From 630d094e3ac215b2fb99205c2353c9a610592616 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 13 Apr 2021 10:08:47 -0500
Subject: [PATCH 01/49] initial changes

---
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diff --git a/docs/cudf/source/_static/params.css b/docs/cudf/source/_static/params.css
index 475b9dfb4ec..50a0e8bea3b 100644
--- a/docs/cudf/source/_static/params.css
+++ b/docs/cudf/source/_static/params.css
@@ -40,3 +40,22 @@ table.io-supported-types-table {
 table.io-supported-types-table thead{
     text-align: center !important;
 }
+
+:root {
+
+  --pst-color-active-navigation: 114, 83, 237;
+  --pst-color-navbar-link: 77, 77, 77;
+  --pst-color-navbar-link-hover: var(--pst-color-active-navigation);
+  --pst-color-navbar-link-active: var(--pst-color-active-navigation);
+  --pst-color-sidebar-link: 77, 77, 77;
+  --pst-color-sidebar-link-hover: var(--pst-color-active-navigation);
+  --pst-color-sidebar-link-active: var(--pst-color-active-navigation);
+  --pst-color-sidebar-expander-background-hover: 244, 244, 244;
+  --pst-color-sidebar-caption: 77, 77, 77;
+  --pst-color-toc-link: 119, 117, 122;
+  --pst-color-toc-link-hover: var(--pst-color-active-navigation);
+  --pst-color-toc-link-active: var(--pst-color-active-navigation);
+
+
+
+}
\ No newline at end of file
diff --git a/docs/cudf/source/api.rst b/docs/cudf/source/api.rst
index b4ca0321073..bc227364351 100644
--- a/docs/cudf/source/api.rst
+++ b/docs/cudf/source/api.rst
@@ -1,263 +1,22 @@
-~~~~~~~~~~~~~~~~~~~
-cuDF API Reference
-~~~~~~~~~~~~~~~~~~~
+***************************************
+API documentation and generated content
+***************************************
 
-.. currentmodule:: cudf.core.dataframe
+This page contains general code elements that are common
+for package documentation.
 
-DataFrame
----------
-.. autoclass:: DataFrame
-    :members:
-    :inherited-members:
-    :exclude-members: serialize, deserialize, device_deserialize, device_serialize, host_deserialize, host_serialize, to_dict, itertuples, iterrows
+Autosummary table and API stub pages
+====================================
 
-Series
-------
-.. currentmodule:: cudf.core.series
+.. autosummary::
+   :toctree:
 
-.. autoclass:: Series
-    :members:
-    :inherited-members:
-    :exclude-members: serialize, deserialize, logical_not, logical_or, logical_and, remainder, sum_of_squares, fill, merge, iteritems, items, device_deserialize, device_serialize, host_deserialize, host_serialize, to_dict, tolist, to_list
+   pandas.DataFrame.drop
+   cudf.DataFrame.drop
+   pandas.DataFrame.groupby
+   cudf.DataFrame.where
 
-Lists
------
-.. currentmodule:: cudf.core.column.lists
+.. autosummary::
+   :toctree: generated/
 
-.. autoclass:: ListMethods
-    :members:
-
-Strings
--------
-.. currentmodule:: cudf.core.column.string
-
-.. autoclass:: StringMethods
-    :members:
-
-General Functions
------------------
-.. automodule:: cudf.core.reshape
-    :members:
-.. autofunction:: cudf.to_datetime
-.. autofunction:: cudf.to_numeric
-
-Index
------
-.. currentmodule:: cudf.core.index
-.. autoclass:: Index
-    :members:
-    :inherited-members:
-    :exclude-members: serialize, deserialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-RangeIndex
-----------
-.. currentmodule:: cudf.core.index
-.. autoclass:: RangeIndex
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-GenericIndex
-------------
-.. currentmodule:: cudf.core.index
-.. autoclass:: GenericIndex
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-MultiIndex
-----------
-.. currentmodule:: cudf.core.multiindex
-.. autoclass:: MultiIndex
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-Int8Index
----------
-.. currentmodule:: cudf.core.index
-.. autoclass:: Int8Index
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-Int16Index
-----------
-.. currentmodule:: cudf.core.index
-.. autoclass:: Int16Index
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-Int32Index
-----------
-.. currentmodule:: cudf.core.index
-.. autoclass:: Int32Index
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-Int64Index
-----------
-.. currentmodule:: cudf.core.index
-.. autoclass:: Int64Index
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-UInt8Index
-----------
-.. currentmodule:: cudf.core.index
-.. autoclass:: UInt8Index
-    :inherited-members:
-    :members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-UInt16Index
------------
-.. currentmodule:: cudf.core.index
-.. autoclass:: UInt16Index
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-UInt32Index
------------
-.. currentmodule:: cudf.core.index
-.. autoclass:: UInt32Index
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-UInt64Index
------------
-.. currentmodule:: cudf.core.index
-.. autoclass:: UInt64Index
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-Float32Index
-------------
-.. currentmodule:: cudf.core.index
-.. autoclass:: Float32Index
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-Float64Index
-------------
-.. currentmodule:: cudf.core.index
-.. autoclass:: Float64Index
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-CategoricalIndex
-----------------
-.. currentmodule:: cudf.core.index
-.. autoclass:: CategoricalIndex
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-StringIndex
------------
-.. currentmodule:: cudf.core.index
-.. autoclass:: StringIndex
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-DatetimeIndex
--------------
-.. currentmodule:: cudf.core.index
-.. autoclass:: DatetimeIndex
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-TimedeltaIndex
---------------
-.. currentmodule:: cudf.core.index
-.. autoclass:: TimedeltaIndex
-    :members:
-    :inherited-members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize, tolist, to_list
-
-Categories
-----------
-.. currentmodule:: cudf.core.column.categorical
-
-.. autoclass:: CategoricalAccessor
-    :members:
-
-GroupBy
--------
-.. currentmodule:: cudf.core.groupby.groupby
-
-.. autoclass:: GroupBy
-    :members:
-    :exclude-members: deserialize, serialize, device_deserialize, device_serialize, host_deserialize, host_serialize
-
-Window
-------
-.. currentmodule:: cudf.core.window
-.. autoclass:: Rolling
-    :members:
-
-
-General utility functions
--------------------------
-.. currentmodule:: cudf.testing
-
-.. automodule:: cudf.testing.testing
-    :members:
-
-
-Timedelta Properties
---------------------
-.. currentmodule:: cudf.core.series
-.. autoclass:: TimedeltaProperties
-    :members:
-
-Datetime Properties
--------------------
-.. currentmodule:: cudf.core.series
-.. autoclass:: DatetimeProperties
-    :members:
-
-IO
---
-.. currentmodule:: cudf.io
-
-.. automodule:: cudf.io.csv
-    :members:
-.. automodule:: cudf.io.parquet
-    :members:
-.. automodule:: cudf.io.orc
-    :members:
-.. automodule:: cudf.io.json
-    :members:
-.. automodule:: cudf.io.avro
-    :members:
-.. automodule:: cudf.io.dlpack
-    :members:
-.. automodule:: cudf.io.feather
-    :members:
-.. automodule:: cudf.io.hdf
-    :members:
-
-Extending cuDF
-----------------
-.. currentmodule:: cudf.api.extensions
-
-.. automodule:: cudf.api.extensions.accessor
-    :members:
-
-GpuArrowReader
---------------
-.. currentmodule:: cudf.comm.gpuarrow
-.. autoclass:: GpuArrowReader
-    :members:
-    :exclude-members: count, index
+   pandas.Series.array
diff --git a/docs/cudf/source/api/cudf.core.dataframe.DataFrame.rst b/docs/cudf/source/api/cudf.core.dataframe.DataFrame.rst
new file mode 100644
index 00000000000..15108d48ca1
--- /dev/null
+++ b/docs/cudf/source/api/cudf.core.dataframe.DataFrame.rst
@@ -0,0 +1,261 @@
+DataFrame
+=========
+
+.. currentmodule:: cudf.core.dataframe
+
+.. autoclass:: DataFrame
+   :show-inheritance:
+
+   .. rubric:: Attributes Summary
+
+   .. autosummary::
+
+      ~DataFrame.T
+      ~DataFrame.at
+      ~DataFrame.columns
+      ~DataFrame.dtypes
+      ~DataFrame.iat
+      ~DataFrame.iloc
+      ~DataFrame.index
+      ~DataFrame.loc
+      ~DataFrame.ndim
+      ~DataFrame.shape
+      ~DataFrame.values
+
+   .. rubric:: Methods Summary
+
+   .. autosummary::
+
+      ~DataFrame.add
+      ~DataFrame.agg
+      ~DataFrame.all
+      ~DataFrame.any
+      ~DataFrame.append
+      ~DataFrame.apply_chunks
+      ~DataFrame.apply_rows
+      ~DataFrame.argsort
+      ~DataFrame.as_gpu_matrix
+      ~DataFrame.as_matrix
+      ~DataFrame.assign
+      ~DataFrame.astype
+      ~DataFrame.corr
+      ~DataFrame.count
+      ~DataFrame.cov
+      ~DataFrame.cummax
+      ~DataFrame.cummin
+      ~DataFrame.cumprod
+      ~DataFrame.cumsum
+      ~DataFrame.describe
+      ~DataFrame.deserialize
+      ~DataFrame.div
+      ~DataFrame.drop
+      ~DataFrame.drop_duplicates
+      ~DataFrame.equals
+      ~DataFrame.explode
+      ~DataFrame.floordiv
+      ~DataFrame.from_arrow
+      ~DataFrame.from_pandas
+      ~DataFrame.from_records
+      ~DataFrame.groupby
+      ~DataFrame.hash_columns
+      ~DataFrame.head
+      ~DataFrame.info
+      ~DataFrame.insert
+      ~DataFrame.isin
+      ~DataFrame.iteritems
+      ~DataFrame.iterrows
+      ~DataFrame.itertuples
+      ~DataFrame.join
+      ~DataFrame.keys
+      ~DataFrame.kurt
+      ~DataFrame.kurtosis
+      ~DataFrame.label_encoding
+      ~DataFrame.max
+      ~DataFrame.mean
+      ~DataFrame.melt
+      ~DataFrame.memory_usage
+      ~DataFrame.merge
+      ~DataFrame.min
+      ~DataFrame.mod
+      ~DataFrame.mode
+      ~DataFrame.mul
+      ~DataFrame.nans_to_nulls
+      ~DataFrame.nlargest
+      ~DataFrame.nsmallest
+      ~DataFrame.one_hot_encoding
+      ~DataFrame.partition_by_hash
+      ~DataFrame.pivot
+      ~DataFrame.pop
+      ~DataFrame.pow
+      ~DataFrame.prod
+      ~DataFrame.product
+      ~DataFrame.quantile
+      ~DataFrame.quantiles
+      ~DataFrame.query
+      ~DataFrame.radd
+      ~DataFrame.rdiv
+      ~DataFrame.reindex
+      ~DataFrame.rename
+      ~DataFrame.replace
+      ~DataFrame.reset_index
+      ~DataFrame.rfloordiv
+      ~DataFrame.rmod
+      ~DataFrame.rmul
+      ~DataFrame.rolling
+      ~DataFrame.rpow
+      ~DataFrame.rsub
+      ~DataFrame.rtruediv
+      ~DataFrame.select_dtypes
+      ~DataFrame.serialize
+      ~DataFrame.set_index
+      ~DataFrame.skew
+      ~DataFrame.sort_index
+      ~DataFrame.sort_values
+      ~DataFrame.stack
+      ~DataFrame.std
+      ~DataFrame.sub
+      ~DataFrame.sum
+      ~DataFrame.tail
+      ~DataFrame.take
+      ~DataFrame.to_arrow
+      ~DataFrame.to_csv
+      ~DataFrame.to_dict
+      ~DataFrame.to_dlpack
+      ~DataFrame.to_feather
+      ~DataFrame.to_hdf
+      ~DataFrame.to_json
+      ~DataFrame.to_orc
+      ~DataFrame.to_pandas
+      ~DataFrame.to_parquet
+      ~DataFrame.to_records
+      ~DataFrame.to_string
+      ~DataFrame.transpose
+      ~DataFrame.truediv
+      ~DataFrame.unstack
+      ~DataFrame.update
+      ~DataFrame.var
+
+   .. rubric:: Attributes Documentation
+
+   .. autoattribute:: T
+   .. autoattribute:: at
+   .. autoattribute:: columns
+   .. autoattribute:: dtypes
+   .. autoattribute:: iat
+   .. autoattribute:: iloc
+   .. autoattribute:: index
+   .. autoattribute:: loc
+   .. autoattribute:: ndim
+   .. autoattribute:: shape
+   .. autoattribute:: values
+
+   .. rubric:: Methods Documentation
+
+   .. automethod:: add
+   .. automethod:: agg
+   .. automethod:: all
+   .. automethod:: any
+   .. automethod:: append
+   .. automethod:: apply_chunks
+   .. automethod:: apply_rows
+   .. automethod:: argsort
+   .. automethod:: as_gpu_matrix
+   .. automethod:: as_matrix
+   .. automethod:: assign
+   .. automethod:: astype
+   .. automethod:: corr
+   .. automethod:: count
+   .. automethod:: cov
+   .. automethod:: cummax
+   .. automethod:: cummin
+   .. automethod:: cumprod
+   .. automethod:: cumsum
+   .. automethod:: describe
+   .. automethod:: deserialize
+   .. automethod:: div
+   .. automethod:: drop
+   .. automethod:: drop_duplicates
+   .. automethod:: equals
+   .. automethod:: explode
+   .. automethod:: floordiv
+   .. automethod:: from_arrow
+   .. automethod:: from_pandas
+   .. automethod:: from_records
+   .. automethod:: groupby
+   .. automethod:: hash_columns
+   .. automethod:: head
+   .. automethod:: info
+   .. automethod:: insert
+   .. automethod:: isin
+   .. automethod:: iteritems
+   .. automethod:: iterrows
+   .. automethod:: itertuples
+   .. automethod:: join
+   .. automethod:: keys
+   .. automethod:: kurt
+   .. automethod:: kurtosis
+   .. automethod:: label_encoding
+   .. automethod:: max
+   .. automethod:: mean
+   .. automethod:: melt
+   .. automethod:: memory_usage
+   .. automethod:: merge
+   .. automethod:: min
+   .. automethod:: mod
+   .. automethod:: mode
+   .. automethod:: mul
+   .. automethod:: nans_to_nulls
+   .. automethod:: nlargest
+   .. automethod:: nsmallest
+   .. automethod:: one_hot_encoding
+   .. automethod:: partition_by_hash
+   .. automethod:: pivot
+   .. automethod:: pop
+   .. automethod:: pow
+   .. automethod:: prod
+   .. automethod:: product
+   .. automethod:: quantile
+   .. automethod:: quantiles
+   .. automethod:: query
+   .. automethod:: radd
+   .. automethod:: rdiv
+   .. automethod:: reindex
+   .. automethod:: rename
+   .. automethod:: replace
+   .. automethod:: reset_index
+   .. automethod:: rfloordiv
+   .. automethod:: rmod
+   .. automethod:: rmul
+   .. automethod:: rolling
+   .. automethod:: rpow
+   .. automethod:: rsub
+   .. automethod:: rtruediv
+   .. automethod:: select_dtypes
+   .. automethod:: serialize
+   .. automethod:: set_index
+   .. automethod:: skew
+   .. automethod:: sort_index
+   .. automethod:: sort_values
+   .. automethod:: stack
+   .. automethod:: std
+   .. automethod:: sub
+   .. automethod:: sum
+   .. automethod:: tail
+   .. automethod:: take
+   .. automethod:: to_arrow
+   .. automethod:: to_csv
+   .. automethod:: to_dict
+   .. automethod:: to_dlpack
+   .. automethod:: to_feather
+   .. automethod:: to_hdf
+   .. automethod:: to_json
+   .. automethod:: to_orc
+   .. automethod:: to_pandas
+   .. automethod:: to_parquet
+   .. automethod:: to_records
+   .. automethod:: to_string
+   .. automethod:: transpose
+   .. automethod:: truediv
+   .. automethod:: unstack
+   .. automethod:: update
+   .. automethod:: var
diff --git a/docs/cudf/source/api/cudf.core.dataframe.extract_col.rst b/docs/cudf/source/api/cudf.core.dataframe.extract_col.rst
new file mode 100644
index 00000000000..345172b7445
--- /dev/null
+++ b/docs/cudf/source/api/cudf.core.dataframe.extract_col.rst
@@ -0,0 +1,6 @@
+extract_col
+===========
+
+.. currentmodule:: cudf.core.dataframe
+
+.. autofunction:: extract_col
diff --git a/docs/cudf/source/api/cudf.core.dataframe.from_pandas.rst b/docs/cudf/source/api/cudf.core.dataframe.from_pandas.rst
new file mode 100644
index 00000000000..620427315d0
--- /dev/null
+++ b/docs/cudf/source/api/cudf.core.dataframe.from_pandas.rst
@@ -0,0 +1,6 @@
+from_pandas
+===========
+
+.. currentmodule:: cudf.core.dataframe
+
+.. autofunction:: from_pandas
diff --git a/docs/cudf/source/api/cudf.core.dataframe.merge.rst b/docs/cudf/source/api/cudf.core.dataframe.merge.rst
new file mode 100644
index 00000000000..8b4ad51b3e8
--- /dev/null
+++ b/docs/cudf/source/api/cudf.core.dataframe.merge.rst
@@ -0,0 +1,6 @@
+merge
+=====
+
+.. currentmodule:: cudf.core.dataframe
+
+.. autofunction:: merge
diff --git a/docs/cudf/source/api_docs/api.rst b/docs/cudf/source/api_docs/api.rst
new file mode 100644
index 00000000000..bc227364351
--- /dev/null
+++ b/docs/cudf/source/api_docs/api.rst
@@ -0,0 +1,22 @@
+***************************************
+API documentation and generated content
+***************************************
+
+This page contains general code elements that are common
+for package documentation.
+
+Autosummary table and API stub pages
+====================================
+
+.. autosummary::
+   :toctree:
+
+   pandas.DataFrame.drop
+   cudf.DataFrame.drop
+   pandas.DataFrame.groupby
+   cudf.DataFrame.where
+
+.. autosummary::
+   :toctree: generated/
+
+   pandas.Series.array
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.T.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.T.rst
new file mode 100644
index 00000000000..25124e8867b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.T.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.T
+================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.T
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.__iter__.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.__iter__.rst
new file mode 100644
index 00000000000..6b677ac74ba
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.__iter__.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.\_\_iter\_\_
+===========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.__iter__
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.add.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.add.rst
new file mode 100644
index 00000000000..b933d48bc0a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.add.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.add
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.add
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.agg.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.agg.rst
new file mode 100644
index 00000000000..c7ac4d41007
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.agg.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.agg
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.agg
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.all.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.all.rst
new file mode 100644
index 00000000000..40542a63be1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.all.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.all
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.all
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.any.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.any.rst
new file mode 100644
index 00000000000..5ba21bd312f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.any.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.any
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.any
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.append.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.append.rst
new file mode 100644
index 00000000000..b82eb6f84cf
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.append.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.append
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.append
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.assign.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.assign.rst
new file mode 100644
index 00000000000..d0915e50f0c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.assign.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.assign
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.assign
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.astype.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.astype.rst
new file mode 100644
index 00000000000..d0fb7487d97
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.astype.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.astype
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.astype
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.at.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.at.rst
new file mode 100644
index 00000000000..f80e6454131
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.at.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.at
+=================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.at
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.clip.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.clip.rst
new file mode 100644
index 00000000000..4e31d13de01
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.clip.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.clip
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.clip
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.columns.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.columns.rst
new file mode 100644
index 00000000000..de1f0258759
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.columns.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.columns
+======================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.columns
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.copy.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.copy.rst
new file mode 100644
index 00000000000..a31a5d2735a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.copy.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.copy
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.copy
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.corr.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.corr.rst
new file mode 100644
index 00000000000..401bb038146
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.corr.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.corr
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.corr
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.count.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.count.rst
new file mode 100644
index 00000000000..fc9648dac50
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.count.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.count
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.count
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.cov.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.cov.rst
new file mode 100644
index 00000000000..c04de8dc7fd
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.cov.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.cov
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.cov
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.cummax.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.cummax.rst
new file mode 100644
index 00000000000..f7f7528c6f4
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.cummax.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.cummax
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.cummax
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.cummin.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.cummin.rst
new file mode 100644
index 00000000000..9ca2e6b1260
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.cummin.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.cummin
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.cummin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.cumprod.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.cumprod.rst
new file mode 100644
index 00000000000..a8466880c01
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.cumprod.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.cumprod
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.cumprod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.cumsum.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.cumsum.rst
new file mode 100644
index 00000000000..2d708bef623
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.cumsum.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.cumsum
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.cumsum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.describe.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.describe.rst
new file mode 100644
index 00000000000..b5a873a900c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.describe.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.describe
+=======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.describe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.div.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.div.rst
new file mode 100644
index 00000000000..09712d78e0c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.div.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.div
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.div
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.drop.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.drop.rst
new file mode 100644
index 00000000000..6d46566674d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.drop.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.drop
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.drop_duplicates.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.drop_duplicates.rst
new file mode 100644
index 00000000000..da2ff3ac745
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.drop_duplicates.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.drop\_duplicates
+===============================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.drop_duplicates
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.dropna.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.dropna.rst
new file mode 100644
index 00000000000..ea12c21a746
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.dropna.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.dropna
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.dropna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.dtypes.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.dtypes.rst
new file mode 100644
index 00000000000..a1621218fda
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.dtypes.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.dtypes
+=====================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.dtypes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.empty.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.empty.rst
new file mode 100644
index 00000000000..a76cd5f4c7f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.empty.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.empty
+====================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.empty
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.equals.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.equals.rst
new file mode 100644
index 00000000000..1d13ff81a8d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.equals.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.equals
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.equals
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.explode.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.explode.rst
new file mode 100644
index 00000000000..c3c8a7c5517
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.explode.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.explode
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.explode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.fillna.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.fillna.rst
new file mode 100644
index 00000000000..e4a9d17116c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.fillna.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.fillna
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.fillna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.floordiv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.floordiv.rst
new file mode 100644
index 00000000000..596d6527f73
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.floordiv.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.floordiv
+=======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.floordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.from_records.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.from_records.rst
new file mode 100644
index 00000000000..d846fb716d6
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.from_records.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.from\_records
+============================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.from_records
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.groupby.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.groupby.rst
new file mode 100644
index 00000000000..1336f1799df
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.groupby.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.groupby
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.head.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.head.rst
new file mode 100644
index 00000000000..300ce94c5b1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.head.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.head
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.head
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.iat.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.iat.rst
new file mode 100644
index 00000000000..63ac068dbd1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.iat.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.iat
+==================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.iat
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.iloc.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.iloc.rst
new file mode 100644
index 00000000000..b4901981e82
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.iloc.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.iloc
+===================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.iloc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.index.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.index.rst
new file mode 100644
index 00000000000..45dd84fb2ff
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.index.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.index
+====================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.info.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.info.rst
new file mode 100644
index 00000000000..155ab913cda
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.info.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.info
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.info
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.insert.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.insert.rst
new file mode 100644
index 00000000000..59147e0e1d2
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.insert.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.insert
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.insert
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.isin.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.isin.rst
new file mode 100644
index 00000000000..246adfd5839
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.isin.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.isin
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.isin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.isna.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.isna.rst
new file mode 100644
index 00000000000..c357d1fc735
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.isna.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.isna
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.isna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.isnull.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.isnull.rst
new file mode 100644
index 00000000000..6a53524bf77
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.isnull.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.isnull
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.isnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.iteritems.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.iteritems.rst
new file mode 100644
index 00000000000..53a7a765408
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.iteritems.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.iteritems
+========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.iteritems
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.iterrows.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.iterrows.rst
new file mode 100644
index 00000000000..b8786b8c245
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.iterrows.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.iterrows
+=======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.iterrows
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.itertuples.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.itertuples.rst
new file mode 100644
index 00000000000..39b423fae97
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.itertuples.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.itertuples
+=========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.itertuples
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.join.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.join.rst
new file mode 100644
index 00000000000..fbf3a654194
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.join.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.join
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.join
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.keys.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.keys.rst
new file mode 100644
index 00000000000..65fd44cb545
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.keys.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.keys
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.keys
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.kurt.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.kurt.rst
new file mode 100644
index 00000000000..c0269b06880
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.kurt.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.kurt
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.kurt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.kurtosis.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.kurtosis.rst
new file mode 100644
index 00000000000..51fd744610c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.kurtosis.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.kurtosis
+=======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.kurtosis
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.loc.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.loc.rst
new file mode 100644
index 00000000000..3e3aa275803
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.loc.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.loc
+==================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.loc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.mask.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.mask.rst
new file mode 100644
index 00000000000..75ea8294e9a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.mask.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.mask
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.mask
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.max.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.max.rst
new file mode 100644
index 00000000000..c79af1a6ad3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.max.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.max
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.max
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.mean.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.mean.rst
new file mode 100644
index 00000000000..0de3160ae59
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.mean.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.mean
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.mean
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.melt.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.melt.rst
new file mode 100644
index 00000000000..2fa561ce7ee
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.melt.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.melt
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.melt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.memory_usage.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.memory_usage.rst
new file mode 100644
index 00000000000..28d77875b32
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.memory_usage.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.memory\_usage
+============================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.memory_usage
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.merge.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.merge.rst
new file mode 100644
index 00000000000..507ac7bd257
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.merge.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.merge
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.merge
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.min.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.min.rst
new file mode 100644
index 00000000000..34fa97c3366
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.min.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.min
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.min
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.mod.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.mod.rst
new file mode 100644
index 00000000000..5f07f14315a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.mod.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.mod
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.mod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.mode.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.mode.rst
new file mode 100644
index 00000000000..23cb6a9c8d2
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.mode.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.mode
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.mode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.mul.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.mul.rst
new file mode 100644
index 00000000000..8a0a9897746
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.mul.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.mul
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.mul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.ndim.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.ndim.rst
new file mode 100644
index 00000000000..d55a8eee601
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.ndim.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.ndim
+===================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.ndim
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.nlargest.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.nlargest.rst
new file mode 100644
index 00000000000..1966e173b15
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.nlargest.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.nlargest
+=======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.nlargest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.notna.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.notna.rst
new file mode 100644
index 00000000000..4103c1912c7
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.notna.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.notna
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.notna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.notnull.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.notnull.rst
new file mode 100644
index 00000000000..e4979c3dd9e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.notnull.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.notnull
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.notnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.nsmallest.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.nsmallest.rst
new file mode 100644
index 00000000000..4c07c32b5d5
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.nsmallest.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.nsmallest
+========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.nsmallest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.pipe.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.pipe.rst
new file mode 100644
index 00000000000..c72fe47e131
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.pipe.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.pipe
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.pipe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.pivot.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.pivot.rst
new file mode 100644
index 00000000000..89a6cb75afa
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.pivot.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.pivot
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.pivot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.pop.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.pop.rst
new file mode 100644
index 00000000000..63eb7aabfaa
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.pop.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.pop
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.pop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.pow.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.pow.rst
new file mode 100644
index 00000000000..5357fa29104
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.pow.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.pow
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.pow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.prod.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.prod.rst
new file mode 100644
index 00000000000..5ebf3e02716
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.prod.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.prod
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.prod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.product.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.product.rst
new file mode 100644
index 00000000000..13749e5b086
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.product.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.product
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.product
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.quantile.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.quantile.rst
new file mode 100644
index 00000000000..4ab302cc82f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.quantile.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.quantile
+=======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.quantile
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.query.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.query.rst
new file mode 100644
index 00000000000..f402361a8f2
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.query.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.query
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.query
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.radd.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.radd.rst
new file mode 100644
index 00000000000..a27ae4e1649
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.radd.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.radd
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.radd
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rank.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rank.rst
new file mode 100644
index 00000000000..5543fed2a4b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rank.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.rank
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.rank
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rdiv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rdiv.rst
new file mode 100644
index 00000000000..e71f5fdad8e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rdiv.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.rdiv
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.rdiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.reindex.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.reindex.rst
new file mode 100644
index 00000000000..309abf95af3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.reindex.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.reindex
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.reindex
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rename.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rename.rst
new file mode 100644
index 00000000000..b24f9b8243a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rename.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.rename
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.rename
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.replace.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.replace.rst
new file mode 100644
index 00000000000..dd316bc6ec8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.replace.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.replace
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.replace
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.reset_index.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.reset_index.rst
new file mode 100644
index 00000000000..5b3add04c0e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.reset_index.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.reset\_index
+===========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.reset_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rfloordiv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rfloordiv.rst
new file mode 100644
index 00000000000..99e59b81fd8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rfloordiv.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.rfloordiv
+========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.rfloordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rmod.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rmod.rst
new file mode 100644
index 00000000000..1cd39611612
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rmod.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.rmod
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.rmod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rmul.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rmul.rst
new file mode 100644
index 00000000000..3c5b71a27e4
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rmul.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.rmul
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.rmul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rolling.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rolling.rst
new file mode 100644
index 00000000000..21fbb9d0058
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rolling.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.rolling
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.rolling
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.round.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.round.rst
new file mode 100644
index 00000000000..73edfd13546
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.round.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.round
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.round
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rpow.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rpow.rst
new file mode 100644
index 00000000000..0f39b7f40a5
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rpow.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.rpow
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.rpow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rst
new file mode 100644
index 00000000000..6d7607c03d2
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rst
@@ -0,0 +1,181 @@
+cudf.DataFrame
+==============
+
+.. currentmodule:: cudf
+
+.. autoclass:: DataFrame
+
+   
+   .. automethod:: __init__
+
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DataFrame.__init__
+      ~DataFrame.acos
+      ~DataFrame.add
+      ~DataFrame.agg
+      ~DataFrame.all
+      ~DataFrame.any
+      ~DataFrame.append
+      ~DataFrame.apply_chunks
+      ~DataFrame.apply_rows
+      ~DataFrame.argsort
+      ~DataFrame.as_gpu_matrix
+      ~DataFrame.as_matrix
+      ~DataFrame.asin
+      ~DataFrame.assign
+      ~DataFrame.astype
+      ~DataFrame.atan
+      ~DataFrame.clip
+      ~DataFrame.copy
+      ~DataFrame.corr
+      ~DataFrame.cos
+      ~DataFrame.count
+      ~DataFrame.cov
+      ~DataFrame.cummax
+      ~DataFrame.cummin
+      ~DataFrame.cumprod
+      ~DataFrame.cumsum
+      ~DataFrame.describe
+      ~DataFrame.deserialize
+      ~DataFrame.device_deserialize
+      ~DataFrame.device_serialize
+      ~DataFrame.div
+      ~DataFrame.drop
+      ~DataFrame.drop_duplicates
+      ~DataFrame.dropna
+      ~DataFrame.equals
+      ~DataFrame.exp
+      ~DataFrame.explode
+      ~DataFrame.fillna
+      ~DataFrame.floordiv
+      ~DataFrame.from_arrow
+      ~DataFrame.from_pandas
+      ~DataFrame.from_records
+      ~DataFrame.groupby
+      ~DataFrame.hash_columns
+      ~DataFrame.head
+      ~DataFrame.host_deserialize
+      ~DataFrame.host_serialize
+      ~DataFrame.info
+      ~DataFrame.insert
+      ~DataFrame.interleave_columns
+      ~DataFrame.isin
+      ~DataFrame.isna
+      ~DataFrame.isnull
+      ~DataFrame.iteritems
+      ~DataFrame.iterrows
+      ~DataFrame.itertuples
+      ~DataFrame.join
+      ~DataFrame.keys
+      ~DataFrame.kurt
+      ~DataFrame.kurtosis
+      ~DataFrame.label_encoding
+      ~DataFrame.log
+      ~DataFrame.mask
+      ~DataFrame.max
+      ~DataFrame.mean
+      ~DataFrame.melt
+      ~DataFrame.memory_usage
+      ~DataFrame.merge
+      ~DataFrame.min
+      ~DataFrame.mod
+      ~DataFrame.mode
+      ~DataFrame.mul
+      ~DataFrame.nans_to_nulls
+      ~DataFrame.nlargest
+      ~DataFrame.notna
+      ~DataFrame.notnull
+      ~DataFrame.nsmallest
+      ~DataFrame.one_hot_encoding
+      ~DataFrame.partition_by_hash
+      ~DataFrame.pipe
+      ~DataFrame.pivot
+      ~DataFrame.pop
+      ~DataFrame.pow
+      ~DataFrame.prod
+      ~DataFrame.product
+      ~DataFrame.quantile
+      ~DataFrame.quantiles
+      ~DataFrame.query
+      ~DataFrame.radd
+      ~DataFrame.rank
+      ~DataFrame.rdiv
+      ~DataFrame.reindex
+      ~DataFrame.rename
+      ~DataFrame.repeat
+      ~DataFrame.replace
+      ~DataFrame.reset_index
+      ~DataFrame.rfloordiv
+      ~DataFrame.rmod
+      ~DataFrame.rmul
+      ~DataFrame.rolling
+      ~DataFrame.round
+      ~DataFrame.rpow
+      ~DataFrame.rsub
+      ~DataFrame.rtruediv
+      ~DataFrame.sample
+      ~DataFrame.scatter_by_map
+      ~DataFrame.searchsorted
+      ~DataFrame.select_dtypes
+      ~DataFrame.serialize
+      ~DataFrame.set_index
+      ~DataFrame.shift
+      ~DataFrame.sin
+      ~DataFrame.skew
+      ~DataFrame.sort_index
+      ~DataFrame.sort_values
+      ~DataFrame.sqrt
+      ~DataFrame.stack
+      ~DataFrame.std
+      ~DataFrame.sub
+      ~DataFrame.sum
+      ~DataFrame.tail
+      ~DataFrame.take
+      ~DataFrame.tan
+      ~DataFrame.tile
+      ~DataFrame.to_arrow
+      ~DataFrame.to_csv
+      ~DataFrame.to_dict
+      ~DataFrame.to_dlpack
+      ~DataFrame.to_feather
+      ~DataFrame.to_hdf
+      ~DataFrame.to_json
+      ~DataFrame.to_orc
+      ~DataFrame.to_pandas
+      ~DataFrame.to_parquet
+      ~DataFrame.to_records
+      ~DataFrame.to_string
+      ~DataFrame.transpose
+      ~DataFrame.truediv
+      ~DataFrame.unstack
+      ~DataFrame.update
+      ~DataFrame.var
+      ~DataFrame.where
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DataFrame.T
+      ~DataFrame.at
+      ~DataFrame.columns
+      ~DataFrame.dtypes
+      ~DataFrame.empty
+      ~DataFrame.iat
+      ~DataFrame.iloc
+      ~DataFrame.index
+      ~DataFrame.loc
+      ~DataFrame.ndim
+      ~DataFrame.shape
+      ~DataFrame.size
+      ~DataFrame.values
+   
+   
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rsub.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rsub.rst
new file mode 100644
index 00000000000..678593a6cd1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rsub.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.rsub
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.rsub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rtruediv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rtruediv.rst
new file mode 100644
index 00000000000..c6f9d551408
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.rtruediv.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.rtruediv
+=======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.rtruediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.sample.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.sample.rst
new file mode 100644
index 00000000000..403e7d2ddc3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.sample.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.sample
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.sample
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.select_dtypes.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.select_dtypes.rst
new file mode 100644
index 00000000000..3870b1bfc49
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.select_dtypes.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.select\_dtypes
+=============================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.select_dtypes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.set_index.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.set_index.rst
new file mode 100644
index 00000000000..ccb8f37a93f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.set_index.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.set\_index
+=========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.set_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.shape.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.shape.rst
new file mode 100644
index 00000000000..5d20c5c39fd
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.shape.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.shape
+====================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.shape
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.shift.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.shift.rst
new file mode 100644
index 00000000000..52341677810
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.shift.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.shift
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.shift
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.size.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.size.rst
new file mode 100644
index 00000000000..6392d0bfc01
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.size.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.size
+===================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.size
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.skew.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.skew.rst
new file mode 100644
index 00000000000..23b2923c35e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.skew.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.skew
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.skew
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_index.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_index.rst
new file mode 100644
index 00000000000..92a92185435
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_index.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.sort\_index
+==========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.sort_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_values.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_values.rst
new file mode 100644
index 00000000000..118307482df
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_values.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.sort\_values
+===========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.sort_values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.stack.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.stack.rst
new file mode 100644
index 00000000000..9d2706107f5
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.stack.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.stack
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.stack
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.std.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.std.rst
new file mode 100644
index 00000000000..c9854c22784
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.std.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.std
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.std
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.sub.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.sub.rst
new file mode 100644
index 00000000000..3003228e933
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.sub.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.sub
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.sub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.sum.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.sum.rst
new file mode 100644
index 00000000000..aaa037c8f39
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.sum.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.sum
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.sum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.tail.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.tail.rst
new file mode 100644
index 00000000000..ceb00034370
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.tail.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.tail
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.tail
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.take.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.take.rst
new file mode 100644
index 00000000000..4c4ab320209
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.take.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.take
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.take
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_csv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_csv.rst
new file mode 100644
index 00000000000..16f8892eb46
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_csv.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.to\_csv
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.to_csv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_dict.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_dict.rst
new file mode 100644
index 00000000000..1872692d2cc
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_dict.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.to\_dict
+=======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.to_dict
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_feather.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_feather.rst
new file mode 100644
index 00000000000..544fd3037f0
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_feather.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.to\_feather
+==========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.to_feather
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_hdf.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_hdf.rst
new file mode 100644
index 00000000000..0c73253e98f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_hdf.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.to\_hdf
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.to_hdf
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_json.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_json.rst
new file mode 100644
index 00000000000..9d1bcbb67dd
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_json.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.to\_json
+=======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.to_json
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_parquet.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_parquet.rst
new file mode 100644
index 00000000000..038aaf8155c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_parquet.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.to\_parquet
+==========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.to_parquet
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_records.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_records.rst
new file mode 100644
index 00000000000..6d4c856a207
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_records.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.to\_records
+==========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.to_records
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_string.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_string.rst
new file mode 100644
index 00000000000..604e9f74200
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_string.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.to\_string
+=========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.to_string
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.transpose.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.transpose.rst
new file mode 100644
index 00000000000..3b65e5696a3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.transpose.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.transpose
+========================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.transpose
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.truediv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.truediv.rst
new file mode 100644
index 00000000000..b5e85b5f41c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.truediv.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.truediv
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.truediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.unstack.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.unstack.rst
new file mode 100644
index 00000000000..8cd26b58ae9
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.unstack.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.unstack
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.unstack
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.update.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.update.rst
new file mode 100644
index 00000000000..40c518ffa40
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.update.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.update
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.update
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.values.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.values.rst
new file mode 100644
index 00000000000..c786c84f5f8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.values.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.values
+=====================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: DataFrame.values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.var.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.var.rst
new file mode 100644
index 00000000000..3313fd72b6e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.var.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.var
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.var
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.where.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.where.rst
new file mode 100644
index 00000000000..c2035bf11b0
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.DataFrame.where.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.where
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.where
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.__array__.rst b/docs/cudf/source/api_docs/api/cudf.Series.__array__.rst
new file mode 100644
index 00000000000..0c4c8de3369
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.__array__.rst
@@ -0,0 +1,6 @@
+cudf.Series.\_\_array\_\_
+=========================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.__array__
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.__iter__.rst b/docs/cudf/source/api_docs/api/cudf.Series.__iter__.rst
new file mode 100644
index 00000000000..d5a4d14f135
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.__iter__.rst
@@ -0,0 +1,6 @@
+cudf.Series.\_\_iter\_\_
+========================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.__iter__
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.abs.rst b/docs/cudf/source/api_docs/api/cudf.Series.abs.rst
new file mode 100644
index 00000000000..73c5da6a8ec
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.abs.rst
@@ -0,0 +1,6 @@
+cudf.Series.abs
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.abs
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.add.rst b/docs/cudf/source/api_docs/api/cudf.Series.add.rst
new file mode 100644
index 00000000000..8d12133bc99
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.add.rst
@@ -0,0 +1,6 @@
+cudf.Series.add
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.add
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.all.rst b/docs/cudf/source/api_docs/api/cudf.Series.all.rst
new file mode 100644
index 00000000000..b2f10c4d6d9
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.all.rst
@@ -0,0 +1,6 @@
+cudf.Series.all
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.all
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.any.rst b/docs/cudf/source/api_docs/api/cudf.Series.any.rst
new file mode 100644
index 00000000000..aa14761853a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.any.rst
@@ -0,0 +1,6 @@
+cudf.Series.any
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.any
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.append.rst b/docs/cudf/source/api_docs/api/cudf.Series.append.rst
new file mode 100644
index 00000000000..28001818b75
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.append.rst
@@ -0,0 +1,6 @@
+cudf.Series.append
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.append
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.argsort.rst b/docs/cudf/source/api_docs/api/cudf.Series.argsort.rst
new file mode 100644
index 00000000000..49f2792f1b4
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.argsort.rst
@@ -0,0 +1,6 @@
+cudf.Series.argsort
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.argsort
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.astype.rst b/docs/cudf/source/api_docs/api/cudf.Series.astype.rst
new file mode 100644
index 00000000000..4e277445685
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.astype.rst
@@ -0,0 +1,6 @@
+cudf.Series.astype
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.astype
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cat.rst b/docs/cudf/source/api_docs/api/cudf.Series.cat.rst
new file mode 100644
index 00000000000..7cf5613422f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.cat.rst
@@ -0,0 +1,6 @@
+cudf.Series.cat
+===============
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.cat
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.clip.rst b/docs/cudf/source/api_docs/api/cudf.Series.clip.rst
new file mode 100644
index 00000000000..cf692d4748a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.clip.rst
@@ -0,0 +1,6 @@
+cudf.Series.clip
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.clip
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.copy.rst b/docs/cudf/source/api_docs/api/cudf.Series.copy.rst
new file mode 100644
index 00000000000..be01cb74123
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.copy.rst
@@ -0,0 +1,6 @@
+cudf.Series.copy
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.copy
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.corr.rst b/docs/cudf/source/api_docs/api/cudf.Series.corr.rst
new file mode 100644
index 00000000000..58f2f48e6dc
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.corr.rst
@@ -0,0 +1,6 @@
+cudf.Series.corr
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.corr
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.count.rst b/docs/cudf/source/api_docs/api/cudf.Series.count.rst
new file mode 100644
index 00000000000..97c97cd0a6b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.count.rst
@@ -0,0 +1,6 @@
+cudf.Series.count
+=================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.count
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cov.rst b/docs/cudf/source/api_docs/api/cudf.Series.cov.rst
new file mode 100644
index 00000000000..84d7aa345b0
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.cov.rst
@@ -0,0 +1,6 @@
+cudf.Series.cov
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.cov
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cummax.rst b/docs/cudf/source/api_docs/api/cudf.Series.cummax.rst
new file mode 100644
index 00000000000..4280843a488
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.cummax.rst
@@ -0,0 +1,6 @@
+cudf.Series.cummax
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.cummax
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cummin.rst b/docs/cudf/source/api_docs/api/cudf.Series.cummin.rst
new file mode 100644
index 00000000000..5325162dc9e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.cummin.rst
@@ -0,0 +1,6 @@
+cudf.Series.cummin
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.cummin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cumprod.rst b/docs/cudf/source/api_docs/api/cudf.Series.cumprod.rst
new file mode 100644
index 00000000000..89fdaeb3389
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.cumprod.rst
@@ -0,0 +1,6 @@
+cudf.Series.cumprod
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.cumprod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cumsum.rst b/docs/cudf/source/api_docs/api/cudf.Series.cumsum.rst
new file mode 100644
index 00000000000..561d6ad40e8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.cumsum.rst
@@ -0,0 +1,6 @@
+cudf.Series.cumsum
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.cumsum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.describe.rst b/docs/cudf/source/api_docs/api/cudf.Series.describe.rst
new file mode 100644
index 00000000000..e130498cd12
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.describe.rst
@@ -0,0 +1,6 @@
+cudf.Series.describe
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.describe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.diff.rst b/docs/cudf/source/api_docs/api/cudf.Series.diff.rst
new file mode 100644
index 00000000000..6e4f4fdc6fa
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.diff.rst
@@ -0,0 +1,6 @@
+cudf.Series.diff
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.diff
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.drop.rst b/docs/cudf/source/api_docs/api/cudf.Series.drop.rst
new file mode 100644
index 00000000000..bfa29fd5b96
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.drop.rst
@@ -0,0 +1,6 @@
+cudf.Series.drop
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.drop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.drop_duplicates.rst b/docs/cudf/source/api_docs/api/cudf.Series.drop_duplicates.rst
new file mode 100644
index 00000000000..92c8047cf60
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.drop_duplicates.rst
@@ -0,0 +1,6 @@
+cudf.Series.drop\_duplicates
+============================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.drop_duplicates
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.dropna.rst b/docs/cudf/source/api_docs/api/cudf.Series.dropna.rst
new file mode 100644
index 00000000000..58b020cc58b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.dropna.rst
@@ -0,0 +1,6 @@
+cudf.Series.dropna
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.dropna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.dt.rst b/docs/cudf/source/api_docs/api/cudf.Series.dt.rst
new file mode 100644
index 00000000000..dece7c123d2
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.dt.rst
@@ -0,0 +1,6 @@
+cudf.Series.dt
+==============
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.dt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.dtype.rst b/docs/cudf/source/api_docs/api/cudf.Series.dtype.rst
new file mode 100644
index 00000000000..c2ca8be355a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.dtype.rst
@@ -0,0 +1,6 @@
+cudf.Series.dtype
+=================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.dtype
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.empty.rst b/docs/cudf/source/api_docs/api/cudf.Series.empty.rst
new file mode 100644
index 00000000000..b01263df4d0
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.empty.rst
@@ -0,0 +1,6 @@
+cudf.Series.empty
+=================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.empty
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.eq.rst b/docs/cudf/source/api_docs/api/cudf.Series.eq.rst
new file mode 100644
index 00000000000..abdecc43672
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.eq.rst
@@ -0,0 +1,6 @@
+cudf.Series.eq
+==============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.eq
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.equals.rst b/docs/cudf/source/api_docs/api/cudf.Series.equals.rst
new file mode 100644
index 00000000000..a8fd530dbec
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.equals.rst
@@ -0,0 +1,6 @@
+cudf.Series.equals
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.equals
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.explode.rst b/docs/cudf/source/api_docs/api/cudf.Series.explode.rst
new file mode 100644
index 00000000000..77c76b5fb9d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.explode.rst
@@ -0,0 +1,6 @@
+cudf.Series.explode
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.explode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.factorize.rst b/docs/cudf/source/api_docs/api/cudf.Series.factorize.rst
new file mode 100644
index 00000000000..2a5a3e83a40
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.factorize.rst
@@ -0,0 +1,6 @@
+cudf.Series.factorize
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.factorize
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.fillna.rst b/docs/cudf/source/api_docs/api/cudf.Series.fillna.rst
new file mode 100644
index 00000000000..51c10af2bfe
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.fillna.rst
@@ -0,0 +1,6 @@
+cudf.Series.fillna
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.fillna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.floordiv.rst b/docs/cudf/source/api_docs/api/cudf.Series.floordiv.rst
new file mode 100644
index 00000000000..d6dc083c722
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.floordiv.rst
@@ -0,0 +1,6 @@
+cudf.Series.floordiv
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.floordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.ge.rst b/docs/cudf/source/api_docs/api/cudf.Series.ge.rst
new file mode 100644
index 00000000000..d4d4aac0b44
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.ge.rst
@@ -0,0 +1,6 @@
+cudf.Series.ge
+==============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.ge
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.groupby.rst b/docs/cudf/source/api_docs/api/cudf.Series.groupby.rst
new file mode 100644
index 00000000000..d5d73a21e01
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.groupby.rst
@@ -0,0 +1,6 @@
+cudf.Series.groupby
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.gt.rst b/docs/cudf/source/api_docs/api/cudf.Series.gt.rst
new file mode 100644
index 00000000000..820bb11892a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.gt.rst
@@ -0,0 +1,6 @@
+cudf.Series.gt
+==============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.gt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.head.rst b/docs/cudf/source/api_docs/api/cudf.Series.head.rst
new file mode 100644
index 00000000000..34aa2c49ab0
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.head.rst
@@ -0,0 +1,6 @@
+cudf.Series.head
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.head
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.iloc.rst b/docs/cudf/source/api_docs/api/cudf.Series.iloc.rst
new file mode 100644
index 00000000000..6a00f47e5b5
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.iloc.rst
@@ -0,0 +1,6 @@
+cudf.Series.iloc
+================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.iloc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.index.rst b/docs/cudf/source/api_docs/api/cudf.Series.index.rst
new file mode 100644
index 00000000000..4247bb19ae7
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.index.rst
@@ -0,0 +1,6 @@
+cudf.Series.index
+=================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic.rst b/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic.rst
new file mode 100644
index 00000000000..90da44d63b8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic.rst
@@ -0,0 +1,6 @@
+cudf.Series.is\_monotonic
+=========================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.is_monotonic
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_decreasing.rst b/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_decreasing.rst
new file mode 100644
index 00000000000..e13d84f9a7b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_decreasing.rst
@@ -0,0 +1,6 @@
+cudf.Series.is\_monotonic\_decreasing
+=====================================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.is_monotonic_decreasing
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_increasing.rst b/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_increasing.rst
new file mode 100644
index 00000000000..042a38d81cd
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_increasing.rst
@@ -0,0 +1,6 @@
+cudf.Series.is\_monotonic\_increasing
+=====================================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.is_monotonic_increasing
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.is_unique.rst b/docs/cudf/source/api_docs/api/cudf.Series.is_unique.rst
new file mode 100644
index 00000000000..b2e8ccdaf84
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.is_unique.rst
@@ -0,0 +1,6 @@
+cudf.Series.is\_unique
+======================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.is_unique
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.isin.rst b/docs/cudf/source/api_docs/api/cudf.Series.isin.rst
new file mode 100644
index 00000000000..3b8a0d52f12
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.isin.rst
@@ -0,0 +1,6 @@
+cudf.Series.isin
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.isin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.isna.rst b/docs/cudf/source/api_docs/api/cudf.Series.isna.rst
new file mode 100644
index 00000000000..d68e294f088
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.isna.rst
@@ -0,0 +1,6 @@
+cudf.Series.isna
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.isna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.isnull.rst b/docs/cudf/source/api_docs/api/cudf.Series.isnull.rst
new file mode 100644
index 00000000000..36db975b80b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.isnull.rst
@@ -0,0 +1,6 @@
+cudf.Series.isnull
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.isnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.items.rst b/docs/cudf/source/api_docs/api/cudf.Series.items.rst
new file mode 100644
index 00000000000..d04cab76b96
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.items.rst
@@ -0,0 +1,6 @@
+cudf.Series.items
+=================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.items
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.iteritems.rst b/docs/cudf/source/api_docs/api/cudf.Series.iteritems.rst
new file mode 100644
index 00000000000..a4cba62c0b5
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.iteritems.rst
@@ -0,0 +1,6 @@
+cudf.Series.iteritems
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.iteritems
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.keys.rst b/docs/cudf/source/api_docs/api/cudf.Series.keys.rst
new file mode 100644
index 00000000000..d40c33b47e1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.keys.rst
@@ -0,0 +1,6 @@
+cudf.Series.keys
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.keys
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.kurt.rst b/docs/cudf/source/api_docs/api/cudf.Series.kurt.rst
new file mode 100644
index 00000000000..63f6a887ab4
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.kurt.rst
@@ -0,0 +1,6 @@
+cudf.Series.kurt
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.kurt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.kurtosis.rst b/docs/cudf/source/api_docs/api/cudf.Series.kurtosis.rst
new file mode 100644
index 00000000000..e6b479d232a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.kurtosis.rst
@@ -0,0 +1,6 @@
+cudf.Series.kurtosis
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.kurtosis
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.le.rst b/docs/cudf/source/api_docs/api/cudf.Series.le.rst
new file mode 100644
index 00000000000..1ed319207c0
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.le.rst
@@ -0,0 +1,6 @@
+cudf.Series.le
+==============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.le
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.loc.rst b/docs/cudf/source/api_docs/api/cudf.Series.loc.rst
new file mode 100644
index 00000000000..73263375ac9
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.loc.rst
@@ -0,0 +1,6 @@
+cudf.Series.loc
+===============
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.loc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.lt.rst b/docs/cudf/source/api_docs/api/cudf.Series.lt.rst
new file mode 100644
index 00000000000..e3476b31d58
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.lt.rst
@@ -0,0 +1,6 @@
+cudf.Series.lt
+==============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.lt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.map.rst b/docs/cudf/source/api_docs/api/cudf.Series.map.rst
new file mode 100644
index 00000000000..f9df1375682
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.map.rst
@@ -0,0 +1,6 @@
+cudf.Series.map
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.map
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.mask.rst b/docs/cudf/source/api_docs/api/cudf.Series.mask.rst
new file mode 100644
index 00000000000..30474b9115d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.mask.rst
@@ -0,0 +1,6 @@
+cudf.Series.mask
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.mask
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.max.rst b/docs/cudf/source/api_docs/api/cudf.Series.max.rst
new file mode 100644
index 00000000000..8bc038974af
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.max.rst
@@ -0,0 +1,6 @@
+cudf.Series.max
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.max
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.mean.rst b/docs/cudf/source/api_docs/api/cudf.Series.mean.rst
new file mode 100644
index 00000000000..f38a630aefa
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.mean.rst
@@ -0,0 +1,6 @@
+cudf.Series.mean
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.mean
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.median.rst b/docs/cudf/source/api_docs/api/cudf.Series.median.rst
new file mode 100644
index 00000000000..7ca126be8bf
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.median.rst
@@ -0,0 +1,6 @@
+cudf.Series.median
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.median
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.memory_usage.rst b/docs/cudf/source/api_docs/api/cudf.Series.memory_usage.rst
new file mode 100644
index 00000000000..9bbc4a0e42f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.memory_usage.rst
@@ -0,0 +1,6 @@
+cudf.Series.memory\_usage
+=========================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.memory_usage
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.min.rst b/docs/cudf/source/api_docs/api/cudf.Series.min.rst
new file mode 100644
index 00000000000..f67b7fd3ba4
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.min.rst
@@ -0,0 +1,6 @@
+cudf.Series.min
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.min
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.mod.rst b/docs/cudf/source/api_docs/api/cudf.Series.mod.rst
new file mode 100644
index 00000000000..20c8b5573a4
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.mod.rst
@@ -0,0 +1,6 @@
+cudf.Series.mod
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.mod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.mode.rst b/docs/cudf/source/api_docs/api/cudf.Series.mode.rst
new file mode 100644
index 00000000000..614ed44aee8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.mode.rst
@@ -0,0 +1,6 @@
+cudf.Series.mode
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.mode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.mul.rst b/docs/cudf/source/api_docs/api/cudf.Series.mul.rst
new file mode 100644
index 00000000000..16efb7891e1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.mul.rst
@@ -0,0 +1,6 @@
+cudf.Series.mul
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.mul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.name.rst b/docs/cudf/source/api_docs/api/cudf.Series.name.rst
new file mode 100644
index 00000000000..5fc702aa1ed
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.name.rst
@@ -0,0 +1,6 @@
+cudf.Series.name
+================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.name
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.ndim.rst b/docs/cudf/source/api_docs/api/cudf.Series.ndim.rst
new file mode 100644
index 00000000000..4938f0654c1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.ndim.rst
@@ -0,0 +1,6 @@
+cudf.Series.ndim
+================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.ndim
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.ne.rst b/docs/cudf/source/api_docs/api/cudf.Series.ne.rst
new file mode 100644
index 00000000000..84f337eef6f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.ne.rst
@@ -0,0 +1,6 @@
+cudf.Series.ne
+==============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.ne
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.nlargest.rst b/docs/cudf/source/api_docs/api/cudf.Series.nlargest.rst
new file mode 100644
index 00000000000..50b49d6efc3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.nlargest.rst
@@ -0,0 +1,6 @@
+cudf.Series.nlargest
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.nlargest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.notna.rst b/docs/cudf/source/api_docs/api/cudf.Series.notna.rst
new file mode 100644
index 00000000000..ebe5a1a662e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.notna.rst
@@ -0,0 +1,6 @@
+cudf.Series.notna
+=================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.notna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.notnull.rst b/docs/cudf/source/api_docs/api/cudf.Series.notnull.rst
new file mode 100644
index 00000000000..8f605dac836
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.notnull.rst
@@ -0,0 +1,6 @@
+cudf.Series.notnull
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.notnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.nsmallest.rst b/docs/cudf/source/api_docs/api/cudf.Series.nsmallest.rst
new file mode 100644
index 00000000000..285b06d8198
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.nsmallest.rst
@@ -0,0 +1,6 @@
+cudf.Series.nsmallest
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.nsmallest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.nunique.rst b/docs/cudf/source/api_docs/api/cudf.Series.nunique.rst
new file mode 100644
index 00000000000..a64bc64217c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.nunique.rst
@@ -0,0 +1,6 @@
+cudf.Series.nunique
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.nunique
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.pipe.rst b/docs/cudf/source/api_docs/api/cudf.Series.pipe.rst
new file mode 100644
index 00000000000..6717547b6af
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.pipe.rst
@@ -0,0 +1,6 @@
+cudf.Series.pipe
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.pipe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.pow.rst b/docs/cudf/source/api_docs/api/cudf.Series.pow.rst
new file mode 100644
index 00000000000..34ed150fa82
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.pow.rst
@@ -0,0 +1,6 @@
+cudf.Series.pow
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.pow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.prod.rst b/docs/cudf/source/api_docs/api/cudf.Series.prod.rst
new file mode 100644
index 00000000000..28b2ac3fb66
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.prod.rst
@@ -0,0 +1,6 @@
+cudf.Series.prod
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.prod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.product.rst b/docs/cudf/source/api_docs/api/cudf.Series.product.rst
new file mode 100644
index 00000000000..0baf88de478
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.product.rst
@@ -0,0 +1,6 @@
+cudf.Series.product
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.product
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.quantile.rst b/docs/cudf/source/api_docs/api/cudf.Series.quantile.rst
new file mode 100644
index 00000000000..80789c444a5
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.quantile.rst
@@ -0,0 +1,6 @@
+cudf.Series.quantile
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.quantile
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.radd.rst b/docs/cudf/source/api_docs/api/cudf.Series.radd.rst
new file mode 100644
index 00000000000..f385b30c142
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.radd.rst
@@ -0,0 +1,6 @@
+cudf.Series.radd
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.radd
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rank.rst b/docs/cudf/source/api_docs/api/cudf.Series.rank.rst
new file mode 100644
index 00000000000..a05f68f6b85
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.rank.rst
@@ -0,0 +1,6 @@
+cudf.Series.rank
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.rank
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.reindex.rst b/docs/cudf/source/api_docs/api/cudf.Series.reindex.rst
new file mode 100644
index 00000000000..73b37437d88
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.reindex.rst
@@ -0,0 +1,6 @@
+cudf.Series.reindex
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.reindex
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rename.rst b/docs/cudf/source/api_docs/api/cudf.Series.rename.rst
new file mode 100644
index 00000000000..3da4b45cdd5
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.rename.rst
@@ -0,0 +1,6 @@
+cudf.Series.rename
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.rename
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.repeat.rst b/docs/cudf/source/api_docs/api/cudf.Series.repeat.rst
new file mode 100644
index 00000000000..c40030f685c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.repeat.rst
@@ -0,0 +1,6 @@
+cudf.Series.repeat
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.repeat
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.replace.rst b/docs/cudf/source/api_docs/api/cudf.Series.replace.rst
new file mode 100644
index 00000000000..e8f646d12ab
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.replace.rst
@@ -0,0 +1,6 @@
+cudf.Series.replace
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.replace
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.reset_index.rst b/docs/cudf/source/api_docs/api/cudf.Series.reset_index.rst
new file mode 100644
index 00000000000..170eb499ad1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.reset_index.rst
@@ -0,0 +1,6 @@
+cudf.Series.reset\_index
+========================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.reset_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rfloordiv.rst b/docs/cudf/source/api_docs/api/cudf.Series.rfloordiv.rst
new file mode 100644
index 00000000000..6e3cadbe616
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.rfloordiv.rst
@@ -0,0 +1,6 @@
+cudf.Series.rfloordiv
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.rfloordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rmod.rst b/docs/cudf/source/api_docs/api/cudf.Series.rmod.rst
new file mode 100644
index 00000000000..eec1bfb9211
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.rmod.rst
@@ -0,0 +1,6 @@
+cudf.Series.rmod
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.rmod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rmul.rst b/docs/cudf/source/api_docs/api/cudf.Series.rmul.rst
new file mode 100644
index 00000000000..bc96e5fb616
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.rmul.rst
@@ -0,0 +1,6 @@
+cudf.Series.rmul
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.rmul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rolling.rst b/docs/cudf/source/api_docs/api/cudf.Series.rolling.rst
new file mode 100644
index 00000000000..2c796281881
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.rolling.rst
@@ -0,0 +1,6 @@
+cudf.Series.rolling
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.rolling
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.round.rst b/docs/cudf/source/api_docs/api/cudf.Series.round.rst
new file mode 100644
index 00000000000..96a7bbc50d3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.round.rst
@@ -0,0 +1,6 @@
+cudf.Series.round
+=================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.round
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rpow.rst b/docs/cudf/source/api_docs/api/cudf.Series.rpow.rst
new file mode 100644
index 00000000000..13a6ea51009
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.rpow.rst
@@ -0,0 +1,6 @@
+cudf.Series.rpow
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.rpow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rst b/docs/cudf/source/api_docs/api/cudf.Series.rst
new file mode 100644
index 00000000000..9c6679c1c64
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.rst
@@ -0,0 +1,205 @@
+cudf.Series
+===========
+
+.. currentmodule:: cudf
+
+.. autoclass:: Series
+
+   
+   .. automethod:: __init__
+
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Series.__init__
+      ~Series.abs
+      ~Series.acos
+      ~Series.add
+      ~Series.all
+      ~Series.any
+      ~Series.append
+      ~Series.applymap
+      ~Series.argsort
+      ~Series.as_index
+      ~Series.as_mask
+      ~Series.asin
+      ~Series.astype
+      ~Series.atan
+      ~Series.ceil
+      ~Series.clip
+      ~Series.copy
+      ~Series.corr
+      ~Series.cos
+      ~Series.count
+      ~Series.cov
+      ~Series.cummax
+      ~Series.cummin
+      ~Series.cumprod
+      ~Series.cumsum
+      ~Series.describe
+      ~Series.deserialize
+      ~Series.device_deserialize
+      ~Series.device_serialize
+      ~Series.diff
+      ~Series.digitize
+      ~Series.drop
+      ~Series.drop_duplicates
+      ~Series.dropna
+      ~Series.eq
+      ~Series.equals
+      ~Series.exp
+      ~Series.explode
+      ~Series.factorize
+      ~Series.fill
+      ~Series.fillna
+      ~Series.floor
+      ~Series.floordiv
+      ~Series.from_arrow
+      ~Series.from_categorical
+      ~Series.from_masked_array
+      ~Series.from_pandas
+      ~Series.ge
+      ~Series.groupby
+      ~Series.gt
+      ~Series.hash_encode
+      ~Series.hash_values
+      ~Series.head
+      ~Series.host_deserialize
+      ~Series.host_serialize
+      ~Series.interleave_columns
+      ~Series.isin
+      ~Series.isna
+      ~Series.isnull
+      ~Series.items
+      ~Series.iteritems
+      ~Series.keys
+      ~Series.kurt
+      ~Series.kurtosis
+      ~Series.label_encoding
+      ~Series.le
+      ~Series.log
+      ~Series.logical_and
+      ~Series.logical_not
+      ~Series.logical_or
+      ~Series.lt
+      ~Series.map
+      ~Series.mask
+      ~Series.max
+      ~Series.mean
+      ~Series.median
+      ~Series.memory_usage
+      ~Series.merge
+      ~Series.min
+      ~Series.mod
+      ~Series.mode
+      ~Series.mul
+      ~Series.multiply
+      ~Series.nans_to_nulls
+      ~Series.ne
+      ~Series.nlargest
+      ~Series.notna
+      ~Series.notnull
+      ~Series.nsmallest
+      ~Series.nunique
+      ~Series.one_hot_encoding
+      ~Series.pipe
+      ~Series.pow
+      ~Series.prod
+      ~Series.product
+      ~Series.quantile
+      ~Series.radd
+      ~Series.rank
+      ~Series.reindex
+      ~Series.remainder
+      ~Series.rename
+      ~Series.repeat
+      ~Series.replace
+      ~Series.reset_index
+      ~Series.reverse
+      ~Series.rfloordiv
+      ~Series.rmod
+      ~Series.rmul
+      ~Series.rolling
+      ~Series.round
+      ~Series.rpow
+      ~Series.rsub
+      ~Series.rtruediv
+      ~Series.sample
+      ~Series.scale
+      ~Series.scatter_by_map
+      ~Series.searchsorted
+      ~Series.serialize
+      ~Series.set_index
+      ~Series.set_mask
+      ~Series.shift
+      ~Series.sin
+      ~Series.skew
+      ~Series.sort_index
+      ~Series.sort_values
+      ~Series.sqrt
+      ~Series.std
+      ~Series.sub
+      ~Series.subtract
+      ~Series.sum
+      ~Series.sum_of_squares
+      ~Series.tail
+      ~Series.take
+      ~Series.tan
+      ~Series.tile
+      ~Series.to_array
+      ~Series.to_arrow
+      ~Series.to_dict
+      ~Series.to_dlpack
+      ~Series.to_frame
+      ~Series.to_gpu_array
+      ~Series.to_hdf
+      ~Series.to_json
+      ~Series.to_list
+      ~Series.to_pandas
+      ~Series.to_string
+      ~Series.tolist
+      ~Series.truediv
+      ~Series.unique
+      ~Series.update
+      ~Series.value_counts
+      ~Series.var
+      ~Series.where
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Series.cat
+      ~Series.data
+      ~Series.dt
+      ~Series.dtype
+      ~Series.empty
+      ~Series.has_nulls
+      ~Series.iloc
+      ~Series.index
+      ~Series.is_monotonic
+      ~Series.is_monotonic_decreasing
+      ~Series.is_monotonic_increasing
+      ~Series.is_unique
+      ~Series.list
+      ~Series.loc
+      ~Series.name
+      ~Series.ndim
+      ~Series.null_count
+      ~Series.nullable
+      ~Series.nullmask
+      ~Series.shape
+      ~Series.size
+      ~Series.str
+      ~Series.struct
+      ~Series.valid_count
+      ~Series.values
+      ~Series.values_host
+   
+   
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rsub.rst b/docs/cudf/source/api_docs/api/cudf.Series.rsub.rst
new file mode 100644
index 00000000000..43c54ad1f72
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.rsub.rst
@@ -0,0 +1,6 @@
+cudf.Series.rsub
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.rsub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rtruediv.rst b/docs/cudf/source/api_docs/api/cudf.Series.rtruediv.rst
new file mode 100644
index 00000000000..a5d45a08b31
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.rtruediv.rst
@@ -0,0 +1,6 @@
+cudf.Series.rtruediv
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.rtruediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.sample.rst b/docs/cudf/source/api_docs/api/cudf.Series.sample.rst
new file mode 100644
index 00000000000..bc9ed939c94
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.sample.rst
@@ -0,0 +1,6 @@
+cudf.Series.sample
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.sample
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.searchsorted.rst b/docs/cudf/source/api_docs/api/cudf.Series.searchsorted.rst
new file mode 100644
index 00000000000..1673672a139
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.searchsorted.rst
@@ -0,0 +1,6 @@
+cudf.Series.searchsorted
+========================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.searchsorted
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.shape.rst b/docs/cudf/source/api_docs/api/cudf.Series.shape.rst
new file mode 100644
index 00000000000..fd9b9c78df8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.shape.rst
@@ -0,0 +1,6 @@
+cudf.Series.shape
+=================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.shape
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.shift.rst b/docs/cudf/source/api_docs/api/cudf.Series.shift.rst
new file mode 100644
index 00000000000..86cafcf8771
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.shift.rst
@@ -0,0 +1,6 @@
+cudf.Series.shift
+=================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.shift
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.size.rst b/docs/cudf/source/api_docs/api/cudf.Series.size.rst
new file mode 100644
index 00000000000..a4863b2b6f3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.size.rst
@@ -0,0 +1,6 @@
+cudf.Series.size
+================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.size
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.skew.rst b/docs/cudf/source/api_docs/api/cudf.Series.skew.rst
new file mode 100644
index 00000000000..30f7b7e1811
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.skew.rst
@@ -0,0 +1,6 @@
+cudf.Series.skew
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.skew
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.sort_index.rst b/docs/cudf/source/api_docs/api/cudf.Series.sort_index.rst
new file mode 100644
index 00000000000..6dcc4b8b12f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.sort_index.rst
@@ -0,0 +1,6 @@
+cudf.Series.sort\_index
+=======================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.sort_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.sort_values.rst b/docs/cudf/source/api_docs/api/cudf.Series.sort_values.rst
new file mode 100644
index 00000000000..dbb4c8e926c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.sort_values.rst
@@ -0,0 +1,6 @@
+cudf.Series.sort\_values
+========================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.sort_values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.std.rst b/docs/cudf/source/api_docs/api/cudf.Series.std.rst
new file mode 100644
index 00000000000..556479b4a78
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.std.rst
@@ -0,0 +1,6 @@
+cudf.Series.std
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.std
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.str.rst b/docs/cudf/source/api_docs/api/cudf.Series.str.rst
new file mode 100644
index 00000000000..7f7d3ac65bf
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.str.rst
@@ -0,0 +1,6 @@
+cudf.Series.str
+===============
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.str
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.sub.rst b/docs/cudf/source/api_docs/api/cudf.Series.sub.rst
new file mode 100644
index 00000000000..940bc172ab0
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.sub.rst
@@ -0,0 +1,6 @@
+cudf.Series.sub
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.sub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.sum.rst b/docs/cudf/source/api_docs/api/cudf.Series.sum.rst
new file mode 100644
index 00000000000..2a909e6002b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.sum.rst
@@ -0,0 +1,6 @@
+cudf.Series.sum
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.sum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.tail.rst b/docs/cudf/source/api_docs/api/cudf.Series.tail.rst
new file mode 100644
index 00000000000..cf2c7855691
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.tail.rst
@@ -0,0 +1,6 @@
+cudf.Series.tail
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.tail
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.take.rst b/docs/cudf/source/api_docs/api/cudf.Series.take.rst
new file mode 100644
index 00000000000..cf871af11d6
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.take.rst
@@ -0,0 +1,6 @@
+cudf.Series.take
+================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.take
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_dict.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_dict.rst
new file mode 100644
index 00000000000..245dea46d58
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.to_dict.rst
@@ -0,0 +1,6 @@
+cudf.Series.to\_dict
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.to_dict
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_frame.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_frame.rst
new file mode 100644
index 00000000000..18abeaae928
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.to_frame.rst
@@ -0,0 +1,6 @@
+cudf.Series.to\_frame
+=====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.to_frame
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_hdf.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_hdf.rst
new file mode 100644
index 00000000000..5c8b5c3ae68
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.to_hdf.rst
@@ -0,0 +1,6 @@
+cudf.Series.to\_hdf
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.to_hdf
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_json.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_json.rst
new file mode 100644
index 00000000000..f36b90e64a8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.to_json.rst
@@ -0,0 +1,6 @@
+cudf.Series.to\_json
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.to_json
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_list.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_list.rst
new file mode 100644
index 00000000000..0b7eda982cb
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.to_list.rst
@@ -0,0 +1,6 @@
+cudf.Series.to\_list
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.to_list
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_string.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_string.rst
new file mode 100644
index 00000000000..a1d8e49c5d3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.to_string.rst
@@ -0,0 +1,6 @@
+cudf.Series.to\_string
+======================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.to_string
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.truediv.rst b/docs/cudf/source/api_docs/api/cudf.Series.truediv.rst
new file mode 100644
index 00000000000..07dd45c5a56
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.truediv.rst
@@ -0,0 +1,6 @@
+cudf.Series.truediv
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.truediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.unique.rst b/docs/cudf/source/api_docs/api/cudf.Series.unique.rst
new file mode 100644
index 00000000000..a9873809e1b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.unique.rst
@@ -0,0 +1,6 @@
+cudf.Series.unique
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.unique
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.update.rst b/docs/cudf/source/api_docs/api/cudf.Series.update.rst
new file mode 100644
index 00000000000..1f7c7e10fb1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.update.rst
@@ -0,0 +1,6 @@
+cudf.Series.update
+==================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.update
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.value_counts.rst b/docs/cudf/source/api_docs/api/cudf.Series.value_counts.rst
new file mode 100644
index 00000000000..e29d499a297
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.value_counts.rst
@@ -0,0 +1,6 @@
+cudf.Series.value\_counts
+=========================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.value_counts
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.values.rst b/docs/cudf/source/api_docs/api/cudf.Series.values.rst
new file mode 100644
index 00000000000..e91eaebdb47
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.values.rst
@@ -0,0 +1,6 @@
+cudf.Series.values
+==================
+
+.. currentmodule:: cudf
+
+.. autoproperty:: Series.values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.var.rst b/docs/cudf/source/api_docs/api/cudf.Series.var.rst
new file mode 100644
index 00000000000..cfa470f6711
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.var.rst
@@ -0,0 +1,6 @@
+cudf.Series.var
+===============
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.var
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.where.rst b/docs/cudf/source/api_docs/api/cudf.Series.where.rst
new file mode 100644
index 00000000000..c6b53babf11
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/cudf.Series.where.rst
@@ -0,0 +1,6 @@
+cudf.Series.where
+=================
+
+.. currentmodule:: cudf
+
+.. automethod:: Series.where
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.T.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.T.rst
new file mode 100644
index 00000000000..03537765d1c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.T.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.T
+==================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.T
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.__iter__.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.__iter__.rst
new file mode 100644
index 00000000000..b87f2f1cbf8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.__iter__.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.\_\_iter\_\_
+=============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.__iter__
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.abs.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.abs.rst
new file mode 100644
index 00000000000..436ab756650
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.abs.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.abs
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.abs
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.add.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.add.rst
new file mode 100644
index 00000000000..3548062e08f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.add.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.add
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.add
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.add_prefix.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.add_prefix.rst
new file mode 100644
index 00000000000..adfcb156943
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.add_prefix.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.add\_prefix
+============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.add_prefix
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.add_suffix.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.add_suffix.rst
new file mode 100644
index 00000000000..7e5d1dc754c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.add_suffix.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.add\_suffix
+============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.add_suffix
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.agg.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.agg.rst
new file mode 100644
index 00000000000..d70669c611e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.agg.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.agg
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.agg
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.aggregate.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.aggregate.rst
new file mode 100644
index 00000000000..7ce8d54b9bb
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.aggregate.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.aggregate
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.aggregate
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.align.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.align.rst
new file mode 100644
index 00000000000..51127fcca22
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.align.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.align
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.align
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.all.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.all.rst
new file mode 100644
index 00000000000..5f5e0dcba4b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.all.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.all
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.all
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.any.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.any.rst
new file mode 100644
index 00000000000..a52b7b3c6d4
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.any.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.any
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.any
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.append.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.append.rst
new file mode 100644
index 00000000000..da28b001828
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.append.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.append
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.append
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.apply.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.apply.rst
new file mode 100644
index 00000000000..ba56bcdc088
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.apply.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.apply
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.apply
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.applymap.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.applymap.rst
new file mode 100644
index 00000000000..bfeacbb8283
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.applymap.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.applymap
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.applymap
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.asfreq.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.asfreq.rst
new file mode 100644
index 00000000000..249c5e0e355
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.asfreq.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.asfreq
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.asfreq
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.asof.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.asof.rst
new file mode 100644
index 00000000000..34085e65158
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.asof.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.asof
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.asof
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.assign.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.assign.rst
new file mode 100644
index 00000000000..15fd1e4eb90
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.assign.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.assign
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.assign
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.astype.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.astype.rst
new file mode 100644
index 00000000000..50bf5e4bc57
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.astype.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.astype
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.astype
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.at.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.at.rst
new file mode 100644
index 00000000000..43a5f859ce3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.at.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.at
+===================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.at
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.at_time.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.at_time.rst
new file mode 100644
index 00000000000..79bd0721f36
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.at_time.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.at\_time
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.at_time
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.attrs.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.attrs.rst
new file mode 100644
index 00000000000..09b0c927efa
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.attrs.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.attrs
+======================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.attrs
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.axes.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.axes.rst
new file mode 100644
index 00000000000..c0b8cfe30fb
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.axes.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.axes
+=====================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.axes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.backfill.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.backfill.rst
new file mode 100644
index 00000000000..4414f0dc17d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.backfill.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.backfill
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.backfill
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.between_time.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.between_time.rst
new file mode 100644
index 00000000000..9e44bb4e821
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.between_time.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.between\_time
+==============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.between_time
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.bfill.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.bfill.rst
new file mode 100644
index 00000000000..92a7ab5904c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.bfill.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.bfill
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.bfill
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.bool.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.bool.rst
new file mode 100644
index 00000000000..48ec48da1ff
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.bool.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.bool
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.bool
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.boxplot.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.boxplot.rst
new file mode 100644
index 00000000000..e272a254269
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.boxplot.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.boxplot
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.boxplot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.clip.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.clip.rst
new file mode 100644
index 00000000000..101a72aec5c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.clip.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.clip
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.clip
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.columns.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.columns.rst
new file mode 100644
index 00000000000..eba6ca9e945
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.columns.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.columns
+========================
+
+.. currentmodule:: pandas
+
+.. autoattribute:: DataFrame.columns
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.combine.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.combine.rst
new file mode 100644
index 00000000000..fa084fa9d85
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.combine.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.combine
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.combine
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.combine_first.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.combine_first.rst
new file mode 100644
index 00000000000..ae749204c36
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.combine_first.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.combine\_first
+===============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.combine_first
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.compare.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.compare.rst
new file mode 100644
index 00000000000..539a491c4b6
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.compare.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.compare
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.compare
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.convert_dtypes.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.convert_dtypes.rst
new file mode 100644
index 00000000000..e740f012f15
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.convert_dtypes.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.convert\_dtypes
+================================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.convert_dtypes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.copy.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.copy.rst
new file mode 100644
index 00000000000..19857b90b06
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.copy.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.copy
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.copy
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.corr.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.corr.rst
new file mode 100644
index 00000000000..9893057e033
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.corr.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.corr
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.corr
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.corrwith.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.corrwith.rst
new file mode 100644
index 00000000000..07b8b81c734
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.corrwith.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.corrwith
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.corrwith
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.count.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.count.rst
new file mode 100644
index 00000000000..77a3c7309e3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.count.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.count
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.count
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.cov.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.cov.rst
new file mode 100644
index 00000000000..5501bec774d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.cov.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.cov
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.cov
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.cummax.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.cummax.rst
new file mode 100644
index 00000000000..84389d5516c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.cummax.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.cummax
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.cummax
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.cummin.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.cummin.rst
new file mode 100644
index 00000000000..7e4cc6cffcb
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.cummin.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.cummin
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.cummin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.cumprod.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.cumprod.rst
new file mode 100644
index 00000000000..efd1eaaaeab
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.cumprod.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.cumprod
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.cumprod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.cumsum.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.cumsum.rst
new file mode 100644
index 00000000000..54fd81bc4ba
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.cumsum.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.cumsum
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.cumsum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.describe.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.describe.rst
new file mode 100644
index 00000000000..bf54abc99ce
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.describe.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.describe
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.describe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.diff.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.diff.rst
new file mode 100644
index 00000000000..f5cfbea3f3a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.diff.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.diff
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.diff
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.div.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.div.rst
new file mode 100644
index 00000000000..49926f9f384
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.div.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.div
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.div
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.dot.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.dot.rst
new file mode 100644
index 00000000000..0f5ec373abb
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.dot.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.dot
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.dot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.drop.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.drop.rst
new file mode 100644
index 00000000000..9ee305369db
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.drop.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.drop
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.drop_duplicates.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.drop_duplicates.rst
new file mode 100644
index 00000000000..9a72f602cf5
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.drop_duplicates.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.drop\_duplicates
+=================================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.drop_duplicates
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.droplevel.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.droplevel.rst
new file mode 100644
index 00000000000..fe3e4ed7dbd
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.droplevel.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.droplevel
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.droplevel
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.dropna.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.dropna.rst
new file mode 100644
index 00000000000..bf67d663c2a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.dropna.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.dropna
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.dropna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.dtypes.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.dtypes.rst
new file mode 100644
index 00000000000..f7bc0086449
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.dtypes.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.dtypes
+=======================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.dtypes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.duplicated.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.duplicated.rst
new file mode 100644
index 00000000000..dc0ce02d412
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.duplicated.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.duplicated
+===========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.duplicated
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.empty.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.empty.rst
new file mode 100644
index 00000000000..1566f4b84cd
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.empty.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.empty
+======================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.empty
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.eq.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.eq.rst
new file mode 100644
index 00000000000..ab3e0e53934
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.eq.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.eq
+===================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.eq
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.equals.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.equals.rst
new file mode 100644
index 00000000000..06e9ef4b620
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.equals.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.equals
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.equals
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.eval.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.eval.rst
new file mode 100644
index 00000000000..794afecf147
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.eval.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.eval
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.eval
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.ewm.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.ewm.rst
new file mode 100644
index 00000000000..095c7bffe3f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.ewm.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.ewm
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.ewm
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.expanding.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.expanding.rst
new file mode 100644
index 00000000000..09f9280c148
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.expanding.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.expanding
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.expanding
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.explode.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.explode.rst
new file mode 100644
index 00000000000..b593a3df556
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.explode.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.explode
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.explode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.ffill.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.ffill.rst
new file mode 100644
index 00000000000..e690dbf8f3a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.ffill.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.ffill
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.ffill
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.fillna.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.fillna.rst
new file mode 100644
index 00000000000..2aab63b418d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.fillna.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.fillna
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.fillna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.filter.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.filter.rst
new file mode 100644
index 00000000000..fb7bdfc146d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.filter.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.filter
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.filter
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.first.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.first.rst
new file mode 100644
index 00000000000..86af8ed6384
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.first.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.first
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.first
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.first_valid_index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.first_valid_index.rst
new file mode 100644
index 00000000000..aa02ea01184
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.first_valid_index.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.first\_valid\_index
+====================================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.first_valid_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.floordiv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.floordiv.rst
new file mode 100644
index 00000000000..84593cbb661
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.floordiv.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.floordiv
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.floordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.from_dict.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.from_dict.rst
new file mode 100644
index 00000000000..185c2101293
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.from_dict.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.from\_dict
+===========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.from_dict
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.from_records.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.from_records.rst
new file mode 100644
index 00000000000..d9e1b1b2f97
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.from_records.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.from\_records
+==============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.from_records
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.ge.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.ge.rst
new file mode 100644
index 00000000000..07ca9a1ea38
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.ge.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.ge
+===================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.ge
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.get.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.get.rst
new file mode 100644
index 00000000000..8666f9cf49a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.get.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.get
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.get
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.groupby.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.groupby.rst
new file mode 100644
index 00000000000..f8872657308
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.groupby.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.groupby
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.gt.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.gt.rst
new file mode 100644
index 00000000000..769a5b529ba
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.gt.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.gt
+===================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.gt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.head.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.head.rst
new file mode 100644
index 00000000000..91b80799a37
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.head.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.head
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.head
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.hist.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.hist.rst
new file mode 100644
index 00000000000..d00f2ed8d21
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.hist.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.hist
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.hist
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.iat.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.iat.rst
new file mode 100644
index 00000000000..f5e7d2e5bb8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.iat.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.iat
+====================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.iat
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmax.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmax.rst
new file mode 100644
index 00000000000..7d04f17f603
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmax.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.idxmax
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.idxmax
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmin.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmin.rst
new file mode 100644
index 00000000000..20148233718
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmin.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.idxmin
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.idxmin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.iloc.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.iloc.rst
new file mode 100644
index 00000000000..a037a5a4438
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.iloc.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.iloc
+=====================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.iloc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.index.rst
new file mode 100644
index 00000000000..f2b9ccb4ea0
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.index.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.index
+======================
+
+.. currentmodule:: pandas
+
+.. autoattribute:: DataFrame.index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.infer_objects.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.infer_objects.rst
new file mode 100644
index 00000000000..f5334ce6241
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.infer_objects.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.infer\_objects
+===============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.infer_objects
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.info.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.info.rst
new file mode 100644
index 00000000000..ef02ad30511
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.info.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.info
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.info
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.insert.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.insert.rst
new file mode 100644
index 00000000000..e13c5a3082a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.insert.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.insert
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.insert
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.interpolate.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.interpolate.rst
new file mode 100644
index 00000000000..82a9026f7a5
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.interpolate.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.interpolate
+============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.interpolate
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.isin.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.isin.rst
new file mode 100644
index 00000000000..ecead879b6b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.isin.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.isin
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.isin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.isna.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.isna.rst
new file mode 100644
index 00000000000..aaa1c1ba409
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.isna.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.isna
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.isna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.isnull.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.isnull.rst
new file mode 100644
index 00000000000..ed218ac4e22
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.isnull.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.isnull
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.isnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.items.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.items.rst
new file mode 100644
index 00000000000..b9bfe33b49f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.items.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.items
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.items
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.iteritems.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.iteritems.rst
new file mode 100644
index 00000000000..b1a5ac0e545
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.iteritems.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.iteritems
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.iteritems
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.iterrows.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.iterrows.rst
new file mode 100644
index 00000000000..9d19d6b23b1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.iterrows.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.iterrows
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.iterrows
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.itertuples.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.itertuples.rst
new file mode 100644
index 00000000000..50d8e68f52d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.itertuples.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.itertuples
+===========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.itertuples
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.join.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.join.rst
new file mode 100644
index 00000000000..88574103604
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.join.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.join
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.join
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.keys.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.keys.rst
new file mode 100644
index 00000000000..c601a2aa022
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.keys.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.keys
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.keys
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.kurt.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.kurt.rst
new file mode 100644
index 00000000000..b2d2e2bfb0f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.kurt.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.kurt
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.kurt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.kurtosis.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.kurtosis.rst
new file mode 100644
index 00000000000..a518bc3bbaf
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.kurtosis.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.kurtosis
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.kurtosis
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.last.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.last.rst
new file mode 100644
index 00000000000..c80c1c244e1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.last.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.last
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.last
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.last_valid_index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.last_valid_index.rst
new file mode 100644
index 00000000000..d0da1d0ae4b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.last_valid_index.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.last\_valid\_index
+===================================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.last_valid_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.le.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.le.rst
new file mode 100644
index 00000000000..4e547b7177d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.le.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.le
+===================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.le
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.loc.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.loc.rst
new file mode 100644
index 00000000000..eea417e8b56
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.loc.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.loc
+====================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.loc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.lookup.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.lookup.rst
new file mode 100644
index 00000000000..53da973a34d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.lookup.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.lookup
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.lookup
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.lt.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.lt.rst
new file mode 100644
index 00000000000..0c30b0baab2
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.lt.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.lt
+===================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.lt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mad.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mad.rst
new file mode 100644
index 00000000000..a3b565902cd
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.mad.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.mad
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.mad
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mask.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mask.rst
new file mode 100644
index 00000000000..72b4a198d3d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.mask.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.mask
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.mask
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.max.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.max.rst
new file mode 100644
index 00000000000..ab5107fb32e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.max.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.max
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.max
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mean.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mean.rst
new file mode 100644
index 00000000000..77e6d62e561
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.mean.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.mean
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.mean
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.median.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.median.rst
new file mode 100644
index 00000000000..dd54dccc800
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.median.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.median
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.median
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.melt.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.melt.rst
new file mode 100644
index 00000000000..b077b2f7a41
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.melt.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.melt
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.melt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.memory_usage.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.memory_usage.rst
new file mode 100644
index 00000000000..12990f20a9e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.memory_usage.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.memory\_usage
+==============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.memory_usage
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.merge.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.merge.rst
new file mode 100644
index 00000000000..9fbf5eb23dc
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.merge.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.merge
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.merge
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.min.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.min.rst
new file mode 100644
index 00000000000..62731caab58
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.min.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.min
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.min
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mod.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mod.rst
new file mode 100644
index 00000000000..b9039a225b2
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.mod.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.mod
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.mod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mode.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mode.rst
new file mode 100644
index 00000000000..55e17e0f16a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.mode.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.mode
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.mode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mul.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mul.rst
new file mode 100644
index 00000000000..31851345095
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.mul.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.mul
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.mul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.ndim.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.ndim.rst
new file mode 100644
index 00000000000..adf6339d924
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.ndim.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.ndim
+=====================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.ndim
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.ne.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.ne.rst
new file mode 100644
index 00000000000..b557dfc2d3f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.ne.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.ne
+===================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.ne
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.nlargest.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.nlargest.rst
new file mode 100644
index 00000000000..4e9b95daada
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.nlargest.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.nlargest
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.nlargest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.notna.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.notna.rst
new file mode 100644
index 00000000000..5941cd5255a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.notna.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.notna
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.notna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.notnull.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.notnull.rst
new file mode 100644
index 00000000000..4408bbb8b7f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.notnull.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.notnull
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.notnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.nsmallest.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.nsmallest.rst
new file mode 100644
index 00000000000..eb87234da0f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.nsmallest.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.nsmallest
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.nsmallest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.nunique.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.nunique.rst
new file mode 100644
index 00000000000..750bff9fce8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.nunique.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.nunique
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.nunique
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pad.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pad.rst
new file mode 100644
index 00000000000..c7c4d9567ef
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.pad.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.pad
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.pad
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pct_change.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pct_change.rst
new file mode 100644
index 00000000000..06cc2da2528
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.pct_change.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.pct\_change
+============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.pct_change
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pipe.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pipe.rst
new file mode 100644
index 00000000000..12616a61023
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.pipe.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.pipe
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.pipe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot.rst
new file mode 100644
index 00000000000..6c2e8026b50
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.pivot
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.pivot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot_table.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot_table.rst
new file mode 100644
index 00000000000..53d57f5ae61
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot_table.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.pivot\_table
+=============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.pivot_table
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.area.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.area.rst
new file mode 100644
index 00000000000..faef939bf62
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.area.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.area
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.area
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.bar.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.bar.rst
new file mode 100644
index 00000000000..7b57b919113
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.bar.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.bar
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.bar
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.barh.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.barh.rst
new file mode 100644
index 00000000000..71756bd592a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.barh.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.barh
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.barh
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.box.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.box.rst
new file mode 100644
index 00000000000..795fd22a58d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.box.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.box
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.box
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.density.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.density.rst
new file mode 100644
index 00000000000..16cf2f91f15
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.density.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.density
+=============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.density
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hexbin.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hexbin.rst
new file mode 100644
index 00000000000..230b2b2b20c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hexbin.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.hexbin
+============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.hexbin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hist.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hist.rst
new file mode 100644
index 00000000000..b7ff6dc00b3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hist.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.hist
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.hist
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.kde.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.kde.rst
new file mode 100644
index 00000000000..73243f4ec15
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.kde.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.kde
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.kde
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.line.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.line.rst
new file mode 100644
index 00000000000..3e715257702
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.line.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.line
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.line
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.pie.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.pie.rst
new file mode 100644
index 00000000000..375d3bc5038
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.pie.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.pie
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.pie
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.rst
new file mode 100644
index 00000000000..b060aa155e2
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot
+=====================
+
+.. currentmodule:: pandas
+
+.. autoclass:: DataFrame.plot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.scatter.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.scatter.rst
new file mode 100644
index 00000000000..d2b659f882e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.scatter.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.plot.scatter
+=============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.plot.scatter
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pop.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pop.rst
new file mode 100644
index 00000000000..bd5df617265
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.pop.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.pop
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.pop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pow.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pow.rst
new file mode 100644
index 00000000000..18dc68c9bb7
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.pow.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.pow
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.pow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.prod.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.prod.rst
new file mode 100644
index 00000000000..346340a68cd
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.prod.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.prod
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.prod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.product.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.product.rst
new file mode 100644
index 00000000000..c48ccf21ae1
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.product.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.product
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.product
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.quantile.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.quantile.rst
new file mode 100644
index 00000000000..8f7e988fe3b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.quantile.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.quantile
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.quantile
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.query.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.query.rst
new file mode 100644
index 00000000000..f8a331db7a8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.query.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.query
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.query
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.radd.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.radd.rst
new file mode 100644
index 00000000000..1a85dd2e3ed
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.radd.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.radd
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.radd
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rank.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rank.rst
new file mode 100644
index 00000000000..a198a038f71
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rank.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rank
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rank
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rdiv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rdiv.rst
new file mode 100644
index 00000000000..671ddb32aca
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rdiv.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rdiv
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rdiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex.rst
new file mode 100644
index 00000000000..ae15567120f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.reindex
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.reindex
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex_like.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex_like.rst
new file mode 100644
index 00000000000..d9d6bb53be5
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex_like.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.reindex\_like
+==============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.reindex_like
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rename.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rename.rst
new file mode 100644
index 00000000000..0a65a29716d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rename.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rename
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rename
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rename_axis.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rename_axis.rst
new file mode 100644
index 00000000000..6b9233c81d0
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rename_axis.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rename\_axis
+=============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rename_axis
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.reorder_levels.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.reorder_levels.rst
new file mode 100644
index 00000000000..c155ad00fa7
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.reorder_levels.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.reorder\_levels
+================================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.reorder_levels
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.replace.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.replace.rst
new file mode 100644
index 00000000000..b12b5db8a7b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.replace.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.replace
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.replace
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.resample.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.resample.rst
new file mode 100644
index 00000000000..f5b46207d40
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.resample.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.resample
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.resample
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.reset_index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.reset_index.rst
new file mode 100644
index 00000000000..188ed794c31
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.reset_index.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.reset\_index
+=============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.reset_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rfloordiv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rfloordiv.rst
new file mode 100644
index 00000000000..e222bbedde4
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rfloordiv.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rfloordiv
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rfloordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rmod.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rmod.rst
new file mode 100644
index 00000000000..6862ed7f2af
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rmod.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rmod
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rmod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rmul.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rmul.rst
new file mode 100644
index 00000000000..6082fe44a35
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rmul.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rmul
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rmul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rolling.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rolling.rst
new file mode 100644
index 00000000000..697e8ff7193
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rolling.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rolling
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rolling
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.round.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.round.rst
new file mode 100644
index 00000000000..44a176d3566
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.round.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.round
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.round
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rpow.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rpow.rst
new file mode 100644
index 00000000000..c0ea60d674e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rpow.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rpow
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rpow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rst
new file mode 100644
index 00000000000..d1f409dc9cb
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rst
@@ -0,0 +1,236 @@
+pandas.DataFrame
+================
+
+.. currentmodule:: pandas
+
+.. autoclass:: DataFrame
+
+   
+   .. automethod:: __init__
+
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DataFrame.__init__
+      ~DataFrame.abs
+      ~DataFrame.add
+      ~DataFrame.add_prefix
+      ~DataFrame.add_suffix
+      ~DataFrame.agg
+      ~DataFrame.aggregate
+      ~DataFrame.align
+      ~DataFrame.all
+      ~DataFrame.any
+      ~DataFrame.append
+      ~DataFrame.apply
+      ~DataFrame.applymap
+      ~DataFrame.asfreq
+      ~DataFrame.asof
+      ~DataFrame.assign
+      ~DataFrame.astype
+      ~DataFrame.at_time
+      ~DataFrame.backfill
+      ~DataFrame.between_time
+      ~DataFrame.bfill
+      ~DataFrame.bool
+      ~DataFrame.boxplot
+      ~DataFrame.clip
+      ~DataFrame.combine
+      ~DataFrame.combine_first
+      ~DataFrame.compare
+      ~DataFrame.convert_dtypes
+      ~DataFrame.copy
+      ~DataFrame.corr
+      ~DataFrame.corrwith
+      ~DataFrame.count
+      ~DataFrame.cov
+      ~DataFrame.cummax
+      ~DataFrame.cummin
+      ~DataFrame.cumprod
+      ~DataFrame.cumsum
+      ~DataFrame.describe
+      ~DataFrame.diff
+      ~DataFrame.div
+      ~DataFrame.divide
+      ~DataFrame.dot
+      ~DataFrame.drop
+      ~DataFrame.drop_duplicates
+      ~DataFrame.droplevel
+      ~DataFrame.dropna
+      ~DataFrame.duplicated
+      ~DataFrame.eq
+      ~DataFrame.equals
+      ~DataFrame.eval
+      ~DataFrame.ewm
+      ~DataFrame.expanding
+      ~DataFrame.explode
+      ~DataFrame.ffill
+      ~DataFrame.fillna
+      ~DataFrame.filter
+      ~DataFrame.first
+      ~DataFrame.first_valid_index
+      ~DataFrame.floordiv
+      ~DataFrame.from_dict
+      ~DataFrame.from_records
+      ~DataFrame.ge
+      ~DataFrame.get
+      ~DataFrame.groupby
+      ~DataFrame.gt
+      ~DataFrame.head
+      ~DataFrame.hist
+      ~DataFrame.idxmax
+      ~DataFrame.idxmin
+      ~DataFrame.infer_objects
+      ~DataFrame.info
+      ~DataFrame.insert
+      ~DataFrame.interpolate
+      ~DataFrame.isin
+      ~DataFrame.isna
+      ~DataFrame.isnull
+      ~DataFrame.items
+      ~DataFrame.iteritems
+      ~DataFrame.iterrows
+      ~DataFrame.itertuples
+      ~DataFrame.join
+      ~DataFrame.keys
+      ~DataFrame.kurt
+      ~DataFrame.kurtosis
+      ~DataFrame.last
+      ~DataFrame.last_valid_index
+      ~DataFrame.le
+      ~DataFrame.lookup
+      ~DataFrame.lt
+      ~DataFrame.mad
+      ~DataFrame.mask
+      ~DataFrame.max
+      ~DataFrame.mean
+      ~DataFrame.median
+      ~DataFrame.melt
+      ~DataFrame.memory_usage
+      ~DataFrame.merge
+      ~DataFrame.min
+      ~DataFrame.mod
+      ~DataFrame.mode
+      ~DataFrame.mul
+      ~DataFrame.multiply
+      ~DataFrame.ne
+      ~DataFrame.nlargest
+      ~DataFrame.notna
+      ~DataFrame.notnull
+      ~DataFrame.nsmallest
+      ~DataFrame.nunique
+      ~DataFrame.pad
+      ~DataFrame.pct_change
+      ~DataFrame.pipe
+      ~DataFrame.pivot
+      ~DataFrame.pivot_table
+      ~DataFrame.pop
+      ~DataFrame.pow
+      ~DataFrame.prod
+      ~DataFrame.product
+      ~DataFrame.quantile
+      ~DataFrame.query
+      ~DataFrame.radd
+      ~DataFrame.rank
+      ~DataFrame.rdiv
+      ~DataFrame.reindex
+      ~DataFrame.reindex_like
+      ~DataFrame.rename
+      ~DataFrame.rename_axis
+      ~DataFrame.reorder_levels
+      ~DataFrame.replace
+      ~DataFrame.resample
+      ~DataFrame.reset_index
+      ~DataFrame.rfloordiv
+      ~DataFrame.rmod
+      ~DataFrame.rmul
+      ~DataFrame.rolling
+      ~DataFrame.round
+      ~DataFrame.rpow
+      ~DataFrame.rsub
+      ~DataFrame.rtruediv
+      ~DataFrame.sample
+      ~DataFrame.select_dtypes
+      ~DataFrame.sem
+      ~DataFrame.set_axis
+      ~DataFrame.set_flags
+      ~DataFrame.set_index
+      ~DataFrame.shift
+      ~DataFrame.skew
+      ~DataFrame.slice_shift
+      ~DataFrame.sort_index
+      ~DataFrame.sort_values
+      ~DataFrame.squeeze
+      ~DataFrame.stack
+      ~DataFrame.std
+      ~DataFrame.sub
+      ~DataFrame.subtract
+      ~DataFrame.sum
+      ~DataFrame.swapaxes
+      ~DataFrame.swaplevel
+      ~DataFrame.tail
+      ~DataFrame.take
+      ~DataFrame.to_clipboard
+      ~DataFrame.to_csv
+      ~DataFrame.to_dict
+      ~DataFrame.to_excel
+      ~DataFrame.to_feather
+      ~DataFrame.to_gbq
+      ~DataFrame.to_hdf
+      ~DataFrame.to_html
+      ~DataFrame.to_json
+      ~DataFrame.to_latex
+      ~DataFrame.to_markdown
+      ~DataFrame.to_numpy
+      ~DataFrame.to_parquet
+      ~DataFrame.to_period
+      ~DataFrame.to_pickle
+      ~DataFrame.to_records
+      ~DataFrame.to_sql
+      ~DataFrame.to_stata
+      ~DataFrame.to_string
+      ~DataFrame.to_timestamp
+      ~DataFrame.to_xarray
+      ~DataFrame.transform
+      ~DataFrame.transpose
+      ~DataFrame.truediv
+      ~DataFrame.truncate
+      ~DataFrame.tshift
+      ~DataFrame.tz_convert
+      ~DataFrame.tz_localize
+      ~DataFrame.unstack
+      ~DataFrame.update
+      ~DataFrame.value_counts
+      ~DataFrame.var
+      ~DataFrame.where
+      ~DataFrame.xs
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DataFrame.T
+      ~DataFrame.at
+      ~DataFrame.attrs
+      ~DataFrame.axes
+      ~DataFrame.columns
+      ~DataFrame.dtypes
+      ~DataFrame.empty
+      ~DataFrame.flags
+      ~DataFrame.iat
+      ~DataFrame.iloc
+      ~DataFrame.index
+      ~DataFrame.loc
+      ~DataFrame.ndim
+      ~DataFrame.shape
+      ~DataFrame.size
+      ~DataFrame.style
+      ~DataFrame.values
+   
+   
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rsub.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rsub.rst
new file mode 100644
index 00000000000..538784ad78a
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rsub.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rsub
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rsub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rtruediv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rtruediv.rst
new file mode 100644
index 00000000000..7e6dc6bdedb
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.rtruediv.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.rtruediv
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.rtruediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sample.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sample.rst
new file mode 100644
index 00000000000..104b6ae398e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.sample.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.sample
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.sample
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.select_dtypes.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.select_dtypes.rst
new file mode 100644
index 00000000000..6ea142593eb
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.select_dtypes.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.select\_dtypes
+===============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.select_dtypes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sem.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sem.rst
new file mode 100644
index 00000000000..b6ec27afa65
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.sem.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.sem
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.sem
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.set_axis.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.set_axis.rst
new file mode 100644
index 00000000000..dabbcacdcaf
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.set_axis.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.set\_axis
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.set_axis
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.set_flags.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.set_flags.rst
new file mode 100644
index 00000000000..2e90e358eed
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.set_flags.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.set\_flags
+===========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.set_flags
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.set_index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.set_index.rst
new file mode 100644
index 00000000000..8dc12d1125b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.set_index.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.set\_index
+===========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.set_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.shape.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.shape.rst
new file mode 100644
index 00000000000..22b2212eb5b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.shape.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.shape
+======================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.shape
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.shift.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.shift.rst
new file mode 100644
index 00000000000..1d1ca622569
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.shift.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.shift
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.shift
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.size.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.size.rst
new file mode 100644
index 00000000000..ee479c487b0
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.size.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.size
+=====================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.size
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.skew.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.skew.rst
new file mode 100644
index 00000000000..4d287ba5ba8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.skew.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.skew
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.skew
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.slice_shift.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.slice_shift.rst
new file mode 100644
index 00000000000..30b2be55fd3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.slice_shift.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.slice\_shift
+=============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.slice_shift
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_index.rst
new file mode 100644
index 00000000000..1a59868330d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_index.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.sort\_index
+============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.sort_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_values.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_values.rst
new file mode 100644
index 00000000000..a95b0c64579
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_values.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.sort\_values
+=============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.sort_values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.density.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.density.rst
new file mode 100644
index 00000000000..7daa26c004f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.density.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.sparse.density
+===============================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.sparse.density
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.from_spmatrix.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.from_spmatrix.rst
new file mode 100644
index 00000000000..b4412b02515
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.from_spmatrix.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.sparse.from\_spmatrix
+======================================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.sparse.from_spmatrix
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_coo.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_coo.rst
new file mode 100644
index 00000000000..3cb20c11b67
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_coo.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.sparse.to\_coo
+===============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.sparse.to_coo
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_dense.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_dense.rst
new file mode 100644
index 00000000000..01b838efee3
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_dense.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.sparse.to\_dense
+=================================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.sparse.to_dense
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.squeeze.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.squeeze.rst
new file mode 100644
index 00000000000..97ec63aec21
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.squeeze.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.squeeze
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.squeeze
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.stack.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.stack.rst
new file mode 100644
index 00000000000..cea7889a321
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.stack.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.stack
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.stack
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.std.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.std.rst
new file mode 100644
index 00000000000..0d9de90c84b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.std.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.std
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.std
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.style.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.style.rst
new file mode 100644
index 00000000000..4af3dc86463
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.style.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.style
+======================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.style
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sub.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sub.rst
new file mode 100644
index 00000000000..4f32aeb329c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.sub.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.sub
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.sub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sum.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sum.rst
new file mode 100644
index 00000000000..f94fd634f42
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.sum.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.sum
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.sum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.swapaxes.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.swapaxes.rst
new file mode 100644
index 00000000000..b471f3e345d
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.swapaxes.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.swapaxes
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.swapaxes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.swaplevel.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.swaplevel.rst
new file mode 100644
index 00000000000..f0047b19093
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.swaplevel.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.swaplevel
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.swaplevel
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.tail.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.tail.rst
new file mode 100644
index 00000000000..eee1eed4bad
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.tail.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.tail
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.tail
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.take.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.take.rst
new file mode 100644
index 00000000000..b648ce8dfb8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.take.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.take
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.take
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_clipboard.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_clipboard.rst
new file mode 100644
index 00000000000..52339fccf95
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_clipboard.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_clipboard
+==============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_clipboard
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_csv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_csv.rst
new file mode 100644
index 00000000000..69a5452fe2c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_csv.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_csv
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_csv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_dict.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_dict.rst
new file mode 100644
index 00000000000..63aeda88e0c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_dict.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_dict
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_dict
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_excel.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_excel.rst
new file mode 100644
index 00000000000..1cc49c2bfba
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_excel.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_excel
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_excel
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_feather.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_feather.rst
new file mode 100644
index 00000000000..808e0546e49
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_feather.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_feather
+============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_feather
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_gbq.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_gbq.rst
new file mode 100644
index 00000000000..5f4a84fe48c
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_gbq.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_gbq
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_gbq
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_hdf.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_hdf.rst
new file mode 100644
index 00000000000..87b471c175e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_hdf.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_hdf
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_hdf
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_html.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_html.rst
new file mode 100644
index 00000000000..361ea3cceac
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_html.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_html
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_html
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_json.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_json.rst
new file mode 100644
index 00000000000..08914be4613
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_json.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_json
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_json
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_latex.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_latex.rst
new file mode 100644
index 00000000000..119cd0891fa
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_latex.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_latex
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_latex
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_markdown.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_markdown.rst
new file mode 100644
index 00000000000..a991c9278ed
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_markdown.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_markdown
+=============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_markdown
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_parquet.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_parquet.rst
new file mode 100644
index 00000000000..2a48e018775
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_parquet.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_parquet
+============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_parquet
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_period.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_period.rst
new file mode 100644
index 00000000000..f2607f0751f
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_period.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_period
+===========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_period
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_pickle.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_pickle.rst
new file mode 100644
index 00000000000..58bcbdfec1b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_pickle.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_pickle
+===========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_pickle
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_records.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_records.rst
new file mode 100644
index 00000000000..7219f0840cb
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_records.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_records
+============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_records
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_sql.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_sql.rst
new file mode 100644
index 00000000000..2d5f6ec7422
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_sql.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_sql
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_sql
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_stata.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_stata.rst
new file mode 100644
index 00000000000..5129b57990b
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_stata.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_stata
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_stata
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_string.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_string.rst
new file mode 100644
index 00000000000..04cc550ebde
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_string.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_string
+===========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_string
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_timestamp.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_timestamp.rst
new file mode 100644
index 00000000000..a778cd29fe8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_timestamp.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_timestamp
+==============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_timestamp
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_xarray.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_xarray.rst
new file mode 100644
index 00000000000..fb3796e7031
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_xarray.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.to\_xarray
+===========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.to_xarray
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.transform.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.transform.rst
new file mode 100644
index 00000000000..05970513c14
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.transform.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.transform
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.transform
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.transpose.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.transpose.rst
new file mode 100644
index 00000000000..6a04dd4d1b4
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.transpose.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.transpose
+==========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.transpose
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.truediv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.truediv.rst
new file mode 100644
index 00000000000..14b855fee38
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.truediv.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.truediv
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.truediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.truncate.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.truncate.rst
new file mode 100644
index 00000000000..9de5770da97
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.truncate.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.truncate
+=========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.truncate
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.tshift.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.tshift.rst
new file mode 100644
index 00000000000..896ed9edbd4
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.tshift.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.tshift
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.tshift
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_convert.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_convert.rst
new file mode 100644
index 00000000000..0251fb97110
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_convert.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.tz\_convert
+============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.tz_convert
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_localize.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_localize.rst
new file mode 100644
index 00000000000..3d354311388
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_localize.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.tz\_localize
+=============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.tz_localize
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.unstack.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.unstack.rst
new file mode 100644
index 00000000000..bffe7398b91
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.unstack.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.unstack
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.unstack
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.update.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.update.rst
new file mode 100644
index 00000000000..08c7963cd81
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.update.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.update
+=======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.update
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.value_counts.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.value_counts.rst
new file mode 100644
index 00000000000..79f2f43a032
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.value_counts.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.value\_counts
+==============================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.value_counts
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.values.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.values.rst
new file mode 100644
index 00000000000..d7e2e4f54d6
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.values.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.values
+=======================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: DataFrame.values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.var.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.var.rst
new file mode 100644
index 00000000000..0b8e97e1c03
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.var.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.var
+====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.var
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.where.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.where.rst
new file mode 100644
index 00000000000..4135b4bb2fa
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.where.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.where
+======================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.where
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.xs.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.xs.rst
new file mode 100644
index 00000000000..78007c290d8
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.DataFrame.xs.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.xs
+===================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.xs
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.Flags.rst b/docs/cudf/source/api_docs/api/pandas.Flags.rst
new file mode 100644
index 00000000000..a7d844cb73e
--- /dev/null
+++ b/docs/cudf/source/api_docs/api/pandas.Flags.rst
@@ -0,0 +1,28 @@
+pandas.Flags
+============
+
+.. currentmodule:: pandas
+
+.. autoclass:: Flags
+
+   
+   .. automethod:: __init__
+
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Flags.__init__
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Flags.allows_duplicate_labels
+   
+   
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/cudf.DataFrame.drop.rst b/docs/cudf/source/api_docs/cudf.DataFrame.drop.rst
new file mode 100644
index 00000000000..6d46566674d
--- /dev/null
+++ b/docs/cudf/source/api_docs/cudf.DataFrame.drop.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.drop
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/cudf.DataFrame.where.rst b/docs/cudf/source/api_docs/cudf.DataFrame.where.rst
new file mode 100644
index 00000000000..c2035bf11b0
--- /dev/null
+++ b/docs/cudf/source/api_docs/cudf.DataFrame.where.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.where
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.where
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/dataframe.rst b/docs/cudf/source/api_docs/dataframe.rst
new file mode 100644
index 00000000000..44357be27bc
--- /dev/null
+++ b/docs/cudf/source/api_docs/dataframe.rst
@@ -0,0 +1,389 @@
+=========
+DataFrame
+=========
+.. currentmodule:: cudf
+
+Constructor
+~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame
+
+Attributes and underlying data
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+**Axes**
+
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.index
+   DataFrame.columns
+
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.dtypes
+   DataFrame.info
+   DataFrame.select_dtypes
+   DataFrame.values
+   DataFrame.axes
+   DataFrame.ndim
+   DataFrame.size
+   DataFrame.shape
+   DataFrame.memory_usage
+   DataFrame.empty
+   DataFrame.set_flags
+
+Conversion
+~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.astype
+   DataFrame.convert_dtypes
+   DataFrame.infer_objects
+   DataFrame.copy
+   DataFrame.bool
+
+Indexing, iteration
+~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.head
+   DataFrame.at
+   DataFrame.iat
+   DataFrame.loc
+   DataFrame.iloc
+   DataFrame.insert
+   DataFrame.__iter__
+   DataFrame.items
+   DataFrame.iteritems
+   DataFrame.keys
+   DataFrame.iterrows
+   DataFrame.itertuples
+   DataFrame.lookup
+   DataFrame.pop
+   DataFrame.tail
+   DataFrame.xs
+   DataFrame.get
+   DataFrame.isin
+   DataFrame.where
+   DataFrame.mask
+   DataFrame.query
+
+For more information on ``.at``, ``.iat``, ``.loc``, and
+``.iloc``,  see the :ref:`indexing documentation <indexing>`.
+
+Binary operator functions
+~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.add
+   DataFrame.sub
+   DataFrame.mul
+   DataFrame.div
+   DataFrame.truediv
+   DataFrame.floordiv
+   DataFrame.mod
+   DataFrame.pow
+   DataFrame.dot
+   DataFrame.radd
+   DataFrame.rsub
+   DataFrame.rmul
+   DataFrame.rdiv
+   DataFrame.rtruediv
+   DataFrame.rfloordiv
+   DataFrame.rmod
+   DataFrame.rpow
+   DataFrame.lt
+   DataFrame.gt
+   DataFrame.le
+   DataFrame.ge
+   DataFrame.ne
+   DataFrame.eq
+   DataFrame.combine
+   DataFrame.combine_first
+
+Function application, GroupBy & window
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.apply
+   DataFrame.applymap
+   DataFrame.pipe
+   DataFrame.agg
+   DataFrame.aggregate
+   DataFrame.transform
+   DataFrame.groupby
+   DataFrame.rolling
+   DataFrame.expanding
+   DataFrame.ewm
+
+.. _api.dataframe.stats:
+
+Computations / descriptive stats
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.abs
+   DataFrame.all
+   DataFrame.any
+   DataFrame.clip
+   DataFrame.corr
+   DataFrame.corrwith
+   DataFrame.count
+   DataFrame.cov
+   DataFrame.cummax
+   DataFrame.cummin
+   DataFrame.cumprod
+   DataFrame.cumsum
+   DataFrame.describe
+   DataFrame.diff
+   DataFrame.eval
+   DataFrame.kurt
+   DataFrame.kurtosis
+   DataFrame.mad
+   DataFrame.max
+   DataFrame.mean
+   DataFrame.median
+   DataFrame.min
+   DataFrame.mode
+   DataFrame.pct_change
+   DataFrame.prod
+   DataFrame.product
+   DataFrame.quantile
+   DataFrame.rank
+   DataFrame.round
+   DataFrame.sem
+   DataFrame.skew
+   DataFrame.sum
+   DataFrame.std
+   DataFrame.var
+   DataFrame.nunique
+   DataFrame.value_counts
+
+Reindexing / selection / label manipulation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.add_prefix
+   DataFrame.add_suffix
+   DataFrame.align
+   DataFrame.at_time
+   DataFrame.between_time
+   DataFrame.drop
+   DataFrame.drop_duplicates
+   DataFrame.duplicated
+   DataFrame.equals
+   DataFrame.filter
+   DataFrame.first
+   DataFrame.head
+   DataFrame.idxmax
+   DataFrame.idxmin
+   DataFrame.last
+   DataFrame.reindex
+   DataFrame.reindex_like
+   DataFrame.rename
+   DataFrame.rename_axis
+   DataFrame.reset_index
+   DataFrame.sample
+   DataFrame.set_axis
+   DataFrame.set_index
+   DataFrame.tail
+   DataFrame.take
+   DataFrame.truncate
+
+.. _api.dataframe.missing:
+
+Missing data handling
+~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.backfill
+   DataFrame.bfill
+   DataFrame.dropna
+   DataFrame.ffill
+   DataFrame.fillna
+   DataFrame.interpolate
+   DataFrame.isna
+   DataFrame.isnull
+   DataFrame.notna
+   DataFrame.notnull
+   DataFrame.pad
+   DataFrame.replace
+
+Reshaping, sorting, transposing
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.droplevel
+   DataFrame.pivot
+   DataFrame.pivot_table
+   DataFrame.reorder_levels
+   DataFrame.sort_values
+   DataFrame.sort_index
+   DataFrame.nlargest
+   DataFrame.nsmallest
+   DataFrame.swaplevel
+   DataFrame.stack
+   DataFrame.unstack
+   DataFrame.swapaxes
+   DataFrame.melt
+   DataFrame.explode
+   DataFrame.squeeze
+   DataFrame.to_xarray
+   DataFrame.T
+   DataFrame.transpose
+
+Combining / comparing / joining / merging
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.append
+   DataFrame.assign
+   DataFrame.compare
+   DataFrame.join
+   DataFrame.merge
+   DataFrame.update
+
+Time Series-related
+~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.asfreq
+   DataFrame.asof
+   DataFrame.shift
+   DataFrame.slice_shift
+   DataFrame.tshift
+   DataFrame.first_valid_index
+   DataFrame.last_valid_index
+   DataFrame.resample
+   DataFrame.to_period
+   DataFrame.to_timestamp
+   DataFrame.tz_convert
+   DataFrame.tz_localize
+
+.. _api.frame.flags:
+
+Flags
+~~~~~
+
+Flags refer to attributes of the pandas object. Properties of the dataset (like
+the date is was recorded, the URL it was accessed from, etc.) should be stored
+in :attr:`DataFrame.attrs`.
+
+.. autosummary::
+   :toctree: api/
+
+   Flags
+
+
+.. _api.frame.metadata:
+
+Metadata
+~~~~~~~~
+
+:attr:`DataFrame.attrs` is a dictionary for storing global metadata for this DataFrame.
+
+.. warning:: ``DataFrame.attrs`` is considered experimental and may change without warning.
+
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.attrs
+
+
+.. _api.dataframe.plotting:
+
+Plotting
+~~~~~~~~
+``DataFrame.plot`` is both a callable method and a namespace attribute for
+specific plotting methods of the form ``DataFrame.plot.<kind>``.
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_callable.rst
+
+   DataFrame.plot
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_method.rst
+
+   DataFrame.plot.area
+   DataFrame.plot.bar
+   DataFrame.plot.barh
+   DataFrame.plot.box
+   DataFrame.plot.density
+   DataFrame.plot.hexbin
+   DataFrame.plot.hist
+   DataFrame.plot.kde
+   DataFrame.plot.line
+   DataFrame.plot.pie
+   DataFrame.plot.scatter
+
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.boxplot
+   DataFrame.hist
+
+
+.. _api.frame.sparse:
+
+Sparse accessor
+~~~~~~~~~~~~~~~
+
+Sparse-dtype specific methods and attributes are provided under the
+``DataFrame.sparse`` accessor.
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_attribute.rst
+
+   DataFrame.sparse.density
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_method.rst
+
+   DataFrame.sparse.from_spmatrix
+   DataFrame.sparse.to_coo
+   DataFrame.sparse.to_dense
+
+
+Serialization / IO / conversion
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.from_dict
+   DataFrame.from_records
+   DataFrame.to_parquet
+   DataFrame.to_pickle
+   DataFrame.to_csv
+   DataFrame.to_hdf
+   DataFrame.to_sql
+   DataFrame.to_dict
+   DataFrame.to_excel
+   DataFrame.to_json
+   DataFrame.to_html
+   DataFrame.to_feather
+   DataFrame.to_latex
+   DataFrame.to_stata
+   DataFrame.to_gbq
+   DataFrame.to_records
+   DataFrame.to_string
+   DataFrame.to_clipboard
+   DataFrame.to_markdown
+   DataFrame.style
diff --git a/docs/cudf/source/api_docs/generated/pandas.Series.array.rst b/docs/cudf/source/api_docs/generated/pandas.Series.array.rst
new file mode 100644
index 00000000000..e0954c01d1a
--- /dev/null
+++ b/docs/cudf/source/api_docs/generated/pandas.Series.array.rst
@@ -0,0 +1,6 @@
+pandas.Series.array
+===================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: Series.array
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/index.rst b/docs/cudf/source/api_docs/index.rst
new file mode 100644
index 00000000000..94d9132d4c9
--- /dev/null
+++ b/docs/cudf/source/api_docs/index.rst
@@ -0,0 +1,15 @@
+=============
+API reference
+=============
+
+This is a simple demonstration site to show off a few visual
+and structural elements of the theme. Click the sections on
+the left sidebar to see how various elements look on this theme.
+
+.. toctree::
+    :maxdepth: 2
+    :caption: API Documentation
+
+    series
+    dataframe
+
diff --git a/docs/cudf/source/api_docs/pandas.DataFrame.drop.rst b/docs/cudf/source/api_docs/pandas.DataFrame.drop.rst
new file mode 100644
index 00000000000..9ee305369db
--- /dev/null
+++ b/docs/cudf/source/api_docs/pandas.DataFrame.drop.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.drop
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/pandas.DataFrame.groupby.rst b/docs/cudf/source/api_docs/pandas.DataFrame.groupby.rst
new file mode 100644
index 00000000000..f8872657308
--- /dev/null
+++ b/docs/cudf/source/api_docs/pandas.DataFrame.groupby.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.groupby
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/series.rst b/docs/cudf/source/api_docs/series.rst
new file mode 100644
index 00000000000..6e0943930a1
--- /dev/null
+++ b/docs/cudf/source/api_docs/series.rst
@@ -0,0 +1,601 @@
+======
+Series
+======
+.. currentmodule:: cudf
+
+Constructor
+-----------
+.. autosummary::
+   :toctree: api/
+
+   Series
+
+Attributes
+----------
+**Axes**
+
+.. autosummary::
+   :toctree: api/
+
+   Series.index
+   Series.array
+   Series.values
+   Series.dtype
+   Series.shape
+   Series.nbytes
+   Series.ndim
+   Series.size
+   Series.T
+   Series.memory_usage
+   Series.hasnans
+   Series.empty
+   Series.dtypes
+   Series.name
+   Series.flags
+   Series.set_flags
+
+Conversion
+----------
+.. autosummary::
+   :toctree: api/
+
+   Series.astype
+   Series.convert_dtypes
+   Series.infer_objects
+   Series.copy
+   Series.bool
+   Series.to_numpy
+   Series.to_period
+   Series.to_timestamp
+   Series.to_list
+   Series.__array__
+
+Indexing, iteration
+-------------------
+.. autosummary::
+   :toctree: api/
+
+   Series.get
+   Series.at
+   Series.iat
+   Series.loc
+   Series.iloc
+   Series.__iter__
+   Series.items
+   Series.iteritems
+   Series.keys
+   Series.pop
+   Series.item
+   Series.xs
+
+For more information on ``.at``, ``.iat``, ``.loc``, and
+``.iloc``,  see the :ref:`indexing documentation <indexing>`.
+
+Binary operator functions
+-------------------------
+.. autosummary::
+   :toctree: api/
+
+   Series.add
+   Series.sub
+   Series.mul
+   Series.div
+   Series.truediv
+   Series.floordiv
+   Series.mod
+   Series.pow
+   Series.radd
+   Series.rsub
+   Series.rmul
+   Series.rdiv
+   Series.rtruediv
+   Series.rfloordiv
+   Series.rmod
+   Series.rpow
+   Series.combine
+   Series.combine_first
+   Series.round
+   Series.lt
+   Series.gt
+   Series.le
+   Series.ge
+   Series.ne
+   Series.eq
+   Series.product
+   Series.dot
+
+Function application, GroupBy & window
+--------------------------------------
+.. autosummary::
+   :toctree: api/
+
+   Series.apply
+   Series.agg
+   Series.aggregate
+   Series.transform
+   Series.map
+   Series.groupby
+   Series.rolling
+   Series.expanding
+   Series.ewm
+   Series.pipe
+
+.. _api.series.stats:
+
+Computations / descriptive stats
+--------------------------------
+.. autosummary::
+   :toctree: api/
+
+   Series.abs
+   Series.all
+   Series.any
+   Series.autocorr
+   Series.between
+   Series.clip
+   Series.corr
+   Series.count
+   Series.cov
+   Series.cummax
+   Series.cummin
+   Series.cumprod
+   Series.cumsum
+   Series.describe
+   Series.diff
+   Series.factorize
+   Series.kurt
+   Series.mad
+   Series.max
+   Series.mean
+   Series.median
+   Series.min
+   Series.mode
+   Series.nlargest
+   Series.nsmallest
+   Series.pct_change
+   Series.prod
+   Series.quantile
+   Series.rank
+   Series.sem
+   Series.skew
+   Series.std
+   Series.sum
+   Series.var
+   Series.kurtosis
+   Series.unique
+   Series.nunique
+   Series.is_unique
+   Series.is_monotonic
+   Series.is_monotonic_increasing
+   Series.is_monotonic_decreasing
+   Series.value_counts
+
+Reindexing / selection / label manipulation
+-------------------------------------------
+.. autosummary::
+   :toctree: api/
+
+   Series.align
+   Series.drop
+   Series.droplevel
+   Series.drop_duplicates
+   Series.duplicated
+   Series.equals
+   Series.first
+   Series.head
+   Series.idxmax
+   Series.idxmin
+   Series.isin
+   Series.last
+   Series.reindex
+   Series.reindex_like
+   Series.rename
+   Series.rename_axis
+   Series.reset_index
+   Series.sample
+   Series.set_axis
+   Series.take
+   Series.tail
+   Series.truncate
+   Series.where
+   Series.mask
+   Series.add_prefix
+   Series.add_suffix
+   Series.filter
+
+Missing data handling
+---------------------
+.. autosummary::
+   :toctree: api/
+
+   Series.backfill
+   Series.bfill
+   Series.dropna
+   Series.ffill
+   Series.fillna
+   Series.interpolate
+   Series.isna
+   Series.isnull
+   Series.notna
+   Series.notnull
+   Series.pad
+   Series.replace
+
+Reshaping, sorting
+------------------
+.. autosummary::
+   :toctree: api/
+
+   Series.argsort
+   Series.argmin
+   Series.argmax
+   Series.reorder_levels
+   Series.sort_values
+   Series.sort_index
+   Series.swaplevel
+   Series.unstack
+   Series.explode
+   Series.searchsorted
+   Series.ravel
+   Series.repeat
+   Series.squeeze
+   Series.view
+
+Combining / comparing / joining / merging
+-----------------------------------------
+.. autosummary::
+   :toctree: api/
+
+   Series.append
+   Series.compare
+   Series.update
+
+Time Series-related
+-------------------
+.. autosummary::
+   :toctree: api/
+
+   Series.asfreq
+   Series.asof
+   Series.shift
+   Series.first_valid_index
+   Series.last_valid_index
+   Series.resample
+   Series.tz_convert
+   Series.tz_localize
+   Series.at_time
+   Series.between_time
+   Series.tshift
+   Series.slice_shift
+
+Accessors
+---------
+
+pandas provides dtype-specific methods under various accessors.
+These are separate namespaces within :class:`Series` that only apply
+to specific data types.
+
+=========================== =================================
+Data Type                   Accessor
+=========================== =================================
+Datetime, Timedelta, Period :ref:`dt <api.series.dt>`
+String                      :ref:`str <api.series.str>`
+Categorical                 :ref:`cat <api.series.cat>`
+Sparse                      :ref:`sparse <api.series.sparse>`
+=========================== =================================
+
+.. _api.series.dt:
+
+Datetimelike properties
+~~~~~~~~~~~~~~~~~~~~~~~
+
+``Series.dt`` can be used to access the values of the series as
+datetimelike and return several properties.
+These can be accessed like ``Series.dt.<property>``.
+
+Datetime properties
+^^^^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_attribute.rst
+
+   Series.dt.date
+   Series.dt.time
+   Series.dt.timetz
+   Series.dt.year
+   Series.dt.month
+   Series.dt.day
+   Series.dt.hour
+   Series.dt.minute
+   Series.dt.second
+   Series.dt.microsecond
+   Series.dt.nanosecond
+   Series.dt.week
+   Series.dt.weekofyear
+   Series.dt.dayofweek
+   Series.dt.day_of_week
+   Series.dt.weekday
+   Series.dt.dayofyear
+   Series.dt.day_of_year
+   Series.dt.quarter
+   Series.dt.is_month_start
+   Series.dt.is_month_end
+   Series.dt.is_quarter_start
+   Series.dt.is_quarter_end
+   Series.dt.is_year_start
+   Series.dt.is_year_end
+   Series.dt.is_leap_year
+   Series.dt.daysinmonth
+   Series.dt.days_in_month
+   Series.dt.tz
+   Series.dt.freq
+
+Datetime methods
+^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_method.rst
+
+   Series.dt.to_period
+   Series.dt.to_pydatetime
+   Series.dt.tz_localize
+   Series.dt.tz_convert
+   Series.dt.normalize
+   Series.dt.strftime
+   Series.dt.round
+   Series.dt.floor
+   Series.dt.ceil
+   Series.dt.month_name
+   Series.dt.day_name
+
+Period properties
+^^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_attribute.rst
+
+   Series.dt.qyear
+   Series.dt.start_time
+   Series.dt.end_time
+
+Timedelta properties
+^^^^^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_attribute.rst
+
+   Series.dt.days
+   Series.dt.seconds
+   Series.dt.microseconds
+   Series.dt.nanoseconds
+   Series.dt.components
+
+Timedelta methods
+^^^^^^^^^^^^^^^^^
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_method.rst
+
+   Series.dt.to_pytimedelta
+   Series.dt.total_seconds
+
+
+.. _api.series.str:
+
+String handling
+~~~~~~~~~~~~~~~
+
+``Series.str`` can be used to access the values of the series as
+strings and apply several methods to it. These can be accessed like
+``Series.str.<function/property>``.
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_method.rst
+
+   Series.str.capitalize
+   Series.str.casefold
+   Series.str.cat
+   Series.str.center
+   Series.str.contains
+   Series.str.count
+   Series.str.decode
+   Series.str.encode
+   Series.str.endswith
+   Series.str.extract
+   Series.str.extractall
+   Series.str.find
+   Series.str.findall
+   Series.str.get
+   Series.str.index
+   Series.str.join
+   Series.str.len
+   Series.str.ljust
+   Series.str.lower
+   Series.str.lstrip
+   Series.str.match
+   Series.str.normalize
+   Series.str.pad
+   Series.str.partition
+   Series.str.repeat
+   Series.str.replace
+   Series.str.rfind
+   Series.str.rindex
+   Series.str.rjust
+   Series.str.rpartition
+   Series.str.rstrip
+   Series.str.slice
+   Series.str.slice_replace
+   Series.str.split
+   Series.str.rsplit
+   Series.str.startswith
+   Series.str.strip
+   Series.str.swapcase
+   Series.str.title
+   Series.str.translate
+   Series.str.upper
+   Series.str.wrap
+   Series.str.zfill
+   Series.str.isalnum
+   Series.str.isalpha
+   Series.str.isdigit
+   Series.str.isspace
+   Series.str.islower
+   Series.str.isupper
+   Series.str.istitle
+   Series.str.isnumeric
+   Series.str.isdecimal
+   Series.str.get_dummies
+
+..
+    The following is needed to ensure the generated pages are created with the
+    correct template (otherwise they would be created in the Series/Index class page)
+
+..
+    .. autosummary::
+       :toctree: api/
+       :template: autosummary/accessor.rst
+
+       Series.str
+       Series.cat
+       Series.dt
+       Series.sparse
+       DataFrame.sparse
+       Index.str
+
+.. _api.series.cat:
+
+Categorical accessor
+~~~~~~~~~~~~~~~~~~~~
+
+Categorical-dtype specific methods and attributes are available under
+the ``Series.cat`` accessor.
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_attribute.rst
+
+   Series.cat.categories
+   Series.cat.ordered
+   Series.cat.codes
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_method.rst
+
+   Series.cat.rename_categories
+   Series.cat.reorder_categories
+   Series.cat.add_categories
+   Series.cat.remove_categories
+   Series.cat.remove_unused_categories
+   Series.cat.set_categories
+   Series.cat.as_ordered
+   Series.cat.as_unordered
+
+
+.. _api.series.sparse:
+
+Sparse accessor
+~~~~~~~~~~~~~~~
+
+Sparse-dtype specific methods and attributes are provided under the
+``Series.sparse`` accessor.
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_attribute.rst
+
+   Series.sparse.npoints
+   Series.sparse.density
+   Series.sparse.fill_value
+   Series.sparse.sp_values
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_method.rst
+
+   Series.sparse.from_coo
+   Series.sparse.to_coo
+
+.. _api.series.flags:
+
+Flags
+~~~~~
+
+Flags refer to attributes of the pandas object. Properties of the dataset (like
+the date is was recorded, the URL it was accessed from, etc.) should be stored
+in :attr:`Series.attrs`.
+
+.. autosummary::
+   :toctree: api/
+
+   Flags
+
+.. _api.series.metadata:
+
+Metadata
+~~~~~~~~
+
+:attr:`Series.attrs` is a dictionary for storing global metadata for this Series.
+
+.. warning:: ``Series.attrs`` is considered experimental and may change without warning.
+
+.. autosummary::
+   :toctree: api/
+
+   Series.attrs
+
+
+Plotting
+--------
+``Series.plot`` is both a callable method and a namespace attribute for
+specific plotting methods of the form ``Series.plot.<kind>``.
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_callable.rst
+
+   Series.plot
+
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/accessor_method.rst
+
+   Series.plot.area
+   Series.plot.bar
+   Series.plot.barh
+   Series.plot.box
+   Series.plot.density
+   Series.plot.hist
+   Series.plot.kde
+   Series.plot.line
+   Series.plot.pie
+
+.. autosummary::
+   :toctree: api/
+
+   Series.hist
+
+Serialization / IO / conversion
+-------------------------------
+.. autosummary::
+   :toctree: api/
+
+   Series.to_pickle
+   Series.to_csv
+   Series.to_dict
+   Series.to_excel
+   Series.to_frame
+   Series.to_xarray
+   Series.to_hdf
+   Series.to_sql
+   Series.to_json
+   Series.to_string
+   Series.to_clipboard
+   Series.to_latex
+   Series.to_markdown
diff --git a/docs/cudf/source/basics/basics.rst b/docs/cudf/source/basics/basics.rst
new file mode 100644
index 00000000000..15b4b43662b
--- /dev/null
+++ b/docs/cudf/source/basics/basics.rst
@@ -0,0 +1,54 @@
+Basics
+======
+
+
+Supported Dtypes
+----------------
+
+cuDF uses dtypes for Series or individual columns of a DataFrame. cuDF uses NumPy dtypes, NumPy provides support for ``float``, ``int``, ``bool``,
+``'timedelta64[s]'``, ``'timedelta64[ms]'``, ``'timedelta64[us]'``, ``'timedelta64[ns]'``, ``'datetime64[s]'``, ``'datetime64[ms]'``,
+``'datetime64[us]'``, ``'datetime64[ns]'`` (note that NumPy does not support timezone-aware datetimes).
+
+
+The following table lists all of cudf types. For methods requiring dtype arguments, strings can be specified as indicated. See the respective documentation sections for more on each type.
+
+
++------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+| Kind of Data           | Data Type        | Scalar                                                                              | String Aliases                              |
++========================+==================+=====================================================================================+=============================================+
+| Integer                |                  | np.int8_, np.int16_, np.int32_, np.int64_, np.uint8_, np.uint16_,                   | ``'int8'``, ``'int16'``, ``'int32'``,       |
+|                        |                  | np.uint32_, np.uint64_                                                              | ``'int64'``, ``'uint8'``, ``'uint16'``,     |
+|                        |                  |                                                                                     | ``'uint32'``, ``'uint64'``                  |
++------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+| Float                  |                  | np.float32_, np.float64_                                                            | ``'float32'``, ``'float64'``                |
++------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+| Strings                |                  | `str <https://docs.python.org/3/library/stdtypes.html#str>`_                        | ``'string'``, ``'object'``                  |
++------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+| Datetime               |                  | np.datetime64_                                                                      | ``'datetime64[s]'``, ``'datetime64[ms]'``,  |
+|                        |                  |                                                                                     | ``'datetime64[us]'``, ``'datetime64[ns]'``  |
++------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+| Timedelta              |                  | np.timedelta64_                                                                     | ``'timedelta64[s]'``, ``'timedelta64[ms]'``,|
+| (duration type)        |                  |                                                                                     | ``'timedelta64[us]'``, ``'timedelta64[ns]'``|
++------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+| Categorical            | CategoricalDtype | (none)                                                                              | ``'category'``                              |
++------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+| Boolean                |                  | np.bool_                                                                            | ``'bool'``                                  |
++------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+| Decimal                | Decimal64Dtype   | (none)                                                                              | (none)                                      |
++------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+
+**Note: All dtypes above are Nullable**
+
+.. _np.int8: 
+.. _np.int16: 
+.. _np.int32:
+.. _np.int64:
+.. _np.uint8:
+.. _np.uint16:
+.. _np.uint32:
+.. _np.uint64:
+.. _np.float32:
+.. _np.float64:
+.. _np.bool: https://numpy.org/doc/stable/user/basics.types.html
+.. _np.datetime64: https://numpy.org/doc/stable/reference/arrays.datetime.html#basic-datetimes
+.. _np.timedelta64: https://numpy.org/doc/stable/reference/arrays.datetime.html#datetime-and-timedelta-arithmetic
diff --git a/docs/cudf/source/basics/dask-cudf.md b/docs/cudf/source/basics/dask-cudf.md
new file mode 100644
index 00000000000..92ef4eb1c46
--- /dev/null
+++ b/docs/cudf/source/basics/dask-cudf.md
@@ -0,0 +1,78 @@
+Multi-GPU with Dask-cuDF
+========================
+
+cuDF is a single-GPU library. For Multi-GPU cuDF solutions we use [Dask](https://dask.org/) and the [dask-cudf package](https://github.com/rapidsai/cudf/tree/main/python/dask_cudf), which is able to scale cuDF across multiple GPUs on a single machine, or multiple GPUs across many machines in a cluster.
+
+[Dask DataFrame](http://docs.dask.org/en/latest/dataframe.html) was originally designed to scale Pandas, orchestrating many Pandas DataFrames spread across many CPUs into a cohesive parallel DataFrame. Because cuDF currently implements only a subset of Pandas’s API, not all Dask DataFrame operations work with cuDF.
+
+The following is tested and expected to work:
+
+What works
+----------
+
+-  Data ingestion
+    -  ``dask_cudf.read_csv``
+    -  Use standard Dask ingestion with Pandas, then convert to cuDF (For
+      Parquet and other formats this is often decently fast)
+-  Linear operations
+    -  Element-wise operations:  ``df.x + df.y``, ``df ** 2``
+    -  Assignment: ``df['z'] = df.x + df.y``
+    -  Row-wise selections:  ``df[df.x > 0]``
+    -  Loc:  ``df.loc['2001-01-01': '2005-02-02']``
+    -  Date time/string accessors:  ``df.timestamp.dt.dayofweek``
+    -  ... and most similar operations in this category that are already implemented in cuDF
+-  Reductions
+    -  Like ``sum``, ``mean``, ``max``, ``count``, and so on on ``Series`` objects
+    -  <strike>Support for reductions on full dataframes</strike>
+    -  <strike>``std``</strike>
+    -  Custom reductions with [dask.dataframe.reduction](http://docs.dask.org/en/latest/dataframe-api.html#dask.dataframe.Series.reduction)
+-  Groupby aggregations
+    -  On single columns: ``df.groupby('x').y.max()``
+    -  With custom aggregations:
+    -  <strike>groupby standard deviation</strike>
+    -  <strike>grouping on multiple columns</strike>
+    -  <strike>groupby agg for multiple outputs</strike>
+-  Joins:
+    -  On full unsorted columns: ``left.merge(right, on='id')`` (expensive)
+    -  On sorted indexes: ``left.merge(right, left_index=True, right_index=True)`` (fast)
+    -  On large and small dataframes: ``left.merge(cudf_df, on='id')`` (fast)
+-  <strike>Rolling operations</strike>
+-  Converting to and from other forms
+    -  Dask + Pandas to Dask + cuDF ``df.map_partitions(cudf.from_pandas)``
+    -  Dask + cuDF to Dask + Pandas ``df.map_partitions(lambda df: df.to_pandas())``
+    -  cuDF to Dask + cuDF: ``dask.dataframe.from_pandas(df, npartitions=20)``
+    -  Dask + cuDF to cuDF: ``df.compute()``
+
+Additionally all generic Dask operations, like ``compute``, ``persist``,
+``visualize`` and so on work regardless.
+
+
+Developing the API
+------------------
+
+Above we mention the following:
+
+> and most similar operations in this category that are already implemented in cuDF
+
+This is because it is difficult to create a comprehensive list of operations in
+the cuDF and Pandas libraries.  The API is large enough to be difficult to track
+effectively.  For any operation that operates row-wise like ``fillna`` or
+``query`` things will likely, but not certainly work.  If operations don't work
+it is often due to a slight inconsistency between Pandas and cuDF that is
+generally easy to fix.  We encourage users to look at the [cuDF issue
+tracker](https://github.com/rapidsai/cudf/issues) to see if their issue has
+already been reported and, if not,
+[raise a new issue](https://github.com/rapidsai/cudf/issues/new).
+
+
+Navigating the API
+------------------
+
+This project reuses the
+[Dask DataFrame](https://docs.dask.org/en/latest/dataframe.html) project, which
+was originally designed for Pandas, with the newer library cuDF.  Because we use
+the same Dask classes for both projects there are often methods that are
+implemented for Pandas, but not yet for cuDF.  As a result users looking at the
+full Dask DataFrame API can be misleading, and often lead to frustration when
+operations that are advertised in the Dask API do not work as expected with
+cuDF.  We apologize for this in advance.
diff --git a/docs/cudf/source/basics/groupby.md b/docs/cudf/source/basics/groupby.md
new file mode 100644
index 00000000000..8a0e5dddba0
--- /dev/null
+++ b/docs/cudf/source/basics/groupby.md
@@ -0,0 +1,200 @@
+GroupBy
+=======
+
+cuDF supports a small (but important) subset of
+Pandas' [groupby API](https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html).
+
+## Summary of supported operations
+
+1. Grouping by one or more columns
+1. Basic aggregations such as "sum", "mean", etc.
+1. Quantile aggregation
+1. A "collect" or `list` aggregation for collecting values in a group into lists
+1. Automatic exclusion of columns with unsupported dtypes ("nuisance" columns) when aggregating
+1. Iterating over the groups of a GroupBy object
+1. `GroupBy.groups` API that returns a mapping of group keys to row labels
+1. `GroupBy.apply` API for performing arbitrary operations on each group. Note that
+   this has very limited functionality compared to the equivalent Pandas function.
+   See the section on [apply](#groupby-apply) for more details.
+1. `GroupBy.pipe` similar to [Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#piping-function-calls).
+
+## Grouping
+
+A GroupBy object is created by grouping the values of a `Series` or `DataFrame`
+by one or more columns:
+
+```python
+import cudf
+
+>>> df = cudf.DataFrame({'a': [1, 1, 1, 2, 2], 'b': [1, 1, 2, 2, 3], 'c': [1, 2, 3, 4, 5]})
+>>> df
+>>> gb1 = df.groupby('a')  # grouping by a single column
+>>> gb2 = df.groupby(['a', 'b'])  # grouping by multiple columns
+>>> gb3 = df.groupby(cudf.Series(['a', 'a', 'b', 'b', 'b']))  # grouping by an external column
+```
+
+``` warning::
+   cuDF uses `sort=False` by default to achieve better performance, which provides no gaurentee to the group order in outputs. This deviates from Pandas default behavior.
+
+   For example:
+
+   .. code-block:: python
+   
+      >>> df = cudf.DataFrame({'a' : [2, 2, 1], 'b' : [42, 21, 11]})
+      >>> df.groupby('a').sum()
+         b
+      a    
+      2  63
+      1  11
+      >>> df.to_pandas().groupby('a').sum()
+         b
+      a    
+      1  11
+      2  63
+   
+   Setting `sort=True` will produce Pandas-like output, but with some performance penalty:
+
+   .. code-block:: python
+   
+      >>> df.groupby('a', sort=True).sum()
+         b
+      a    
+      1  11
+      2  63
+
+```
+
+### Grouping by index levels
+
+You can also group by one or more levels of a MultiIndex:
+
+```python
+>>> df = cudf.DataFrame(
+...     {'a': [1, 1, 1, 2, 2], 'b': [1, 1, 2, 2, 3], 'c': [1, 2, 3, 4, 5]}
+... ).set_index(['a', 'b'])
+...
+>>> df.groupby(level='a')
+```
+
+### The `Grouper` object
+
+A `Grouper` can be used to disambiguate between columns and levels when they have the same name:
+
+```python
+>>> df
+   b  c
+b
+1  1  1
+1  1  2
+1  2  3
+2  2  4
+2  3  5
+>>> df.groupby('b', level='b')  # ValueError: Cannot specify both by and level
+>>> df.groupby([cudf.Grouper(key='b'), cudf.Grouper(level='b')])  # OK
+```
+
+## Aggregation
+
+Aggregations on groups is supported via the `agg` method:
+
+```python
+>>> df
+   a  b  c
+0  1  1  1
+1  1  1  2
+2  1  2  3
+3  2  2  4
+4  2  3  5
+>>> df.groupby('a').agg('sum')
+   b  c
+a
+1  4  6
+2  5  9
+>>> df.groupby('a').agg({'b': ['sum', 'min'], 'c': 'mean'})
+    b        c
+  sum min mean
+a
+1   4   1  2.0
+2   5   2  4.5
+```
+
+The following table summarizes the available aggregations and the types that support them:
+
+| Aggregations\dtypes | Numeric  | Datetime | String   | Categorical | List | Struct | Interval | Decimal |
+| ------------------- | -------- | -------  | -------- | ----------- | ---- | ------ | -------- | ------- |
+| count               | ✅       | ✅       | ✅       | ✅          |      |        |          | ✅      |
+| size                | ✅       | ✅       | ✅       | ✅          |      |        |          | ✅      |
+| sum                 | ✅       | ✅       |          |             |      |        |          | ✅      |
+| idxmin              | ✅       | ✅       |          |             |      |        |          | ✅      |
+| idxmax              | ✅       | ✅       |          |             |      |        |          | ✅      |
+| min                 | ✅       | ✅       | ✅       |             |      |        |          | ✅      |
+| max                 | ✅       | ✅       | ✅       |             |      |        |          | ✅      |
+| mean                | ✅       | ✅       |          |             |      |        |          |         |
+| var                 | ✅       | ✅       |          |             |      |        |          |         |
+| std                 | ✅       | ✅       |          |             |      |        |          |         |
+| quantile            | ✅       | ✅       |          |             |      |        |          |         |
+| median              | ✅       | ✅       |          |             |      |        |          |         |
+| nunique             | ✅       | ✅       | ✅       | ✅          |      |        |          | ✅      |
+| nth                 | ✅       | ✅       | ✅       |             |      |        |          | ✅      |
+| collect             | ✅       | ✅       | ✅       |             | ✅   |        |          | ✅      |
+| unique              | ✅       | ✅       | ✅       | ✅          |      |        |          |         |
+
+## GroupBy apply
+
+To apply function on each group, use the `GroupBy.apply()` method:
+
+```python
+>>> df
+   a  b  c
+0  1  1  1
+1  1  1  2
+2  1  2  3
+3  2  2  4
+4  2  3  5
+>>> df.groupby('a').apply(lambda x: x.max() - x.min())
+   a  b  c
+a
+0  0  1  2
+1  0  1  1
+```
+
+### Limitations
+
+* `apply` works by applying the provided function to each group sequentially,
+  and concatenating the results together. **This can be very slow**, especially
+  for a large number of small groups. For a small number of large groups, it
+  can give acceptable performance
+
+* The results may not always match Pandas exactly. For example, cuDF may return
+  a `DataFrame` containing a single column where Pandas returns a `Series`.
+  Some post-processing may be required to match Pandas behavior.
+
+* cuDF does not support some of the exceptional cases that Pandas supports with
+  `apply`, such as [`describe`](https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#flexible-apply).
+
+## Rolling window calculations
+
+Use the `GroupBy.rolling()` method to perform rolling window calculations on each group:
+
+```python
+>>> df
+   a  b  c
+0  1  1  1
+1  1  1  2
+2  1  2  3
+3  2  2  4
+4  2  3  5
+```
+
+Rolling window sum on each group with a window size of 2:
+
+```python
+>>> df.groupby('a').rolling(2).sum()
+        a     b     c
+a
+1 0  <NA>  <NA>  <NA>
+  1     2     2     3
+  2     2     3     5
+2 3  <NA>  <NA>  <NA>
+  4     4     5     9
+```
diff --git a/docs/cudf/source/basics/index.rst b/docs/cudf/source/basics/index.rst
new file mode 100644
index 00000000000..d4cb7259d17
--- /dev/null
+++ b/docs/cudf/source/basics/index.rst
@@ -0,0 +1,14 @@
+======
+Basics
+======
+
+
+.. toctree::
+   :maxdepth: 2
+
+   basics
+   io.rst
+   groupby.md
+   dask-cudf.md
+   internals.md
+
diff --git a/docs/cudf/source/basics/internals.md b/docs/cudf/source/basics/internals.md
new file mode 100644
index 00000000000..d0a2a324c17
--- /dev/null
+++ b/docs/cudf/source/basics/internals.md
@@ -0,0 +1,194 @@
+cuDF internals
+==============
+
+The cuDF API closely matches that of the [Pandas](https://pandas.pydata.org/) library.
+Thus, we have the types `cudf.Series`, `cudf.DataFrame` and `cudf.Index` which look and
+feel very much like their Pandas counterparts.
+
+Under the hood, however, cuDF uses data structures very different from Pandas. In this document,
+we describe these internal data structures.
+
+## Column
+
+Columns are cuDF's core data structure and they are modeled after
+the [Apache Arrow Columnar Format](https://arrow.apache.org/docs/format/Columnar.html).
+
+A column represents a sequence of values, any number of which may be "null". Columns are
+specialized based on the type of data they contain. Thus we have `NumericalColumn`, `StringColumn`,
+`DatetimeColumn`, etc.,
+
+A column is composed of the following:
+
+* A **data type**, specifying the type of each element.
+* A **data buffer** that may store the data for the column elements.
+  Some column types do not have a data buffer, instead storing data in the children columns.
+* A **mask buffer** whose bits represent the validity (null or not null) of each element.
+  Columns whose elements are all "valid" may not have a mask buffer. Mask buffers are padded
+  to 64 bytes.
+* A tuple of **children** columns, which enable the representation complex types such as
+  columns with non-fixed width elements such as strings or lists.
+* A **size** indicating the number of elements in the column.
+* An integer **offset**: a column may represent a "slice" of another column,
+  in which case this offset represents the first element of the slice. The size of
+  the column then gives the extent of the slice. A column that is not a slice
+  has an offset of 0.
+
+For example, the `NumericalColumn` backing a Series with 1000 elements of type 'int32'
+and containing nulls is composed of:
+
+1. A data buffer of size 4000 bytes (sizeof(int32) * 1000)
+2. A mask buffer of size 128 bytes (1000/8 padded to a multiple of 64 bytes)
+3. No children columns
+
+As another example, the `StringColumn` backing the Series
+`['do', 'you', 'have', 'any', 'cheese?']` is composed of:
+
+1. No data buffer
+2. No mask buffer as there are no nulls in the Series
+3. Two children columns:
+   - A column of 8-bit characters `['d', 'o', 'y', 'o', 'u', h' ... '?']`
+   - A column of "offsets" to the characters column (in this case, `[0, 2, 5, 9, 12, 19]`)
+
+## Buffer
+
+The data and mask buffers of a column represent data in GPU memory (a.k.a *device memory*),
+and are object of type `cudf.core.buffer.Buffer`.
+
+Buffers can be constructed from array-like objects that live either on the host (e.g., numpy arrays)
+or the device (e.g., cupy arrays). Arrays must be of `uint8` dtype or viewed as such.
+
+When constructing a Buffer from a host object such as a numpy array, new device memory is allocated:
+
+```python
+>>> from cudf.core.buffer import Buffer
+>>> buf = Buffer(np.array([1, 2, 3], dtype='int64').view("uint8"))
+>>> print(buf.ptr)  # address of new device memory allocation
+140050901762560
+>>> print(buf.size)
+24
+>>> print(buf._owner)
+<rmm._lib.device_buffer.DeviceBuffer object at 0x7f6055baab50>
+```
+
+cuDF uses the [RMM](https://github.com/rapidsai/rmm) library for allocating device memory.
+You can read more about device memory allocation with RMM
+[here](https://github.com/rapidsai/rmm#devicebuffers).
+
+When constructing a Buffer from a device object such as a CuPy array, no new device memory is
+allocated. Instead, the Buffer points to the existing allocation, keeping a reference to the device
+array:
+
+```python
+>>> import cupy as cp
+>>> c_ary = cp.asarray([1, 2, 3], dtype='int64')
+>>> buf = Buffer(c_ary.view("uint8"))
+>>> print(c_ary.data.mem.ptr)
+140050901762560
+>>> print(buf.ptr)
+140050901762560
+>>> print(buf.size)
+24
+>>> print(buf._owner is c_ary)
+True
+```
+
+An uninitialized block of device memory can be allocated with `Buffer.empty`:
+
+```python
+>>> buf = Buffer.empty(10)
+>>> print(buf.size)
+10
+>>> print(buf._owner)
+<rmm._lib.device_buffer.DeviceBuffer object at 0x7f6055baa890>
+```
+
+## ColumnAccessor
+
+cuDF  `Series`, `DataFrame` and `Index` are all subclasses of an internal `Frame` class.
+The underlying data structure of `Frame` is an ordered, dictionary-like object
+known as `ColumnAccessor`, which can be accessed via the `._data` attribute:
+
+```python
+>>> a = cudf.DataFrame({'x': [1, 2, 3], 'y': ['a', 'b', 'c']})
+>>> a._data
+ColumnAccessor(OrderedColumnDict([('x', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d12e050>), ('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d12e320>)]), multiindex=False, level_names=(None,))
+```
+
+ColumnAccessor is an ordered mapping of column labels to columns. In addition to behaving
+like an OrderedDict, it supports things like selecting multiple columns (both by index and label), as well as hierarchical indexing.
+
+```python
+>>> from cudf.core.column_accessor import ColumnAccessor
+```
+
+The values of a ColumnAccessor are coerced to Columns during construction:
+
+```python
+>>> ca = ColumnAccessor({'x': [1, 2, 3], 'y': ['a', 'b', 'c']})
+>>> ca['x']
+<cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>
+>>> ca['y']
+<cudf.core.column.string.StringColumn object at 0x7f5a7d578b90>
+>>> ca.pop('x')
+<cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>
+>>> ca
+ColumnAccessor(OrderedColumnDict([('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578b90>)]), multiindex=False, level_names=(None,))
+```
+
+Columns can be inserted at a specified location:
+
+```python
+>>> ca.insert('z', [3, 4, 5], loc=1)
+>>> ca
+ColumnAccessor(OrderedColumnDict([('x', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d578dd0>), ('z', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d578680>), ('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d12e3b0>)]), multiindex=False, level_names=(None,))
+```
+
+Selecting columns by index:
+
+```python
+>>> ca = ColumnAccessor({'x': [1, 2, 3], 'y': ['a', 'b', 'c'], 'z': [4, 5, 6]})
+>>> ca.select_by_index(1)
+ColumnAccessor(OrderedColumnDict([('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578830>)]), multiindex=False, level_names=(None,))
+>>> ca.select_by_index([0, 1])
+ColumnAccessor(OrderedColumnDict([('x', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>), ('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578830>)]), multiindex=False, level_names=(None,))    
+>>> ca.select_by_index(slice(1, 3))
+ColumnAccessor(OrderedColumnDict([('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578830>), ('z', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5788c0>)]), multiindex=False, level_names=(None,))
+```
+
+Selecting columns by label:
+
+```python
+>>> ca.select_by_label(['y', 'z'])
+ColumnAccessor(OrderedColumnDict([('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578830>), ('z', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5788c0>)]), multiindex=False, level_names=(None,))
+>>> ca.select_by_label(slice('x', 'y'))
+ColumnAccessor(OrderedColumnDict([('x', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>), ('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578830>)]), multiindex=False, level_names=(None,))
+```
+
+A ColumnAccessor with tuple keys (and constructed with `multiindex=True`)
+can be hierarchically indexed:
+
+```python
+>>> ca = ColumnAccessor({('a', 'b'): [1, 2, 3], ('a', 'c'): [2, 3, 4], 'b': [4, 5, 6]}, multiindex=True)
+>>> ca.select_by_label('a')
+ColumnAccessor(OrderedColumnDict([('b', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>), ('c', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d578dd0>)]), multiindex=False, level_names=(None,))
+>>> ca.select_by_label(('a', 'b'))
+ColumnAccessor(OrderedColumnDict([(('a', 'b'), <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>)]), multiindex=False, level_names=(None,))
+```
+
+"Wildcard" indexing is also allowed:
+
+```python
+>>> ca = ColumnAccessor({('a', 'b'): [1, 2, 3], ('a', 'c'): [2, 3, 4], ('d', 'b'): [4, 5, 6]}, multiindex=True)
+>>> ca.select_by_label((slice(None), 'b'))
+ColumnAccessor(OrderedColumnDict([(('a', 'b'), <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d578830>), (('d', 'b'), <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d578680>)]), multiindex=True, level_names=(None, None))
+```
+
+Finally, ColumnAccessors can convert to Pandas `Index` or `MultiIndex` objects:
+
+```python
+>>> ca.to_pandas_index()
+MultiIndex([('a', 'b'),
+            ('a', 'c'),
+            ('d', 'b')],
+           )
+```
diff --git a/docs/cudf/source/basics/io-supported-types.rst b/docs/cudf/source/basics/io-supported-types.rst
new file mode 100644
index 00000000000..e09e155ef92
--- /dev/null
+++ b/docs/cudf/source/basics/io-supported-types.rst
@@ -0,0 +1,62 @@
+I/O Supported dtypes
+====================
+
+The following table lists are compatible cudf types for each supported IO format.
+
+.. rst-class:: io-supported-types-table
+.. table::
+    :widths: 15 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
+
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+-----------------+--------+--------+--------+--------+
+    |                       |       CSV       |      Parquet    |      JSON       |       ORC       |  AVRO  |       HDF       |       DLPack    |      Feather    |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | Data Type             | Writer | Reader | Writer | Reader | Writer | Reader | Writer | Reader | Reader | Writer | Reader | Writer | Reader | Writer | Reader |
+    +=======================+========+========+========+========+========+========+========+========+========+========+========+========+========+========+========+
+    | int8                  | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | int16                 | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | int32                 | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | int64                 | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | uint8                 | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ✅     | ❌     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | uint16                | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ✅     | ❌     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | uint32                | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ✅     | ❌     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | uint64                | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | float32               | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | float64               | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | bool                  | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | str                   | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | category              | ✅     | ❌     | ❌     | ❌     | ✅     | ❌     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | list                  | ❌     | ❌     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | timedelta64[s]        | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | timedelta64[ms]       | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | timedelta64[us]       | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | timedelta64[ns]       | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | datetime64[s]         | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | datetime64[ms]        | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | datetime64[us]        | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | datetime64[ns]        | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | struct                | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    | decimal               | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     |
+    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
diff --git a/docs/cudf/source/basics/io.rst b/docs/cudf/source/basics/io.rst
new file mode 100644
index 00000000000..5186473ae10
--- /dev/null
+++ b/docs/cudf/source/basics/io.rst
@@ -0,0 +1,11 @@
+~~~~~~~~~~~~~~
+Input / Output
+~~~~~~~~~~~~~~
+
+This page contains Input / Output related APIs in cuDF.
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Contents:
+
+   io-supported-types.rst
\ No newline at end of file
diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index 18ffbacca1f..eac1d36d7aa 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -52,7 +52,7 @@
 
 
 copybutton_prompt_text = ">>> "
-
+autosummary_generate = True
 ipython_mplbackend = "str"
 
 # Add any paths that contain templates here, relative to this directory.
@@ -77,9 +77,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.20'
+version = "0.20"
 # The full version, including alpha/beta/rc tags.
-release = '0.20.0'
+release = "0.20.0"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -99,27 +99,33 @@
 # If true, `todo` and `todoList` produce output, else they produce nothing.
 todo_include_todos = False
 
+html_theme_options = {
+    "external_links": [],
+    "github_url": "https://github.com/rapidsai/cudf",
+    "twitter_url": "https://twitter.com/rapidsai",
+    "show_toc_level": 1,
+    "navbar_align": "right",
+}
 
-# -- Options for HTML output ----------------------------------------------
 
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
 #
 
-html_theme = "sphinx_rtd_theme"
-
+html_theme = "pydata_sphinx_theme"
+html_logo = "_static/RAPIDS-logo-purple.png"
 # on_rtd is whether we are on readthedocs.org
 on_rtd = os.environ.get("READTHEDOCS", None) == "True"
 
-if not on_rtd:
-    # only import and set the theme if we're building docs locally
-    # otherwise, readthedocs.org uses their theme by default,
-    # so no need to specify it
-    import sphinx_rtd_theme
-
-    html_theme = "sphinx_rtd_theme"
-    html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
-
+# if not on_rtd:
+#     # only import and set the theme if we're building docs locally
+#     # otherwise, readthedocs.org uses their theme by default,
+#     # so no need to specify it
+#     import sphinx_rtd_theme
+#
+#     html_theme = "pydata_sphinx_theme"
+#     # html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
+#
 
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the
diff --git a/docs/cudf/source/cudf.DataFrame.drop.rst b/docs/cudf/source/cudf.DataFrame.drop.rst
new file mode 100644
index 00000000000..6d46566674d
--- /dev/null
+++ b/docs/cudf/source/cudf.DataFrame.drop.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.drop
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/cudf.DataFrame.where.rst b/docs/cudf/source/cudf.DataFrame.where.rst
new file mode 100644
index 00000000000..c2035bf11b0
--- /dev/null
+++ b/docs/cudf/source/cudf.DataFrame.where.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.where
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.where
\ No newline at end of file
diff --git a/docs/cudf/source/generated/cudf.DataFrame.drop.rst b/docs/cudf/source/generated/cudf.DataFrame.drop.rst
new file mode 100644
index 00000000000..6d46566674d
--- /dev/null
+++ b/docs/cudf/source/generated/cudf.DataFrame.drop.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.drop
+===================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/generated/cudf.DataFrame.where.rst b/docs/cudf/source/generated/cudf.DataFrame.where.rst
new file mode 100644
index 00000000000..c2035bf11b0
--- /dev/null
+++ b/docs/cudf/source/generated/cudf.DataFrame.where.rst
@@ -0,0 +1,6 @@
+cudf.DataFrame.where
+====================
+
+.. currentmodule:: cudf
+
+.. automethod:: DataFrame.where
\ No newline at end of file
diff --git a/docs/cudf/source/generated/pandas.DataFrame.drop.rst b/docs/cudf/source/generated/pandas.DataFrame.drop.rst
new file mode 100644
index 00000000000..9ee305369db
--- /dev/null
+++ b/docs/cudf/source/generated/pandas.DataFrame.drop.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.drop
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/generated/pandas.DataFrame.groupby.rst b/docs/cudf/source/generated/pandas.DataFrame.groupby.rst
new file mode 100644
index 00000000000..f8872657308
--- /dev/null
+++ b/docs/cudf/source/generated/pandas.DataFrame.groupby.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.groupby
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/generated/pandas.Series.array.rst b/docs/cudf/source/generated/pandas.Series.array.rst
new file mode 100644
index 00000000000..e0954c01d1a
--- /dev/null
+++ b/docs/cudf/source/generated/pandas.Series.array.rst
@@ -0,0 +1,6 @@
+pandas.Series.array
+===================
+
+.. currentmodule:: pandas
+
+.. autoproperty:: Series.array
\ No newline at end of file
diff --git a/docs/cudf/source/index.rst b/docs/cudf/source/index.rst
index bba0ed824b1..950694f69a7 100644
--- a/docs/cudf/source/index.rst
+++ b/docs/cudf/source/index.rst
@@ -1,20 +1,16 @@
 Welcome to cuDF's documentation!
 =================================
 
+<This is a doc page...>
+
 .. toctree::
    :maxdepth: 2
    :caption: Contents:
 
-   api.rst
-   10min.ipynb
-   basics.rst
-   io.rst
-   groupby.md
-   dask-cudf.md
-   10min-cudf-cupy.ipynb
-   guide-to-udfs.ipynb
-   internals.md
-   Working-with-missing-data.ipynb
+   user_guide/index
+   basics/index
+   api_docs/index
+
 
 Indices and tables
 ==================
diff --git a/docs/cudf/source/pandas.DataFrame.drop.rst b/docs/cudf/source/pandas.DataFrame.drop.rst
new file mode 100644
index 00000000000..9ee305369db
--- /dev/null
+++ b/docs/cudf/source/pandas.DataFrame.drop.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.drop
+=====================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/pandas.DataFrame.groupby.rst b/docs/cudf/source/pandas.DataFrame.groupby.rst
new file mode 100644
index 00000000000..f8872657308
--- /dev/null
+++ b/docs/cudf/source/pandas.DataFrame.groupby.rst
@@ -0,0 +1,6 @@
+pandas.DataFrame.groupby
+========================
+
+.. currentmodule:: pandas
+
+.. automethod:: DataFrame.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/user_guide/10min-cudf-cupy.ipynb b/docs/cudf/source/user_guide/10min-cudf-cupy.ipynb
new file mode 100644
index 00000000000..0985291f3c2
--- /dev/null
+++ b/docs/cudf/source/user_guide/10min-cudf-cupy.ipynb
@@ -0,0 +1,1334 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 10 Minutes to cuDF and CuPy\n",
+    "\n",
+    "This notebook provides introductory examples of how you can use cuDF and CuPy together to take advantage of CuPy array functionality (such as advanced linear algebra operations)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import timeit\n",
+    "\n",
+    "import cupy as cp\n",
+    "import cudf"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Converting a cuDF DataFrame to a CuPy Array\n",
+    "\n",
+    "If we want to convert a cuDF DataFrame to a CuPy ndarray, There are multiple ways to do it:\n",
+    "\n",
+    "1. We can use the [dlpack](https://github.com/dmlc/dlpack) interface.\n",
+    "\n",
+    "2. We can also use `DataFrame.values`.\n",
+    "\n",
+    "3. We can also convert via the [CUDA array interface](https://numba.pydata.org/numba-doc/dev/cuda/cuda_array_interface.html) by using cuDF's `as_gpu_matrix` and CuPy's `asarray` functionality."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "44.1 µs ± 689 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n",
+      "209 µs ± 2.77 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n",
+      "208 µs ± 3.14 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "nelem = 10000\n",
+    "df = cudf.DataFrame({'a':range(nelem),\n",
+    "                     'b':range(500, nelem + 500),\n",
+    "                     'c':range(1000, nelem + 1000)}\n",
+    "                   )\n",
+    "\n",
+    "%timeit arr_cupy = cp.fromDlpack(df.to_dlpack())\n",
+    "%timeit arr_cupy = df.values\n",
+    "%timeit arr_cupy = cp.asarray(df.as_gpu_matrix())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[    0,   500,  1000],\n",
+       "       [    1,   501,  1001],\n",
+       "       [    2,   502,  1002],\n",
+       "       ...,\n",
+       "       [ 9997, 10497, 10997],\n",
+       "       [ 9998, 10498, 10998],\n",
+       "       [ 9999, 10499, 10999]])"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arr_cupy = cp.fromDlpack(df.to_dlpack())\n",
+    "arr_cupy"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Converting a cuDF Series to a CuPy Array"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There are also multiple ways to convert a cuDF Series to a CuPy array:\n",
+    "\n",
+    "1. We can pass the Series to `cupy.asarray` as cuDF Series exposes [`__cuda_array_interface__`](https://docs-cupy.chainer.org/en/stable/reference/interoperability.html).\n",
+    "2. We can leverage the dlpack interface `to_dlpack()`. \n",
+    "3. We can also use `Series.values` \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "22.1 µs ± 518 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n",
+      "58.3 µs ± 647 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n",
+      "80.2 µs ± 647 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "col = 'a'\n",
+    "\n",
+    "%timeit cola_cupy = cp.asarray(df[col])\n",
+    "%timeit cola_cupy = cp.fromDlpack(df[col].to_dlpack())\n",
+    "%timeit cola_cupy = df[col].values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([   0,    1,    2, ..., 9997, 9998, 9999])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cola_cupy = cp.asarray(df[col])\n",
+    "cola_cupy"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "From here, we can proceed with normal CuPy workflows, such as reshaping the array, getting the diagonal, or calculating the norm."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[   0,    1,    2, ...,  197,  198,  199],\n",
+       "       [ 200,  201,  202, ...,  397,  398,  399],\n",
+       "       [ 400,  401,  402, ...,  597,  598,  599],\n",
+       "       ...,\n",
+       "       [9400, 9401, 9402, ..., 9597, 9598, 9599],\n",
+       "       [9600, 9601, 9602, ..., 9797, 9798, 9799],\n",
+       "       [9800, 9801, 9802, ..., 9997, 9998, 9999]])"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reshaped_arr = cola_cupy.reshape(50, 200)\n",
+    "reshaped_arr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([   0,  201,  402,  603,  804, 1005, 1206, 1407, 1608, 1809, 2010,\n",
+       "       2211, 2412, 2613, 2814, 3015, 3216, 3417, 3618, 3819, 4020, 4221,\n",
+       "       4422, 4623, 4824, 5025, 5226, 5427, 5628, 5829, 6030, 6231, 6432,\n",
+       "       6633, 6834, 7035, 7236, 7437, 7638, 7839, 8040, 8241, 8442, 8643,\n",
+       "       8844, 9045, 9246, 9447, 9648, 9849])"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reshaped_arr.diagonal()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(577306.967739)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cp.linalg.norm(reshaped_arr)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Converting a CuPy Array to a cuDF DataFrame\n",
+    "\n",
+    "We can also convert a CuPy ndarray to a cuDF DataFrame. Like before, there are multiple ways to do it:\n",
+    "\n",
+    "1. **Easiest;** We can directly use the `DataFrame` constructor.\n",
+    "\n",
+    "2. We can use CUDA array interface with the `DataFrame` constructor.\n",
+    "\n",
+    "3. We can also use the [dlpack](https://github.com/dmlc/dlpack) interface.\n",
+    "\n",
+    "For the latter two cases, we'll need to make sure that our CuPy array is Fortran contiguous in memory (if it's not already). We can either transpose the array or simply coerce it to be Fortran contiguous beforehand."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "13.1 ms ± 193 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "%timeit reshaped_df = cudf.DataFrame(reshaped_arr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "      <th>191</th>\n",
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+       "      <td>9</td>\n",
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+       "      <td>191</td>\n",
+       "      <td>192</td>\n",
+       "      <td>193</td>\n",
+       "      <td>194</td>\n",
+       "      <td>195</td>\n",
+       "      <td>196</td>\n",
+       "      <td>197</td>\n",
+       "      <td>198</td>\n",
+       "      <td>199</td>\n",
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+       "    <tr>\n",
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+       "      <td>201</td>\n",
+       "      <td>202</td>\n",
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+       "      <td>204</td>\n",
+       "      <td>205</td>\n",
+       "      <td>206</td>\n",
+       "      <td>207</td>\n",
+       "      <td>208</td>\n",
+       "      <td>209</td>\n",
+       "      <td>...</td>\n",
+       "      <td>390</td>\n",
+       "      <td>391</td>\n",
+       "      <td>392</td>\n",
+       "      <td>393</td>\n",
+       "      <td>394</td>\n",
+       "      <td>395</td>\n",
+       "      <td>396</td>\n",
+       "      <td>397</td>\n",
+       "      <td>398</td>\n",
+       "      <td>399</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>400</td>\n",
+       "      <td>401</td>\n",
+       "      <td>402</td>\n",
+       "      <td>403</td>\n",
+       "      <td>404</td>\n",
+       "      <td>405</td>\n",
+       "      <td>406</td>\n",
+       "      <td>407</td>\n",
+       "      <td>408</td>\n",
+       "      <td>409</td>\n",
+       "      <td>...</td>\n",
+       "      <td>590</td>\n",
+       "      <td>591</td>\n",
+       "      <td>592</td>\n",
+       "      <td>593</td>\n",
+       "      <td>594</td>\n",
+       "      <td>595</td>\n",
+       "      <td>596</td>\n",
+       "      <td>597</td>\n",
+       "      <td>598</td>\n",
+       "      <td>599</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>600</td>\n",
+       "      <td>601</td>\n",
+       "      <td>602</td>\n",
+       "      <td>603</td>\n",
+       "      <td>604</td>\n",
+       "      <td>605</td>\n",
+       "      <td>606</td>\n",
+       "      <td>607</td>\n",
+       "      <td>608</td>\n",
+       "      <td>609</td>\n",
+       "      <td>...</td>\n",
+       "      <td>790</td>\n",
+       "      <td>791</td>\n",
+       "      <td>792</td>\n",
+       "      <td>793</td>\n",
+       "      <td>794</td>\n",
+       "      <td>795</td>\n",
+       "      <td>796</td>\n",
+       "      <td>797</td>\n",
+       "      <td>798</td>\n",
+       "      <td>799</td>\n",
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+       "    <tr>\n",
+       "      <th>4</th>\n",
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+       "      <td>801</td>\n",
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+       "      <td>803</td>\n",
+       "      <td>804</td>\n",
+       "      <td>805</td>\n",
+       "      <td>806</td>\n",
+       "      <td>807</td>\n",
+       "      <td>808</td>\n",
+       "      <td>809</td>\n",
+       "      <td>...</td>\n",
+       "      <td>990</td>\n",
+       "      <td>991</td>\n",
+       "      <td>992</td>\n",
+       "      <td>993</td>\n",
+       "      <td>994</td>\n",
+       "      <td>995</td>\n",
+       "      <td>996</td>\n",
+       "      <td>997</td>\n",
+       "      <td>998</td>\n",
+       "      <td>999</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 200 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   0    1    2    3    4    5    6    7    8    9    ...  190  191  192  193  \\\n",
+       "0    0    1    2    3    4    5    6    7    8    9  ...  190  191  192  193   \n",
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+       "2  400  401  402  403  404  405  406  407  408  409  ...  590  591  592  593   \n",
+       "3  600  601  602  603  604  605  606  607  608  609  ...  790  791  792  793   \n",
+       "4  800  801  802  803  804  805  806  807  808  809  ...  990  991  992  993   \n",
+       "\n",
+       "   194  195  196  197  198  199  \n",
+       "0  194  195  196  197  198  199  \n",
+       "1  394  395  396  397  398  399  \n",
+       "2  594  595  596  597  598  599  \n",
+       "3  794  795  796  797  798  799  \n",
+       "4  994  995  996  997  998  999  \n",
+       "\n",
+       "[5 rows x 200 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reshaped_df = cudf.DataFrame(reshaped_arr)\n",
+    "reshaped_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can check whether our array is Fortran contiguous by using cupy.isfortran or looking at the [flags](https://docs-cupy.chainer.org/en/stable/reference/generated/cupy.ndarray.html#cupy.ndarray.flags) of the array."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cp.isfortran(reshaped_arr)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this case, we'll need to convert it before going to a cuDF DataFrame. In the next two cells, we create the DataFrame by leveraging dlpack and the CUDA array interface, respectively."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4.9 ms ± 26.4 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%timeit\n",
+    "\n",
+    "fortran_arr = cp.asfortranarray(reshaped_arr)\n",
+    "reshaped_df = cudf.DataFrame(fortran_arr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "5.1 ms ± 23.3 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%timeit\n",
+    "\n",
+    "fortran_arr = cp.asfortranarray(reshaped_arr)\n",
+    "reshaped_df = cudf.from_dlpack(fortran_arr.toDlpack())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "      <td>205</td>\n",
+       "      <td>206</td>\n",
+       "      <td>207</td>\n",
+       "      <td>208</td>\n",
+       "      <td>209</td>\n",
+       "      <td>...</td>\n",
+       "      <td>390</td>\n",
+       "      <td>391</td>\n",
+       "      <td>392</td>\n",
+       "      <td>393</td>\n",
+       "      <td>394</td>\n",
+       "      <td>395</td>\n",
+       "      <td>396</td>\n",
+       "      <td>397</td>\n",
+       "      <td>398</td>\n",
+       "      <td>399</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>400</td>\n",
+       "      <td>401</td>\n",
+       "      <td>402</td>\n",
+       "      <td>403</td>\n",
+       "      <td>404</td>\n",
+       "      <td>405</td>\n",
+       "      <td>406</td>\n",
+       "      <td>407</td>\n",
+       "      <td>408</td>\n",
+       "      <td>409</td>\n",
+       "      <td>...</td>\n",
+       "      <td>590</td>\n",
+       "      <td>591</td>\n",
+       "      <td>592</td>\n",
+       "      <td>593</td>\n",
+       "      <td>594</td>\n",
+       "      <td>595</td>\n",
+       "      <td>596</td>\n",
+       "      <td>597</td>\n",
+       "      <td>598</td>\n",
+       "      <td>599</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>600</td>\n",
+       "      <td>601</td>\n",
+       "      <td>602</td>\n",
+       "      <td>603</td>\n",
+       "      <td>604</td>\n",
+       "      <td>605</td>\n",
+       "      <td>606</td>\n",
+       "      <td>607</td>\n",
+       "      <td>608</td>\n",
+       "      <td>609</td>\n",
+       "      <td>...</td>\n",
+       "      <td>790</td>\n",
+       "      <td>791</td>\n",
+       "      <td>792</td>\n",
+       "      <td>793</td>\n",
+       "      <td>794</td>\n",
+       "      <td>795</td>\n",
+       "      <td>796</td>\n",
+       "      <td>797</td>\n",
+       "      <td>798</td>\n",
+       "      <td>799</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>800</td>\n",
+       "      <td>801</td>\n",
+       "      <td>802</td>\n",
+       "      <td>803</td>\n",
+       "      <td>804</td>\n",
+       "      <td>805</td>\n",
+       "      <td>806</td>\n",
+       "      <td>807</td>\n",
+       "      <td>808</td>\n",
+       "      <td>809</td>\n",
+       "      <td>...</td>\n",
+       "      <td>990</td>\n",
+       "      <td>991</td>\n",
+       "      <td>992</td>\n",
+       "      <td>993</td>\n",
+       "      <td>994</td>\n",
+       "      <td>995</td>\n",
+       "      <td>996</td>\n",
+       "      <td>997</td>\n",
+       "      <td>998</td>\n",
+       "      <td>999</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 200 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   0    1    2    3    4    5    6    7    8    9    ...  190  191  192  193  \\\n",
+       "0    0    1    2    3    4    5    6    7    8    9  ...  190  191  192  193   \n",
+       "1  200  201  202  203  204  205  206  207  208  209  ...  390  391  392  393   \n",
+       "2  400  401  402  403  404  405  406  407  408  409  ...  590  591  592  593   \n",
+       "3  600  601  602  603  604  605  606  607  608  609  ...  790  791  792  793   \n",
+       "4  800  801  802  803  804  805  806  807  808  809  ...  990  991  992  993   \n",
+       "\n",
+       "   194  195  196  197  198  199  \n",
+       "0  194  195  196  197  198  199  \n",
+       "1  394  395  396  397  398  399  \n",
+       "2  594  595  596  597  598  599  \n",
+       "3  794  795  796  797  798  799  \n",
+       "4  994  995  996  997  998  999  \n",
+       "\n",
+       "[5 rows x 200 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fortran_arr = cp.asfortranarray(reshaped_arr)\n",
+    "reshaped_df = cudf.DataFrame(fortran_arr)\n",
+    "reshaped_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Converting a CuPy Array to a cuDF Series\n",
+    "\n",
+    "To convert an array to a Series, we can directly pass the array to the `Series` constructor."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0      0\n",
+       "1    201\n",
+       "2    402\n",
+       "3    603\n",
+       "4    804\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cudf.Series(reshaped_arr.diagonal()).head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Interweaving CuDF and CuPy for Smooth PyData Workflows\n",
+    "\n",
+    "RAPIDS libraries and the entire GPU PyData ecosystem are developing quickly, but sometimes a one library may not have the functionality you need. One example of this might be taking the row-wise sum (or mean) of a Pandas DataFrame. cuDF's support for row-wise operations isn't mature, so you'd need to either transpose the DataFrame or write a UDF and explicitly calculate the sum across each row. Transposing could lead to hundreds of thousands of columns (which cuDF wouldn't perform well with) depending on your data's shape, and writing a UDF can be time intensive.\n",
+    "\n",
+    "By leveraging the interoperability of the GPU PyData ecosystem, this operation becomes very easy. Let's take the row-wise sum of our previously reshaped cuDF DataFrame."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
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+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>190</th>\n",
+       "      <th>191</th>\n",
+       "      <th>192</th>\n",
+       "      <th>193</th>\n",
+       "      <th>194</th>\n",
+       "      <th>195</th>\n",
+       "      <th>196</th>\n",
+       "      <th>197</th>\n",
+       "      <th>198</th>\n",
+       "      <th>199</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>5</td>\n",
+       "      <td>6</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8</td>\n",
+       "      <td>9</td>\n",
+       "      <td>...</td>\n",
+       "      <td>190</td>\n",
+       "      <td>191</td>\n",
+       "      <td>192</td>\n",
+       "      <td>193</td>\n",
+       "      <td>194</td>\n",
+       "      <td>195</td>\n",
+       "      <td>196</td>\n",
+       "      <td>197</td>\n",
+       "      <td>198</td>\n",
+       "      <td>199</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>200</td>\n",
+       "      <td>201</td>\n",
+       "      <td>202</td>\n",
+       "      <td>203</td>\n",
+       "      <td>204</td>\n",
+       "      <td>205</td>\n",
+       "      <td>206</td>\n",
+       "      <td>207</td>\n",
+       "      <td>208</td>\n",
+       "      <td>209</td>\n",
+       "      <td>...</td>\n",
+       "      <td>390</td>\n",
+       "      <td>391</td>\n",
+       "      <td>392</td>\n",
+       "      <td>393</td>\n",
+       "      <td>394</td>\n",
+       "      <td>395</td>\n",
+       "      <td>396</td>\n",
+       "      <td>397</td>\n",
+       "      <td>398</td>\n",
+       "      <td>399</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>400</td>\n",
+       "      <td>401</td>\n",
+       "      <td>402</td>\n",
+       "      <td>403</td>\n",
+       "      <td>404</td>\n",
+       "      <td>405</td>\n",
+       "      <td>406</td>\n",
+       "      <td>407</td>\n",
+       "      <td>408</td>\n",
+       "      <td>409</td>\n",
+       "      <td>...</td>\n",
+       "      <td>590</td>\n",
+       "      <td>591</td>\n",
+       "      <td>592</td>\n",
+       "      <td>593</td>\n",
+       "      <td>594</td>\n",
+       "      <td>595</td>\n",
+       "      <td>596</td>\n",
+       "      <td>597</td>\n",
+       "      <td>598</td>\n",
+       "      <td>599</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>600</td>\n",
+       "      <td>601</td>\n",
+       "      <td>602</td>\n",
+       "      <td>603</td>\n",
+       "      <td>604</td>\n",
+       "      <td>605</td>\n",
+       "      <td>606</td>\n",
+       "      <td>607</td>\n",
+       "      <td>608</td>\n",
+       "      <td>609</td>\n",
+       "      <td>...</td>\n",
+       "      <td>790</td>\n",
+       "      <td>791</td>\n",
+       "      <td>792</td>\n",
+       "      <td>793</td>\n",
+       "      <td>794</td>\n",
+       "      <td>795</td>\n",
+       "      <td>796</td>\n",
+       "      <td>797</td>\n",
+       "      <td>798</td>\n",
+       "      <td>799</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>800</td>\n",
+       "      <td>801</td>\n",
+       "      <td>802</td>\n",
+       "      <td>803</td>\n",
+       "      <td>804</td>\n",
+       "      <td>805</td>\n",
+       "      <td>806</td>\n",
+       "      <td>807</td>\n",
+       "      <td>808</td>\n",
+       "      <td>809</td>\n",
+       "      <td>...</td>\n",
+       "      <td>990</td>\n",
+       "      <td>991</td>\n",
+       "      <td>992</td>\n",
+       "      <td>993</td>\n",
+       "      <td>994</td>\n",
+       "      <td>995</td>\n",
+       "      <td>996</td>\n",
+       "      <td>997</td>\n",
+       "      <td>998</td>\n",
+       "      <td>999</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 200 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   0    1    2    3    4    5    6    7    8    9    ...  190  191  192  193  \\\n",
+       "0    0    1    2    3    4    5    6    7    8    9  ...  190  191  192  193   \n",
+       "1  200  201  202  203  204  205  206  207  208  209  ...  390  391  392  393   \n",
+       "2  400  401  402  403  404  405  406  407  408  409  ...  590  591  592  593   \n",
+       "3  600  601  602  603  604  605  606  607  608  609  ...  790  791  792  793   \n",
+       "4  800  801  802  803  804  805  806  807  808  809  ...  990  991  992  993   \n",
+       "\n",
+       "   194  195  196  197  198  199  \n",
+       "0  194  195  196  197  198  199  \n",
+       "1  394  395  396  397  398  399  \n",
+       "2  594  595  596  597  598  599  \n",
+       "3  794  795  796  797  798  799  \n",
+       "4  994  995  996  997  998  999  \n",
+       "\n",
+       "[5 rows x 200 columns]"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reshaped_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can just transform it into a CuPy array and use the `axis` argument of `sum`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([  19900,   59900,   99900,  139900,  179900,  219900,  259900,\n",
+       "        299900,  339900,  379900,  419900,  459900,  499900,  539900,\n",
+       "        579900,  619900,  659900,  699900,  739900,  779900,  819900,\n",
+       "        859900,  899900,  939900,  979900, 1019900, 1059900, 1099900,\n",
+       "       1139900, 1179900, 1219900, 1259900, 1299900, 1339900, 1379900,\n",
+       "       1419900, 1459900, 1499900, 1539900, 1579900, 1619900, 1659900,\n",
+       "       1699900, 1739900, 1779900, 1819900, 1859900, 1899900, 1939900,\n",
+       "       1979900])"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_arr = cp.fromDlpack(reshaped_df.to_dlpack())\n",
+    "new_arr.sum(axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With just that single line, we're able to seamlessly move between data structures in this ecosystem, giving us enormous flexibility without sacrificing speed."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Converting a cuDF DataFrame to a CuPy Sparse Matrix\n",
+    "\n",
+    "We can also convert a DataFrame or Series to a CuPy sparse matrix. We might want to do this if downstream processes expect CuPy sparse matrices as an input.\n",
+    "\n",
+    "The sparse matrix data structure is defined by three dense arrays. We'll define a small helper function for cleanliness."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def cudf_to_cupy_sparse_matrix(data, sparseformat='column'):\n",
+    "    \"\"\"Converts a cuDF object to a CuPy Sparse Column matrix.\n",
+    "    \"\"\"\n",
+    "    if sparseformat not in ('row', 'column',):\n",
+    "        raise ValueError(\"Let's focus on column and row formats for now.\")\n",
+    "    \n",
+    "    _sparse_constructor = cp.sparse.csc_matrix\n",
+    "    if sparseformat == 'row':\n",
+    "        _sparse_constructor = cp.sparse.csr_matrix\n",
+    "\n",
+    "    return _sparse_constructor(cp.fromDlpack(data.to_dlpack()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can define a sparsely populated DataFrame to illustrate this conversion to either sparse matrix format."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = cudf.DataFrame()\n",
+    "nelem = 10000\n",
+    "nonzero = 1000\n",
+    "for i in range(20):\n",
+    "    arr = cp.random.normal(5, 5, nelem)\n",
+    "    arr[cp.random.choice(arr.shape[0], nelem-nonzero, replace=False)] = 0\n",
+    "    df['a' + str(i)] = arr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a0</th>\n",
+       "      <th>a1</th>\n",
+       "      <th>a2</th>\n",
+       "      <th>a3</th>\n",
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+       "      <th>a5</th>\n",
+       "      <th>a6</th>\n",
+       "      <th>a7</th>\n",
+       "      <th>a8</th>\n",
+       "      <th>a9</th>\n",
+       "      <th>a10</th>\n",
+       "      <th>a11</th>\n",
+       "      <th>a12</th>\n",
+       "      <th>a13</th>\n",
+       "      <th>a14</th>\n",
+       "      <th>a15</th>\n",
+       "      <th>a16</th>\n",
+       "      <th>a17</th>\n",
+       "      <th>a18</th>\n",
+       "      <th>a19</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
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+       "      <td>0.0</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>16.822959</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>1</th>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.618972</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.25678</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.715802</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.296568</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.865495</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    a0   a1        a2   a3   a4   a5   a6   a7   a8   a9       a10      a11  \\\n",
+       "0  0.0  0.0  0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000  0.00000   \n",
+       "1  0.0  0.0  0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000  0.00000   \n",
+       "2  0.0  0.0  6.618972  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000  2.25678   \n",
+       "3  0.0  0.0  0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000  0.00000   \n",
+       "4  0.0  0.0  0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  4.296568  0.00000   \n",
+       "\n",
+       "   a12        a13  a14       a15  a16  a17  a18       a19  \n",
+       "0  0.0  16.822959  0.0  0.000000  0.0  0.0  0.0  0.000000  \n",
+       "1  0.0   0.000000  0.0  0.000000  0.0  0.0  0.0  0.000000  \n",
+       "2  0.0   0.000000  0.0  0.000000  0.0  0.0  0.0  0.000000  \n",
+       "3  0.0   0.000000  0.0  2.715802  0.0  0.0  0.0  0.000000  \n",
+       "4  0.0   0.000000  0.0  0.000000  0.0  0.0  0.0  4.865495  "
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<cupyx.scipy.sparse.csc.csc_matrix at 0x7f25e49466a0>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sparse_data = cudf_to_cupy_sparse_matrix(df)\n",
+    "sparse_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "From here, we could continue our workflow with a CuPy sparse matrix.\n",
+    "\n",
+    "For a full list of the functionality built into these libraries, we encourage you to check out the API docs for [cuDF](https://docs.rapids.ai/api/cudf/nightly/) and [CuPy](https://docs-cupy.chainer.org/en/stable/index.html)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
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+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/cudf/source/user_guide/10min.ipynb b/docs/cudf/source/user_guide/10min.ipynb
new file mode 100644
index 00000000000..d31a3b426d7
--- /dev/null
+++ b/docs/cudf/source/user_guide/10min.ipynb
@@ -0,0 +1,6487 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "10 Minutes to cuDF and Dask-cuDF\n",
+    "=======================\n",
+    "\n",
+    "Modeled after 10 Minutes to Pandas, this is a short introduction to cuDF and Dask-cuDF, geared mainly for new users.\n",
+    "\n",
+    "### What are these Libraries?\n",
+    "\n",
+    "[cuDF](https://github.com/rapidsai/cudf) is a Python GPU DataFrame library (built on the Apache Arrow columnar memory format) for loading, joining, aggregating, filtering, and otherwise manipulating tabular data using a DataFrame style API.\n",
+    "\n",
+    "[Dask](https://dask.org/) is a flexible library for parallel computing in Python that makes scaling out your workflow smooth and simple. On the CPU, Dask uses Pandas to execute operations in parallel on DataFrame partitions.\n",
+    "\n",
+    "[Dask-cuDF](https://github.com/rapidsai/cudf/tree/main/python/dask_cudf) extends Dask where necessary to allow its DataFrame partitions to be processed by cuDF GPU DataFrames as opposed to Pandas DataFrames. For instance, when you call dask_cudf.read_csv(...), your cluster’s GPUs do the work of parsing the CSV file(s) with underlying cudf.read_csv().\n",
+    "\n",
+    "\n",
+    "### When to use cuDF and Dask-cuDF\n",
+    "\n",
+    "If your workflow is fast enough on a single GPU or your data comfortably fits in memory on a single GPU, you would want to use cuDF. If you want to distribute your workflow across multiple GPUs, have more data than you can fit in memory on a single GPU, or want to analyze data spread across many files at once, you would want to use Dask-cuDF."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import cupy as cp\n",
+    "import pandas as pd\n",
+    "import cudf\n",
+    "import dask_cudf\n",
+    "\n",
+    "cp.random.seed(12)\n",
+    "\n",
+    "#### Portions of this were borrowed and adapted from the\n",
+    "#### cuDF cheatsheet, existing cuDF documentation,\n",
+    "#### and 10 Minutes to Pandas."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Object Creation\n",
+    "---------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Creating a `cudf.Series` and `dask_cudf.Series`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1       2\n",
+       "2       3\n",
+       "3    null\n",
+       "4       4\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = cudf.Series([1,2,3,None,4])\n",
+    "s"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1       2\n",
+       "2       3\n",
+       "3    null\n",
+       "4       4\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds = dask_cudf.from_cudf(s, npartitions=2) \n",
+    "ds.compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Creating a `cudf.DataFrame` and a `dask_cudf.DataFrame` by specifying values for each column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a   b   c\n",
+       "0    0  19   0\n",
+       "1    1  18   1\n",
+       "2    2  17   2\n",
+       "3    3  16   3\n",
+       "4    4  15   4\n",
+       "5    5  14   5\n",
+       "6    6  13   6\n",
+       "7    7  12   7\n",
+       "8    8  11   8\n",
+       "9    9  10   9\n",
+       "10  10   9  10\n",
+       "11  11   8  11\n",
+       "12  12   7  12\n",
+       "13  13   6  13\n",
+       "14  14   5  14\n",
+       "15  15   4  15\n",
+       "16  16   3  16\n",
+       "17  17   2  17\n",
+       "18  18   1  18\n",
+       "19  19   0  19"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = cudf.DataFrame({'a': list(range(20)),\n",
+    "                     'b': list(reversed(range(20))),\n",
+    "                     'c': list(range(20))\n",
+    "                    })\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a   b   c\n",
+       "0    0  19   0\n",
+       "1    1  18   1\n",
+       "2    2  17   2\n",
+       "3    3  16   3\n",
+       "4    4  15   4\n",
+       "5    5  14   5\n",
+       "6    6  13   6\n",
+       "7    7  12   7\n",
+       "8    8  11   8\n",
+       "9    9  10   9\n",
+       "10  10   9  10\n",
+       "11  11   8  11\n",
+       "12  12   7  12\n",
+       "13  13   6  13\n",
+       "14  14   5  14\n",
+       "15  15   4  15\n",
+       "16  16   3  16\n",
+       "17  17   2  17\n",
+       "18  18   1  18\n",
+       "19  19   0  19"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf = dask_cudf.from_cudf(df, npartitions=2) \n",
+    "ddf.compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Creating a `cudf.DataFrame` from a pandas `Dataframe` and a `dask_cudf.Dataframe` from a `cudf.Dataframe`.\n",
+    "\n",
+    "*Note that best practice for using Dask-cuDF is to read data directly into a `dask_cudf.DataFrame` with something like `read_csv` (discussed below).*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0.3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a     b\n",
+       "0  0   0.1\n",
+       "1  1   0.2\n",
+       "2  2  null\n",
+       "3  3   0.3"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pdf = pd.DataFrame({'a': [0, 1, 2, 3],'b': [0.1, 0.2, None, 0.3]})\n",
+    "gdf = cudf.DataFrame.from_pandas(pdf)\n",
+    "gdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0.3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a     b\n",
+       "0  0   0.1\n",
+       "1  1   0.2\n",
+       "2  2  null\n",
+       "3  3   0.3"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dask_gdf = dask_cudf.from_cudf(gdf, npartitions=2)\n",
+    "dask_gdf.compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Viewing Data\n",
+    "-------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Viewing the top rows of a GPU dataframe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "      <td>18</td>\n",
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+       "   a   b  c\n",
+       "0  0  19  0\n",
+       "1  1  18  1"
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+     "metadata": {},
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+   ],
+   "source": [
+    "df.head(2)"
+   ]
+  },
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+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
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+       "   a   b  c\n",
+       "0  0  19  0\n",
+       "1  1  18  1"
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+     "metadata": {},
+     "output_type": "execute_result"
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+   "source": [
+    "ddf.head(2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Sorting by values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
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+       "      <td>15</td>\n",
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+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
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+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>11</td>\n",
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+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
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+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a   b   c\n",
+       "19  19   0  19\n",
+       "18  18   1  18\n",
+       "17  17   2  17\n",
+       "16  16   3  16\n",
+       "15  15   4  15\n",
+       "14  14   5  14\n",
+       "13  13   6  13\n",
+       "12  12   7  12\n",
+       "11  11   8  11\n",
+       "10  10   9  10\n",
+       "9    9  10   9\n",
+       "8    8  11   8\n",
+       "7    7  12   7\n",
+       "6    6  13   6\n",
+       "5    5  14   5\n",
+       "4    4  15   4\n",
+       "3    3  16   3\n",
+       "2    2  17   2\n",
+       "1    1  18   1\n",
+       "0    0  19   0"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sort_values(by='b')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "      <th></th>\n",
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+       "      <th>16</th>\n",
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+       "      <th>15</th>\n",
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+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
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+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
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+       "      <th>12</th>\n",
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+       "      <td>12</td>\n",
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+       "      <th>11</th>\n",
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+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
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+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a   b   c\n",
+       "19  19   0  19\n",
+       "18  18   1  18\n",
+       "17  17   2  17\n",
+       "16  16   3  16\n",
+       "15  15   4  15\n",
+       "14  14   5  14\n",
+       "13  13   6  13\n",
+       "12  12   7  12\n",
+       "11  11   8  11\n",
+       "10  10   9  10\n",
+       "9    9  10   9\n",
+       "8    8  11   8\n",
+       "7    7  12   7\n",
+       "6    6  13   6\n",
+       "5    5  14   5\n",
+       "4    4  15   4\n",
+       "3    3  16   3\n",
+       "2    2  17   2\n",
+       "1    1  18   1\n",
+       "0    0  19   0"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf.sort_values(by='b').compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Selection\n",
+    "------------\n",
+    "\n",
+    "## Getting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Selecting a single column, which initially yields a `cudf.Series` or `dask_cudf.Series`. Calling `compute` results in a `cudf.Series` (equivalent to `df.a`)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0      0\n",
+       "1      1\n",
+       "2      2\n",
+       "3      3\n",
+       "4      4\n",
+       "5      5\n",
+       "6      6\n",
+       "7      7\n",
+       "8      8\n",
+       "9      9\n",
+       "10    10\n",
+       "11    11\n",
+       "12    12\n",
+       "13    13\n",
+       "14    14\n",
+       "15    15\n",
+       "16    16\n",
+       "17    17\n",
+       "18    18\n",
+       "19    19\n",
+       "Name: a, dtype: int64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['a']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0      0\n",
+       "1      1\n",
+       "2      2\n",
+       "3      3\n",
+       "4      4\n",
+       "5      5\n",
+       "6      6\n",
+       "7      7\n",
+       "8      8\n",
+       "9      9\n",
+       "10    10\n",
+       "11    11\n",
+       "12    12\n",
+       "13    13\n",
+       "14    14\n",
+       "15    15\n",
+       "16    16\n",
+       "17    17\n",
+       "18    18\n",
+       "19    19\n",
+       "Name: a, dtype: int64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf['a'].compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Selection by Label"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Selecting rows from index 2 to index 5 from columns 'a' and 'b'."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a   b\n",
+       "2  2  17\n",
+       "3  3  16\n",
+       "4  4  15\n",
+       "5  5  14"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.loc[2:5, ['a', 'b']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a   b\n",
+       "2  2  17\n",
+       "3  3  16\n",
+       "4  4  15\n",
+       "5  5  14"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf.loc[2:5, ['a', 'b']].compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Selection by Position"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Selecting via integers and integer slices, like numpy/pandas. Note that this functionality is not available for Dask-cuDF DataFrames."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "a     0\n",
+       "b    19\n",
+       "c     0\n",
+       "Name: 0, dtype: int64"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a   b\n",
+       "0  0  19\n",
+       "1  1  18\n",
+       "2  2  17"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[0:3, 0:2]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also select elements of a `DataFrame` or `Series` with direct index access."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a   b  c\n",
+       "3  3  16  3\n",
+       "4  4  15  4"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[3:5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3    null\n",
+       "4       4\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s[3:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Boolean Indexing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Selecting rows in a `DataFrame` or `Series` by direct Boolean indexing."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a   b  c\n",
+       "0  0  19  0\n",
+       "1  1  18  1\n",
+       "2  2  17  2\n",
+       "3  3  16  3"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[df.b > 15]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a   b  c\n",
+       "0  0  19  0\n",
+       "1  1  18  1\n",
+       "2  2  17  2\n",
+       "3  3  16  3"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf[ddf.b > 15].compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Selecting values from a `DataFrame` where a Boolean condition is met, via the `query` API."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a  b   c\n",
+       "16  16  3  16"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.query(\"b == 3\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a  b   c\n",
+       "16  16  3  16"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf.query(\"b == 3\").compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also pass local variables to Dask-cuDF queries, via the `local_dict` keyword. With standard cuDF, you may either use the `local_dict` keyword or directly pass the variable via the `@` keyword. Supported logical operators include `>`, `<`, `>=`, `<=`, `==`, and `!=`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a  b   c\n",
+       "16  16  3  16"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cudf_comparator = 3\n",
+    "df.query(\"b == @cudf_comparator\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a  b   c\n",
+       "16  16  3  16"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dask_cudf_comparator = 3\n",
+    "ddf.query(\"b == @val\", local_dict={'val':dask_cudf_comparator}).compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Using the `isin` method for filtering."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a   b  c\n",
+       "0  0  19  0\n",
+       "5  5  14  5"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[df.a.isin([0, 5])]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## MultiIndex"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "cuDF supports hierarchical indexing of DataFrames using MultiIndex. Grouping hierarchically (see `Grouping` below) automatically produces a DataFrame with a MultiIndex."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "MultiIndex(levels=[0    a\n",
+       "1    b\n",
+       "dtype: object, 0    1\n",
+       "1    2\n",
+       "2    3\n",
+       "3    4\n",
+       "dtype: int64],\n",
+       "codes=   0  1\n",
+       "0  0  0\n",
+       "1  0  1\n",
+       "2  1  2\n",
+       "3  1  3)"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arrays = [['a', 'a', 'b', 'b'], [1, 2, 3, 4]]\n",
+    "tuples = list(zip(*arrays))\n",
+    "idx = cudf.MultiIndex.from_tuples(tuples)\n",
+    "idx"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This index can back either axis of a DataFrame."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>first</th>\n",
+       "      <th>second</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">a</th>\n",
+       "      <th>1</th>\n",
+       "      <td>0.082654</td>\n",
+       "      <td>0.967955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.399417</td>\n",
+       "      <td>0.441425</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">b</th>\n",
+       "      <th>3</th>\n",
+       "      <td>0.784297</td>\n",
+       "      <td>0.793582</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.070303</td>\n",
+       "      <td>0.271711</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        first    second\n",
+       "a 1  0.082654  0.967955\n",
+       "  2  0.399417  0.441425\n",
+       "b 3  0.784297  0.793582\n",
+       "  4  0.070303  0.271711"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdf1 = cudf.DataFrame({'first': cp.random.rand(4), 'second': cp.random.rand(4)})\n",
+    "gdf1.index = idx\n",
+    "gdf1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"2\" halign=\"left\">a</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">b</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>first</th>\n",
+       "      <td>0.343382</td>\n",
+       "      <td>0.003700</td>\n",
+       "      <td>0.20043</td>\n",
+       "      <td>0.581614</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>second</th>\n",
+       "      <td>0.907812</td>\n",
+       "      <td>0.101512</td>\n",
+       "      <td>0.24179</td>\n",
+       "      <td>0.224180</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               a                  b          \n",
+       "               1         2        3         4\n",
+       "first   0.343382  0.003700  0.20043  0.581614\n",
+       "second  0.907812  0.101512  0.24179  0.224180"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdf2 = cudf.DataFrame({'first': cp.random.rand(4), 'second': cp.random.rand(4)}).T\n",
+    "gdf2.columns = idx\n",
+    "gdf2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Accessing values of a DataFrame with a MultiIndex. Note that slicing is not yet supported."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>first</th>\n",
+       "      <th>second</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>b</th>\n",
+       "      <th>3</th>\n",
+       "      <td>0.784297</td>\n",
+       "      <td>0.793582</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        first    second\n",
+       "0 1                    \n",
+       "b 3  0.784297  0.793582"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdf1.loc[('b', 3)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Missing Data\n",
+    "------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Missing data can be replaced by using the `fillna` method."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0      1\n",
+       "1      2\n",
+       "2      3\n",
+       "3    999\n",
+       "4      4\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s.fillna(999)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0      1\n",
+       "1      2\n",
+       "2      3\n",
+       "3    999\n",
+       "4      4\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds.fillna(999).compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Operations\n",
+    "------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Stats"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Calculating descriptive statistics for a `Series`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2.5, 1.666666666666666)"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s.mean(), s.var()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2.5, 1.6666666666666667)"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds.mean().compute(), ds.var().compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Applymap"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Applying functions to a `Series`. Note that applying user defined functions directly with Dask-cuDF is not yet implemented. For now, you can use [map_partitions](http://docs.dask.org/en/stable/dataframe-api.html#dask.dataframe.DataFrame.map_partitions) to apply a function to each partition of the distributed dataframe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     10\n",
+       "1     11\n",
+       "2     12\n",
+       "3     13\n",
+       "4     14\n",
+       "5     15\n",
+       "6     16\n",
+       "7     17\n",
+       "8     18\n",
+       "9     19\n",
+       "10    20\n",
+       "11    21\n",
+       "12    22\n",
+       "13    23\n",
+       "14    24\n",
+       "15    25\n",
+       "16    26\n",
+       "17    27\n",
+       "18    28\n",
+       "19    29\n",
+       "Name: a, dtype: int64"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def add_ten(num):\n",
+    "    return num + 10\n",
+    "\n",
+    "df['a'].applymap(add_ten)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     10\n",
+       "1     11\n",
+       "2     12\n",
+       "3     13\n",
+       "4     14\n",
+       "5     15\n",
+       "6     16\n",
+       "7     17\n",
+       "8     18\n",
+       "9     19\n",
+       "10    20\n",
+       "11    21\n",
+       "12    22\n",
+       "13    23\n",
+       "14    24\n",
+       "15    25\n",
+       "16    26\n",
+       "17    27\n",
+       "18    28\n",
+       "19    29\n",
+       "Name: a, dtype: int64"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf['a'].map_partitions(add_ten).compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Histogramming"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Counting the number of occurrences of each unique value of variable."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     1\n",
+       "1     1\n",
+       "2     1\n",
+       "3     1\n",
+       "4     1\n",
+       "5     1\n",
+       "6     1\n",
+       "7     1\n",
+       "8     1\n",
+       "9     1\n",
+       "10    1\n",
+       "11    1\n",
+       "12    1\n",
+       "13    1\n",
+       "14    1\n",
+       "15    1\n",
+       "16    1\n",
+       "17    1\n",
+       "18    1\n",
+       "19    1\n",
+       "Name: a, dtype: int32"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.a.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     1\n",
+       "1     1\n",
+       "2     1\n",
+       "3     1\n",
+       "4     1\n",
+       "5     1\n",
+       "6     1\n",
+       "7     1\n",
+       "8     1\n",
+       "9     1\n",
+       "10    1\n",
+       "11    1\n",
+       "12    1\n",
+       "13    1\n",
+       "14    1\n",
+       "15    1\n",
+       "16    1\n",
+       "17    1\n",
+       "18    1\n",
+       "19    1\n",
+       "Name: a, dtype: int64"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf.a.value_counts().compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## String Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Like pandas, cuDF provides string processing methods in the `str` attribute of `Series`. Full documentation of string methods is a work in progress. Please see the cuDF API documentation for more information."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       a\n",
+       "1       b\n",
+       "2       c\n",
+       "3    aaba\n",
+       "4    baca\n",
+       "5    None\n",
+       "6    caba\n",
+       "7     dog\n",
+       "8     cat\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = cudf.Series(['A', 'B', 'C', 'Aaba', 'Baca', None, 'CABA', 'dog', 'cat'])\n",
+    "s.str.lower()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       a\n",
+       "1       b\n",
+       "2       c\n",
+       "3    aaba\n",
+       "4    baca\n",
+       "5    None\n",
+       "6    caba\n",
+       "7     dog\n",
+       "8     cat\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds = dask_cudf.from_cudf(s, npartitions=2)\n",
+    "ds.str.lower().compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Concat"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Concatenating `Series` and `DataFrames` row-wise."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1       2\n",
+       "2       3\n",
+       "3    null\n",
+       "4       5\n",
+       "0       1\n",
+       "1       2\n",
+       "2       3\n",
+       "3    null\n",
+       "4       5\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s = cudf.Series([1, 2, 3, None, 5])\n",
+    "cudf.concat([s, s])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1       2\n",
+       "2       3\n",
+       "3    null\n",
+       "4       5\n",
+       "0       1\n",
+       "1       2\n",
+       "2       3\n",
+       "3    null\n",
+       "4       5\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds2 = dask_cudf.from_cudf(s, npartitions=2)\n",
+    "dask_cudf.concat([ds2, ds2]).compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Join"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Performing SQL style merges. Note that the dataframe order is not maintained, but may be restored post-merge by sorting by the index."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>key</th>\n",
+       "      <th>vals_a</th>\n",
+       "      <th>vals_b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>a</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>100.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>c</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>101.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>e</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>102.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>b</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>d</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  key  vals_a vals_b\n",
+       "0   a    10.0  100.0\n",
+       "1   c    12.0  101.0\n",
+       "2   e    14.0  102.0\n",
+       "3   b    11.0   null\n",
+       "4   d    13.0   null"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_a = cudf.DataFrame()\n",
+    "df_a['key'] = ['a', 'b', 'c', 'd', 'e']\n",
+    "df_a['vals_a'] = [float(i + 10) for i in range(5)]\n",
+    "\n",
+    "df_b = cudf.DataFrame()\n",
+    "df_b['key'] = ['a', 'c', 'e']\n",
+    "df_b['vals_b'] = [float(i+100) for i in range(3)]\n",
+    "\n",
+    "merged = df_a.merge(df_b, on=['key'], how='left')\n",
+    "merged"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>key</th>\n",
+       "      <th>vals_a</th>\n",
+       "      <th>vals_b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>a</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>100.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>c</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>101.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>b</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>e</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>102.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>d</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  key  vals_a vals_b\n",
+       "0   a    10.0  100.0\n",
+       "1   c    12.0  101.0\n",
+       "2   b    11.0   null\n",
+       "0   e    14.0  102.0\n",
+       "1   d    13.0   null"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf_a = dask_cudf.from_cudf(df_a, npartitions=2)\n",
+    "ddf_b = dask_cudf.from_cudf(df_b, npartitions=2)\n",
+    "\n",
+    "merged = ddf_a.merge(ddf_b, on=['key'], how='left').compute()\n",
+    "merged"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Append"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Appending values from another `Series` or array-like object."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1       2\n",
+       "2       3\n",
+       "3    null\n",
+       "4       5\n",
+       "0       1\n",
+       "1       2\n",
+       "2       3\n",
+       "3    null\n",
+       "4       5\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s.append(s)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1       2\n",
+       "2       3\n",
+       "3    null\n",
+       "4       5\n",
+       "0       1\n",
+       "1       2\n",
+       "2       3\n",
+       "3    null\n",
+       "4       5\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds2.append(ds2).compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Grouping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Like pandas, cuDF and Dask-cuDF support the Split-Apply-Combine groupby paradigm."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['agg_col1'] = [1 if x % 2 == 0 else 0 for x in range(len(df))]\n",
+    "df['agg_col2'] = [1 if x % 3 == 0 else 0 for x in range(len(df))]\n",
+    "\n",
+    "ddf = dask_cudf.from_cudf(df, npartitions=2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Grouping and then applying the `sum` function to the grouped data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>agg_col2</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>100</td>\n",
+       "      <td>90</td>\n",
+       "      <td>100</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>90</td>\n",
+       "      <td>100</td>\n",
+       "      <td>90</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            a    b    c  agg_col2\n",
+       "agg_col1                         \n",
+       "0         100   90  100         3\n",
+       "1          90  100   90         4"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('agg_col1').sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>agg_col2</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>100</td>\n",
+       "      <td>90</td>\n",
+       "      <td>100</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>90</td>\n",
+       "      <td>100</td>\n",
+       "      <td>90</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            a    b    c  agg_col2\n",
+       "agg_col1                         \n",
+       "0         100   90  100         3\n",
+       "1          90  100   90         4"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf.groupby('agg_col1').sum().compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Grouping hierarchically then applying the `sum` function to grouped data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th>agg_col2</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
+       "      <th>0</th>\n",
+       "      <td>73</td>\n",
+       "      <td>60</td>\n",
+       "      <td>73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>27</td>\n",
+       "      <td>30</td>\n",
+       "      <td>27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
+       "      <th>0</th>\n",
+       "      <td>54</td>\n",
+       "      <td>60</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>36</td>\n",
+       "      <td>40</td>\n",
+       "      <td>36</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    a   b   c\n",
+       "agg_col1 agg_col2            \n",
+       "0        0         73  60  73\n",
+       "         1         27  30  27\n",
+       "1        0         54  60  54\n",
+       "         1         36  40  36"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby(['agg_col1', 'agg_col2']).sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th>agg_col2</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <th>1</th>\n",
+       "      <td>36</td>\n",
+       "      <td>40</td>\n",
+       "      <td>36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <th>0</th>\n",
+       "      <td>73</td>\n",
+       "      <td>60</td>\n",
+       "      <td>73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <th>0</th>\n",
+       "      <td>54</td>\n",
+       "      <td>60</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <td>27</td>\n",
+       "      <td>30</td>\n",
+       "      <td>27</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    a   b   c\n",
+       "agg_col1 agg_col2            \n",
+       "1        1         36  40  36\n",
+       "0        0         73  60  73\n",
+       "1        0         54  60  54\n",
+       "0        1         27  30  27"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf.groupby(['agg_col1', 'agg_col2']).sum().compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Grouping and applying statistical functions to specific columns, using `agg`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>19</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>100</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>18</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>90</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           a     b    c\n",
+       "agg_col1               \n",
+       "0         19   9.0  100\n",
+       "1         18  10.0   90"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('agg_col1').agg({'a':'max', 'b':'mean', 'c':'sum'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>19</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>100</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>18</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>90</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           a     b    c\n",
+       "agg_col1               \n",
+       "0         19   9.0  100\n",
+       "1         18  10.0   90"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf.groupby('agg_col1').agg({'a':'max', 'b':'mean', 'c':'sum'}).compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Transpose"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Transposing a dataframe, using either the `transpose` method or `T` property. Currently, all columns must have the same type. Transposing is not currently implemented in Dask-cuDF."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a  b\n",
+       "0  1  4\n",
+       "1  2  5\n",
+       "2  3  6"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sample = cudf.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})\n",
+    "sample"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>b</th>\n",
+       "      <td>4</td>\n",
+       "      <td>5</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   0  1  2\n",
+       "a  1  2  3\n",
+       "b  4  5  6"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sample.transpose()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Time Series\n",
+    "------------\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "`DataFrames` supports `datetime` typed columns, which allow users to interact with and filter data based on specific timestamps."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2018-11-20</td>\n",
+       "      <td>0.986051</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2018-11-21</td>\n",
+       "      <td>0.232034</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2018-11-22</td>\n",
+       "      <td>0.397617</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2018-11-23</td>\n",
+       "      <td>0.103839</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        date     value\n",
+       "0 2018-11-20  0.986051\n",
+       "1 2018-11-21  0.232034\n",
+       "2 2018-11-22  0.397617\n",
+       "3 2018-11-23  0.103839"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import datetime as dt\n",
+    "\n",
+    "date_df = cudf.DataFrame()\n",
+    "date_df['date'] = pd.date_range('11/20/2018', periods=72, freq='D')\n",
+    "date_df['value'] = cp.random.sample(len(date_df))\n",
+    "\n",
+    "search_date = dt.datetime.strptime('2018-11-23', '%Y-%m-%d')\n",
+    "date_df.query('date <= @search_date')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2018-11-20</td>\n",
+       "      <td>0.986051</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2018-11-21</td>\n",
+       "      <td>0.232034</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2018-11-22</td>\n",
+       "      <td>0.397617</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2018-11-23</td>\n",
+       "      <td>0.103839</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        date     value\n",
+       "0 2018-11-20  0.986051\n",
+       "1 2018-11-21  0.232034\n",
+       "2 2018-11-22  0.397617\n",
+       "3 2018-11-23  0.103839"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "date_ddf = dask_cudf.from_cudf(date_df, npartitions=2)\n",
+    "date_ddf.query('date <= @search_date', local_dict={'search_date':search_date}).compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Categoricals\n",
+    "------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "`DataFrames` support categorical columns."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>grade</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>a</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>b</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>b</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>a</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>a</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>e</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   id grade\n",
+       "0   1     a\n",
+       "1   2     b\n",
+       "2   3     b\n",
+       "3   4     a\n",
+       "4   5     a\n",
+       "5   6     e"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdf = cudf.DataFrame({\"id\": [1, 2, 3, 4, 5, 6], \"grade\":['a', 'b', 'b', 'a', 'a', 'e']})\n",
+    "gdf['grade'] = gdf['grade'].astype('category')\n",
+    "gdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>grade</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>a</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>b</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>b</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>a</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>a</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>e</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   id grade\n",
+       "0   1     a\n",
+       "1   2     b\n",
+       "2   3     b\n",
+       "3   4     a\n",
+       "4   5     a\n",
+       "5   6     e"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dgdf = dask_cudf.from_cudf(gdf, npartitions=2)\n",
+    "dgdf.compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Accessing the categories of a column. Note that this is currently not supported in Dask-cuDF."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "StringIndex(['a' 'b' 'e'], dtype='object')"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdf.grade.cat.categories"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Accessing the underlying code values of each categorical observation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0\n",
+       "1    1\n",
+       "2    1\n",
+       "3    0\n",
+       "4    0\n",
+       "5    2\n",
+       "dtype: int8"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdf.grade.cat.codes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0\n",
+       "1    1\n",
+       "2    1\n",
+       "3    0\n",
+       "4    0\n",
+       "5    2\n",
+       "dtype: int8"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dgdf.grade.cat.codes.compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Converting Data Representation\n",
+    "--------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Pandas"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Converting a cuDF and Dask-cuDF `DataFrame` to a pandas `DataFrame`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th>agg_col2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a   b  c  agg_col1  agg_col2\n",
+       "0  0  19  0         1         1\n",
+       "1  1  18  1         0         0\n",
+       "2  2  17  2         1         0\n",
+       "3  3  16  3         0         1\n",
+       "4  4  15  4         1         0"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head().to_pandas()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th>agg_col2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a   b  c  agg_col1  agg_col2\n",
+       "0  0  19  0         1         1\n",
+       "1  1  18  1         0         0\n",
+       "2  2  17  2         1         0\n",
+       "3  3  16  3         0         1\n",
+       "4  4  15  4         1         0"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf.compute().head().to_pandas()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Numpy"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Converting a cuDF or Dask-cuDF `DataFrame` to a numpy `ndarray`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 0, 19,  0,  1,  1],\n",
+       "       [ 1, 18,  1,  0,  0],\n",
+       "       [ 2, 17,  2,  1,  0],\n",
+       "       [ 3, 16,  3,  0,  1],\n",
+       "       [ 4, 15,  4,  1,  0],\n",
+       "       [ 5, 14,  5,  0,  0],\n",
+       "       [ 6, 13,  6,  1,  1],\n",
+       "       [ 7, 12,  7,  0,  0],\n",
+       "       [ 8, 11,  8,  1,  0],\n",
+       "       [ 9, 10,  9,  0,  1],\n",
+       "       [10,  9, 10,  1,  0],\n",
+       "       [11,  8, 11,  0,  0],\n",
+       "       [12,  7, 12,  1,  1],\n",
+       "       [13,  6, 13,  0,  0],\n",
+       "       [14,  5, 14,  1,  0],\n",
+       "       [15,  4, 15,  0,  1],\n",
+       "       [16,  3, 16,  1,  0],\n",
+       "       [17,  2, 17,  0,  0],\n",
+       "       [18,  1, 18,  1,  1],\n",
+       "       [19,  0, 19,  0,  0]])"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.as_matrix()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 0, 19,  0,  1,  1],\n",
+       "       [ 1, 18,  1,  0,  0],\n",
+       "       [ 2, 17,  2,  1,  0],\n",
+       "       [ 3, 16,  3,  0,  1],\n",
+       "       [ 4, 15,  4,  1,  0],\n",
+       "       [ 5, 14,  5,  0,  0],\n",
+       "       [ 6, 13,  6,  1,  1],\n",
+       "       [ 7, 12,  7,  0,  0],\n",
+       "       [ 8, 11,  8,  1,  0],\n",
+       "       [ 9, 10,  9,  0,  1],\n",
+       "       [10,  9, 10,  1,  0],\n",
+       "       [11,  8, 11,  0,  0],\n",
+       "       [12,  7, 12,  1,  1],\n",
+       "       [13,  6, 13,  0,  0],\n",
+       "       [14,  5, 14,  1,  0],\n",
+       "       [15,  4, 15,  0,  1],\n",
+       "       [16,  3, 16,  1,  0],\n",
+       "       [17,  2, 17,  0,  0],\n",
+       "       [18,  1, 18,  1,  1],\n",
+       "       [19,  0, 19,  0,  0]])"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf.compute().as_matrix()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Converting a cuDF or Dask-cuDF `Series` to a numpy `ndarray`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
+       "       17, 18, 19])"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['a'].to_array()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
+       "       17, 18, 19])"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf['a'].compute().to_array()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Arrow"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Converting a cuDF or Dask-cuDF `DataFrame` to a PyArrow `Table`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "pyarrow.Table\n",
+       "a: int64\n",
+       "b: int64\n",
+       "c: int64\n",
+       "agg_col1: int64\n",
+       "agg_col2: int64\n",
+       "metadata\n",
+       "--------\n",
+       "{b'pandas': b'{\"index_columns\": [{\"kind\": \"range\", \"name\": null, \"start\": 0, \"'\n",
+       "            b'stop\": 20, \"step\": 1}], \"column_indexes\": [{\"name\": null, \"field'\n",
+       "            b'_name\": null, \"pandas_type\": \"unicode\", \"numpy_type\": \"object\", '\n",
+       "            b'\"metadata\": {\"encoding\": \"UTF-8\"}}], \"columns\": [{\"name\": \"a\", \"'\n",
+       "            b'field_name\": \"a\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\",'\n",
+       "            b' \"metadata\": null}, {\"name\": \"b\", \"field_name\": \"b\", \"pandas_typ'\n",
+       "            b'e\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": '\n",
+       "            b'\"c\", \"field_name\": \"c\", \"pandas_type\": \"int64\", \"numpy_type\": \"i'\n",
+       "            b'nt64\", \"metadata\": null}, {\"name\": \"agg_col1\", \"field_name\": \"ag'\n",
+       "            b'g_col1\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadat'\n",
+       "            b'a\": null}, {\"name\": \"agg_col2\", \"field_name\": \"agg_col2\", \"panda'\n",
+       "            b's_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}], \"cr'\n",
+       "            b'eator\": {\"library\": \"pyarrow\", \"version\": \"0.15.0\"}, \"pandas_ver'\n",
+       "            b'sion\": \"0.25.3\"}'}"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.to_arrow()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "pyarrow.Table\n",
+       "a: int64\n",
+       "b: int64\n",
+       "c: int64\n",
+       "agg_col1: int64\n",
+       "agg_col2: int64\n",
+       "__index_level_0__: int64\n",
+       "metadata\n",
+       "--------\n",
+       "{b'pandas': b'{\"index_columns\": [\"__index_level_0__\"], \"column_indexes\": [{\"na'\n",
+       "            b'me\": null, \"field_name\": null, \"pandas_type\": \"unicode\", \"numpy_'\n",
+       "            b'type\": \"object\", \"metadata\": {\"encoding\": \"UTF-8\"}}], \"columns\":'\n",
+       "            b' [{\"name\": \"a\", \"field_name\": \"a\", \"pandas_type\": \"int64\", \"nump'\n",
+       "            b'y_type\": \"int64\", \"metadata\": null}, {\"name\": \"b\", \"field_name\":'\n",
+       "            b' \"b\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\":'\n",
+       "            b' null}, {\"name\": \"c\", \"field_name\": \"c\", \"pandas_type\": \"int64\",'\n",
+       "            b' \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"agg_col1\", '\n",
+       "            b'\"field_name\": \"agg_col1\", \"pandas_type\": \"int64\", \"numpy_type\": '\n",
+       "            b'\"int64\", \"metadata\": null}, {\"name\": \"agg_col2\", \"field_name\": \"'\n",
+       "            b'agg_col2\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metad'\n",
+       "            b'ata\": null}, {\"name\": null, \"field_name\": \"__index_level_0__\", \"'\n",
+       "            b'pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}]'\n",
+       "            b', \"creator\": {\"library\": \"pyarrow\", \"version\": \"0.15.0\"}, \"panda'\n",
+       "            b's_version\": \"0.25.3\"}'}"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf.compute().to_arrow()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Getting Data In/Out\n",
+    "------------------------\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## CSV"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Writing to a CSV file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.exists('example_output'):\n",
+    "    os.mkdir('example_output')\n",
+    "    \n",
+    "df.to_csv('example_output/foo.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ddf.compute().to_csv('example_output/foo_dask.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Reading from a csv file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th>agg_col2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a   b   c  agg_col1  agg_col2\n",
+       "0    0  19   0         1         1\n",
+       "1    1  18   1         0         0\n",
+       "2    2  17   2         1         0\n",
+       "3    3  16   3         0         1\n",
+       "4    4  15   4         1         0\n",
+       "5    5  14   5         0         0\n",
+       "6    6  13   6         1         1\n",
+       "7    7  12   7         0         0\n",
+       "8    8  11   8         1         0\n",
+       "9    9  10   9         0         1\n",
+       "10  10   9  10         1         0\n",
+       "11  11   8  11         0         0\n",
+       "12  12   7  12         1         1\n",
+       "13  13   6  13         0         0\n",
+       "14  14   5  14         1         0\n",
+       "15  15   4  15         0         1\n",
+       "16  16   3  16         1         0\n",
+       "17  17   2  17         0         0\n",
+       "18  18   1  18         1         1\n",
+       "19  19   0  19         0         0"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = cudf.read_csv('example_output/foo.csv')\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th>agg_col2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a   b   c  agg_col1  agg_col2\n",
+       "0    0  19   0         1         1\n",
+       "1    1  18   1         0         0\n",
+       "2    2  17   2         1         0\n",
+       "3    3  16   3         0         1\n",
+       "4    4  15   4         1         0\n",
+       "5    5  14   5         0         0\n",
+       "6    6  13   6         1         1\n",
+       "7    7  12   7         0         0\n",
+       "8    8  11   8         1         0\n",
+       "9    9  10   9         0         1\n",
+       "10  10   9  10         1         0\n",
+       "11  11   8  11         0         0\n",
+       "12  12   7  12         1         1\n",
+       "13  13   6  13         0         0\n",
+       "14  14   5  14         1         0\n",
+       "15  15   4  15         0         1\n",
+       "16  16   3  16         1         0\n",
+       "17  17   2  17         0         0\n",
+       "18  18   1  18         1         1\n",
+       "19  19   0  19         0         0"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf = dask_cudf.read_csv('example_output/foo_dask.csv')\n",
+    "ddf.compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Reading all CSV files in a directory into a single `dask_cudf.DataFrame`, using the star wildcard."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th>agg_col2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a   b   c  agg_col1  agg_col2\n",
+       "0    0  19   0         1         1\n",
+       "1    1  18   1         0         0\n",
+       "2    2  17   2         1         0\n",
+       "3    3  16   3         0         1\n",
+       "4    4  15   4         1         0\n",
+       "5    5  14   5         0         0\n",
+       "6    6  13   6         1         1\n",
+       "7    7  12   7         0         0\n",
+       "8    8  11   8         1         0\n",
+       "9    9  10   9         0         1\n",
+       "10  10   9  10         1         0\n",
+       "11  11   8  11         0         0\n",
+       "12  12   7  12         1         1\n",
+       "13  13   6  13         0         0\n",
+       "14  14   5  14         1         0\n",
+       "15  15   4  15         0         1\n",
+       "16  16   3  16         1         0\n",
+       "17  17   2  17         0         0\n",
+       "18  18   1  18         1         1\n",
+       "19  19   0  19         0         0\n",
+       "0    0  19   0         1         1\n",
+       "1    1  18   1         0         0\n",
+       "2    2  17   2         1         0\n",
+       "3    3  16   3         0         1\n",
+       "4    4  15   4         1         0\n",
+       "5    5  14   5         0         0\n",
+       "6    6  13   6         1         1\n",
+       "7    7  12   7         0         0\n",
+       "8    8  11   8         1         0\n",
+       "9    9  10   9         0         1\n",
+       "10  10   9  10         1         0\n",
+       "11  11   8  11         0         0\n",
+       "12  12   7  12         1         1\n",
+       "13  13   6  13         0         0\n",
+       "14  14   5  14         1         0\n",
+       "15  15   4  15         0         1\n",
+       "16  16   3  16         1         0\n",
+       "17  17   2  17         0         0\n",
+       "18  18   1  18         1         1\n",
+       "19  19   0  19         0         0"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf = dask_cudf.read_csv('example_output/*.csv')\n",
+    "ddf.compute()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Parquet"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Writing to parquet files, using the CPU via PyArrow."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.to_parquet('example_output/temp_parquet')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Reading parquet files with a GPU-accelerated parquet reader."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>agg_col1</th>\n",
+       "      <th>agg_col2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>13</td>\n",
+       "      <td>6</td>\n",
+       "      <td>13</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>17</td>\n",
+       "      <td>2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a   b   c  agg_col1  agg_col2\n",
+       "0    0  19   0         1         1\n",
+       "1    1  18   1         0         0\n",
+       "2    2  17   2         1         0\n",
+       "3    3  16   3         0         1\n",
+       "4    4  15   4         1         0\n",
+       "5    5  14   5         0         0\n",
+       "6    6  13   6         1         1\n",
+       "7    7  12   7         0         0\n",
+       "8    8  11   8         1         0\n",
+       "9    9  10   9         0         1\n",
+       "10  10   9  10         1         0\n",
+       "11  11   8  11         0         0\n",
+       "12  12   7  12         1         1\n",
+       "13  13   6  13         0         0\n",
+       "14  14   5  14         1         0\n",
+       "15  15   4  15         0         1\n",
+       "16  16   3  16         1         0\n",
+       "17  17   2  17         0         0\n",
+       "18  18   1  18         1         1\n",
+       "19  19   0  19         0         0"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = cudf.read_parquet('example_output/temp_parquet')\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Writing to parquet files from a `dask_cudf.DataFrame` using PyArrow under the hood."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ddf.to_parquet('example_files')  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## ORC"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Reading ORC files."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>boolean1</th>\n",
+       "      <th>byte1</th>\n",
+       "      <th>short1</th>\n",
+       "      <th>int1</th>\n",
+       "      <th>long1</th>\n",
+       "      <th>float1</th>\n",
+       "      <th>double1</th>\n",
+       "      <th>bytes1</th>\n",
+       "      <th>string1</th>\n",
+       "      <th>middle.list.int1</th>\n",
+       "      <th>middle.list.string1</th>\n",
+       "      <th>list.int1</th>\n",
+       "      <th>list.string1</th>\n",
+       "      <th>map</th>\n",
+       "      <th>map.int1</th>\n",
+       "      <th>map.string1</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>False</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1024</td>\n",
+       "      <td>65536</td>\n",
+       "      <td>9223372036854775807</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-15.0</td>\n",
+       "      <td>\u0000\u0001\u0002\u0003\u0004</td>\n",
+       "      <td>hi</td>\n",
+       "      <td>3</td>\n",
+       "      <td>bye</td>\n",
+       "      <td>4</td>\n",
+       "      <td></td>\n",
+       "      <td>chani</td>\n",
+       "      <td>5</td>\n",
+       "      <td>chani</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>True</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2048</td>\n",
+       "      <td>65536</td>\n",
+       "      <td>9223372036854775807</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>-5.0</td>\n",
+       "      <td></td>\n",
+       "      <td>bye</td>\n",
+       "      <td>0</td>\n",
+       "      <td>bye</td>\n",
+       "      <td>0</td>\n",
+       "      <td></td>\n",
+       "      <td>mauddib</td>\n",
+       "      <td>1</td>\n",
+       "      <td>mauddib</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   boolean1  byte1  short1   int1                long1  float1  double1  \\\n",
+       "0     False      1    1024  65536  9223372036854775807     1.0    -15.0   \n",
+       "1      True    100    2048  65536  9223372036854775807     2.0     -5.0   \n",
+       "\n",
+       "  bytes1 string1  middle.list.int1 middle.list.string1  list.int1  \\\n",
+       "0  \u0000\u0001\u0002\u0003\u0004      hi                 3                 bye          4   \n",
+       "1            bye                 0                 bye          0   \n",
+       "\n",
+       "  list.string1      map  map.int1 map.string1  \n",
+       "0                 chani         5       chani  \n",
+       "1               mauddib         1     mauddib  "
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2 = cudf.read_orc('/rapids/cudf/python/cudf/cudf/tests/data/orc/TestOrcFile.test1.orc')\n",
+    "df2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Dask Performance Tips\n",
+    "--------------------------------\n",
+    "\n",
+    "Like Apache Spark, Dask operations are [lazy](https://en.wikipedia.org/wiki/Lazy_evaluation). Instead of being executed at that moment, most operations are added to a task graph and the actual evaluation is delayed until the result is needed.\n",
+    "\n",
+    "Sometimes, though, we want to force the execution of operations. Calling `persist` on a Dask collection fully computes it (or actively computes it in the background), persisting the result into memory. When we're using distributed systems, we may want to wait until `persist` is finished before beginning any downstream operations. We can enforce this contract by using `wait`. Wrapping an operation with `wait` will ensure it doesn't begin executing until all necessary upstream operations have finished.\n",
+    "\n",
+    "The snippets below provide basic examples, using `LocalCUDACluster` to create one dask-worker per GPU on the local machine. For more detailed information about `persist` and `wait`, please see the Dask documentation for [persist](https://docs.dask.org/en/latest/api.html#dask.persist) and [wait](https://docs.dask.org/en/latest/futures.html#distributed.wait). Wait relies on the concept of Futures, which is beyond the scope of this tutorial. For more information on Futures, see the Dask [Futures](https://docs.dask.org/en/latest/futures.html) documentation. For more information about multi-GPU clusters, please see the [dask-cuda](https://github.com/rapidsai/dask-cuda) library (documentation is in progress)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "First, we set up a GPU cluster. With our `client` set up, Dask-cuDF computation will be distributed across the GPUs in the cluster."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table style=\"border: 2px solid white;\">\n",
+       "<tr>\n",
+       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
+       "<h3 style=\"text-align: left;\">Client</h3>\n",
+       "<ul style=\"text-align: left; list-style: none; margin: 0; padding: 0;\">\n",
+       "  <li><b>Scheduler: </b>tcp://127.0.0.1:37255</li>\n",
+       "  <li><b>Dashboard: </b><a href='http://127.0.0.1:8787/status' target='_blank'>http://127.0.0.1:8787/status</a></li>\n",
+       "</ul>\n",
+       "</td>\n",
+       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
+       "<h3 style=\"text-align: left;\">Cluster</h3>\n",
+       "<ul style=\"text-align: left; list-style:none; margin: 0; padding: 0;\">\n",
+       "  <li><b>Workers: </b>4</li>\n",
+       "  <li><b>Cores: </b>4</li>\n",
+       "  <li><b>Memory: </b>404.32 GB</li>\n",
+       "</ul>\n",
+       "</td>\n",
+       "</tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<Client: 'tcp://127.0.0.1:37255' processes=4 threads=4, memory=404.32 GB>"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import time\n",
+    "\n",
+    "from dask.distributed import Client, wait\n",
+    "from dask_cuda import LocalCUDACluster\n",
+    "\n",
+    "cluster = LocalCUDACluster()\n",
+    "client = Client(cluster)\n",
+    "client"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Persisting Data\n",
+    "Next, we create our Dask-cuDF DataFrame and apply a transformation, storing the result as a new column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>npartitions=5</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>int64</td>\n",
+       "      <td>int64</td>\n",
+       "      <td>int64</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2000000</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8000000</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9999999</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>\n",
+       "<div>Dask Name: assign, 20 tasks</div>"
+      ],
+      "text/plain": [
+       "<dask_cudf.DataFrame | 20 tasks | 5 npartitions>"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nrows = 10000000\n",
+    "\n",
+    "df2 = cudf.DataFrame({'a': cp.arange(nrows), 'b': cp.arange(nrows)})\n",
+    "ddf2 = dask_cudf.from_cudf(df2, npartitions=5)\n",
+    "ddf2['c'] = ddf2['a'] + 5\n",
+    "ddf2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Thu Jun  4 05:36:08 2020       \n",
+      "+-----------------------------------------------------------------------------+\n",
+      "| NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |\n",
+      "|-------------------------------+----------------------+----------------------+\n",
+      "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
+      "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
+      "|===============================+======================+======================|\n",
+      "|   0  Tesla T4            On   | 00000000:3B:00.0 Off |                    0 |\n",
+      "| N/A   38C    P0    27W /  70W |    743MiB / 15109MiB |      2%      Default |\n",
+      "+-------------------------------+----------------------+----------------------+\n",
+      "|   1  Tesla T4            On   | 00000000:5E:00.0 Off |                    0 |\n",
+      "| N/A   41C    P0    26W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
+      "+-------------------------------+----------------------+----------------------+\n",
+      "|   2  Tesla T4            On   | 00000000:AF:00.0 Off |                    0 |\n",
+      "| N/A   35C    P0    27W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
+      "+-------------------------------+----------------------+----------------------+\n",
+      "|   3  Tesla T4            On   | 00000000:D8:00.0 Off |                    0 |\n",
+      "| N/A   34C    P0    27W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
+      "+-------------------------------+----------------------+----------------------+\n",
+      "                                                                               \n",
+      "+-----------------------------------------------------------------------------+\n",
+      "| Processes:                                                       GPU Memory |\n",
+      "|  GPU       PID   Type   Process name                             Usage      |\n",
+      "|=============================================================================|\n",
+      "|    0     57229      C   ...sets/pgali/envs/new_cudf_env/bin/python   633MiB |\n",
+      "|    0     57341      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
+      "|    1     57337      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
+      "|    2     57336      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
+      "|    3     57335      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
+      "+-----------------------------------------------------------------------------+\n"
+     ]
+    }
+   ],
+   "source": [
+    "!nvidia-smi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Because Dask is lazy, the computation has not yet occurred. We can see that there are twenty tasks in the task graph and we've used about 800 MB of memory. We can force computation by using `persist`. By forcing execution, the result is now explicitly in memory and our task graph only contains one task per partition (the baseline)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>npartitions=5</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>int64</td>\n",
+       "      <td>int64</td>\n",
+       "      <td>int64</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2000000</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8000000</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9999999</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>\n",
+       "<div>Dask Name: assign, 5 tasks</div>"
+      ],
+      "text/plain": [
+       "<dask_cudf.DataFrame | 5 tasks | 5 npartitions>"
+      ]
+     },
+     "execution_count": 83,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ddf2 = ddf2.persist()\n",
+    "ddf2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Thu Jun  4 05:36:09 2020       \n",
+      "+-----------------------------------------------------------------------------+\n",
+      "| NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |\n",
+      "|-------------------------------+----------------------+----------------------+\n",
+      "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
+      "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
+      "|===============================+======================+======================|\n",
+      "|   0  Tesla T4            On   | 00000000:3B:00.0 Off |                    0 |\n",
+      "| N/A   38C    P0    27W /  70W |    743MiB / 15109MiB |      0%      Default |\n",
+      "+-------------------------------+----------------------+----------------------+\n",
+      "|   1  Tesla T4            On   | 00000000:5E:00.0 Off |                    0 |\n",
+      "| N/A   42C    P0    26W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
+      "+-------------------------------+----------------------+----------------------+\n",
+      "|   2  Tesla T4            On   | 00000000:AF:00.0 Off |                    0 |\n",
+      "| N/A   35C    P0    27W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
+      "+-------------------------------+----------------------+----------------------+\n",
+      "|   3  Tesla T4            On   | 00000000:D8:00.0 Off |                    0 |\n",
+      "| N/A   34C    P0    27W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
+      "+-------------------------------+----------------------+----------------------+\n",
+      "                                                                               \n",
+      "+-----------------------------------------------------------------------------+\n",
+      "| Processes:                                                       GPU Memory |\n",
+      "|  GPU       PID   Type   Process name                             Usage      |\n",
+      "|=============================================================================|\n",
+      "|    0     57229      C   ...sets/pgali/envs/new_cudf_env/bin/python   633MiB |\n",
+      "|    0     57341      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
+      "|    1     57337      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
+      "|    2     57336      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
+      "|    3     57335      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
+      "+-----------------------------------------------------------------------------+\n"
+     ]
+    }
+   ],
+   "source": [
+    "!nvidia-smi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Because we forced computation, we now have a larger object in distributed GPU memory."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Wait\n",
+    "Depending on our workflow or distributed computing setup, we may want to `wait` until all upstream tasks have finished before proceeding with a specific function. This section shows an example of this behavior, adapted from the Dask documentation.\n",
+    "\n",
+    "First, we create a new Dask DataFrame and define a function that we'll map to every partition in the dataframe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "nrows = 10000000\n",
+    "\n",
+    "df1 = cudf.DataFrame({'a': cp.arange(nrows), 'b': cp.arange(nrows)})\n",
+    "ddf1 = dask_cudf.from_cudf(df1, npartitions=100)\n",
+    "\n",
+    "def func(df):\n",
+    "    time.sleep(cp.random.randint(1, 60))\n",
+    "    return (df + 5) * 3 - 11"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This function will do a basic transformation of every column in the dataframe, but the time spent in the function will vary due to the `time.sleep` statement randomly adding 1-60 seconds of time. We'll run this on every partition of our dataframe using `map_partitions`, which adds the task to our task-graph, and store the result. We can then call `persist` to force execution."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_ddf = ddf2.map_partitions(func)\n",
+    "results_ddf = results_ddf.persist()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "However, some partitions will be done **much** sooner than others. If we had downstream processes that should wait for all partitions to be completed, we can enforce that behavior using `wait`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DoneAndNotDoneFutures(done={<Future: finished, type: cudf.DataFrame, key: ('func-9bb5c8a87fdfc7be52f8be0d02f5d274', 2)>, <Future: finished, type: cudf.DataFrame, key: ('func-9bb5c8a87fdfc7be52f8be0d02f5d274', 3)>, <Future: finished, type: cudf.DataFrame, key: ('func-9bb5c8a87fdfc7be52f8be0d02f5d274', 4)>, <Future: finished, type: cudf.DataFrame, key: ('func-9bb5c8a87fdfc7be52f8be0d02f5d274', 0)>, <Future: finished, type: cudf.DataFrame, key: ('func-9bb5c8a87fdfc7be52f8be0d02f5d274', 1)>}, not_done=set())"
+      ]
+     },
+     "execution_count": 87,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wait(results_ddf)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With `wait`, we can safely proceed on in our workflow."
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/cudf/source/user_guide/Working-with-missing-data.ipynb b/docs/cudf/source/user_guide/Working-with-missing-data.ipynb
new file mode 100644
index 00000000000..54fe774060e
--- /dev/null
+++ b/docs/cudf/source/user_guide/Working-with-missing-data.ipynb
@@ -0,0 +1,3466 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Working with missing data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this section, we will discuss missing (also referred to as `NA`) values in cudf. cudf supports having missing values in all dtypes. These missing values are represented by `<NA>`. These values are also referenced as \"null values\"."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1. [How to Detect missing values](#How-to-Detect-missing-values)\n",
+    "2. [Float dtypes and missing data](#Float-dtypes-and-missing-data)\n",
+    "3. [Datetimes](#Datetimes)\n",
+    "4. [Calculations with missing data](#Calculations-with-missing-data)\n",
+    "5. [Sum/product of Null/nans](#Sum/product-of-Null/nans)\n",
+    "6. [NA values in GroupBy](#NA-values-in-GroupBy)\n",
+    "7. [Inserting missing data](#Inserting-missing-data)\n",
+    "8. [Filling missing values: fillna](#Filling-missing-values:-fillna)\n",
+    "9. [Filling with cudf Object](#Filling-with-cudf-Object)\n",
+    "10. [Dropping axis labels with missing data: dropna](#Dropping-axis-labels-with-missing-data:-dropna)\n",
+    "11. [Replacing generic values](#Replacing-generic-values)\n",
+    "12. [String/regular expression replacement](#String/regular-expression-replacement)\n",
+    "13. [Numeric replacement](#Numeric-replacement)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## How to Detect missing values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To detect missing values, you can use `isna()` and `notna()` functions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cudf\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = cudf.DataFrame({'a': [1, 2, None, 4], 'b':[0.1, None, 2.3, 17.17]})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>2.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>17.17</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      a      b\n",
+       "0     1    0.1\n",
+       "1     2   <NA>\n",
+       "2  <NA>    2.3\n",
+       "3     4  17.17"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       a      b\n",
+       "0  False  False\n",
+       "1  False   True\n",
+       "2   True  False\n",
+       "3  False  False"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     True\n",
+       "1     True\n",
+       "2    False\n",
+       "3     True\n",
+       "Name: a, dtype: bool"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['a'].notna()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "One has to be mindful that in Python (and NumPy), the nan's don’t compare equal, but None's do. Note that cudf/NumPy uses the fact that `np.nan != np.nan`, and treats `None` like `np.nan`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "None == None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.nan == np.nan"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So as compared to above, a scalar equality comparison versus a None/np.nan doesn’t provide useful information.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    False\n",
+       "1    False\n",
+       "2    False\n",
+       "3    False\n",
+       "Name: b, dtype: bool"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['b'] == np.nan"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s = cudf.Series([None, 1, 2])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    <NA>\n",
+       "1       1\n",
+       "2       2\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    False\n",
+       "1    False\n",
+       "2    False\n",
+       "dtype: bool"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s == None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s = cudf.Series([1, 2, np.nan], nan_as_null=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    1.0\n",
+       "1    2.0\n",
+       "2    NaN\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    False\n",
+       "1    False\n",
+       "2    False\n",
+       "dtype: bool"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s == np.nan"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Float dtypes and missing data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Because ``NaN`` is a float, a column of integers with even one missing values is cast to floating-point dtype. However this doesn't happen by default.\n",
+    "\n",
+    "By default if a ``NaN`` value is passed to `Series` constructor, it is treated as `<NA>` value. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1       2\n",
+       "2    <NA>\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cudf.Series([1, 2, np.nan])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Hence to consider a ``NaN`` as ``NaN`` you will have to pass `nan_as_null=False` parameter into `Series` constructor."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    1.0\n",
+       "1    2.0\n",
+       "2    NaN\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cudf.Series([1, 2, np.nan], nan_as_null=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Datetimes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For `datetime64` types, cudf doesn't support having `NaT` values. Instead these values which are specific to numpy and pandas are considered as null values(`<NA>`) in cudf. The actual underlying value of `NaT` is `min(int64)` and cudf retains the underlying value when converting a cudf object to pandas object.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    2012-01-01 00:00:00.000000\n",
+       "1                          <NA>\n",
+       "2    2012-01-01 00:00:00.000000\n",
+       "dtype: datetime64[us]"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "datetime_series = cudf.Series([pd.Timestamp(\"20120101\"), pd.NaT, pd.Timestamp(\"20120101\")])\n",
+    "datetime_series"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0   2012-01-01\n",
+       "1          NaT\n",
+       "2   2012-01-01\n",
+       "dtype: datetime64[ns]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "datetime_series.to_pandas()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "any operations on rows having `<NA>` values in `datetime` column will result in `<NA>` value at the same location in resulting column:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0 days 00:00:00\n",
+       "1               <NA>\n",
+       "2    0 days 00:00:00\n",
+       "dtype: timedelta64[us]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "datetime_series - datetime_series"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculations with missing data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Null values propagate naturally through arithmetic operations between pandas objects."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df1 = cudf.DataFrame({'a':[1, None, 2, 3, None], 'b':cudf.Series([np.nan, 2, 3.2, 0.1, 1], nan_as_null=False)})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2 = cudf.DataFrame({'a':[1, 11, 2, 34, 10], 'b':cudf.Series([0.23, 22, 3.2, None, 1])})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      a    b\n",
+       "0     1  NaN\n",
+       "1  <NA>  2.0\n",
+       "2     2  3.2\n",
+       "3     3  0.1\n",
+       "4  <NA>  1.0"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>11</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>34</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>10</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    a     b\n",
+       "0   1  0.23\n",
+       "1  11  22.0\n",
+       "2   2   3.2\n",
+       "3  34  <NA>\n",
+       "4  10   1.0"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4</td>\n",
+       "      <td>6.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>37</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      a     b\n",
+       "0     2   NaN\n",
+       "1  <NA>  24.0\n",
+       "2     4   6.4\n",
+       "3    37  <NA>\n",
+       "4  <NA>   2.0"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1 + df2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "While summing the data along a series, `NA` values will be treated as `0`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1    <NA>\n",
+       "2       2\n",
+       "3       3\n",
+       "4    <NA>\n",
+       "Name: a, dtype: int64"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1['a']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "6"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1['a'].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Since `NA` values are treated as `0`, the mean would result to 2 in this case `(1 + 0 + 2 + 3 + 0)/5 = 2`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2.0"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1['a'].mean()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To preserve `NA` values in the above calculations, `sum` & `mean` support `skipna` parameter.\n",
+    "By default it's value is\n",
+    "set to `True`, we can change it to `False` to preserve `NA` values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "nan"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1['a'].sum(skipna=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "nan"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1['a'].mean(skipna=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Cumulative methods like `cumsum` and `cumprod` ignore `NA` values by default."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1    <NA>\n",
+       "2       3\n",
+       "3       6\n",
+       "4    <NA>\n",
+       "Name: a, dtype: int64"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1['a'].cumsum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To preserve `NA` values in cumulative methods, provide `skipna=False`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1    <NA>\n",
+       "2    <NA>\n",
+       "3    <NA>\n",
+       "4    <NA>\n",
+       "Name: a, dtype: int64"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1['a'].cumsum(skipna=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sum/product of Null/nans"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The sum of an empty or all-NA Series of a DataFrame is 0."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.0"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cudf.Series([np.nan], nan_as_null=False).sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "nan"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cudf.Series([np.nan], nan_as_null=False).sum(skipna=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.0"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cudf.Series([], dtype='float64').sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The product of an empty or all-NA Series of a DataFrame is 1."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cudf.Series([np.nan], nan_as_null=False).prod()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "nan"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cudf.Series([np.nan], nan_as_null=False).prod(skipna=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cudf.Series([], dtype='float64').prod()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## NA values in GroupBy"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "`NA` groups in GroupBy are automatically excluded. For example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      a    b\n",
+       "0     1  NaN\n",
+       "1  <NA>  2.0\n",
+       "2     2  3.2\n",
+       "3     3  0.1\n",
+       "4  <NA>  1.0"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     b\n",
+       "a     \n",
+       "2  3.2\n",
+       "1  NaN\n",
+       "3  0.1"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1.groupby('a').mean()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "It is also possible to include `NA` in groups by passing `dropna=False`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>&lt;NA&gt;</th>\n",
+       "      <td>1.5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        b\n",
+       "a        \n",
+       "2     3.2\n",
+       "1     NaN\n",
+       "3     0.1\n",
+       "<NA>  1.5"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1.groupby('a', dropna=False).mean()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Inserting missing data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "All dtypes support insertion of missing value by assignment. Any specific location in series can made null by assigning it to `None`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "series = cudf.Series([1, 2, 3, 4])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    1\n",
+       "1    2\n",
+       "2    3\n",
+       "3    4\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "series"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "series[2] = None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       1\n",
+       "1       2\n",
+       "2    <NA>\n",
+       "3       4\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "series"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Filling missing values: fillna"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "`fillna()` can fill in `NA` & `NaN` values with non-NA data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      a    b\n",
+       "0     1  NaN\n",
+       "1  <NA>  2.0\n",
+       "2     2  3.2\n",
+       "3     3  0.1\n",
+       "4  <NA>  1.0"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    10.0\n",
+       "1     2.0\n",
+       "2     3.2\n",
+       "3     0.1\n",
+       "4     1.0\n",
+       "Name: b, dtype: float64"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1['b'].fillna(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Filling with cudf Object"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also fillna using a dict or Series that is alignable. The labels of the dict or index of the Series must match the columns of the frame you wish to fill. The use case of this is to fill a DataFrame with the mean of that column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cupy as cp\n",
+    "dff = cudf.DataFrame(cp.random.randn(10, 3), columns=list('ABC'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dff.iloc[3:5, 0] = np.nan"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dff.iloc[4:6, 1] = np.nan"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dff.iloc[5:8, 2] = np.nan"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>A</th>\n",
+       "      <th>B</th>\n",
+       "      <th>C</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.771245</td>\n",
+       "      <td>0.051024</td>\n",
+       "      <td>1.199239</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>-1.168041</td>\n",
+       "      <td>0.702664</td>\n",
+       "      <td>-0.270806</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-1.467009</td>\n",
+       "      <td>-0.143080</td>\n",
+       "      <td>-0.806151</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.610798</td>\n",
+       "      <td>-0.272895</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.396784</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>-0.439343</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.093102</td>\n",
+       "      <td>-0.764758</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.003098</td>\n",
+       "      <td>-0.722648</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>-0.095899</td>\n",
+       "      <td>-1.285156</td>\n",
+       "      <td>-0.300566</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.109465</td>\n",
+       "      <td>2.497843</td>\n",
+       "      <td>-1.199856</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          A         B         C\n",
+       "0  0.771245  0.051024  1.199239\n",
+       "1 -1.168041  0.702664 -0.270806\n",
+       "2 -1.467009 -0.143080 -0.806151\n",
+       "3       NaN -0.610798 -0.272895\n",
+       "4       NaN       NaN  1.396784\n",
+       "5 -0.439343       NaN       NaN\n",
+       "6  1.093102 -0.764758       NaN\n",
+       "7  0.003098 -0.722648       NaN\n",
+       "8 -0.095899 -1.285156 -0.300566\n",
+       "9  0.109465  2.497843 -1.199856"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>A</th>\n",
+       "      <th>B</th>\n",
+       "      <th>C</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.771245</td>\n",
+       "      <td>0.051024</td>\n",
+       "      <td>1.199239</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>-1.168041</td>\n",
+       "      <td>0.702664</td>\n",
+       "      <td>-0.270806</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-1.467009</td>\n",
+       "      <td>-0.143080</td>\n",
+       "      <td>-0.806151</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-0.149173</td>\n",
+       "      <td>-0.610798</td>\n",
+       "      <td>-0.272895</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.149173</td>\n",
+       "      <td>-0.034364</td>\n",
+       "      <td>1.396784</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>-0.439343</td>\n",
+       "      <td>-0.034364</td>\n",
+       "      <td>-0.036322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.093102</td>\n",
+       "      <td>-0.764758</td>\n",
+       "      <td>-0.036322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.003098</td>\n",
+       "      <td>-0.722648</td>\n",
+       "      <td>-0.036322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>-0.095899</td>\n",
+       "      <td>-1.285156</td>\n",
+       "      <td>-0.300566</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.109465</td>\n",
+       "      <td>2.497843</td>\n",
+       "      <td>-1.199856</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          A         B         C\n",
+       "0  0.771245  0.051024  1.199239\n",
+       "1 -1.168041  0.702664 -0.270806\n",
+       "2 -1.467009 -0.143080 -0.806151\n",
+       "3 -0.149173 -0.610798 -0.272895\n",
+       "4 -0.149173 -0.034364  1.396784\n",
+       "5 -0.439343 -0.034364 -0.036322\n",
+       "6  1.093102 -0.764758 -0.036322\n",
+       "7  0.003098 -0.722648 -0.036322\n",
+       "8 -0.095899 -1.285156 -0.300566\n",
+       "9  0.109465  2.497843 -1.199856"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dff.fillna(dff.mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>A</th>\n",
+       "      <th>B</th>\n",
+       "      <th>C</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.771245</td>\n",
+       "      <td>0.051024</td>\n",
+       "      <td>1.199239</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>-1.168041</td>\n",
+       "      <td>0.702664</td>\n",
+       "      <td>-0.270806</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-1.467009</td>\n",
+       "      <td>-0.143080</td>\n",
+       "      <td>-0.806151</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.610798</td>\n",
+       "      <td>-0.272895</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.034364</td>\n",
+       "      <td>1.396784</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>-0.439343</td>\n",
+       "      <td>-0.034364</td>\n",
+       "      <td>-0.036322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.093102</td>\n",
+       "      <td>-0.764758</td>\n",
+       "      <td>-0.036322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.003098</td>\n",
+       "      <td>-0.722648</td>\n",
+       "      <td>-0.036322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>-0.095899</td>\n",
+       "      <td>-1.285156</td>\n",
+       "      <td>-0.300566</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.109465</td>\n",
+       "      <td>2.497843</td>\n",
+       "      <td>-1.199856</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          A         B         C\n",
+       "0  0.771245  0.051024  1.199239\n",
+       "1 -1.168041  0.702664 -0.270806\n",
+       "2 -1.467009 -0.143080 -0.806151\n",
+       "3       NaN -0.610798 -0.272895\n",
+       "4       NaN -0.034364  1.396784\n",
+       "5 -0.439343 -0.034364 -0.036322\n",
+       "6  1.093102 -0.764758 -0.036322\n",
+       "7  0.003098 -0.722648 -0.036322\n",
+       "8 -0.095899 -1.285156 -0.300566\n",
+       "9  0.109465  2.497843 -1.199856"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dff.fillna(dff.mean()[1:3])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Dropping axis labels with missing data: dropna"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Missing data can be excluded using `dropna()`:\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      a    b\n",
+       "0     1  NaN\n",
+       "1  <NA>  2.0\n",
+       "2     2  3.2\n",
+       "3     3  0.1\n",
+       "4  <NA>  1.0"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a    b\n",
+       "2  2  3.2\n",
+       "3  3  0.1"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1.dropna(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: []\n",
+       "Index: [0, 1, 2, 3, 4]"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1.dropna(axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "An equivalent `dropna()` is available for Series. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    1\n",
+       "2    2\n",
+       "3    3\n",
+       "Name: a, dtype: int64"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1['a'].dropna()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Replacing generic values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Often times we want to replace arbitrary values with other values.\n",
+    "\n",
+    "`replace()` in Series and `replace()` in DataFrame provides an efficient yet flexible way to perform such replacements."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "series = cudf.Series([0.0, 1.0, 2.0, 3.0, 4.0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0.0\n",
+       "1    1.0\n",
+       "2    2.0\n",
+       "3    3.0\n",
+       "4    4.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "series"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    5.0\n",
+       "1    1.0\n",
+       "2    2.0\n",
+       "3    3.0\n",
+       "4    4.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "series.replace(0, 5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also replace any value with a `<NA>` value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    <NA>\n",
+       "1     1.0\n",
+       "2     2.0\n",
+       "3     3.0\n",
+       "4     4.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "series.replace(0, None)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can replace a list of values by a list of other values:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    4.0\n",
+       "1    3.0\n",
+       "2    2.0\n",
+       "3    1.0\n",
+       "4    0.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "series.replace([0, 1, 2, 3, 4], [4, 3, 2, 1, 0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also specify a mapping dict:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     10.0\n",
+       "1    100.0\n",
+       "2      2.0\n",
+       "3      3.0\n",
+       "4      4.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "series.replace({0: 10, 1: 100})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For a DataFrame, you can specify individual values by column:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = cudf.DataFrame({\"a\": [0, 1, 2, 3, 4], \"b\": [5, 6, 7, 8, 9]})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a  b\n",
+       "0  0  5\n",
+       "1  1  6\n",
+       "2  2  7\n",
+       "3  3  8\n",
+       "4  4  9"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>100</td>\n",
+       "      <td>100</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     a    b\n",
+       "0  100  100\n",
+       "1    1    6\n",
+       "2    2    7\n",
+       "3    3    8\n",
+       "4    4    9"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.replace({\"a\": 0, \"b\": 5}, 100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## String/regular expression replacement"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "cudf supports replacing string values using `replace` API:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = {\"a\": list(range(4)), \"b\": list(\"ab..\"), \"c\": [\"a\", \"b\", None, \"d\"]}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = cudf.DataFrame(d)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>a</td>\n",
+       "      <td>a</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>b</td>\n",
+       "      <td>b</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>.</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>.</td>\n",
+       "      <td>d</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a  b     c\n",
+       "0  0  a     a\n",
+       "1  1  b     b\n",
+       "2  2  .  <NA>\n",
+       "3  3  .     d"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>a</td>\n",
+       "      <td>a</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>b</td>\n",
+       "      <td>b</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>A Dot</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>A Dot</td>\n",
+       "      <td>d</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a      b     c\n",
+       "0  0      a     a\n",
+       "1  1      b     b\n",
+       "2  2  A Dot  <NA>\n",
+       "3  3  A Dot     d"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.replace(\".\", \"A Dot\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>a</td>\n",
+       "      <td>a</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>A Dot</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>A Dot</td>\n",
+       "      <td>d</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a      b     c\n",
+       "0  0      a     a\n",
+       "1  1   <NA>  <NA>\n",
+       "2  2  A Dot  <NA>\n",
+       "3  3  A Dot     d"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.replace([\".\", \"b\"], [\"A Dot\", None])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Replace a few different values (list -> list):\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>b</td>\n",
+       "      <td>b</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>b</td>\n",
+       "      <td>b</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>--</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>--</td>\n",
+       "      <td>d</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a   b     c\n",
+       "0  0   b     b\n",
+       "1  1   b     b\n",
+       "2  2  --  <NA>\n",
+       "3  3  --     d"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.replace([\"a\", \".\"], [\"b\", \"--\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Only search in column 'b' (dict -> dict):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>a</td>\n",
+       "      <td>a</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>b</td>\n",
+       "      <td>b</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>replacement value</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>replacement value</td>\n",
+       "      <td>d</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   a                  b     c\n",
+       "0  0                  a     a\n",
+       "1  1                  b     b\n",
+       "2  2  replacement value  <NA>\n",
+       "3  3  replacement value     d"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.replace({\"b\": \".\"}, {\"b\": \"replacement value\"})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Numeric replacement"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "`replace()` can also be used similar to `fillna()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = cudf.DataFrame(cp.random.randn(10, 2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[np.random.rand(df.shape[0]) > 0.5] = 1.5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.123160746</td>\n",
+       "      <td>1.09464783</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.68137677</td>\n",
+       "      <td>-0.357346253</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.173285961</td>\n",
+       "      <td>-0.968616065</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.147922362</td>\n",
+       "      <td>-0.154880098</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             0             1\n",
+       "0         <NA>          <NA>\n",
+       "1         <NA>          <NA>\n",
+       "2  0.123160746    1.09464783\n",
+       "3         <NA>          <NA>\n",
+       "4         <NA>          <NA>\n",
+       "5   0.68137677  -0.357346253\n",
+       "6         <NA>          <NA>\n",
+       "7         <NA>          <NA>\n",
+       "8  1.173285961  -0.968616065\n",
+       "9  0.147922362  -0.154880098"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.replace(1.5, None)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Replacing more than one value is possible by passing a list.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df00 = df.iloc[0, 0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.123161</td>\n",
+       "      <td>1.094648</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.681377</td>\n",
+       "      <td>-0.357346</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.173286</td>\n",
+       "      <td>-0.968616</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.147922</td>\n",
+       "      <td>-0.154880</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          0         1\n",
+       "0  5.000000  5.000000\n",
+       "1  5.000000  5.000000\n",
+       "2  0.123161  1.094648\n",
+       "3  5.000000  5.000000\n",
+       "4  5.000000  5.000000\n",
+       "5  0.681377 -0.357346\n",
+       "6  5.000000  5.000000\n",
+       "7  5.000000  5.000000\n",
+       "8  1.173286 -0.968616\n",
+       "9  0.147922 -0.154880"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.replace([1.5, df00], [5, 10])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also operate on the DataFrame in place:\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.replace(1.5, None, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.123160746</td>\n",
+       "      <td>1.09464783</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.68137677</td>\n",
+       "      <td>-0.357346253</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.173285961</td>\n",
+       "      <td>-0.968616065</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.147922362</td>\n",
+       "      <td>-0.154880098</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             0             1\n",
+       "0         <NA>          <NA>\n",
+       "1         <NA>          <NA>\n",
+       "2  0.123160746    1.09464783\n",
+       "3         <NA>          <NA>\n",
+       "4         <NA>          <NA>\n",
+       "5   0.68137677  -0.357346253\n",
+       "6         <NA>          <NA>\n",
+       "7         <NA>          <NA>\n",
+       "8  1.173285961  -0.968616065\n",
+       "9  0.147922362  -0.154880098"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/cudf/source/user_guide/guide-to-udfs.ipynb b/docs/cudf/source/user_guide/guide-to-udfs.ipynb
new file mode 100644
index 00000000000..3299414ac7e
--- /dev/null
+++ b/docs/cudf/source/user_guide/guide-to-udfs.ipynb
@@ -0,0 +1,1716 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Overview of User Defined Functions with cuDF"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Like many tabular data processing APIs, cuDF provides a range of composable, DataFrame style operators. While out of the box functions are flexible and useful, it is sometimes necessary to write custom code, or user-defined functions (UDFs), that can be applied to rows, columns, and other groupings of the cells making up the DataFrame.\n",
+    "\n",
+    "In conjunction with the broader GPU PyData ecosystem, cuDF provides interfaces to run UDFs on a variety of data structures. Currently, we can only execute UDFs on numeric and Boolean typed data (support for strings is being planned). This guide covers writing and executing UDFs on the following data structures:\n",
+    "\n",
+    "- Series\n",
+    "- DataFrame\n",
+    "- Rolling Windows Series\n",
+    "- Groupby DataFrames\n",
+    "- CuPy NDArrays\n",
+    "- Numba DeviceNDArrays\n",
+    "\n",
+    "It also demonstrates cuDF's default null handling behavior, and how to write UDFs that can interact with null values in a limited fashion."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "\n",
+    "When cuDF executes a UDF, it gets just-in-time (JIT) compiled into a CUDA kernel (either explicitly or implicitly) and is run on the GPU. Exploring CUDA and GPU architecture in-depth is out of scope for this guide. At a high level:\n",
+    "\n",
+    "- Compute is spread across multiple \"blocks\", which have access to both global memory and their own block local memory\n",
+    "- Within each block, many \"threads\" operate independently and simultaneously access their block-specific shared memory with low latency\n",
+    "\n",
+    "\n",
+    "This guide covers APIs that automatically handle dividing columns into chunks and assigning them into different GPU blocks for parallel computation (see [apply_chunks](https://docs.rapids.ai/api/cudf/stable/api.html#cudf.core.dataframe.DataFrame.apply_chunks) or the [numba CUDA JIT API](https://numba.pydata.org/numba-doc/dev/cuda/index.html) if you need to control this yourself)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Series UDFs\n",
+    "\n",
+    "You can execute UDFs on Series in two ways:\n",
+    "\n",
+    "- Writing a standard Python function and using `applymap`\n",
+    "- Writing a Numba kernel and using Numba's `forall` syntax\n",
+    "\n",
+    "Using `applymap` is simpler, but writing a Numba kernel offers the flexibility to build more complex functions (we'll be writing only simple kernels in this guide).\n",
+    "\n",
+    "Let's start by importing a few libraries and creating a DataFrame of several Series."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.691674</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Dan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.480099</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Bob</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-0.473370</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Xavier</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.067479</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Alice</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.970850</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Sarah</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          a      b       c\n",
+       "0 -0.691674   True     Dan\n",
+       "1  0.480099  False     Bob\n",
+       "2 -0.473370   True  Xavier\n",
+       "3  0.067479   True   Alice\n",
+       "4 -0.970850  False   Sarah"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import cudf\n",
+    "from cudf.datasets import randomdata \n",
+    "\n",
+    "df = randomdata(nrows=10, dtypes={'a':float, 'b':bool, 'c':str}, seed=12)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we'll define a basic Python function and call it as a UDF with `applymap`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def udf(x):\n",
+    "    if x > 0:\n",
+    "        return x + 5\n",
+    "    else:\n",
+    "        return x - 5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0   -5.691674\n",
+       "1    5.480099\n",
+       "2   -5.473370\n",
+       "3    5.067479\n",
+       "4   -5.970850\n",
+       "5    5.837494\n",
+       "6    5.801430\n",
+       "7   -5.933157\n",
+       "8    5.913899\n",
+       "9   -5.725581\n",
+       "Name: a, dtype: float64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['a'].applymap(udf)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "That's all there is to it. For more complex UDFs, though, we'd want to write an actual Numba kernel.\n",
+    "\n",
+    "For more complex logic (for instance, accessing values from multiple input columns or rows, you'll need to use a more complex API. There are several types. First we'll cover writing and running a Numba JITed CUDA kernel.\n",
+    "\n",
+    "The easiest way to write a Numba kernel is to use `cuda.grid(1)` to manage our thread indices, and then leverage Numba's `forall` method to configure the kernel for us. Below, define a basic multiplication kernel as an example and use `@cuda.jit` to compile it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from numba import cuda\n",
+    "\n",
+    "@cuda.jit\n",
+    "def multiply(in_col, out_col, multiplier):\n",
+    "    i = cuda.grid(1)\n",
+    "    if i < in_col.size: # boundary guard\n",
+    "        out_col[i] = in_col[i] * multiplier"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This kernel will take an input array, multiply it by a configurable value (supplied at runtime), and store the result in an output array. Notice that we wrapped our logic in an `if` statement. Because we can launch more threads than the size of our array, we need to make sure that we don't use threads with an index that would be out of bounds. Leaving this out can result in undefined behavior.\n",
+    "\n",
+    "To execute our kernel, we just need to pre-allocate an output array and leverage the `forall` method mentioned above. First, we create a Series of all `0.0` in our DataFrame, since we want `float64` output. Next, we run the kernel with `forall`. `forall` requires us to specify our desired number of tasks, so we'll supply in the length of our Series (which we store in `size`). The [__cuda_array_interface__](https://numba.pydata.org/numba-doc/dev/cuda/cuda_array_interface.html) is what allows us to directly call our Numba kernel on our Series."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "size = len(df['a'])\n",
+    "df['e'] = 0.0\n",
+    "multiply.forall(size)(df['a'], df['e'], 10.0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "After calling our kernel, our DataFrame is now populated with the result."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>e</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.691674</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Dan</td>\n",
+       "      <td>-6.916743</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.480099</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Bob</td>\n",
+       "      <td>4.800994</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-0.473370</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Xavier</td>\n",
+       "      <td>-4.733700</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.067479</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Alice</td>\n",
+       "      <td>0.674788</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.970850</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Sarah</td>\n",
+       "      <td>-9.708501</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          a      b       c         e\n",
+       "0 -0.691674   True     Dan -6.916743\n",
+       "1  0.480099  False     Bob  4.800994\n",
+       "2 -0.473370   True  Xavier -4.733700\n",
+       "3  0.067479   True   Alice  0.674788\n",
+       "4 -0.970850  False   Sarah -9.708501"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note that, while we're operating on the Series `df['e']`, the kernel executes on the [DeviceNDArray](https://numba.pydata.org/numba-doc/dev/cuda/memory.html#device-arrays) \\\"underneath\\\" the Series. If you ever need to access the underlying DeviceNDArray of a Series, you can do so with `Series.data.mem`. We'll use this during an example in the Null Handling section of this guide."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## DataFrame UDFs\n",
+    "\n",
+    "We could apply a UDF on a DataFrame like we did above with `forall`. We'd need to write a kernel that expects multiple inputs, and pass multiple Series as arguments when we execute our kernel. Because this is fairly common and can be difficult to manage, cuDF provides two APIs to streamline this: `apply_rows` and `apply_chunks`. Below, we walk through an example of using `apply_rows`. `apply_chunks` works in a similar way, but also offers more control over low-level kernel behavior.\n",
+    "\n",
+    "Now that we have two numeric columns in our DataFrame, let's write a kernel that uses both of them."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def conditional_add(x, y, out):\n",
+    "    for i, (a, e) in enumerate(zip(x, y)):\n",
+    "        if a > 0:\n",
+    "            out[i] = a + e\n",
+    "        else:\n",
+    "            out[i] = a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Notice that we need to `enumerate` through our `zipped` function arguments (which either match or are mapped to our input column names). We can pass this kernel to `apply_rows`. We'll need to specify a few arguments:\n",
+    "- incols\n",
+    "    - A list of names of input columns that match the function arguments. Or, a dictionary mapping input column names to their corresponding function arguments such as `{'col1': 'arg1'}`.\n",
+    "- outcols\n",
+    "    - A dictionary defining our output column names and their data types. These names must match our function arguments.\n",
+    "- kwargs (optional)\n",
+    "    - We can optionally pass keyword arguments as a dictionary. Since we don't need any, we pass an empty one.\n",
+    "    \n",
+    "While it looks like our function is looping sequentially through our columns, it actually executes in parallel in multiple threads on the GPU. This parallelism is the heart of GPU-accelerated computing. With that background, we're ready to use our UDF."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>e</th>\n",
+       "      <th>out</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.691674</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Dan</td>\n",
+       "      <td>-6.916743</td>\n",
+       "      <td>-0.691674</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.480099</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Bob</td>\n",
+       "      <td>4.800994</td>\n",
+       "      <td>5.281093</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-0.473370</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Xavier</td>\n",
+       "      <td>-4.733700</td>\n",
+       "      <td>-0.473370</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.067479</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Alice</td>\n",
+       "      <td>0.674788</td>\n",
+       "      <td>0.742267</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.970850</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Sarah</td>\n",
+       "      <td>-9.708501</td>\n",
+       "      <td>-0.970850</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          a      b       c         e       out\n",
+       "0 -0.691674   True     Dan -6.916743 -0.691674\n",
+       "1  0.480099  False     Bob  4.800994  5.281093\n",
+       "2 -0.473370   True  Xavier -4.733700 -0.473370\n",
+       "3  0.067479   True   Alice  0.674788  0.742267\n",
+       "4 -0.970850  False   Sarah -9.708501 -0.970850"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = df.apply_rows(conditional_add, \n",
+    "                   incols={'a':'x', 'e':'y'},\n",
+    "                   outcols={'out': np.float64},\n",
+    "                   kwargs={}\n",
+    "                  )\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As expected, we see our conditional addition worked. At this point, we've successfully executed UDFs on the core data structures of cuDF."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Rolling Window UDFs\n",
+    "\n",
+    "For time-series data, we may need to operate on a small \\\"window\\\" of our column at a time, processing each portion independently. We could slide (\\\"roll\\\") this window over the entire column to answer questions like \\\"What is the 3-day moving average of a stock price over the past year?\"\n",
+    "\n",
+    "We can apply more complex functions to rolling windows to `rolling` Series and DataFrames using `apply`. This example is adapted from cuDF's [API documentation](https://docs.rapids.ai/api/cudf/stable/api.html#cudf.core.dataframe.DataFrame.rolling). First, we'll create an example Series and then create a `rolling` object from the Series."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    16.0\n",
+       "1    25.0\n",
+       "2    36.0\n",
+       "3    49.0\n",
+       "4    64.0\n",
+       "5    81.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ser = cudf.Series([16, 25, 36, 49, 64, 81], dtype='float64')\n",
+    "ser"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Rolling [window=3,min_periods=3,center=False]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rolling = ser.rolling(window=3, min_periods=3, center=False)\n",
+    "rolling"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we'll define a function to use on our rolling windows. We created this one to highlight how you can include things like loops, mathematical functions, and conditionals. Rolling window UDFs do not yet support null values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import math\n",
+    "\n",
+    "def example_func(window):\n",
+    "    b = 0\n",
+    "    for a in window:\n",
+    "        b = max(b, math.sqrt(a))\n",
+    "    if b == 8:\n",
+    "        return 100    \n",
+    "    return b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can execute the function by passing it to `apply`. With `window=3`, `min_periods=3`, and `center=False`, our first two values are `null`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     null\n",
+       "1     null\n",
+       "2      6.0\n",
+       "3      7.0\n",
+       "4    100.0\n",
+       "5      9.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rolling.apply(example_func)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can apply this function to every column in a DataFrame, too."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>55.0</td>\n",
+       "      <td>55.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>56.0</td>\n",
+       "      <td>56.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>57.0</td>\n",
+       "      <td>57.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>58.0</td>\n",
+       "      <td>58.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>59.0</td>\n",
+       "      <td>59.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      a     b\n",
+       "0  55.0  55.0\n",
+       "1  56.0  56.0\n",
+       "2  57.0  57.0\n",
+       "3  58.0  58.0\n",
+       "4  59.0  59.0"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df2 = cudf.DataFrame()\n",
+    "df2['a'] = np.arange(55, 65, dtype='float64')\n",
+    "df2['b'] = np.arange(55, 65, dtype='float64')\n",
+    "df2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>null</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>null</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>7.549834435</td>\n",
+       "      <td>7.549834435</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>7.615773106</td>\n",
+       "      <td>7.615773106</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>7.681145748</td>\n",
+       "      <td>7.681145748</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>7.745966692</td>\n",
+       "      <td>7.745966692</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>7.810249676</td>\n",
+       "      <td>7.810249676</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7.874007874</td>\n",
+       "      <td>7.874007874</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>7.937253933</td>\n",
+       "      <td>7.937253933</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>100.0</td>\n",
+       "      <td>100.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             a            b\n",
+       "0         null         null\n",
+       "1         null         null\n",
+       "2  7.549834435  7.549834435\n",
+       "3  7.615773106  7.615773106\n",
+       "4  7.681145748  7.681145748\n",
+       "5  7.745966692  7.745966692\n",
+       "6  7.810249676  7.810249676\n",
+       "7  7.874007874  7.874007874\n",
+       "8  7.937253933  7.937253933\n",
+       "9        100.0        100.0"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rolling = df2.rolling(window=3, min_periods=3, center=False)\n",
+    "rolling.apply(example_func)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## GroupBy DataFrame UDFs\n",
+    "\n",
+    "We can also apply UDFs to grouped DataFrames using `apply_grouped`. This example is also drawn and adapted from the RAPIDS [API documentation](https://docs.rapids.ai/api/cudf/stable/api.html#cudf.core.groupby.groupby.GroupBy.apply_grouped).\n",
+    "\n",
+    "First, we'll group our DataFrame based on column `b`, which is either True or False. Note that we currently need to pass `method=\"cudf\"` to use UDFs with GroupBy objects."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>e</th>\n",
+       "      <th>out</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.691674</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Dan</td>\n",
+       "      <td>-6.916743</td>\n",
+       "      <td>-0.691674</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.480099</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Bob</td>\n",
+       "      <td>4.800994</td>\n",
+       "      <td>5.281093</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-0.473370</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Xavier</td>\n",
+       "      <td>-4.733700</td>\n",
+       "      <td>-0.473370</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.067479</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Alice</td>\n",
+       "      <td>0.674788</td>\n",
+       "      <td>0.742267</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.970850</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Sarah</td>\n",
+       "      <td>-9.708501</td>\n",
+       "      <td>-0.970850</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          a      b       c         e       out\n",
+       "0 -0.691674   True     Dan -6.916743 -0.691674\n",
+       "1  0.480099  False     Bob  4.800994  5.281093\n",
+       "2 -0.473370   True  Xavier -4.733700 -0.473370\n",
+       "3  0.067479   True   Alice  0.674788  0.742267\n",
+       "4 -0.970850  False   Sarah -9.708501 -0.970850"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/envs/rapids/lib/python3.7/site-packages/cudf/core/dataframe.py:2559: UserWarning: as_index==True not supported due to the lack of multi-index with legacy groupby function. Use hash method for multi-index\n",
+      "  \"as_index==True not supported due to the lack of \"\n"
+     ]
+    }
+   ],
+   "source": [
+    "grouped = df.groupby(['b'], method=\"cudf\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next we'll define a function to apply to each group independently. In this case, we'll take the rolling average of column `e`, and call that new column `rolling_avg_e`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rolling_avg(e, rolling_avg_e):\n",
+    "    win_size = 3\n",
+    "    for i in range(cuda.threadIdx.x, len(e), cuda.blockDim.x):\n",
+    "        if i < win_size - 1:\n",
+    "            # If there is not enough data to fill the window,\n",
+    "            # take the average to be NaN\n",
+    "            rolling_avg_e[i] = np.nan\n",
+    "        else:\n",
+    "            total = 0\n",
+    "            for j in range(i - win_size + 1, i + 1):\n",
+    "                total += e[j]\n",
+    "            rolling_avg_e[i] = total / win_size"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can execute this with a very similar API to `apply_rows`. This time, though, it's going to execute independently for each group."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>e</th>\n",
+       "      <th>out</th>\n",
+       "      <th>rolling_avg_e</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.480099</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Bob</td>\n",
+       "      <td>4.800994</td>\n",
+       "      <td>5.281093</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>-0.970850</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Sarah</td>\n",
+       "      <td>-9.708501</td>\n",
+       "      <td>-0.970850</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.801430</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Sarah</td>\n",
+       "      <td>8.014297</td>\n",
+       "      <td>8.815727</td>\n",
+       "      <td>1.035597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-0.933157</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Quinn</td>\n",
+       "      <td>-9.331571</td>\n",
+       "      <td>-0.933157</td>\n",
+       "      <td>-3.675258</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.691674</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Dan</td>\n",
+       "      <td>-6.916743</td>\n",
+       "      <td>-0.691674</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>-0.473370</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Xavier</td>\n",
+       "      <td>-4.733700</td>\n",
+       "      <td>-0.473370</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.067479</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Alice</td>\n",
+       "      <td>0.674788</td>\n",
+       "      <td>0.742267</td>\n",
+       "      <td>-3.658552</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.837494</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Wendy</td>\n",
+       "      <td>8.374940</td>\n",
+       "      <td>9.212434</td>\n",
+       "      <td>1.438676</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.913899</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Ursula</td>\n",
+       "      <td>9.138987</td>\n",
+       "      <td>10.052885</td>\n",
+       "      <td>6.062905</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>-0.725581</td>\n",
+       "      <td>True</td>\n",
+       "      <td>George</td>\n",
+       "      <td>-7.255814</td>\n",
+       "      <td>-0.725581</td>\n",
+       "      <td>3.419371</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          a      b       c         e        out  rolling_avg_e\n",
+       "0  0.480099  False     Bob  4.800994   5.281093            NaN\n",
+       "1 -0.970850  False   Sarah -9.708501  -0.970850            NaN\n",
+       "2  0.801430  False   Sarah  8.014297   8.815727       1.035597\n",
+       "3 -0.933157  False   Quinn -9.331571  -0.933157      -3.675258\n",
+       "4 -0.691674   True     Dan -6.916743  -0.691674            NaN\n",
+       "5 -0.473370   True  Xavier -4.733700  -0.473370            NaN\n",
+       "6  0.067479   True   Alice  0.674788   0.742267      -3.658552\n",
+       "7  0.837494   True   Wendy  8.374940   9.212434       1.438676\n",
+       "8  0.913899   True  Ursula  9.138987  10.052885       6.062905\n",
+       "9 -0.725581   True  George -7.255814  -0.725581       3.419371"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results = grouped.apply_grouped(rolling_avg,\n",
+    "                               incols=['e'],\n",
+    "                               outcols=dict(rolling_avg_e=np.float64))\n",
+    "results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Notice how, with a window size of three in the kernel, the first two values in each group for our output column are null."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Numba Kernels on CuPy Arrays\n",
+    "\n",
+    "We can also execute Numba kernels on CuPy NDArrays, again thanks to the `__cuda_array_interface__`. We can even run the same UDF on the Series and the CuPy array. First, we define a Series and then create a CuPy array from that Series."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 1.,  2.,  3.,  4., 10.])"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import cupy as cp\n",
+    "\n",
+    "s = cudf.Series([1.0, 2, 3, 4, 10])\n",
+    "arr = cp.asarray(s)\n",
+    "arr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we define a UDF and execute it on our Series. We need to allocate a Series of the same size for our output, which we'll call `out`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     5\n",
+       "1    10\n",
+       "2    15\n",
+       "3    20\n",
+       "4    50\n",
+       "dtype: int32"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from cudf.utils import cudautils\n",
+    "\n",
+    "@cuda.jit\n",
+    "def multiply_by_5(x, out):\n",
+    "    i = cuda.grid(1)\n",
+    "    if i < x.size:\n",
+    "        out[i] = x[i] * 5\n",
+    "        \n",
+    "out = cudf.Series(cudautils.zeros(len(s), dtype='int32'))\n",
+    "multiply_by_5.forall(s.shape[0])(s, out)\n",
+    "out"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, we execute the same function on our array. We allocate an empty array `out` to store our results."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 5., 10., 15., 20., 50.])"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "out = cp.empty_like(arr)\n",
+    "multiply_by_5.forall(arr.size)(arr, out)\n",
+    "out"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Null Handling in UDFs\n",
+    "\n",
+    "Above, we covered most basic usage of UDFs with cuDF.\n",
+    "\n",
+    "The remainder of the guide focuses on considerations for executing UDFs on DataFrames containing null values. If your UDFs will read or write any column containing nulls, **you should read this section carefully**.\n",
+    "\n",
+    "Writing UDFs that can handle null values is complicated by the fact that a separate bitmask is used to identify when a value is valid and when it's null. By default, DataFrame methods for applying UDFs like `apply_rows` will handle nulls pessimistically (all rows with a null value will be removed from the output if they are used in the kernel). Exploring how not handling not pessimistically can lead to undefined behavior is outside the scope of this guide. Suffice it to say, pessimistic null handling is the safe and consistent approach. You can see an example below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>963</td>\n",
+       "      <td>1005</td>\n",
+       "      <td>997</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>977</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>null</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>1019</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1078</td>\n",
+       "      <td>null</td>\n",
+       "      <td>985</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>979</td>\n",
+       "      <td>982</td>\n",
+       "      <td>1011</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      a     b     c\n",
+       "0   963  1005   997\n",
+       "1   977  1026  null\n",
+       "2  null  1026  1019\n",
+       "3  1078  null   985\n",
+       "4   979   982  1011"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def gpu_add(a, b, out):\n",
+    "    for i, (x, y) in enumerate(zip(a, b)):\n",
+    "        out[i] = x + y\n",
+    "\n",
+    "df = randomdata(nrows=5, dtypes={'a':int, 'b':int, 'c':int}, seed=12)\n",
+    "df.loc[2, 'a'] = None\n",
+    "df.loc[3, 'b'] = None\n",
+    "df.loc[1, 'c'] = None\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In the dataframe above, there are three null values. Each column has a null in a different row. When we use our UDF with `apply_rows`, our output should have two nulls due to pessimistic null handling (because we're not using column `c`, the null value there does not matter to us)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>c</th>\n",
+       "      <th>out</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>963</td>\n",
+       "      <td>1005</td>\n",
+       "      <td>997</td>\n",
+       "      <td>1968.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>977</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>null</td>\n",
+       "      <td>2003.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>null</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>1019</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1078</td>\n",
+       "      <td>null</td>\n",
+       "      <td>985</td>\n",
+       "      <td>null</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>979</td>\n",
+       "      <td>982</td>\n",
+       "      <td>1011</td>\n",
+       "      <td>1961.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      a     b     c     out\n",
+       "0   963  1005   997  1968.0\n",
+       "1   977  1026  null  2003.0\n",
+       "2  null  1026  1019    null\n",
+       "3  1078  null   985    null\n",
+       "4   979   982  1011  1961.0"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = df.apply_rows(gpu_add, \n",
+    "              incols=['a', 'b'],\n",
+    "              outcols={'out':np.float64},\n",
+    "              kwargs={})\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As expected, we end up with two nulls in our output. The null values from the columns we used propogated to our output, but the null from the column we ignored did not."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Operating on Null Values\n",
+    "\n",
+    "If you don't need to conditionally handle null values in your UDFs, feel free to skip these final two sections.\n",
+    "\n",
+    "As a developer or data scientist, you may sometimes need to write UDFs that operate on null values. This means you need to think about the null bitmask array when writing your UDF. As a note, cuDF allows you to turn off pessimistic null handling in `apply_rows`. Instead of doing this, if you need to operate on null values we recommend writing standard `Numba.cuda` kernels. To help you interact with null bitmasks from Python, cuDF provides the `mask_get` utility function. The following example illustrates how you can use `mask_get` in Numba kernels like we used earlier in this guide."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Standard Numba Kernels\n",
+    "\n",
+    "First, we import `mask_get` and create a DataFrame with some null values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.691674315</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.480099393</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>null</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.067478787</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>null</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              a      b\n",
+       "0  -0.691674315   True\n",
+       "1   0.480099393  False\n",
+       "2          null   True\n",
+       "3   0.067478787   True\n",
+       "4          null  False"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from cudf.utils.cudautils import mask_get\n",
+    "\n",
+    "df = randomdata(nrows=10, dtypes={'a':float, 'b':bool}, seed=12)\n",
+    "df.loc[[2,4], 'a'] = None\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we'll define a simple kernel like before, with a couple of differences. This kernel needs access to the null bitmask, so we include a `validity_mask` argument. We also wrap our logic in a conditional based on the results of `mask_get`:\n",
+    "- If the result of `mask_get` for that index **is** valid (there is a value), do the multiplication\n",
+    "- If the result of `mask_get` for that index **is not** valid (it's null), set the output -999999"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@cuda.jit\n",
+    "def gpu_kernel_masked(in_col, validity_mask, out_col, multiplier):\n",
+    "    i = cuda.grid(1)\n",
+    "    if i < in_col.size:\n",
+    "        valid = mask_get(validity_mask, i)\n",
+    "        if valid:\n",
+    "            out_col[i] = in_col[i] * multiplier\n",
+    "        else:\n",
+    "            out_col[i] = -999999"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now grab the underlying DeviceArrays and execute our kernel like we did previously, except that this time we also pass in the DeviceArray of our column's null mask. Because Numba doesn't yet handle masked GPU arrays, we can't directly pass our `Series` here."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>result</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.691674315</td>\n",
+       "      <td>True</td>\n",
+       "      <td>-6.916743</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.480099393</td>\n",
+       "      <td>False</td>\n",
+       "      <td>4.800994</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>null</td>\n",
+       "      <td>True</td>\n",
+       "      <td>-999999.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.067478787</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.674788</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>null</td>\n",
+       "      <td>False</td>\n",
+       "      <td>-999999.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              a      b         result\n",
+       "0  -0.691674315   True      -6.916743\n",
+       "1   0.480099393  False       4.800994\n",
+       "2          null   True -999999.000000\n",
+       "3   0.067478787   True       0.674788\n",
+       "4          null  False -999999.000000"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import rmm # RAPIDS Memory Manager\n",
+    "\n",
+    "a_dary = df.a._column.data.mem\n",
+    "a_mask = df.a.nullmask.mem\n",
+    "output_dary = rmm.device_array_like(a_dary)\n",
+    "\n",
+    "gpu_kernel_masked.forall(output_dary.size)(a_dary, a_mask, output_dary, 10)\n",
+    "df['result'] = output_dary\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "This guide has covered a lot of content. At this point, you should hopefully feel comfortable writing UDFs (with or without null values) that operate on\n",
+    "\n",
+    "- Series\n",
+    "- DataFrame\n",
+    "- Rolling Windows\n",
+    "- GroupBy DataFrames\n",
+    "- CuPy NDArrays\n",
+    "- Numba DeviceNDArrays\n",
+    "\n",
+    "\n",
+    "For more information please see the [cuDF](https://docs.rapids.ai/api/cudf/nightly/), [Numba.cuda](https://numba.pydata.org/numba-doc/dev/cuda/index.html), and [CuPy](https://docs-cupy.chainer.org/en/stable/) documentation."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/cudf/source/user_guide/index.rst b/docs/cudf/source/user_guide/index.rst
new file mode 100644
index 00000000000..1061008eb3c
--- /dev/null
+++ b/docs/cudf/source/user_guide/index.rst
@@ -0,0 +1,12 @@
+==========
+User Guide
+==========
+
+
+.. toctree::
+   :maxdepth: 2
+
+   10min.ipynb
+   10min-cudf-cupy.ipynb
+   guide-to-udfs.ipynb
+   Working-with-missing-data.ipynb

From 438be0a648e39609d351da7ee98874fa39cccb1a Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Mon, 17 May 2021 12:11:01 -0700
Subject: [PATCH 02/49] update series

---
 docs/cudf/source/api_docs/series.rst | 299 +++++++++------------------
 1 file changed, 102 insertions(+), 197 deletions(-)

diff --git a/docs/cudf/source/api_docs/series.rst b/docs/cudf/source/api_docs/series.rst
index 6e0943930a1..e8030196605 100644
--- a/docs/cudf/source/api_docs/series.rst
+++ b/docs/cudf/source/api_docs/series.rst
@@ -1,3 +1,6 @@
+.. meta::
+   :my-var: a-for-apple
+
 ======
 Series
 ======
@@ -18,21 +21,15 @@ Attributes
    :toctree: api/
 
    Series.index
-   Series.array
    Series.values
    Series.dtype
    Series.shape
-   Series.nbytes
    Series.ndim
    Series.size
-   Series.T
    Series.memory_usage
-   Series.hasnans
+   Series.has_nulls
    Series.empty
-   Series.dtypes
    Series.name
-   Series.flags
-   Series.set_flags
 
 Conversion
 ----------
@@ -40,13 +37,7 @@ Conversion
    :toctree: api/
 
    Series.astype
-   Series.convert_dtypes
-   Series.infer_objects
    Series.copy
-   Series.bool
-   Series.to_numpy
-   Series.to_period
-   Series.to_timestamp
    Series.to_list
    Series.__array__
 
@@ -55,18 +46,12 @@ Indexing, iteration
 .. autosummary::
    :toctree: api/
 
-   Series.get
-   Series.at
-   Series.iat
    Series.loc
    Series.iloc
    Series.__iter__
    Series.items
    Series.iteritems
    Series.keys
-   Series.pop
-   Series.item
-   Series.xs
 
 For more information on ``.at``, ``.iat``, ``.loc``, and
 ``.iloc``,  see the :ref:`indexing documentation <indexing>`.
@@ -79,7 +64,6 @@ Binary operator functions
    Series.add
    Series.sub
    Series.mul
-   Series.div
    Series.truediv
    Series.floordiv
    Series.mod
@@ -87,13 +71,10 @@ Binary operator functions
    Series.radd
    Series.rsub
    Series.rmul
-   Series.rdiv
    Series.rtruediv
    Series.rfloordiv
    Series.rmod
    Series.rpow
-   Series.combine
-   Series.combine_first
    Series.round
    Series.lt
    Series.gt
@@ -102,22 +83,15 @@ Binary operator functions
    Series.ne
    Series.eq
    Series.product
-   Series.dot
 
 Function application, GroupBy & window
 --------------------------------------
 .. autosummary::
    :toctree: api/
 
-   Series.apply
-   Series.agg
-   Series.aggregate
-   Series.transform
    Series.map
    Series.groupby
    Series.rolling
-   Series.expanding
-   Series.ewm
    Series.pipe
 
 .. _api.series.stats:
@@ -130,8 +104,6 @@ Computations / descriptive stats
    Series.abs
    Series.all
    Series.any
-   Series.autocorr
-   Series.between
    Series.clip
    Series.corr
    Series.count
@@ -144,7 +116,6 @@ Computations / descriptive stats
    Series.diff
    Series.factorize
    Series.kurt
-   Series.mad
    Series.max
    Series.mean
    Series.median
@@ -152,11 +123,9 @@ Computations / descriptive stats
    Series.mode
    Series.nlargest
    Series.nsmallest
-   Series.pct_change
    Series.prod
    Series.quantile
    Series.rank
-   Series.sem
    Series.skew
    Series.std
    Series.sum
@@ -175,50 +144,32 @@ Reindexing / selection / label manipulation
 .. autosummary::
    :toctree: api/
 
-   Series.align
    Series.drop
-   Series.droplevel
    Series.drop_duplicates
-   Series.duplicated
    Series.equals
-   Series.first
    Series.head
-   Series.idxmax
-   Series.idxmin
    Series.isin
-   Series.last
    Series.reindex
-   Series.reindex_like
    Series.rename
-   Series.rename_axis
    Series.reset_index
    Series.sample
-   Series.set_axis
    Series.take
    Series.tail
    Series.truncate
    Series.where
    Series.mask
-   Series.add_prefix
-   Series.add_suffix
-   Series.filter
 
 Missing data handling
 ---------------------
 .. autosummary::
    :toctree: api/
 
-   Series.backfill
-   Series.bfill
    Series.dropna
-   Series.ffill
    Series.fillna
-   Series.interpolate
    Series.isna
    Series.isnull
    Series.notna
    Series.notnull
-   Series.pad
    Series.replace
 
 Reshaping, sorting
@@ -227,19 +178,11 @@ Reshaping, sorting
    :toctree: api/
 
    Series.argsort
-   Series.argmin
-   Series.argmax
-   Series.reorder_levels
    Series.sort_values
    Series.sort_index
-   Series.swaplevel
-   Series.unstack
    Series.explode
    Series.searchsorted
-   Series.ravel
    Series.repeat
-   Series.squeeze
-   Series.view
 
 Combining / comparing / joining / merging
 -----------------------------------------
@@ -247,7 +190,6 @@ Combining / comparing / joining / merging
    :toctree: api/
 
    Series.append
-   Series.compare
    Series.update
 
 Time Series-related
@@ -255,18 +197,7 @@ Time Series-related
 .. autosummary::
    :toctree: api/
 
-   Series.asfreq
-   Series.asof
    Series.shift
-   Series.first_valid_index
-   Series.last_valid_index
-   Series.resample
-   Series.tz_convert
-   Series.tz_localize
-   Series.at_time
-   Series.between_time
-   Series.tshift
-   Series.slice_shift
 
 Accessors
 ---------
@@ -278,7 +209,7 @@ to specific data types.
 =========================== =================================
 Data Type                   Accessor
 =========================== =================================
-Datetime, Timedelta, Period :ref:`dt <api.series.dt>`
+Datetime, Timedelta         :ref:`dt <api.series.dt>`
 String                      :ref:`str <api.series.str>`
 Categorical                 :ref:`cat <api.series.cat>`
 Sparse                      :ref:`sparse <api.series.sparse>`
@@ -295,94 +226,41 @@ These can be accessed like ``Series.dt.<property>``.
 
 Datetime properties
 ^^^^^^^^^^^^^^^^^^^
+.. currentmodule:: cudf.core.series.DatetimeProperties
 
 .. autosummary::
    :toctree: api/
-   :template: autosummary/accessor_attribute.rst
 
-   Series.dt.date
-   Series.dt.time
-   Series.dt.timetz
-   Series.dt.year
-   Series.dt.month
-   Series.dt.day
-   Series.dt.hour
-   Series.dt.minute
-   Series.dt.second
-   Series.dt.microsecond
-   Series.dt.nanosecond
-   Series.dt.week
-   Series.dt.weekofyear
-   Series.dt.dayofweek
-   Series.dt.day_of_week
-   Series.dt.weekday
-   Series.dt.dayofyear
-   Series.dt.day_of_year
-   Series.dt.quarter
-   Series.dt.is_month_start
-   Series.dt.is_month_end
-   Series.dt.is_quarter_start
-   Series.dt.is_quarter_end
-   Series.dt.is_year_start
-   Series.dt.is_year_end
-   Series.dt.is_leap_year
-   Series.dt.daysinmonth
-   Series.dt.days_in_month
-   Series.dt.tz
-   Series.dt.freq
+   day
+   dayofweek
+   hour
+   minute
+   month
+   second
+   weekday
+   year
 
 Datetime methods
 ^^^^^^^^^^^^^^^^
 
 .. autosummary::
    :toctree: api/
-   :template: autosummary/accessor_method.rst
-
-   Series.dt.to_period
-   Series.dt.to_pydatetime
-   Series.dt.tz_localize
-   Series.dt.tz_convert
-   Series.dt.normalize
-   Series.dt.strftime
-   Series.dt.round
-   Series.dt.floor
-   Series.dt.ceil
-   Series.dt.month_name
-   Series.dt.day_name
-
-Period properties
-^^^^^^^^^^^^^^^^^
 
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_attribute.rst
+   strftime
 
-   Series.dt.qyear
-   Series.dt.start_time
-   Series.dt.end_time
 
 Timedelta properties
 ^^^^^^^^^^^^^^^^^^^^
 
+.. currentmodule:: cudf.core.series.TimedeltaProperties
 .. autosummary::
    :toctree: api/
-   :template: autosummary/accessor_attribute.rst
-
-   Series.dt.days
-   Series.dt.seconds
-   Series.dt.microseconds
-   Series.dt.nanoseconds
-   Series.dt.components
-
-Timedelta methods
-^^^^^^^^^^^^^^^^^
-
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_method.rst
 
-   Series.dt.to_pytimedelta
-   Series.dt.total_seconds
+   components
+   days
+   microseconds
+   nanoseconds
+   seconds
 
 
 .. _api.series.str:
@@ -394,63 +272,90 @@ String handling
 strings and apply several methods to it. These can be accessed like
 ``Series.str.<function/property>``.
 
+.. currentmodule:: cudf.core.column.string.StringMethods
 .. autosummary::
    :toctree: api/
-   :template: autosummary/accessor_method.rst
 
-   Series.str.capitalize
-   Series.str.casefold
-   Series.str.cat
-   Series.str.center
-   Series.str.contains
-   Series.str.count
-   Series.str.decode
-   Series.str.encode
-   Series.str.endswith
-   Series.str.extract
-   Series.str.extractall
-   Series.str.find
-   Series.str.findall
-   Series.str.get
-   Series.str.index
-   Series.str.join
-   Series.str.len
-   Series.str.ljust
-   Series.str.lower
-   Series.str.lstrip
-   Series.str.match
-   Series.str.normalize
-   Series.str.pad
-   Series.str.partition
-   Series.str.repeat
-   Series.str.replace
-   Series.str.rfind
-   Series.str.rindex
-   Series.str.rjust
-   Series.str.rpartition
-   Series.str.rstrip
-   Series.str.slice
-   Series.str.slice_replace
-   Series.str.split
-   Series.str.rsplit
-   Series.str.startswith
-   Series.str.strip
-   Series.str.swapcase
-   Series.str.title
-   Series.str.translate
-   Series.str.upper
-   Series.str.wrap
-   Series.str.zfill
-   Series.str.isalnum
-   Series.str.isalpha
-   Series.str.isdigit
-   Series.str.isspace
-   Series.str.islower
-   Series.str.isupper
-   Series.str.istitle
-   Series.str.isnumeric
-   Series.str.isdecimal
-   Series.str.get_dummies
+   byte_count
+   capitalize
+   cat
+   center
+   character_ngrams
+   character_tokenize
+   code_points
+   contains
+   count
+   detokenize
+   edit_distance
+   endswith
+   extract
+   filter_alphanum
+   filter_characters
+   filter_tokens
+   find
+   findall
+   get
+   get_json_object
+   htoi
+   index
+   insert
+   ip2int
+   is_consonant
+   is_vowel
+   isalnum
+   isalpha
+   isdecimal
+   isdigit
+   isempty
+   isfloat
+   ishex
+   isinteger
+   isipv4
+   isspace
+   islower
+   isnumeric
+   isupper
+   istimestamp
+   join
+   len
+   ljust
+   lower
+   lstrip
+   match
+   ngrams
+   ngrams_tokenize
+   normalize_characters
+   pad
+   partition
+   porter_stemmer_measure
+   replace
+   replace_tokens
+   replace_with_backrefs
+   rfind
+   rindex
+   rjust
+   rpartition
+   rstrip
+   slice
+   slice_from
+   slice_replace
+   split
+   rsplit
+   startswith
+   strip
+   subword_tokenize
+   swapcase
+   title
+   token_count
+   tokenize
+   translate
+   upper
+   url_decode
+   url_encode
+   wrap
+   zfill
+   
+
 
 ..
     The following is needed to ensure the generated pages are created with the

From f18fcabdbee2a92c5adbe520cd0c950947f3c8ae Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 18 May 2021 10:56:28 -0700
Subject: [PATCH 03/49] update series

---
 docs/cudf/source/api_docs/series.rst | 119 +++------------------------
 1 file changed, 11 insertions(+), 108 deletions(-)

diff --git a/docs/cudf/source/api_docs/series.rst b/docs/cudf/source/api_docs/series.rst
index e8030196605..947235356d9 100644
--- a/docs/cudf/source/api_docs/series.rst
+++ b/docs/cudf/source/api_docs/series.rst
@@ -381,126 +381,29 @@ Categorical accessor
 Categorical-dtype specific methods and attributes are available under
 the ``Series.cat`` accessor.
 
+.. currentmodule:: cudf.core.column.categorical.CategoricalAccessor
 .. autosummary::
    :toctree: api/
-   :template: autosummary/accessor_attribute.rst
 
-   Series.cat.categories
-   Series.cat.ordered
-   Series.cat.codes
+   categories
+   ordered
+   codes
+   reorder_categories
+   add_categories
+   remove_categories
+   set_categories
+   as_ordered
+   as_unordered
 
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_method.rst
-
-   Series.cat.rename_categories
-   Series.cat.reorder_categories
-   Series.cat.add_categories
-   Series.cat.remove_categories
-   Series.cat.remove_unused_categories
-   Series.cat.set_categories
-   Series.cat.as_ordered
-   Series.cat.as_unordered
-
-
-.. _api.series.sparse:
-
-Sparse accessor
-~~~~~~~~~~~~~~~
-
-Sparse-dtype specific methods and attributes are provided under the
-``Series.sparse`` accessor.
-
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_attribute.rst
-
-   Series.sparse.npoints
-   Series.sparse.density
-   Series.sparse.fill_value
-   Series.sparse.sp_values
-
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_method.rst
-
-   Series.sparse.from_coo
-   Series.sparse.to_coo
-
-.. _api.series.flags:
-
-Flags
-~~~~~
-
-Flags refer to attributes of the pandas object. Properties of the dataset (like
-the date is was recorded, the URL it was accessed from, etc.) should be stored
-in :attr:`Series.attrs`.
-
-.. autosummary::
-   :toctree: api/
 
-   Flags
-
-.. _api.series.metadata:
-
-Metadata
-~~~~~~~~
-
-:attr:`Series.attrs` is a dictionary for storing global metadata for this Series.
-
-.. warning:: ``Series.attrs`` is considered experimental and may change without warning.
-
-.. autosummary::
-   :toctree: api/
-
-   Series.attrs
-
-
-Plotting
---------
-``Series.plot`` is both a callable method and a namespace attribute for
-specific plotting methods of the form ``Series.plot.<kind>``.
-
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_callable.rst
-
-   Series.plot
-
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_method.rst
-
-   Series.plot.area
-   Series.plot.bar
-   Series.plot.barh
-   Series.plot.box
-   Series.plot.density
-   Series.plot.hist
-   Series.plot.kde
-   Series.plot.line
-   Series.plot.pie
-
-.. autosummary::
-   :toctree: api/
-
-   Series.hist
 
 Serialization / IO / conversion
 -------------------------------
+.. currentmodule:: cudf
 .. autosummary::
    :toctree: api/
 
-   Series.to_pickle
-   Series.to_csv
-   Series.to_dict
-   Series.to_excel
    Series.to_frame
-   Series.to_xarray
    Series.to_hdf
-   Series.to_sql
    Series.to_json
    Series.to_string
-   Series.to_clipboard
-   Series.to_latex
-   Series.to_markdown

From 683d9c9d4d56ca3eb2e587c247eeeeec160742a0 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Mon, 24 May 2021 07:05:58 -0700
Subject: [PATCH 04/49] add dataframe and index

---
 docs/cudf/source/api_docs/dataframe.rst     | 172 --------
 docs/cudf/source/api_docs/index.rst         |   1 +
 docs/cudf/source/api_docs/index_objects.rst | 445 ++++++++++++++++++++
 3 files changed, 446 insertions(+), 172 deletions(-)
 create mode 100644 docs/cudf/source/api_docs/index_objects.rst

diff --git a/docs/cudf/source/api_docs/dataframe.rst b/docs/cudf/source/api_docs/dataframe.rst
index 44357be27bc..07fba0808e4 100644
--- a/docs/cudf/source/api_docs/dataframe.rst
+++ b/docs/cudf/source/api_docs/dataframe.rst
@@ -27,13 +27,11 @@ Attributes and underlying data
    DataFrame.info
    DataFrame.select_dtypes
    DataFrame.values
-   DataFrame.axes
    DataFrame.ndim
    DataFrame.size
    DataFrame.shape
    DataFrame.memory_usage
    DataFrame.empty
-   DataFrame.set_flags
 
 Conversion
 ~~~~~~~~~~
@@ -41,10 +39,7 @@ Conversion
    :toctree: api/
 
    DataFrame.astype
-   DataFrame.convert_dtypes
-   DataFrame.infer_objects
    DataFrame.copy
-   DataFrame.bool
 
 Indexing, iteration
 ~~~~~~~~~~~~~~~~~~~
@@ -58,16 +53,12 @@ Indexing, iteration
    DataFrame.iloc
    DataFrame.insert
    DataFrame.__iter__
-   DataFrame.items
    DataFrame.iteritems
    DataFrame.keys
    DataFrame.iterrows
    DataFrame.itertuples
-   DataFrame.lookup
    DataFrame.pop
    DataFrame.tail
-   DataFrame.xs
-   DataFrame.get
    DataFrame.isin
    DataFrame.where
    DataFrame.mask
@@ -89,7 +80,6 @@ Binary operator functions
    DataFrame.floordiv
    DataFrame.mod
    DataFrame.pow
-   DataFrame.dot
    DataFrame.radd
    DataFrame.rsub
    DataFrame.rmul
@@ -98,30 +88,16 @@ Binary operator functions
    DataFrame.rfloordiv
    DataFrame.rmod
    DataFrame.rpow
-   DataFrame.lt
-   DataFrame.gt
-   DataFrame.le
-   DataFrame.ge
-   DataFrame.ne
-   DataFrame.eq
-   DataFrame.combine
-   DataFrame.combine_first
 
 Function application, GroupBy & window
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 .. autosummary::
    :toctree: api/
 
-   DataFrame.apply
-   DataFrame.applymap
    DataFrame.pipe
    DataFrame.agg
-   DataFrame.aggregate
-   DataFrame.transform
    DataFrame.groupby
    DataFrame.rolling
-   DataFrame.expanding
-   DataFrame.ewm
 
 .. _api.dataframe.stats:
 
@@ -130,12 +106,10 @@ Computations / descriptive stats
 .. autosummary::
    :toctree: api/
 
-   DataFrame.abs
    DataFrame.all
    DataFrame.any
    DataFrame.clip
    DataFrame.corr
-   DataFrame.corrwith
    DataFrame.count
    DataFrame.cov
    DataFrame.cummax
@@ -143,61 +117,38 @@ Computations / descriptive stats
    DataFrame.cumprod
    DataFrame.cumsum
    DataFrame.describe
-   DataFrame.diff
-   DataFrame.eval
    DataFrame.kurt
    DataFrame.kurtosis
-   DataFrame.mad
    DataFrame.max
    DataFrame.mean
-   DataFrame.median
    DataFrame.min
    DataFrame.mode
-   DataFrame.pct_change
    DataFrame.prod
    DataFrame.product
    DataFrame.quantile
    DataFrame.rank
    DataFrame.round
-   DataFrame.sem
    DataFrame.skew
    DataFrame.sum
    DataFrame.std
    DataFrame.var
-   DataFrame.nunique
-   DataFrame.value_counts
 
 Reindexing / selection / label manipulation
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 .. autosummary::
    :toctree: api/
 
-   DataFrame.add_prefix
-   DataFrame.add_suffix
-   DataFrame.align
-   DataFrame.at_time
-   DataFrame.between_time
    DataFrame.drop
    DataFrame.drop_duplicates
-   DataFrame.duplicated
    DataFrame.equals
-   DataFrame.filter
-   DataFrame.first
    DataFrame.head
-   DataFrame.idxmax
-   DataFrame.idxmin
-   DataFrame.last
    DataFrame.reindex
-   DataFrame.reindex_like
    DataFrame.rename
-   DataFrame.rename_axis
    DataFrame.reset_index
    DataFrame.sample
-   DataFrame.set_axis
    DataFrame.set_index
    DataFrame.tail
    DataFrame.take
-   DataFrame.truncate
 
 .. _api.dataframe.missing:
 
@@ -206,17 +157,12 @@ Missing data handling
 .. autosummary::
    :toctree: api/
 
-   DataFrame.backfill
-   DataFrame.bfill
    DataFrame.dropna
-   DataFrame.ffill
    DataFrame.fillna
-   DataFrame.interpolate
    DataFrame.isna
    DataFrame.isnull
    DataFrame.notna
    DataFrame.notnull
-   DataFrame.pad
    DataFrame.replace
 
 Reshaping, sorting, transposing
@@ -224,22 +170,15 @@ Reshaping, sorting, transposing
 .. autosummary::
    :toctree: api/
 
-   DataFrame.droplevel
    DataFrame.pivot
-   DataFrame.pivot_table
-   DataFrame.reorder_levels
    DataFrame.sort_values
    DataFrame.sort_index
    DataFrame.nlargest
    DataFrame.nsmallest
-   DataFrame.swaplevel
    DataFrame.stack
    DataFrame.unstack
-   DataFrame.swapaxes
    DataFrame.melt
    DataFrame.explode
-   DataFrame.squeeze
-   DataFrame.to_xarray
    DataFrame.T
    DataFrame.transpose
 
@@ -250,7 +189,6 @@ Combining / comparing / joining / merging
 
    DataFrame.append
    DataFrame.assign
-   DataFrame.compare
    DataFrame.join
    DataFrame.merge
    DataFrame.update
@@ -260,130 +198,20 @@ Time Series-related
 .. autosummary::
    :toctree: api/
 
-   DataFrame.asfreq
-   DataFrame.asof
    DataFrame.shift
-   DataFrame.slice_shift
-   DataFrame.tshift
-   DataFrame.first_valid_index
-   DataFrame.last_valid_index
-   DataFrame.resample
-   DataFrame.to_period
-   DataFrame.to_timestamp
-   DataFrame.tz_convert
-   DataFrame.tz_localize
-
-.. _api.frame.flags:
-
-Flags
-~~~~~
-
-Flags refer to attributes of the pandas object. Properties of the dataset (like
-the date is was recorded, the URL it was accessed from, etc.) should be stored
-in :attr:`DataFrame.attrs`.
-
-.. autosummary::
-   :toctree: api/
-
-   Flags
-
-
-.. _api.frame.metadata:
-
-Metadata
-~~~~~~~~
-
-:attr:`DataFrame.attrs` is a dictionary for storing global metadata for this DataFrame.
-
-.. warning:: ``DataFrame.attrs`` is considered experimental and may change without warning.
-
-.. autosummary::
-   :toctree: api/
-
-   DataFrame.attrs
-
-
-.. _api.dataframe.plotting:
-
-Plotting
-~~~~~~~~
-``DataFrame.plot`` is both a callable method and a namespace attribute for
-specific plotting methods of the form ``DataFrame.plot.<kind>``.
-
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_callable.rst
-
-   DataFrame.plot
-
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_method.rst
-
-   DataFrame.plot.area
-   DataFrame.plot.bar
-   DataFrame.plot.barh
-   DataFrame.plot.box
-   DataFrame.plot.density
-   DataFrame.plot.hexbin
-   DataFrame.plot.hist
-   DataFrame.plot.kde
-   DataFrame.plot.line
-   DataFrame.plot.pie
-   DataFrame.plot.scatter
-
-.. autosummary::
-   :toctree: api/
-
-   DataFrame.boxplot
-   DataFrame.hist
-
-
-.. _api.frame.sparse:
-
-Sparse accessor
-~~~~~~~~~~~~~~~
-
-Sparse-dtype specific methods and attributes are provided under the
-``DataFrame.sparse`` accessor.
-
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_attribute.rst
-
-   DataFrame.sparse.density
-
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/accessor_method.rst
-
-   DataFrame.sparse.from_spmatrix
-   DataFrame.sparse.to_coo
-   DataFrame.sparse.to_dense
-
 
 Serialization / IO / conversion
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 .. autosummary::
    :toctree: api/
 
-   DataFrame.from_dict
    DataFrame.from_records
    DataFrame.to_parquet
    DataFrame.to_pickle
    DataFrame.to_csv
    DataFrame.to_hdf
-   DataFrame.to_sql
    DataFrame.to_dict
-   DataFrame.to_excel
    DataFrame.to_json
-   DataFrame.to_html
    DataFrame.to_feather
-   DataFrame.to_latex
-   DataFrame.to_stata
-   DataFrame.to_gbq
    DataFrame.to_records
    DataFrame.to_string
-   DataFrame.to_clipboard
-   DataFrame.to_markdown
-   DataFrame.style
diff --git a/docs/cudf/source/api_docs/index.rst b/docs/cudf/source/api_docs/index.rst
index 94d9132d4c9..8d4ab19c341 100644
--- a/docs/cudf/source/api_docs/index.rst
+++ b/docs/cudf/source/api_docs/index.rst
@@ -12,4 +12,5 @@ the left sidebar to see how various elements look on this theme.
 
     series
     dataframe
+    index_objects
 
diff --git a/docs/cudf/source/api_docs/index_objects.rst b/docs/cudf/source/api_docs/index_objects.rst
new file mode 100644
index 00000000000..bb70a78b10c
--- /dev/null
+++ b/docs/cudf/source/api_docs/index_objects.rst
@@ -0,0 +1,445 @@
+=============
+Index objects
+=============
+
+Index
+-----
+.. currentmodule:: cudf
+
+**Many of these methods or variants thereof are available on the objects
+that contain an index (Series/DataFrame) and those should most likely be
+used before calling these methods directly.**
+
+.. autosummary::
+   :toctree: api/
+
+   Index
+
+Properties
+~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Index.values
+   Index.is_monotonic
+   Index.is_monotonic_increasing
+   Index.is_monotonic_decreasing
+   Index.is_unique
+   Index.inferred_type
+   Index.is_all_dates
+   Index.shape
+   Index.name
+   Index.names
+   Index.ndim
+   Index.size
+   Index.empty
+   Index.memory_usage
+
+Modifying and computations
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Index.any
+   Index.copy
+   Index.drop_duplicates
+   Index.equals
+   Index.factorize
+   Index.min
+   Index.max
+   Index.rename
+   Index.repeat
+   Index.where
+   Index.take
+   Index.unique
+
+Compatibility with MultiIndex
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Index.set_names
+
+Missing values
+~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Index.fillna
+   Index.dropna
+   Index.isna
+   Index.notna
+
+Conversion
+~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Index.astype
+   Index.to_list
+   Index.to_series
+   Index.to_frame
+
+Sorting
+~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Index.argsort
+   Index.searchsorted
+   Index.sort_values
+
+Time-specific operations
+~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Index.shift
+
+Combining / joining / set operations
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Index.append
+   Index.join
+   Index.difference
+
+Selecting
+~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Index.get_level_values
+   Index.get_slice_bound
+   Index.isin
+
+.. _api.numericindex:
+
+Numeric Index
+-------------
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
+
+   RangeIndex
+   Int64Index
+   UInt64Index
+   Float64Index
+
+.. We need this autosummary so that the methods are generated.
+.. Separate block, since they aren't classes.
+
+.. autosummary::
+   :toctree: api/
+
+   RangeIndex.start
+   RangeIndex.stop
+   RangeIndex.step
+
+.. _api.categoricalindex:
+
+CategoricalIndex
+----------------
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
+
+   CategoricalIndex
+
+Categorical components
+~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   CategoricalIndex.codes
+   CategoricalIndex.categories
+   CategoricalIndex.ordered
+   CategoricalIndex.rename_categories
+   CategoricalIndex.reorder_categories
+   CategoricalIndex.add_categories
+   CategoricalIndex.remove_categories
+   CategoricalIndex.remove_unused_categories
+   CategoricalIndex.set_categories
+   CategoricalIndex.as_ordered
+   CategoricalIndex.as_unordered
+
+Modifying and computations
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   CategoricalIndex.map
+   CategoricalIndex.equals
+
+.. _api.intervalindex:
+
+IntervalIndex
+-------------
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
+
+   IntervalIndex
+
+IntervalIndex components
+~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   IntervalIndex.from_arrays
+   IntervalIndex.from_tuples
+   IntervalIndex.from_breaks
+   IntervalIndex.left
+   IntervalIndex.right
+   IntervalIndex.mid
+   IntervalIndex.closed
+   IntervalIndex.length
+   IntervalIndex.values
+   IntervalIndex.is_empty
+   IntervalIndex.is_non_overlapping_monotonic
+   IntervalIndex.is_overlapping
+   IntervalIndex.get_loc
+   IntervalIndex.get_indexer
+   IntervalIndex.set_closed
+   IntervalIndex.contains
+   IntervalIndex.overlaps
+   IntervalIndex.to_tuples
+
+.. _api.multiindex:
+
+MultiIndex
+----------
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
+
+   MultiIndex
+
+.. autosummary::
+   :toctree: api/
+
+   IndexSlice
+
+MultiIndex constructors
+~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   MultiIndex.from_arrays
+   MultiIndex.from_tuples
+   MultiIndex.from_product
+   MultiIndex.from_frame
+
+MultiIndex properties
+~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   MultiIndex.names
+   MultiIndex.levels
+   MultiIndex.codes
+   MultiIndex.nlevels
+   MultiIndex.levshape
+   MultiIndex.dtypes
+
+MultiIndex components
+~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   MultiIndex.set_levels
+   MultiIndex.set_codes
+   MultiIndex.to_flat_index
+   MultiIndex.to_frame
+   MultiIndex.sortlevel
+   MultiIndex.droplevel
+   MultiIndex.swaplevel
+   MultiIndex.reorder_levels
+   MultiIndex.remove_unused_levels
+
+MultiIndex selecting
+~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   MultiIndex.get_loc
+   MultiIndex.get_locs
+   MultiIndex.get_loc_level
+   MultiIndex.get_indexer
+   MultiIndex.get_level_values
+
+.. _api.datetimeindex:
+
+DatetimeIndex
+-------------
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
+
+   DatetimeIndex
+
+Time/date components
+~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DatetimeIndex.year
+   DatetimeIndex.month
+   DatetimeIndex.day
+   DatetimeIndex.hour
+   DatetimeIndex.minute
+   DatetimeIndex.second
+   DatetimeIndex.microsecond
+   DatetimeIndex.nanosecond
+   DatetimeIndex.date
+   DatetimeIndex.time
+   DatetimeIndex.timetz
+   DatetimeIndex.dayofyear
+   DatetimeIndex.day_of_year
+   DatetimeIndex.weekofyear
+   DatetimeIndex.week
+   DatetimeIndex.dayofweek
+   DatetimeIndex.day_of_week
+   DatetimeIndex.weekday
+   DatetimeIndex.quarter
+   DatetimeIndex.tz
+   DatetimeIndex.freq
+   DatetimeIndex.freqstr
+   DatetimeIndex.is_month_start
+   DatetimeIndex.is_month_end
+   DatetimeIndex.is_quarter_start
+   DatetimeIndex.is_quarter_end
+   DatetimeIndex.is_year_start
+   DatetimeIndex.is_year_end
+   DatetimeIndex.is_leap_year
+   DatetimeIndex.inferred_freq
+
+Selecting
+~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DatetimeIndex.indexer_at_time
+   DatetimeIndex.indexer_between_time
+
+
+Time-specific operations
+~~~~~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DatetimeIndex.normalize
+   DatetimeIndex.strftime
+   DatetimeIndex.snap
+   DatetimeIndex.tz_convert
+   DatetimeIndex.tz_localize
+   DatetimeIndex.round
+   DatetimeIndex.floor
+   DatetimeIndex.ceil
+   DatetimeIndex.month_name
+   DatetimeIndex.day_name
+
+Conversion
+~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DatetimeIndex.to_period
+   DatetimeIndex.to_perioddelta
+   DatetimeIndex.to_pydatetime
+   DatetimeIndex.to_series
+   DatetimeIndex.to_frame
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: api/
+
+    DatetimeIndex.mean
+
+TimedeltaIndex
+--------------
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
+
+   TimedeltaIndex
+
+Components
+~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   TimedeltaIndex.days
+   TimedeltaIndex.seconds
+   TimedeltaIndex.microseconds
+   TimedeltaIndex.nanoseconds
+   TimedeltaIndex.components
+   TimedeltaIndex.inferred_freq
+
+Conversion
+~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   TimedeltaIndex.to_pytimedelta
+   TimedeltaIndex.to_series
+   TimedeltaIndex.round
+   TimedeltaIndex.floor
+   TimedeltaIndex.ceil
+   TimedeltaIndex.to_frame
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: api/
+
+    TimedeltaIndex.mean
+
+.. currentmodule:: pandas
+
+PeriodIndex
+-----------
+.. autosummary::
+   :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
+
+   PeriodIndex
+
+Properties
+~~~~~~~~~~
+.. autosummary::
+    :toctree: api/
+
+    PeriodIndex.day
+    PeriodIndex.dayofweek
+    PeriodIndex.day_of_week
+    PeriodIndex.dayofyear
+    PeriodIndex.day_of_year
+    PeriodIndex.days_in_month
+    PeriodIndex.daysinmonth
+    PeriodIndex.end_time
+    PeriodIndex.freq
+    PeriodIndex.freqstr
+    PeriodIndex.hour
+    PeriodIndex.is_leap_year
+    PeriodIndex.minute
+    PeriodIndex.month
+    PeriodIndex.quarter
+    PeriodIndex.qyear
+    PeriodIndex.second
+    PeriodIndex.start_time
+    PeriodIndex.week
+    PeriodIndex.weekday
+    PeriodIndex.weekofyear
+    PeriodIndex.year
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: api/
+
+    PeriodIndex.asfreq
+    PeriodIndex.strftime
+    PeriodIndex.to_timestamp
\ No newline at end of file

From e5448be872b60cf0f9f4fd518d6c4fdc33bb6cac Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 29 Jun 2021 16:53:11 -0700
Subject: [PATCH 05/49] update index docs

---
 docs/cudf/source/api_docs/index_objects.rst | 158 +-------------------
 1 file changed, 2 insertions(+), 156 deletions(-)

diff --git a/docs/cudf/source/api_docs/index_objects.rst b/docs/cudf/source/api_docs/index_objects.rst
index bb70a78b10c..5bd11a97b62 100644
--- a/docs/cudf/source/api_docs/index_objects.rst
+++ b/docs/cudf/source/api_docs/index_objects.rst
@@ -25,8 +25,6 @@ Properties
    Index.is_monotonic_increasing
    Index.is_monotonic_decreasing
    Index.is_unique
-   Index.inferred_type
-   Index.is_all_dates
    Index.shape
    Index.name
    Index.names
@@ -59,6 +57,7 @@ Compatibility with MultiIndex
    :toctree: api/
 
    Index.set_names
+   Index.droplevel
 
 Missing values
 ~~~~~~~~~~~~~~
@@ -111,6 +110,7 @@ Selecting
    :toctree: api/
 
    Index.get_level_values
+   Index.get_loc
    Index.get_slice_bound
    Index.isin
 
@@ -120,7 +120,6 @@ Numeric Index
 -------------
 .. autosummary::
    :toctree: api/
-   :template: autosummary/class_without_autosummary.rst
 
    RangeIndex
    Int64Index
@@ -154,22 +153,12 @@ Categorical components
 
    CategoricalIndex.codes
    CategoricalIndex.categories
-   CategoricalIndex.ordered
-   CategoricalIndex.rename_categories
-   CategoricalIndex.reorder_categories
-   CategoricalIndex.add_categories
-   CategoricalIndex.remove_categories
-   CategoricalIndex.remove_unused_categories
-   CategoricalIndex.set_categories
-   CategoricalIndex.as_ordered
-   CategoricalIndex.as_unordered
 
 Modifying and computations
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
 .. autosummary::
    :toctree: api/
 
-   CategoricalIndex.map
    CategoricalIndex.equals
 
 .. _api.intervalindex:
@@ -178,7 +167,6 @@ IntervalIndex
 -------------
 .. autosummary::
    :toctree: api/
-   :template: autosummary/class_without_autosummary.rst
 
    IntervalIndex
 
@@ -187,24 +175,9 @@ IntervalIndex components
 .. autosummary::
    :toctree: api/
 
-   IntervalIndex.from_arrays
-   IntervalIndex.from_tuples
    IntervalIndex.from_breaks
-   IntervalIndex.left
-   IntervalIndex.right
-   IntervalIndex.mid
-   IntervalIndex.closed
-   IntervalIndex.length
    IntervalIndex.values
-   IntervalIndex.is_empty
-   IntervalIndex.is_non_overlapping_monotonic
-   IntervalIndex.is_overlapping
    IntervalIndex.get_loc
-   IntervalIndex.get_indexer
-   IntervalIndex.set_closed
-   IntervalIndex.contains
-   IntervalIndex.overlaps
-   IntervalIndex.to_tuples
 
 .. _api.multiindex:
 
@@ -212,21 +185,15 @@ MultiIndex
 ----------
 .. autosummary::
    :toctree: api/
-   :template: autosummary/class_without_autosummary.rst
 
    MultiIndex
 
-.. autosummary::
-   :toctree: api/
-
-   IndexSlice
 
 MultiIndex constructors
 ~~~~~~~~~~~~~~~~~~~~~~~
 .. autosummary::
    :toctree: api/
 
-   MultiIndex.from_arrays
    MultiIndex.from_tuples
    MultiIndex.from_product
    MultiIndex.from_frame
@@ -240,23 +207,14 @@ MultiIndex properties
    MultiIndex.levels
    MultiIndex.codes
    MultiIndex.nlevels
-   MultiIndex.levshape
-   MultiIndex.dtypes
 
 MultiIndex components
 ~~~~~~~~~~~~~~~~~~~~~
 .. autosummary::
    :toctree: api/
 
-   MultiIndex.set_levels
-   MultiIndex.set_codes
-   MultiIndex.to_flat_index
    MultiIndex.to_frame
-   MultiIndex.sortlevel
    MultiIndex.droplevel
-   MultiIndex.swaplevel
-   MultiIndex.reorder_levels
-   MultiIndex.remove_unused_levels
 
 MultiIndex selecting
 ~~~~~~~~~~~~~~~~~~~~
@@ -264,9 +222,6 @@ MultiIndex selecting
    :toctree: api/
 
    MultiIndex.get_loc
-   MultiIndex.get_locs
-   MultiIndex.get_loc_level
-   MultiIndex.get_indexer
    MultiIndex.get_level_values
 
 .. _api.datetimeindex:
@@ -275,7 +230,6 @@ DatetimeIndex
 -------------
 .. autosummary::
    :toctree: api/
-   :template: autosummary/class_without_autosummary.rst
 
    DatetimeIndex
 
@@ -290,79 +244,28 @@ Time/date components
    DatetimeIndex.hour
    DatetimeIndex.minute
    DatetimeIndex.second
-   DatetimeIndex.microsecond
-   DatetimeIndex.nanosecond
-   DatetimeIndex.date
-   DatetimeIndex.time
-   DatetimeIndex.timetz
-   DatetimeIndex.dayofyear
-   DatetimeIndex.day_of_year
-   DatetimeIndex.weekofyear
-   DatetimeIndex.week
    DatetimeIndex.dayofweek
-   DatetimeIndex.day_of_week
    DatetimeIndex.weekday
-   DatetimeIndex.quarter
-   DatetimeIndex.tz
-   DatetimeIndex.freq
-   DatetimeIndex.freqstr
-   DatetimeIndex.is_month_start
-   DatetimeIndex.is_month_end
-   DatetimeIndex.is_quarter_start
-   DatetimeIndex.is_quarter_end
-   DatetimeIndex.is_year_start
-   DatetimeIndex.is_year_end
-   DatetimeIndex.is_leap_year
-   DatetimeIndex.inferred_freq
-
-Selecting
-~~~~~~~~~
-.. autosummary::
-   :toctree: api/
-
-   DatetimeIndex.indexer_at_time
-   DatetimeIndex.indexer_between_time
-
 
 Time-specific operations
 ~~~~~~~~~~~~~~~~~~~~~~~~
 .. autosummary::
    :toctree: api/
 
-   DatetimeIndex.normalize
-   DatetimeIndex.strftime
-   DatetimeIndex.snap
-   DatetimeIndex.tz_convert
-   DatetimeIndex.tz_localize
    DatetimeIndex.round
-   DatetimeIndex.floor
-   DatetimeIndex.ceil
-   DatetimeIndex.month_name
-   DatetimeIndex.day_name
 
 Conversion
 ~~~~~~~~~~
 .. autosummary::
    :toctree: api/
 
-   DatetimeIndex.to_period
-   DatetimeIndex.to_perioddelta
-   DatetimeIndex.to_pydatetime
    DatetimeIndex.to_series
    DatetimeIndex.to_frame
 
-Methods
-~~~~~~~
-.. autosummary::
-    :toctree: api/
-
-    DatetimeIndex.mean
-
 TimedeltaIndex
 --------------
 .. autosummary::
    :toctree: api/
-   :template: autosummary/class_without_autosummary.rst
 
    TimedeltaIndex
 
@@ -383,63 +286,6 @@ Conversion
 .. autosummary::
    :toctree: api/
 
-   TimedeltaIndex.to_pytimedelta
    TimedeltaIndex.to_series
    TimedeltaIndex.round
-   TimedeltaIndex.floor
-   TimedeltaIndex.ceil
    TimedeltaIndex.to_frame
-
-Methods
-~~~~~~~
-.. autosummary::
-    :toctree: api/
-
-    TimedeltaIndex.mean
-
-.. currentmodule:: pandas
-
-PeriodIndex
------------
-.. autosummary::
-   :toctree: api/
-   :template: autosummary/class_without_autosummary.rst
-
-   PeriodIndex
-
-Properties
-~~~~~~~~~~
-.. autosummary::
-    :toctree: api/
-
-    PeriodIndex.day
-    PeriodIndex.dayofweek
-    PeriodIndex.day_of_week
-    PeriodIndex.dayofyear
-    PeriodIndex.day_of_year
-    PeriodIndex.days_in_month
-    PeriodIndex.daysinmonth
-    PeriodIndex.end_time
-    PeriodIndex.freq
-    PeriodIndex.freqstr
-    PeriodIndex.hour
-    PeriodIndex.is_leap_year
-    PeriodIndex.minute
-    PeriodIndex.month
-    PeriodIndex.quarter
-    PeriodIndex.qyear
-    PeriodIndex.second
-    PeriodIndex.start_time
-    PeriodIndex.week
-    PeriodIndex.weekday
-    PeriodIndex.weekofyear
-    PeriodIndex.year
-
-Methods
-~~~~~~~
-.. autosummary::
-    :toctree: api/
-
-    PeriodIndex.asfreq
-    PeriodIndex.strftime
-    PeriodIndex.to_timestamp
\ No newline at end of file

From d7e8aa4b0bd79438920a20d3962854de3814fca0 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Wed, 30 Jun 2021 14:35:03 -0700
Subject: [PATCH 06/49] add groupby related apis

---
 conda/environments/cudf_dev_cuda11.0.yml     |   1 +
 conda/environments/cudf_dev_cuda11.2.yml     |   1 +
 docs/cudf/source/api_docs/groupby.rst        | 142 +++++++++++++++++++
 docs/cudf/source/api_docs/index.rst          |   1 +
 docs/cudf/source/{ => user_guide}/groupby.md |   6 +-
 docs/cudf/source/user_guide/index.rst        |   1 +
 python/cudf/setup.py                         |   2 +-
 7 files changed, 150 insertions(+), 4 deletions(-)
 create mode 100644 docs/cudf/source/api_docs/groupby.rst
 rename docs/cudf/source/{ => user_guide}/groupby.md (99%)

diff --git a/conda/environments/cudf_dev_cuda11.0.yml b/conda/environments/cudf_dev_cuda11.0.yml
index 5561a573609..67592ac2797 100644
--- a/conda/environments/cudf_dev_cuda11.0.yml
+++ b/conda/environments/cudf_dev_cuda11.0.yml
@@ -59,6 +59,7 @@ dependencies:
   - nvtx>=0.2.1
   - cachetools
   - transformers
+  - pydata_sphinx_theme
   - pip:
       - git+https://github.com/dask/dask.git@main
       - git+https://github.com/dask/distributed.git@main
diff --git a/conda/environments/cudf_dev_cuda11.2.yml b/conda/environments/cudf_dev_cuda11.2.yml
index 6c8ae4cb9b0..68705f1d28a 100644
--- a/conda/environments/cudf_dev_cuda11.2.yml
+++ b/conda/environments/cudf_dev_cuda11.2.yml
@@ -59,6 +59,7 @@ dependencies:
   - nvtx>=0.2.1
   - cachetools
   - transformers
+  - pydata_sphinx_theme
   - pip:
       - git+https://github.com/dask/dask.git@main
       - git+https://github.com/dask/distributed.git@main
diff --git a/docs/cudf/source/api_docs/groupby.rst b/docs/cudf/source/api_docs/groupby.rst
new file mode 100644
index 00000000000..8f383b23d67
--- /dev/null
+++ b/docs/cudf/source/api_docs/groupby.rst
@@ -0,0 +1,142 @@
+.. _api.groupby:
+
+=======
+GroupBy
+=======
+.. currentmodule:: cudf.core.groupby
+
+GroupBy objects are returned by groupby calls: :func:`cudf.DataFrame.groupby`, :func:`cudf.Series.groupby`, etc.
+
+Indexing, iteration
+-------------------
+.. autosummary::
+   :toctree: api/
+
+   GroupBy.__iter__
+   GroupBy.groups
+   GroupBy.get_group
+
+.. currentmodule:: cudf
+
+.. autosummary::
+   :toctree: api/
+
+   Grouper
+
+.. currentmodule:: cudf.core.groupby
+
+Function application
+--------------------
+.. autosummary::
+   :toctree: api/
+
+   GroupBy.apply
+   GroupBy.agg
+   SeriesGroupBy.aggregate
+   DataFrameGroupBy.aggregate
+   SeriesGroupBy.transform
+   DataFrameGroupBy.transform
+   GroupBy.pipe
+
+Computations / descriptive stats
+--------------------------------
+.. autosummary::
+   :toctree: api/
+
+   GroupBy.all
+   GroupBy.any
+   GroupBy.bfill
+   GroupBy.backfill
+   GroupBy.count
+   GroupBy.cumcount
+   GroupBy.cummax
+   GroupBy.cummin
+   GroupBy.cumprod
+   GroupBy.cumsum
+   GroupBy.ffill
+   GroupBy.first
+   GroupBy.head
+   GroupBy.last
+   GroupBy.max
+   GroupBy.mean
+   GroupBy.median
+   GroupBy.min
+   GroupBy.ngroup
+   GroupBy.nth
+   GroupBy.ohlc
+   GroupBy.pad
+   GroupBy.prod
+   GroupBy.rank
+   GroupBy.pct_change
+   GroupBy.size
+   GroupBy.sem
+   GroupBy.std
+   GroupBy.sum
+   GroupBy.var
+   GroupBy.tail
+
+The following methods are available in both ``SeriesGroupBy`` and
+``DataFrameGroupBy`` objects, but may differ slightly, usually in that
+the ``DataFrameGroupBy`` version usually permits the specification of an
+axis argument, and often an argument indicating whether to restrict
+application to columns of a specific data type.
+
+.. autosummary::
+   :toctree: api/
+
+   DataFrameGroupBy.all
+   DataFrameGroupBy.any
+   DataFrameGroupBy.backfill
+   DataFrameGroupBy.bfill
+   DataFrameGroupBy.corr
+   DataFrameGroupBy.count
+   DataFrameGroupBy.cov
+   DataFrameGroupBy.cumcount
+   DataFrameGroupBy.cummax
+   DataFrameGroupBy.cummin
+   DataFrameGroupBy.cumprod
+   DataFrameGroupBy.cumsum
+   DataFrameGroupBy.describe
+   DataFrameGroupBy.diff
+   DataFrameGroupBy.ffill
+   DataFrameGroupBy.fillna
+   DataFrameGroupBy.filter
+   DataFrameGroupBy.hist
+   DataFrameGroupBy.idxmax
+   DataFrameGroupBy.idxmin
+   DataFrameGroupBy.mad
+   DataFrameGroupBy.nunique
+   DataFrameGroupBy.pad
+   DataFrameGroupBy.pct_change
+   DataFrameGroupBy.plot
+   DataFrameGroupBy.quantile
+   DataFrameGroupBy.rank
+   DataFrameGroupBy.resample
+   DataFrameGroupBy.sample
+   DataFrameGroupBy.shift
+   DataFrameGroupBy.size
+   DataFrameGroupBy.skew
+   DataFrameGroupBy.take
+   DataFrameGroupBy.tshift
+
+The following methods are available only for ``SeriesGroupBy`` objects.
+
+.. autosummary::
+   :toctree: api/
+
+   SeriesGroupBy.hist
+   SeriesGroupBy.nlargest
+   SeriesGroupBy.nsmallest
+   SeriesGroupBy.nunique
+   SeriesGroupBy.unique
+   SeriesGroupBy.value_counts
+   SeriesGroupBy.is_monotonic_increasing
+   SeriesGroupBy.is_monotonic_decreasing
+
+The following methods are available only for ``DataFrameGroupBy`` objects.
+
+.. autosummary::
+   :toctree: api/
+
+   DataFrameGroupBy.corrwith
+   DataFrameGroupBy.boxplot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/index.rst b/docs/cudf/source/api_docs/index.rst
index 8d4ab19c341..fedec8e9124 100644
--- a/docs/cudf/source/api_docs/index.rst
+++ b/docs/cudf/source/api_docs/index.rst
@@ -13,4 +13,5 @@ the left sidebar to see how various elements look on this theme.
     series
     dataframe
     index_objects
+    groupby
 
diff --git a/docs/cudf/source/groupby.md b/docs/cudf/source/user_guide/groupby.md
similarity index 99%
rename from docs/cudf/source/groupby.md
rename to docs/cudf/source/user_guide/groupby.md
index 8a0e5dddba0..12d1c846329 100644
--- a/docs/cudf/source/groupby.md
+++ b/docs/cudf/source/user_guide/groupby.md
@@ -1,5 +1,5 @@
-GroupBy
-=======
+Using GroupBy
+=============
 
 cuDF supports a small (but important) subset of
 Pandas' [groupby API](https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html).
@@ -18,7 +18,7 @@ Pandas' [groupby API](https://pandas.pydata.org/pandas-docs/stable/user_guide/gr
    See the section on [apply](#groupby-apply) for more details.
 1. `GroupBy.pipe` similar to [Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#piping-function-calls).
 
-## Grouping
+## How to do Grouping
 
 A GroupBy object is created by grouping the values of a `Series` or `DataFrame`
 by one or more columns:
diff --git a/docs/cudf/source/user_guide/index.rst b/docs/cudf/source/user_guide/index.rst
index 1061008eb3c..4cd5eeb00d8 100644
--- a/docs/cudf/source/user_guide/index.rst
+++ b/docs/cudf/source/user_guide/index.rst
@@ -10,3 +10,4 @@ User Guide
    10min-cudf-cupy.ipynb
    guide-to-udfs.ipynb
    Working-with-missing-data.ipynb
+   groupby
diff --git a/python/cudf/setup.py b/python/cudf/setup.py
index 54921396b6f..f0c5cda2b47 100644
--- a/python/cudf/setup.py
+++ b/python/cudf/setup.py
@@ -218,7 +218,7 @@ def run(self):
         extensions,
         nthreads=nthreads,
         compiler_directives=dict(
-            profile=False, language_level=3, embedsignature=True
+            profile=False, language_level=3, embedsignature=True, binding=True
         ),
     ),
     packages=find_packages(include=["cudf", "cudf.*"]),

From e719bff074c4c3cde9342db12465e7c4897fe769 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Wed, 14 Jul 2021 16:42:57 -0700
Subject: [PATCH 07/49] cleanUp

---
 .../source/api_docs/api/cudf.DataFrame.T.rst  |   6 -
 .../api_docs/api/cudf.DataFrame.__iter__.rst  |   6 -
 .../api_docs/api/cudf.DataFrame.add.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.agg.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.all.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.any.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.append.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.assign.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.astype.rst    |   6 -
 .../source/api_docs/api/cudf.DataFrame.at.rst |   6 -
 .../api_docs/api/cudf.DataFrame.clip.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.columns.rst   |   6 -
 .../api_docs/api/cudf.DataFrame.copy.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.corr.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.count.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.cov.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.cummax.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.cummin.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.cumprod.rst   |   6 -
 .../api_docs/api/cudf.DataFrame.cumsum.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.describe.rst  |   6 -
 .../api_docs/api/cudf.DataFrame.div.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.drop.rst      |   6 -
 .../api/cudf.DataFrame.drop_duplicates.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.dropna.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.dtypes.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.empty.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.equals.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.explode.rst   |   6 -
 .../api_docs/api/cudf.DataFrame.fillna.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.floordiv.rst  |   6 -
 .../api/cudf.DataFrame.from_records.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.groupby.rst   |   6 -
 .../api_docs/api/cudf.DataFrame.head.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.iat.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.iloc.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.index.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.info.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.insert.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.isin.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.isna.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.isnull.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.iteritems.rst |   6 -
 .../api_docs/api/cudf.DataFrame.iterrows.rst  |   6 -
 .../api/cudf.DataFrame.itertuples.rst         |   6 -
 .../api_docs/api/cudf.DataFrame.join.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.keys.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.kurt.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.kurtosis.rst  |   6 -
 .../api_docs/api/cudf.DataFrame.loc.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.mask.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.max.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.mean.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.melt.rst      |   6 -
 .../api/cudf.DataFrame.memory_usage.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.merge.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.min.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.mod.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.mode.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.mul.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.ndim.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.nlargest.rst  |   6 -
 .../api_docs/api/cudf.DataFrame.notna.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.notnull.rst   |   6 -
 .../api_docs/api/cudf.DataFrame.nsmallest.rst |   6 -
 .../api_docs/api/cudf.DataFrame.pipe.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.pivot.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.pop.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.pow.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.prod.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.product.rst   |   6 -
 .../api_docs/api/cudf.DataFrame.quantile.rst  |   6 -
 .../api_docs/api/cudf.DataFrame.query.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.radd.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.rank.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.rdiv.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.reindex.rst   |   6 -
 .../api_docs/api/cudf.DataFrame.rename.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.replace.rst   |   6 -
 .../api/cudf.DataFrame.reset_index.rst        |   6 -
 .../api_docs/api/cudf.DataFrame.rfloordiv.rst |   6 -
 .../api_docs/api/cudf.DataFrame.rmod.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.rmul.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.rolling.rst   |   6 -
 .../api_docs/api/cudf.DataFrame.round.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.rpow.rst      |   6 -
 .../source/api_docs/api/cudf.DataFrame.rst    | 181 --------------
 .../api_docs/api/cudf.DataFrame.rsub.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.rtruediv.rst  |   6 -
 .../api_docs/api/cudf.DataFrame.sample.rst    |   6 -
 .../api/cudf.DataFrame.select_dtypes.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.set_index.rst |   6 -
 .../api_docs/api/cudf.DataFrame.shape.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.shift.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.size.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.skew.rst      |   6 -
 .../api/cudf.DataFrame.sort_index.rst         |   6 -
 .../api/cudf.DataFrame.sort_values.rst        |   6 -
 .../api_docs/api/cudf.DataFrame.stack.rst     |   6 -
 .../api_docs/api/cudf.DataFrame.std.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.sub.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.sum.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.tail.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.take.rst      |   6 -
 .../api_docs/api/cudf.DataFrame.to_csv.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.to_dict.rst   |   6 -
 .../api/cudf.DataFrame.to_feather.rst         |   6 -
 .../api_docs/api/cudf.DataFrame.to_hdf.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.to_json.rst   |   6 -
 .../api/cudf.DataFrame.to_parquet.rst         |   6 -
 .../api/cudf.DataFrame.to_records.rst         |   6 -
 .../api_docs/api/cudf.DataFrame.to_string.rst |   6 -
 .../api_docs/api/cudf.DataFrame.transpose.rst |   6 -
 .../api_docs/api/cudf.DataFrame.truediv.rst   |   6 -
 .../api_docs/api/cudf.DataFrame.unstack.rst   |   6 -
 .../api_docs/api/cudf.DataFrame.update.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.values.rst    |   6 -
 .../api_docs/api/cudf.DataFrame.var.rst       |   6 -
 .../api_docs/api/cudf.DataFrame.where.rst     |   6 -
 .../api_docs/api/cudf.Series.__array__.rst    |   6 -
 .../api_docs/api/cudf.Series.__iter__.rst     |   6 -
 .../source/api_docs/api/cudf.Series.abs.rst   |   6 -
 .../source/api_docs/api/cudf.Series.add.rst   |   6 -
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diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.T.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.T.rst
deleted file mode 100644
index 25124e8867b..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.T.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.T
-================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.T
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.__iter__.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.__iter__.rst
deleted file mode 100644
index 6b677ac74ba..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.__iter__.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.\_\_iter\_\_
-===========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.__iter__
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.add.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.add.rst
deleted file mode 100644
index b933d48bc0a..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.add.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.add
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.add
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.agg.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.agg.rst
deleted file mode 100644
index c7ac4d41007..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.agg.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.agg
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.agg
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.all.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.all.rst
deleted file mode 100644
index 40542a63be1..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.all.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.all
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.all
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.any.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.any.rst
deleted file mode 100644
index 5ba21bd312f..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.any.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.any
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.any
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.append.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.append.rst
deleted file mode 100644
index b82eb6f84cf..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.append.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.append
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.append
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.assign.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.assign.rst
deleted file mode 100644
index d0915e50f0c..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.assign.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.assign
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.assign
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.astype.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.astype.rst
deleted file mode 100644
index d0fb7487d97..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.astype.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.astype
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.astype
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.at.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.at.rst
deleted file mode 100644
index f80e6454131..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.at.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.at
-=================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.at
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.clip.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.clip.rst
deleted file mode 100644
index 4e31d13de01..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.clip.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.clip
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.clip
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.columns.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.columns.rst
deleted file mode 100644
index de1f0258759..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.columns.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.columns
-======================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.columns
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.copy.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.copy.rst
deleted file mode 100644
index a31a5d2735a..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.copy.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.copy
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.copy
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.corr.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.corr.rst
deleted file mode 100644
index 401bb038146..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.corr.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.corr
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.corr
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.count.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.count.rst
deleted file mode 100644
index fc9648dac50..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.count.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.count
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.count
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.cov.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.cov.rst
deleted file mode 100644
index c04de8dc7fd..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.cov.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.cov
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.cov
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.cummax.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.cummax.rst
deleted file mode 100644
index f7f7528c6f4..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.cummax.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.cummax
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.cummax
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.cummin.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.cummin.rst
deleted file mode 100644
index 9ca2e6b1260..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.cummin.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.cummin
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.cummin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.cumprod.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.cumprod.rst
deleted file mode 100644
index a8466880c01..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.cumprod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.cumprod
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.cumprod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.cumsum.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.cumsum.rst
deleted file mode 100644
index 2d708bef623..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.cumsum.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.cumsum
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.cumsum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.describe.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.describe.rst
deleted file mode 100644
index b5a873a900c..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.describe.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.describe
-=======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.describe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.div.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.div.rst
deleted file mode 100644
index 09712d78e0c..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.div.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.div
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.div
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.drop.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.drop.rst
deleted file mode 100644
index 6d46566674d..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.drop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.drop
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.drop_duplicates.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.drop_duplicates.rst
deleted file mode 100644
index da2ff3ac745..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.drop_duplicates.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.drop\_duplicates
-===============================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.drop_duplicates
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.dropna.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.dropna.rst
deleted file mode 100644
index ea12c21a746..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.dropna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.dropna
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.dropna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.dtypes.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.dtypes.rst
deleted file mode 100644
index a1621218fda..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.dtypes.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.dtypes
-=====================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.dtypes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.empty.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.empty.rst
deleted file mode 100644
index a76cd5f4c7f..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.empty.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.empty
-====================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.empty
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.equals.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.equals.rst
deleted file mode 100644
index 1d13ff81a8d..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.equals.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.equals
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.equals
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.explode.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.explode.rst
deleted file mode 100644
index c3c8a7c5517..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.explode.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.explode
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.explode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.fillna.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.fillna.rst
deleted file mode 100644
index e4a9d17116c..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.fillna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.fillna
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.fillna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.floordiv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.floordiv.rst
deleted file mode 100644
index 596d6527f73..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.floordiv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.floordiv
-=======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.floordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.from_records.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.from_records.rst
deleted file mode 100644
index d846fb716d6..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.from_records.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.from\_records
-============================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.from_records
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.groupby.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.groupby.rst
deleted file mode 100644
index 1336f1799df..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.groupby.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.groupby
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.head.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.head.rst
deleted file mode 100644
index 300ce94c5b1..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.head.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.head
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.head
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.iat.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.iat.rst
deleted file mode 100644
index 63ac068dbd1..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.iat.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.iat
-==================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.iat
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.iloc.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.iloc.rst
deleted file mode 100644
index b4901981e82..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.iloc.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.iloc
-===================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.iloc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.index.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.index.rst
deleted file mode 100644
index 45dd84fb2ff..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.index
-====================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.info.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.info.rst
deleted file mode 100644
index 155ab913cda..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.info.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.info
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.info
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.insert.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.insert.rst
deleted file mode 100644
index 59147e0e1d2..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.insert.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.insert
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.insert
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.isin.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.isin.rst
deleted file mode 100644
index 246adfd5839..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.isin.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.isin
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.isin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.isna.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.isna.rst
deleted file mode 100644
index c357d1fc735..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.isna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.isna
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.isna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.isnull.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.isnull.rst
deleted file mode 100644
index 6a53524bf77..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.isnull.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.isnull
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.isnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.iteritems.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.iteritems.rst
deleted file mode 100644
index 53a7a765408..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.iteritems.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.iteritems
-========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.iteritems
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.iterrows.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.iterrows.rst
deleted file mode 100644
index b8786b8c245..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.iterrows.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.iterrows
-=======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.iterrows
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.itertuples.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.itertuples.rst
deleted file mode 100644
index 39b423fae97..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.itertuples.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.itertuples
-=========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.itertuples
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.join.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.join.rst
deleted file mode 100644
index fbf3a654194..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.join.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.join
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.join
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.keys.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.keys.rst
deleted file mode 100644
index 65fd44cb545..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.keys.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.keys
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.keys
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.kurt.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.kurt.rst
deleted file mode 100644
index c0269b06880..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.kurt.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.kurt
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.kurt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.kurtosis.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.kurtosis.rst
deleted file mode 100644
index 51fd744610c..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.kurtosis.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.kurtosis
-=======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.kurtosis
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.loc.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.loc.rst
deleted file mode 100644
index 3e3aa275803..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.loc.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.loc
-==================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.loc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.mask.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.mask.rst
deleted file mode 100644
index 75ea8294e9a..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.mask.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.mask
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.mask
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.max.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.max.rst
deleted file mode 100644
index c79af1a6ad3..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.max.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.max
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.max
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.mean.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.mean.rst
deleted file mode 100644
index 0de3160ae59..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.mean.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.mean
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.mean
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.melt.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.melt.rst
deleted file mode 100644
index 2fa561ce7ee..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.melt.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.melt
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.melt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.memory_usage.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.memory_usage.rst
deleted file mode 100644
index 28d77875b32..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.memory_usage.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.memory\_usage
-============================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.memory_usage
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.merge.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.merge.rst
deleted file mode 100644
index 507ac7bd257..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.merge.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.merge
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.merge
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.min.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.min.rst
deleted file mode 100644
index 34fa97c3366..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.min.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.min
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.min
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.mod.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.mod.rst
deleted file mode 100644
index 5f07f14315a..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.mod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.mod
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.mod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.mode.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.mode.rst
deleted file mode 100644
index 23cb6a9c8d2..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.mode.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.mode
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.mode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.mul.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.mul.rst
deleted file mode 100644
index 8a0a9897746..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.mul.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.mul
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.mul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.ndim.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.ndim.rst
deleted file mode 100644
index d55a8eee601..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.ndim.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.ndim
-===================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.ndim
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.nlargest.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.nlargest.rst
deleted file mode 100644
index 1966e173b15..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.nlargest.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.nlargest
-=======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.nlargest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.notna.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.notna.rst
deleted file mode 100644
index 4103c1912c7..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.notna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.notna
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.notna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.notnull.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.notnull.rst
deleted file mode 100644
index e4979c3dd9e..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.notnull.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.notnull
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.notnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.nsmallest.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.nsmallest.rst
deleted file mode 100644
index 4c07c32b5d5..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.nsmallest.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.nsmallest
-========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.nsmallest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.pipe.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.pipe.rst
deleted file mode 100644
index c72fe47e131..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.pipe.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.pipe
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.pipe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.pivot.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.pivot.rst
deleted file mode 100644
index 89a6cb75afa..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.pivot.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.pivot
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.pivot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.pop.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.pop.rst
deleted file mode 100644
index 63eb7aabfaa..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.pop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.pop
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.pop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.pow.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.pow.rst
deleted file mode 100644
index 5357fa29104..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.pow.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.pow
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.pow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.prod.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.prod.rst
deleted file mode 100644
index 5ebf3e02716..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.prod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.prod
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.prod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.product.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.product.rst
deleted file mode 100644
index 13749e5b086..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.product.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.product
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.product
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.quantile.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.quantile.rst
deleted file mode 100644
index 4ab302cc82f..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.quantile.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.quantile
-=======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.quantile
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.query.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.query.rst
deleted file mode 100644
index f402361a8f2..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.query.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.query
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.query
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.radd.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.radd.rst
deleted file mode 100644
index a27ae4e1649..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.radd.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.radd
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.radd
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rank.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rank.rst
deleted file mode 100644
index 5543fed2a4b..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rank.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.rank
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.rank
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rdiv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rdiv.rst
deleted file mode 100644
index e71f5fdad8e..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rdiv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.rdiv
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.rdiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.reindex.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.reindex.rst
deleted file mode 100644
index 309abf95af3..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.reindex.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.reindex
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.reindex
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rename.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rename.rst
deleted file mode 100644
index b24f9b8243a..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rename.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.rename
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.rename
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.replace.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.replace.rst
deleted file mode 100644
index dd316bc6ec8..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.replace.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.replace
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.replace
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.reset_index.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.reset_index.rst
deleted file mode 100644
index 5b3add04c0e..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.reset_index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.reset\_index
-===========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.reset_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rfloordiv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rfloordiv.rst
deleted file mode 100644
index 99e59b81fd8..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rfloordiv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.rfloordiv
-========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.rfloordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rmod.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rmod.rst
deleted file mode 100644
index 1cd39611612..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rmod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.rmod
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.rmod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rmul.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rmul.rst
deleted file mode 100644
index 3c5b71a27e4..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rmul.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.rmul
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.rmul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rolling.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rolling.rst
deleted file mode 100644
index 21fbb9d0058..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rolling.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.rolling
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.rolling
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.round.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.round.rst
deleted file mode 100644
index 73edfd13546..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.round.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.round
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.round
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rpow.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rpow.rst
deleted file mode 100644
index 0f39b7f40a5..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rpow.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.rpow
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.rpow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rst
deleted file mode 100644
index 6d7607c03d2..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rst
+++ /dev/null
@@ -1,181 +0,0 @@
-cudf.DataFrame
-==============
-
-.. currentmodule:: cudf
-
-.. autoclass:: DataFrame
-
-   
-   .. automethod:: __init__
-
-   
-   .. rubric:: Methods
-
-   .. autosummary::
-   
-      ~DataFrame.__init__
-      ~DataFrame.acos
-      ~DataFrame.add
-      ~DataFrame.agg
-      ~DataFrame.all
-      ~DataFrame.any
-      ~DataFrame.append
-      ~DataFrame.apply_chunks
-      ~DataFrame.apply_rows
-      ~DataFrame.argsort
-      ~DataFrame.as_gpu_matrix
-      ~DataFrame.as_matrix
-      ~DataFrame.asin
-      ~DataFrame.assign
-      ~DataFrame.astype
-      ~DataFrame.atan
-      ~DataFrame.clip
-      ~DataFrame.copy
-      ~DataFrame.corr
-      ~DataFrame.cos
-      ~DataFrame.count
-      ~DataFrame.cov
-      ~DataFrame.cummax
-      ~DataFrame.cummin
-      ~DataFrame.cumprod
-      ~DataFrame.cumsum
-      ~DataFrame.describe
-      ~DataFrame.deserialize
-      ~DataFrame.device_deserialize
-      ~DataFrame.device_serialize
-      ~DataFrame.div
-      ~DataFrame.drop
-      ~DataFrame.drop_duplicates
-      ~DataFrame.dropna
-      ~DataFrame.equals
-      ~DataFrame.exp
-      ~DataFrame.explode
-      ~DataFrame.fillna
-      ~DataFrame.floordiv
-      ~DataFrame.from_arrow
-      ~DataFrame.from_pandas
-      ~DataFrame.from_records
-      ~DataFrame.groupby
-      ~DataFrame.hash_columns
-      ~DataFrame.head
-      ~DataFrame.host_deserialize
-      ~DataFrame.host_serialize
-      ~DataFrame.info
-      ~DataFrame.insert
-      ~DataFrame.interleave_columns
-      ~DataFrame.isin
-      ~DataFrame.isna
-      ~DataFrame.isnull
-      ~DataFrame.iteritems
-      ~DataFrame.iterrows
-      ~DataFrame.itertuples
-      ~DataFrame.join
-      ~DataFrame.keys
-      ~DataFrame.kurt
-      ~DataFrame.kurtosis
-      ~DataFrame.label_encoding
-      ~DataFrame.log
-      ~DataFrame.mask
-      ~DataFrame.max
-      ~DataFrame.mean
-      ~DataFrame.melt
-      ~DataFrame.memory_usage
-      ~DataFrame.merge
-      ~DataFrame.min
-      ~DataFrame.mod
-      ~DataFrame.mode
-      ~DataFrame.mul
-      ~DataFrame.nans_to_nulls
-      ~DataFrame.nlargest
-      ~DataFrame.notna
-      ~DataFrame.notnull
-      ~DataFrame.nsmallest
-      ~DataFrame.one_hot_encoding
-      ~DataFrame.partition_by_hash
-      ~DataFrame.pipe
-      ~DataFrame.pivot
-      ~DataFrame.pop
-      ~DataFrame.pow
-      ~DataFrame.prod
-      ~DataFrame.product
-      ~DataFrame.quantile
-      ~DataFrame.quantiles
-      ~DataFrame.query
-      ~DataFrame.radd
-      ~DataFrame.rank
-      ~DataFrame.rdiv
-      ~DataFrame.reindex
-      ~DataFrame.rename
-      ~DataFrame.repeat
-      ~DataFrame.replace
-      ~DataFrame.reset_index
-      ~DataFrame.rfloordiv
-      ~DataFrame.rmod
-      ~DataFrame.rmul
-      ~DataFrame.rolling
-      ~DataFrame.round
-      ~DataFrame.rpow
-      ~DataFrame.rsub
-      ~DataFrame.rtruediv
-      ~DataFrame.sample
-      ~DataFrame.scatter_by_map
-      ~DataFrame.searchsorted
-      ~DataFrame.select_dtypes
-      ~DataFrame.serialize
-      ~DataFrame.set_index
-      ~DataFrame.shift
-      ~DataFrame.sin
-      ~DataFrame.skew
-      ~DataFrame.sort_index
-      ~DataFrame.sort_values
-      ~DataFrame.sqrt
-      ~DataFrame.stack
-      ~DataFrame.std
-      ~DataFrame.sub
-      ~DataFrame.sum
-      ~DataFrame.tail
-      ~DataFrame.take
-      ~DataFrame.tan
-      ~DataFrame.tile
-      ~DataFrame.to_arrow
-      ~DataFrame.to_csv
-      ~DataFrame.to_dict
-      ~DataFrame.to_dlpack
-      ~DataFrame.to_feather
-      ~DataFrame.to_hdf
-      ~DataFrame.to_json
-      ~DataFrame.to_orc
-      ~DataFrame.to_pandas
-      ~DataFrame.to_parquet
-      ~DataFrame.to_records
-      ~DataFrame.to_string
-      ~DataFrame.transpose
-      ~DataFrame.truediv
-      ~DataFrame.unstack
-      ~DataFrame.update
-      ~DataFrame.var
-      ~DataFrame.where
-   
-   
-
-   
-   
-   .. rubric:: Attributes
-
-   .. autosummary::
-   
-      ~DataFrame.T
-      ~DataFrame.at
-      ~DataFrame.columns
-      ~DataFrame.dtypes
-      ~DataFrame.empty
-      ~DataFrame.iat
-      ~DataFrame.iloc
-      ~DataFrame.index
-      ~DataFrame.loc
-      ~DataFrame.ndim
-      ~DataFrame.shape
-      ~DataFrame.size
-      ~DataFrame.values
-   
-   
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rsub.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rsub.rst
deleted file mode 100644
index 678593a6cd1..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rsub.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.rsub
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.rsub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.rtruediv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.rtruediv.rst
deleted file mode 100644
index c6f9d551408..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.rtruediv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.rtruediv
-=======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.rtruediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.sample.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.sample.rst
deleted file mode 100644
index 403e7d2ddc3..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.sample.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.sample
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.sample
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.select_dtypes.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.select_dtypes.rst
deleted file mode 100644
index 3870b1bfc49..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.select_dtypes.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.select\_dtypes
-=============================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.select_dtypes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.set_index.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.set_index.rst
deleted file mode 100644
index ccb8f37a93f..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.set_index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.set\_index
-=========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.set_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.shape.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.shape.rst
deleted file mode 100644
index 5d20c5c39fd..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.shape.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.shape
-====================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.shape
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.shift.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.shift.rst
deleted file mode 100644
index 52341677810..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.shift.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.shift
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.shift
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.size.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.size.rst
deleted file mode 100644
index 6392d0bfc01..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.size.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.size
-===================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.size
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.skew.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.skew.rst
deleted file mode 100644
index 23b2923c35e..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.skew.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.skew
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.skew
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_index.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_index.rst
deleted file mode 100644
index 92a92185435..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.sort\_index
-==========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.sort_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_values.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_values.rst
deleted file mode 100644
index 118307482df..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.sort_values.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.sort\_values
-===========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.sort_values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.stack.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.stack.rst
deleted file mode 100644
index 9d2706107f5..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.stack.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.stack
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.stack
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.std.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.std.rst
deleted file mode 100644
index c9854c22784..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.std.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.std
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.std
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.sub.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.sub.rst
deleted file mode 100644
index 3003228e933..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.sub.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.sub
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.sub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.sum.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.sum.rst
deleted file mode 100644
index aaa037c8f39..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.sum.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.sum
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.sum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.tail.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.tail.rst
deleted file mode 100644
index ceb00034370..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.tail.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.tail
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.tail
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.take.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.take.rst
deleted file mode 100644
index 4c4ab320209..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.take.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.take
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.take
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_csv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_csv.rst
deleted file mode 100644
index 16f8892eb46..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_csv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.to\_csv
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.to_csv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_dict.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_dict.rst
deleted file mode 100644
index 1872692d2cc..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_dict.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.to\_dict
-=======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.to_dict
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_feather.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_feather.rst
deleted file mode 100644
index 544fd3037f0..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_feather.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.to\_feather
-==========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.to_feather
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_hdf.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_hdf.rst
deleted file mode 100644
index 0c73253e98f..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_hdf.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.to\_hdf
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.to_hdf
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_json.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_json.rst
deleted file mode 100644
index 9d1bcbb67dd..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_json.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.to\_json
-=======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.to_json
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_parquet.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_parquet.rst
deleted file mode 100644
index 038aaf8155c..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_parquet.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.to\_parquet
-==========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.to_parquet
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_records.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_records.rst
deleted file mode 100644
index 6d4c856a207..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_records.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.to\_records
-==========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.to_records
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_string.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.to_string.rst
deleted file mode 100644
index 604e9f74200..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.to_string.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.to\_string
-=========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.to_string
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.transpose.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.transpose.rst
deleted file mode 100644
index 3b65e5696a3..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.transpose.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.transpose
-========================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.transpose
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.truediv.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.truediv.rst
deleted file mode 100644
index b5e85b5f41c..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.truediv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.truediv
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.truediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.unstack.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.unstack.rst
deleted file mode 100644
index 8cd26b58ae9..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.unstack.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.unstack
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.unstack
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.update.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.update.rst
deleted file mode 100644
index 40c518ffa40..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.update.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.update
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.update
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.values.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.values.rst
deleted file mode 100644
index c786c84f5f8..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.values.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.values
-=====================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: DataFrame.values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.var.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.var.rst
deleted file mode 100644
index 3313fd72b6e..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.var.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.var
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.var
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.DataFrame.where.rst b/docs/cudf/source/api_docs/api/cudf.DataFrame.where.rst
deleted file mode 100644
index c2035bf11b0..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.DataFrame.where.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.where
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.where
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.__array__.rst b/docs/cudf/source/api_docs/api/cudf.Series.__array__.rst
deleted file mode 100644
index 0c4c8de3369..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.__array__.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.\_\_array\_\_
-=========================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.__array__
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.__iter__.rst b/docs/cudf/source/api_docs/api/cudf.Series.__iter__.rst
deleted file mode 100644
index d5a4d14f135..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.__iter__.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.\_\_iter\_\_
-========================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.__iter__
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.abs.rst b/docs/cudf/source/api_docs/api/cudf.Series.abs.rst
deleted file mode 100644
index 73c5da6a8ec..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.abs.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.abs
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.abs
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.add.rst b/docs/cudf/source/api_docs/api/cudf.Series.add.rst
deleted file mode 100644
index 8d12133bc99..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.add.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.add
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.add
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.all.rst b/docs/cudf/source/api_docs/api/cudf.Series.all.rst
deleted file mode 100644
index b2f10c4d6d9..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.all.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.all
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.all
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.any.rst b/docs/cudf/source/api_docs/api/cudf.Series.any.rst
deleted file mode 100644
index aa14761853a..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.any.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.any
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.any
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.append.rst b/docs/cudf/source/api_docs/api/cudf.Series.append.rst
deleted file mode 100644
index 28001818b75..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.append.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.append
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.append
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.argsort.rst b/docs/cudf/source/api_docs/api/cudf.Series.argsort.rst
deleted file mode 100644
index 49f2792f1b4..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.argsort.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.argsort
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.argsort
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.astype.rst b/docs/cudf/source/api_docs/api/cudf.Series.astype.rst
deleted file mode 100644
index 4e277445685..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.astype.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.astype
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.astype
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cat.rst b/docs/cudf/source/api_docs/api/cudf.Series.cat.rst
deleted file mode 100644
index 7cf5613422f..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.cat.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.cat
-===============
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.cat
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.clip.rst b/docs/cudf/source/api_docs/api/cudf.Series.clip.rst
deleted file mode 100644
index cf692d4748a..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.clip.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.clip
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.clip
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.copy.rst b/docs/cudf/source/api_docs/api/cudf.Series.copy.rst
deleted file mode 100644
index be01cb74123..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.copy.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.copy
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.copy
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.corr.rst b/docs/cudf/source/api_docs/api/cudf.Series.corr.rst
deleted file mode 100644
index 58f2f48e6dc..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.corr.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.corr
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.corr
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.count.rst b/docs/cudf/source/api_docs/api/cudf.Series.count.rst
deleted file mode 100644
index 97c97cd0a6b..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.count.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.count
-=================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.count
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cov.rst b/docs/cudf/source/api_docs/api/cudf.Series.cov.rst
deleted file mode 100644
index 84d7aa345b0..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.cov.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.cov
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.cov
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cummax.rst b/docs/cudf/source/api_docs/api/cudf.Series.cummax.rst
deleted file mode 100644
index 4280843a488..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.cummax.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.cummax
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.cummax
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cummin.rst b/docs/cudf/source/api_docs/api/cudf.Series.cummin.rst
deleted file mode 100644
index 5325162dc9e..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.cummin.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.cummin
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.cummin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cumprod.rst b/docs/cudf/source/api_docs/api/cudf.Series.cumprod.rst
deleted file mode 100644
index 89fdaeb3389..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.cumprod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.cumprod
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.cumprod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.cumsum.rst b/docs/cudf/source/api_docs/api/cudf.Series.cumsum.rst
deleted file mode 100644
index 561d6ad40e8..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.cumsum.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.cumsum
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.cumsum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.describe.rst b/docs/cudf/source/api_docs/api/cudf.Series.describe.rst
deleted file mode 100644
index e130498cd12..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.describe.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.describe
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.describe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.diff.rst b/docs/cudf/source/api_docs/api/cudf.Series.diff.rst
deleted file mode 100644
index 6e4f4fdc6fa..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.diff.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.diff
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.diff
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.drop.rst b/docs/cudf/source/api_docs/api/cudf.Series.drop.rst
deleted file mode 100644
index bfa29fd5b96..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.drop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.drop
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.drop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.drop_duplicates.rst b/docs/cudf/source/api_docs/api/cudf.Series.drop_duplicates.rst
deleted file mode 100644
index 92c8047cf60..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.drop_duplicates.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.drop\_duplicates
-============================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.drop_duplicates
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.dropna.rst b/docs/cudf/source/api_docs/api/cudf.Series.dropna.rst
deleted file mode 100644
index 58b020cc58b..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.dropna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.dropna
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.dropna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.dt.rst b/docs/cudf/source/api_docs/api/cudf.Series.dt.rst
deleted file mode 100644
index dece7c123d2..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.dt.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.dt
-==============
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.dt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.dtype.rst b/docs/cudf/source/api_docs/api/cudf.Series.dtype.rst
deleted file mode 100644
index c2ca8be355a..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.dtype.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.dtype
-=================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.dtype
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.empty.rst b/docs/cudf/source/api_docs/api/cudf.Series.empty.rst
deleted file mode 100644
index b01263df4d0..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.empty.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.empty
-=================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.empty
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.eq.rst b/docs/cudf/source/api_docs/api/cudf.Series.eq.rst
deleted file mode 100644
index abdecc43672..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.eq.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.eq
-==============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.eq
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.equals.rst b/docs/cudf/source/api_docs/api/cudf.Series.equals.rst
deleted file mode 100644
index a8fd530dbec..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.equals.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.equals
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.equals
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.explode.rst b/docs/cudf/source/api_docs/api/cudf.Series.explode.rst
deleted file mode 100644
index 77c76b5fb9d..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.explode.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.explode
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.explode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.factorize.rst b/docs/cudf/source/api_docs/api/cudf.Series.factorize.rst
deleted file mode 100644
index 2a5a3e83a40..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.factorize.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.factorize
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.factorize
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.fillna.rst b/docs/cudf/source/api_docs/api/cudf.Series.fillna.rst
deleted file mode 100644
index 51c10af2bfe..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.fillna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.fillna
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.fillna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.floordiv.rst b/docs/cudf/source/api_docs/api/cudf.Series.floordiv.rst
deleted file mode 100644
index d6dc083c722..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.floordiv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.floordiv
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.floordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.ge.rst b/docs/cudf/source/api_docs/api/cudf.Series.ge.rst
deleted file mode 100644
index d4d4aac0b44..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.ge.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.ge
-==============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.ge
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.groupby.rst b/docs/cudf/source/api_docs/api/cudf.Series.groupby.rst
deleted file mode 100644
index d5d73a21e01..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.groupby.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.groupby
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.gt.rst b/docs/cudf/source/api_docs/api/cudf.Series.gt.rst
deleted file mode 100644
index 820bb11892a..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.gt.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.gt
-==============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.gt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.head.rst b/docs/cudf/source/api_docs/api/cudf.Series.head.rst
deleted file mode 100644
index 34aa2c49ab0..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.head.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.head
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.head
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.iloc.rst b/docs/cudf/source/api_docs/api/cudf.Series.iloc.rst
deleted file mode 100644
index 6a00f47e5b5..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.iloc.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.iloc
-================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.iloc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.index.rst b/docs/cudf/source/api_docs/api/cudf.Series.index.rst
deleted file mode 100644
index 4247bb19ae7..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.index
-=================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic.rst b/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic.rst
deleted file mode 100644
index 90da44d63b8..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.is\_monotonic
-=========================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.is_monotonic
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_decreasing.rst b/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_decreasing.rst
deleted file mode 100644
index e13d84f9a7b..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_decreasing.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.is\_monotonic\_decreasing
-=====================================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.is_monotonic_decreasing
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_increasing.rst b/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_increasing.rst
deleted file mode 100644
index 042a38d81cd..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.is_monotonic_increasing.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.is\_monotonic\_increasing
-=====================================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.is_monotonic_increasing
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.is_unique.rst b/docs/cudf/source/api_docs/api/cudf.Series.is_unique.rst
deleted file mode 100644
index b2e8ccdaf84..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.is_unique.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.is\_unique
-======================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.is_unique
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.isin.rst b/docs/cudf/source/api_docs/api/cudf.Series.isin.rst
deleted file mode 100644
index 3b8a0d52f12..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.isin.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.isin
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.isin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.isna.rst b/docs/cudf/source/api_docs/api/cudf.Series.isna.rst
deleted file mode 100644
index d68e294f088..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.isna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.isna
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.isna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.isnull.rst b/docs/cudf/source/api_docs/api/cudf.Series.isnull.rst
deleted file mode 100644
index 36db975b80b..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.isnull.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.isnull
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.isnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.items.rst b/docs/cudf/source/api_docs/api/cudf.Series.items.rst
deleted file mode 100644
index d04cab76b96..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.items.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.items
-=================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.items
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.iteritems.rst b/docs/cudf/source/api_docs/api/cudf.Series.iteritems.rst
deleted file mode 100644
index a4cba62c0b5..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.iteritems.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.iteritems
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.iteritems
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.keys.rst b/docs/cudf/source/api_docs/api/cudf.Series.keys.rst
deleted file mode 100644
index d40c33b47e1..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.keys.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.keys
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.keys
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.kurt.rst b/docs/cudf/source/api_docs/api/cudf.Series.kurt.rst
deleted file mode 100644
index 63f6a887ab4..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.kurt.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.kurt
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.kurt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.kurtosis.rst b/docs/cudf/source/api_docs/api/cudf.Series.kurtosis.rst
deleted file mode 100644
index e6b479d232a..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.kurtosis.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.kurtosis
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.kurtosis
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.le.rst b/docs/cudf/source/api_docs/api/cudf.Series.le.rst
deleted file mode 100644
index 1ed319207c0..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.le.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.le
-==============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.le
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.loc.rst b/docs/cudf/source/api_docs/api/cudf.Series.loc.rst
deleted file mode 100644
index 73263375ac9..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.loc.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.loc
-===============
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.loc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.lt.rst b/docs/cudf/source/api_docs/api/cudf.Series.lt.rst
deleted file mode 100644
index e3476b31d58..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.lt.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.lt
-==============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.lt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.map.rst b/docs/cudf/source/api_docs/api/cudf.Series.map.rst
deleted file mode 100644
index f9df1375682..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.map.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.map
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.map
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.mask.rst b/docs/cudf/source/api_docs/api/cudf.Series.mask.rst
deleted file mode 100644
index 30474b9115d..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.mask.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.mask
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.mask
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.max.rst b/docs/cudf/source/api_docs/api/cudf.Series.max.rst
deleted file mode 100644
index 8bc038974af..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.max.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.max
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.max
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.mean.rst b/docs/cudf/source/api_docs/api/cudf.Series.mean.rst
deleted file mode 100644
index f38a630aefa..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.mean.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.mean
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.mean
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.median.rst b/docs/cudf/source/api_docs/api/cudf.Series.median.rst
deleted file mode 100644
index 7ca126be8bf..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.median.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.median
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.median
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.memory_usage.rst b/docs/cudf/source/api_docs/api/cudf.Series.memory_usage.rst
deleted file mode 100644
index 9bbc4a0e42f..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.memory_usage.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.memory\_usage
-=========================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.memory_usage
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.min.rst b/docs/cudf/source/api_docs/api/cudf.Series.min.rst
deleted file mode 100644
index f67b7fd3ba4..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.min.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.min
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.min
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.mod.rst b/docs/cudf/source/api_docs/api/cudf.Series.mod.rst
deleted file mode 100644
index 20c8b5573a4..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.mod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.mod
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.mod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.mode.rst b/docs/cudf/source/api_docs/api/cudf.Series.mode.rst
deleted file mode 100644
index 614ed44aee8..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.mode.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.mode
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.mode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.mul.rst b/docs/cudf/source/api_docs/api/cudf.Series.mul.rst
deleted file mode 100644
index 16efb7891e1..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.mul.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.mul
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.mul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.name.rst b/docs/cudf/source/api_docs/api/cudf.Series.name.rst
deleted file mode 100644
index 5fc702aa1ed..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.name.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.name
-================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.name
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.ndim.rst b/docs/cudf/source/api_docs/api/cudf.Series.ndim.rst
deleted file mode 100644
index 4938f0654c1..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.ndim.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.ndim
-================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.ndim
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.ne.rst b/docs/cudf/source/api_docs/api/cudf.Series.ne.rst
deleted file mode 100644
index 84f337eef6f..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.ne.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.ne
-==============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.ne
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.nlargest.rst b/docs/cudf/source/api_docs/api/cudf.Series.nlargest.rst
deleted file mode 100644
index 50b49d6efc3..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.nlargest.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.nlargest
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.nlargest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.notna.rst b/docs/cudf/source/api_docs/api/cudf.Series.notna.rst
deleted file mode 100644
index ebe5a1a662e..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.notna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.notna
-=================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.notna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.notnull.rst b/docs/cudf/source/api_docs/api/cudf.Series.notnull.rst
deleted file mode 100644
index 8f605dac836..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.notnull.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.notnull
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.notnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.nsmallest.rst b/docs/cudf/source/api_docs/api/cudf.Series.nsmallest.rst
deleted file mode 100644
index 285b06d8198..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.nsmallest.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.nsmallest
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.nsmallest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.nunique.rst b/docs/cudf/source/api_docs/api/cudf.Series.nunique.rst
deleted file mode 100644
index a64bc64217c..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.nunique.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.nunique
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.nunique
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.pipe.rst b/docs/cudf/source/api_docs/api/cudf.Series.pipe.rst
deleted file mode 100644
index 6717547b6af..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.pipe.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.pipe
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.pipe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.pow.rst b/docs/cudf/source/api_docs/api/cudf.Series.pow.rst
deleted file mode 100644
index 34ed150fa82..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.pow.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.pow
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.pow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.prod.rst b/docs/cudf/source/api_docs/api/cudf.Series.prod.rst
deleted file mode 100644
index 28b2ac3fb66..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.prod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.prod
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.prod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.product.rst b/docs/cudf/source/api_docs/api/cudf.Series.product.rst
deleted file mode 100644
index 0baf88de478..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.product.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.product
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.product
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.quantile.rst b/docs/cudf/source/api_docs/api/cudf.Series.quantile.rst
deleted file mode 100644
index 80789c444a5..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.quantile.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.quantile
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.quantile
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.radd.rst b/docs/cudf/source/api_docs/api/cudf.Series.radd.rst
deleted file mode 100644
index f385b30c142..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.radd.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.radd
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.radd
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rank.rst b/docs/cudf/source/api_docs/api/cudf.Series.rank.rst
deleted file mode 100644
index a05f68f6b85..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.rank.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.rank
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.rank
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.reindex.rst b/docs/cudf/source/api_docs/api/cudf.Series.reindex.rst
deleted file mode 100644
index 73b37437d88..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.reindex.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.reindex
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.reindex
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rename.rst b/docs/cudf/source/api_docs/api/cudf.Series.rename.rst
deleted file mode 100644
index 3da4b45cdd5..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.rename.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.rename
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.rename
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.repeat.rst b/docs/cudf/source/api_docs/api/cudf.Series.repeat.rst
deleted file mode 100644
index c40030f685c..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.repeat.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.repeat
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.repeat
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.replace.rst b/docs/cudf/source/api_docs/api/cudf.Series.replace.rst
deleted file mode 100644
index e8f646d12ab..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.replace.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.replace
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.replace
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.reset_index.rst b/docs/cudf/source/api_docs/api/cudf.Series.reset_index.rst
deleted file mode 100644
index 170eb499ad1..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.reset_index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.reset\_index
-========================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.reset_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rfloordiv.rst b/docs/cudf/source/api_docs/api/cudf.Series.rfloordiv.rst
deleted file mode 100644
index 6e3cadbe616..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.rfloordiv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.rfloordiv
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.rfloordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rmod.rst b/docs/cudf/source/api_docs/api/cudf.Series.rmod.rst
deleted file mode 100644
index eec1bfb9211..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.rmod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.rmod
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.rmod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rmul.rst b/docs/cudf/source/api_docs/api/cudf.Series.rmul.rst
deleted file mode 100644
index bc96e5fb616..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.rmul.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.rmul
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.rmul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rolling.rst b/docs/cudf/source/api_docs/api/cudf.Series.rolling.rst
deleted file mode 100644
index 2c796281881..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.rolling.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.rolling
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.rolling
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.round.rst b/docs/cudf/source/api_docs/api/cudf.Series.round.rst
deleted file mode 100644
index 96a7bbc50d3..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.round.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.round
-=================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.round
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rpow.rst b/docs/cudf/source/api_docs/api/cudf.Series.rpow.rst
deleted file mode 100644
index 13a6ea51009..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.rpow.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.rpow
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.rpow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rst b/docs/cudf/source/api_docs/api/cudf.Series.rst
deleted file mode 100644
index 9c6679c1c64..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.rst
+++ /dev/null
@@ -1,205 +0,0 @@
-cudf.Series
-===========
-
-.. currentmodule:: cudf
-
-.. autoclass:: Series
-
-   
-   .. automethod:: __init__
-
-   
-   .. rubric:: Methods
-
-   .. autosummary::
-   
-      ~Series.__init__
-      ~Series.abs
-      ~Series.acos
-      ~Series.add
-      ~Series.all
-      ~Series.any
-      ~Series.append
-      ~Series.applymap
-      ~Series.argsort
-      ~Series.as_index
-      ~Series.as_mask
-      ~Series.asin
-      ~Series.astype
-      ~Series.atan
-      ~Series.ceil
-      ~Series.clip
-      ~Series.copy
-      ~Series.corr
-      ~Series.cos
-      ~Series.count
-      ~Series.cov
-      ~Series.cummax
-      ~Series.cummin
-      ~Series.cumprod
-      ~Series.cumsum
-      ~Series.describe
-      ~Series.deserialize
-      ~Series.device_deserialize
-      ~Series.device_serialize
-      ~Series.diff
-      ~Series.digitize
-      ~Series.drop
-      ~Series.drop_duplicates
-      ~Series.dropna
-      ~Series.eq
-      ~Series.equals
-      ~Series.exp
-      ~Series.explode
-      ~Series.factorize
-      ~Series.fill
-      ~Series.fillna
-      ~Series.floor
-      ~Series.floordiv
-      ~Series.from_arrow
-      ~Series.from_categorical
-      ~Series.from_masked_array
-      ~Series.from_pandas
-      ~Series.ge
-      ~Series.groupby
-      ~Series.gt
-      ~Series.hash_encode
-      ~Series.hash_values
-      ~Series.head
-      ~Series.host_deserialize
-      ~Series.host_serialize
-      ~Series.interleave_columns
-      ~Series.isin
-      ~Series.isna
-      ~Series.isnull
-      ~Series.items
-      ~Series.iteritems
-      ~Series.keys
-      ~Series.kurt
-      ~Series.kurtosis
-      ~Series.label_encoding
-      ~Series.le
-      ~Series.log
-      ~Series.logical_and
-      ~Series.logical_not
-      ~Series.logical_or
-      ~Series.lt
-      ~Series.map
-      ~Series.mask
-      ~Series.max
-      ~Series.mean
-      ~Series.median
-      ~Series.memory_usage
-      ~Series.merge
-      ~Series.min
-      ~Series.mod
-      ~Series.mode
-      ~Series.mul
-      ~Series.multiply
-      ~Series.nans_to_nulls
-      ~Series.ne
-      ~Series.nlargest
-      ~Series.notna
-      ~Series.notnull
-      ~Series.nsmallest
-      ~Series.nunique
-      ~Series.one_hot_encoding
-      ~Series.pipe
-      ~Series.pow
-      ~Series.prod
-      ~Series.product
-      ~Series.quantile
-      ~Series.radd
-      ~Series.rank
-      ~Series.reindex
-      ~Series.remainder
-      ~Series.rename
-      ~Series.repeat
-      ~Series.replace
-      ~Series.reset_index
-      ~Series.reverse
-      ~Series.rfloordiv
-      ~Series.rmod
-      ~Series.rmul
-      ~Series.rolling
-      ~Series.round
-      ~Series.rpow
-      ~Series.rsub
-      ~Series.rtruediv
-      ~Series.sample
-      ~Series.scale
-      ~Series.scatter_by_map
-      ~Series.searchsorted
-      ~Series.serialize
-      ~Series.set_index
-      ~Series.set_mask
-      ~Series.shift
-      ~Series.sin
-      ~Series.skew
-      ~Series.sort_index
-      ~Series.sort_values
-      ~Series.sqrt
-      ~Series.std
-      ~Series.sub
-      ~Series.subtract
-      ~Series.sum
-      ~Series.sum_of_squares
-      ~Series.tail
-      ~Series.take
-      ~Series.tan
-      ~Series.tile
-      ~Series.to_array
-      ~Series.to_arrow
-      ~Series.to_dict
-      ~Series.to_dlpack
-      ~Series.to_frame
-      ~Series.to_gpu_array
-      ~Series.to_hdf
-      ~Series.to_json
-      ~Series.to_list
-      ~Series.to_pandas
-      ~Series.to_string
-      ~Series.tolist
-      ~Series.truediv
-      ~Series.unique
-      ~Series.update
-      ~Series.value_counts
-      ~Series.var
-      ~Series.where
-   
-   
-
-   
-   
-   .. rubric:: Attributes
-
-   .. autosummary::
-   
-      ~Series.cat
-      ~Series.data
-      ~Series.dt
-      ~Series.dtype
-      ~Series.empty
-      ~Series.has_nulls
-      ~Series.iloc
-      ~Series.index
-      ~Series.is_monotonic
-      ~Series.is_monotonic_decreasing
-      ~Series.is_monotonic_increasing
-      ~Series.is_unique
-      ~Series.list
-      ~Series.loc
-      ~Series.name
-      ~Series.ndim
-      ~Series.null_count
-      ~Series.nullable
-      ~Series.nullmask
-      ~Series.shape
-      ~Series.size
-      ~Series.str
-      ~Series.struct
-      ~Series.valid_count
-      ~Series.values
-      ~Series.values_host
-   
-   
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rsub.rst b/docs/cudf/source/api_docs/api/cudf.Series.rsub.rst
deleted file mode 100644
index 43c54ad1f72..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.rsub.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.rsub
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.rsub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.rtruediv.rst b/docs/cudf/source/api_docs/api/cudf.Series.rtruediv.rst
deleted file mode 100644
index a5d45a08b31..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.rtruediv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.rtruediv
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.rtruediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.sample.rst b/docs/cudf/source/api_docs/api/cudf.Series.sample.rst
deleted file mode 100644
index bc9ed939c94..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.sample.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.sample
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.sample
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.searchsorted.rst b/docs/cudf/source/api_docs/api/cudf.Series.searchsorted.rst
deleted file mode 100644
index 1673672a139..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.searchsorted.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.searchsorted
-========================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.searchsorted
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.shape.rst b/docs/cudf/source/api_docs/api/cudf.Series.shape.rst
deleted file mode 100644
index fd9b9c78df8..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.shape.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.shape
-=================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.shape
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.shift.rst b/docs/cudf/source/api_docs/api/cudf.Series.shift.rst
deleted file mode 100644
index 86cafcf8771..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.shift.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.shift
-=================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.shift
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.size.rst b/docs/cudf/source/api_docs/api/cudf.Series.size.rst
deleted file mode 100644
index a4863b2b6f3..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.size.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.size
-================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.size
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.skew.rst b/docs/cudf/source/api_docs/api/cudf.Series.skew.rst
deleted file mode 100644
index 30f7b7e1811..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.skew.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.skew
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.skew
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.sort_index.rst b/docs/cudf/source/api_docs/api/cudf.Series.sort_index.rst
deleted file mode 100644
index 6dcc4b8b12f..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.sort_index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.sort\_index
-=======================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.sort_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.sort_values.rst b/docs/cudf/source/api_docs/api/cudf.Series.sort_values.rst
deleted file mode 100644
index dbb4c8e926c..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.sort_values.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.sort\_values
-========================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.sort_values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.std.rst b/docs/cudf/source/api_docs/api/cudf.Series.std.rst
deleted file mode 100644
index 556479b4a78..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.std.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.std
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.std
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.str.rst b/docs/cudf/source/api_docs/api/cudf.Series.str.rst
deleted file mode 100644
index 7f7d3ac65bf..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.str.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.str
-===============
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.str
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.sub.rst b/docs/cudf/source/api_docs/api/cudf.Series.sub.rst
deleted file mode 100644
index 940bc172ab0..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.sub.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.sub
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.sub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.sum.rst b/docs/cudf/source/api_docs/api/cudf.Series.sum.rst
deleted file mode 100644
index 2a909e6002b..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.sum.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.sum
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.sum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.tail.rst b/docs/cudf/source/api_docs/api/cudf.Series.tail.rst
deleted file mode 100644
index cf2c7855691..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.tail.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.tail
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.tail
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.take.rst b/docs/cudf/source/api_docs/api/cudf.Series.take.rst
deleted file mode 100644
index cf871af11d6..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.take.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.take
-================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.take
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_dict.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_dict.rst
deleted file mode 100644
index 245dea46d58..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.to_dict.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.to\_dict
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.to_dict
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_frame.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_frame.rst
deleted file mode 100644
index 18abeaae928..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.to_frame.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.to\_frame
-=====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.to_frame
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_hdf.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_hdf.rst
deleted file mode 100644
index 5c8b5c3ae68..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.to_hdf.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.to\_hdf
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.to_hdf
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_json.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_json.rst
deleted file mode 100644
index f36b90e64a8..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.to_json.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.to\_json
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.to_json
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_list.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_list.rst
deleted file mode 100644
index 0b7eda982cb..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.to_list.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.to\_list
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.to_list
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.to_string.rst b/docs/cudf/source/api_docs/api/cudf.Series.to_string.rst
deleted file mode 100644
index a1d8e49c5d3..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.to_string.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.to\_string
-======================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.to_string
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.truediv.rst b/docs/cudf/source/api_docs/api/cudf.Series.truediv.rst
deleted file mode 100644
index 07dd45c5a56..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.truediv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.truediv
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.truediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.unique.rst b/docs/cudf/source/api_docs/api/cudf.Series.unique.rst
deleted file mode 100644
index a9873809e1b..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.unique.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.unique
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.unique
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.update.rst b/docs/cudf/source/api_docs/api/cudf.Series.update.rst
deleted file mode 100644
index 1f7c7e10fb1..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.update.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.update
-==================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.update
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.value_counts.rst b/docs/cudf/source/api_docs/api/cudf.Series.value_counts.rst
deleted file mode 100644
index e29d499a297..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.value_counts.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.value\_counts
-=========================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.value_counts
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.values.rst b/docs/cudf/source/api_docs/api/cudf.Series.values.rst
deleted file mode 100644
index e91eaebdb47..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.values.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.values
-==================
-
-.. currentmodule:: cudf
-
-.. autoproperty:: Series.values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.var.rst b/docs/cudf/source/api_docs/api/cudf.Series.var.rst
deleted file mode 100644
index cfa470f6711..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.var.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.var
-===============
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.var
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/cudf.Series.where.rst b/docs/cudf/source/api_docs/api/cudf.Series.where.rst
deleted file mode 100644
index c6b53babf11..00000000000
--- a/docs/cudf/source/api_docs/api/cudf.Series.where.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.Series.where
-=================
-
-.. currentmodule:: cudf
-
-.. automethod:: Series.where
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.T.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.T.rst
deleted file mode 100644
index 03537765d1c..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.T.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.T
-==================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.T
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.__iter__.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.__iter__.rst
deleted file mode 100644
index b87f2f1cbf8..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.__iter__.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.\_\_iter\_\_
-=============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.__iter__
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.abs.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.abs.rst
deleted file mode 100644
index 436ab756650..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.abs.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.abs
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.abs
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.add.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.add.rst
deleted file mode 100644
index 3548062e08f..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.add.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.add
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.add
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.add_prefix.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.add_prefix.rst
deleted file mode 100644
index adfcb156943..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.add_prefix.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.add\_prefix
-============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.add_prefix
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.add_suffix.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.add_suffix.rst
deleted file mode 100644
index 7e5d1dc754c..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.add_suffix.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.add\_suffix
-============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.add_suffix
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.agg.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.agg.rst
deleted file mode 100644
index d70669c611e..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.agg.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.agg
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.agg
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.aggregate.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.aggregate.rst
deleted file mode 100644
index 7ce8d54b9bb..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.aggregate.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.aggregate
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.aggregate
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.align.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.align.rst
deleted file mode 100644
index 51127fcca22..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.align.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.align
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.align
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.all.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.all.rst
deleted file mode 100644
index 5f5e0dcba4b..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.all.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.all
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.all
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.any.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.any.rst
deleted file mode 100644
index a52b7b3c6d4..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.any.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.any
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.any
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.append.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.append.rst
deleted file mode 100644
index da28b001828..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.append.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.append
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.append
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.apply.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.apply.rst
deleted file mode 100644
index ba56bcdc088..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.apply.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.apply
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.apply
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.applymap.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.applymap.rst
deleted file mode 100644
index bfeacbb8283..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.applymap.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.applymap
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.applymap
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.asfreq.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.asfreq.rst
deleted file mode 100644
index 249c5e0e355..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.asfreq.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.asfreq
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.asfreq
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.asof.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.asof.rst
deleted file mode 100644
index 34085e65158..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.asof.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.asof
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.asof
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.assign.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.assign.rst
deleted file mode 100644
index 15fd1e4eb90..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.assign.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.assign
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.assign
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.astype.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.astype.rst
deleted file mode 100644
index 50bf5e4bc57..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.astype.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.astype
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.astype
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.at.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.at.rst
deleted file mode 100644
index 43a5f859ce3..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.at.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.at
-===================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.at
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.at_time.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.at_time.rst
deleted file mode 100644
index 79bd0721f36..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.at_time.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.at\_time
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.at_time
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.attrs.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.attrs.rst
deleted file mode 100644
index 09b0c927efa..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.attrs.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.attrs
-======================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.attrs
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.axes.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.axes.rst
deleted file mode 100644
index c0b8cfe30fb..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.axes.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.axes
-=====================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.axes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.backfill.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.backfill.rst
deleted file mode 100644
index 4414f0dc17d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.backfill.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.backfill
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.backfill
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.between_time.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.between_time.rst
deleted file mode 100644
index 9e44bb4e821..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.between_time.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.between\_time
-==============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.between_time
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.bfill.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.bfill.rst
deleted file mode 100644
index 92a7ab5904c..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.bfill.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.bfill
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.bfill
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.bool.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.bool.rst
deleted file mode 100644
index 48ec48da1ff..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.bool.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.bool
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.bool
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.boxplot.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.boxplot.rst
deleted file mode 100644
index e272a254269..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.boxplot.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.boxplot
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.boxplot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.clip.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.clip.rst
deleted file mode 100644
index 101a72aec5c..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.clip.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.clip
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.clip
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.columns.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.columns.rst
deleted file mode 100644
index eba6ca9e945..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.columns.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.columns
-========================
-
-.. currentmodule:: pandas
-
-.. autoattribute:: DataFrame.columns
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.combine.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.combine.rst
deleted file mode 100644
index fa084fa9d85..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.combine.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.combine
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.combine
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.combine_first.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.combine_first.rst
deleted file mode 100644
index ae749204c36..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.combine_first.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.combine\_first
-===============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.combine_first
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.compare.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.compare.rst
deleted file mode 100644
index 539a491c4b6..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.compare.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.compare
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.compare
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.convert_dtypes.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.convert_dtypes.rst
deleted file mode 100644
index e740f012f15..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.convert_dtypes.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.convert\_dtypes
-================================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.convert_dtypes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.copy.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.copy.rst
deleted file mode 100644
index 19857b90b06..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.copy.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.copy
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.copy
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.corr.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.corr.rst
deleted file mode 100644
index 9893057e033..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.corr.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.corr
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.corr
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.corrwith.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.corrwith.rst
deleted file mode 100644
index 07b8b81c734..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.corrwith.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.corrwith
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.corrwith
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.count.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.count.rst
deleted file mode 100644
index 77a3c7309e3..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.count.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.count
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.count
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.cov.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.cov.rst
deleted file mode 100644
index 5501bec774d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.cov.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.cov
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.cov
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.cummax.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.cummax.rst
deleted file mode 100644
index 84389d5516c..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.cummax.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.cummax
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.cummax
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.cummin.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.cummin.rst
deleted file mode 100644
index 7e4cc6cffcb..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.cummin.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.cummin
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.cummin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.cumprod.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.cumprod.rst
deleted file mode 100644
index efd1eaaaeab..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.cumprod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.cumprod
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.cumprod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.cumsum.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.cumsum.rst
deleted file mode 100644
index 54fd81bc4ba..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.cumsum.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.cumsum
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.cumsum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.describe.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.describe.rst
deleted file mode 100644
index bf54abc99ce..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.describe.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.describe
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.describe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.diff.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.diff.rst
deleted file mode 100644
index f5cfbea3f3a..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.diff.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.diff
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.diff
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.div.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.div.rst
deleted file mode 100644
index 49926f9f384..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.div.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.div
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.div
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.dot.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.dot.rst
deleted file mode 100644
index 0f5ec373abb..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.dot.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.dot
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.dot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.drop.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.drop.rst
deleted file mode 100644
index 9ee305369db..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.drop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.drop
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.drop_duplicates.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.drop_duplicates.rst
deleted file mode 100644
index 9a72f602cf5..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.drop_duplicates.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.drop\_duplicates
-=================================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.drop_duplicates
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.droplevel.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.droplevel.rst
deleted file mode 100644
index fe3e4ed7dbd..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.droplevel.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.droplevel
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.droplevel
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.dropna.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.dropna.rst
deleted file mode 100644
index bf67d663c2a..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.dropna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.dropna
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.dropna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.dtypes.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.dtypes.rst
deleted file mode 100644
index f7bc0086449..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.dtypes.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.dtypes
-=======================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.dtypes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.duplicated.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.duplicated.rst
deleted file mode 100644
index dc0ce02d412..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.duplicated.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.duplicated
-===========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.duplicated
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.empty.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.empty.rst
deleted file mode 100644
index 1566f4b84cd..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.empty.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.empty
-======================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.empty
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.eq.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.eq.rst
deleted file mode 100644
index ab3e0e53934..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.eq.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.eq
-===================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.eq
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.equals.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.equals.rst
deleted file mode 100644
index 06e9ef4b620..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.equals.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.equals
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.equals
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.eval.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.eval.rst
deleted file mode 100644
index 794afecf147..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.eval.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.eval
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.eval
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.ewm.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.ewm.rst
deleted file mode 100644
index 095c7bffe3f..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.ewm.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.ewm
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.ewm
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.expanding.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.expanding.rst
deleted file mode 100644
index 09f9280c148..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.expanding.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.expanding
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.expanding
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.explode.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.explode.rst
deleted file mode 100644
index b593a3df556..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.explode.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.explode
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.explode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.ffill.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.ffill.rst
deleted file mode 100644
index e690dbf8f3a..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.ffill.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.ffill
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.ffill
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.fillna.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.fillna.rst
deleted file mode 100644
index 2aab63b418d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.fillna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.fillna
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.fillna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.filter.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.filter.rst
deleted file mode 100644
index fb7bdfc146d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.filter.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.filter
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.filter
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.first.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.first.rst
deleted file mode 100644
index 86af8ed6384..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.first.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.first
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.first
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.first_valid_index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.first_valid_index.rst
deleted file mode 100644
index aa02ea01184..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.first_valid_index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.first\_valid\_index
-====================================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.first_valid_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.floordiv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.floordiv.rst
deleted file mode 100644
index 84593cbb661..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.floordiv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.floordiv
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.floordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.from_dict.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.from_dict.rst
deleted file mode 100644
index 185c2101293..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.from_dict.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.from\_dict
-===========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.from_dict
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.from_records.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.from_records.rst
deleted file mode 100644
index d9e1b1b2f97..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.from_records.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.from\_records
-==============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.from_records
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.ge.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.ge.rst
deleted file mode 100644
index 07ca9a1ea38..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.ge.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.ge
-===================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.ge
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.get.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.get.rst
deleted file mode 100644
index 8666f9cf49a..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.get.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.get
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.get
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.groupby.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.groupby.rst
deleted file mode 100644
index f8872657308..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.groupby.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.groupby
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.gt.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.gt.rst
deleted file mode 100644
index 769a5b529ba..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.gt.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.gt
-===================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.gt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.head.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.head.rst
deleted file mode 100644
index 91b80799a37..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.head.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.head
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.head
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.hist.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.hist.rst
deleted file mode 100644
index d00f2ed8d21..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.hist.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.hist
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.hist
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.iat.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.iat.rst
deleted file mode 100644
index f5e7d2e5bb8..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.iat.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.iat
-====================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.iat
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmax.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmax.rst
deleted file mode 100644
index 7d04f17f603..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmax.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.idxmax
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.idxmax
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmin.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmin.rst
deleted file mode 100644
index 20148233718..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.idxmin.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.idxmin
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.idxmin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.iloc.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.iloc.rst
deleted file mode 100644
index a037a5a4438..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.iloc.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.iloc
-=====================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.iloc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.index.rst
deleted file mode 100644
index f2b9ccb4ea0..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.index
-======================
-
-.. currentmodule:: pandas
-
-.. autoattribute:: DataFrame.index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.infer_objects.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.infer_objects.rst
deleted file mode 100644
index f5334ce6241..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.infer_objects.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.infer\_objects
-===============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.infer_objects
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.info.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.info.rst
deleted file mode 100644
index ef02ad30511..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.info.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.info
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.info
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.insert.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.insert.rst
deleted file mode 100644
index e13c5a3082a..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.insert.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.insert
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.insert
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.interpolate.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.interpolate.rst
deleted file mode 100644
index 82a9026f7a5..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.interpolate.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.interpolate
-============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.interpolate
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.isin.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.isin.rst
deleted file mode 100644
index ecead879b6b..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.isin.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.isin
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.isin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.isna.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.isna.rst
deleted file mode 100644
index aaa1c1ba409..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.isna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.isna
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.isna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.isnull.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.isnull.rst
deleted file mode 100644
index ed218ac4e22..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.isnull.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.isnull
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.isnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.items.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.items.rst
deleted file mode 100644
index b9bfe33b49f..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.items.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.items
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.items
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.iteritems.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.iteritems.rst
deleted file mode 100644
index b1a5ac0e545..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.iteritems.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.iteritems
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.iteritems
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.iterrows.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.iterrows.rst
deleted file mode 100644
index 9d19d6b23b1..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.iterrows.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.iterrows
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.iterrows
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.itertuples.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.itertuples.rst
deleted file mode 100644
index 50d8e68f52d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.itertuples.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.itertuples
-===========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.itertuples
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.join.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.join.rst
deleted file mode 100644
index 88574103604..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.join.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.join
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.join
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.keys.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.keys.rst
deleted file mode 100644
index c601a2aa022..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.keys.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.keys
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.keys
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.kurt.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.kurt.rst
deleted file mode 100644
index b2d2e2bfb0f..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.kurt.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.kurt
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.kurt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.kurtosis.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.kurtosis.rst
deleted file mode 100644
index a518bc3bbaf..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.kurtosis.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.kurtosis
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.kurtosis
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.last.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.last.rst
deleted file mode 100644
index c80c1c244e1..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.last.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.last
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.last
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.last_valid_index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.last_valid_index.rst
deleted file mode 100644
index d0da1d0ae4b..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.last_valid_index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.last\_valid\_index
-===================================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.last_valid_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.le.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.le.rst
deleted file mode 100644
index 4e547b7177d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.le.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.le
-===================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.le
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.loc.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.loc.rst
deleted file mode 100644
index eea417e8b56..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.loc.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.loc
-====================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.loc
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.lookup.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.lookup.rst
deleted file mode 100644
index 53da973a34d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.lookup.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.lookup
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.lookup
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.lt.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.lt.rst
deleted file mode 100644
index 0c30b0baab2..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.lt.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.lt
-===================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.lt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mad.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mad.rst
deleted file mode 100644
index a3b565902cd..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.mad.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.mad
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.mad
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mask.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mask.rst
deleted file mode 100644
index 72b4a198d3d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.mask.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.mask
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.mask
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.max.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.max.rst
deleted file mode 100644
index ab5107fb32e..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.max.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.max
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.max
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mean.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mean.rst
deleted file mode 100644
index 77e6d62e561..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.mean.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.mean
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.mean
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.median.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.median.rst
deleted file mode 100644
index dd54dccc800..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.median.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.median
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.median
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.melt.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.melt.rst
deleted file mode 100644
index b077b2f7a41..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.melt.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.melt
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.melt
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.memory_usage.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.memory_usage.rst
deleted file mode 100644
index 12990f20a9e..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.memory_usage.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.memory\_usage
-==============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.memory_usage
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.merge.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.merge.rst
deleted file mode 100644
index 9fbf5eb23dc..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.merge.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.merge
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.merge
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.min.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.min.rst
deleted file mode 100644
index 62731caab58..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.min.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.min
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.min
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mod.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mod.rst
deleted file mode 100644
index b9039a225b2..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.mod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.mod
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.mod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mode.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mode.rst
deleted file mode 100644
index 55e17e0f16a..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.mode.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.mode
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.mode
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.mul.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.mul.rst
deleted file mode 100644
index 31851345095..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.mul.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.mul
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.mul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.ndim.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.ndim.rst
deleted file mode 100644
index adf6339d924..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.ndim.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.ndim
-=====================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.ndim
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.ne.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.ne.rst
deleted file mode 100644
index b557dfc2d3f..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.ne.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.ne
-===================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.ne
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.nlargest.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.nlargest.rst
deleted file mode 100644
index 4e9b95daada..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.nlargest.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.nlargest
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.nlargest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.notna.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.notna.rst
deleted file mode 100644
index 5941cd5255a..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.notna.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.notna
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.notna
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.notnull.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.notnull.rst
deleted file mode 100644
index 4408bbb8b7f..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.notnull.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.notnull
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.notnull
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.nsmallest.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.nsmallest.rst
deleted file mode 100644
index eb87234da0f..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.nsmallest.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.nsmallest
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.nsmallest
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.nunique.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.nunique.rst
deleted file mode 100644
index 750bff9fce8..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.nunique.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.nunique
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.nunique
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pad.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pad.rst
deleted file mode 100644
index c7c4d9567ef..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.pad.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.pad
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.pad
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pct_change.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pct_change.rst
deleted file mode 100644
index 06cc2da2528..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.pct_change.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.pct\_change
-============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.pct_change
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pipe.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pipe.rst
deleted file mode 100644
index 12616a61023..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.pipe.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.pipe
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.pipe
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot.rst
deleted file mode 100644
index 6c2e8026b50..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.pivot
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.pivot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot_table.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot_table.rst
deleted file mode 100644
index 53d57f5ae61..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.pivot_table.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.pivot\_table
-=============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.pivot_table
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.area.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.area.rst
deleted file mode 100644
index faef939bf62..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.area.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.area
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.area
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.bar.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.bar.rst
deleted file mode 100644
index 7b57b919113..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.bar.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.bar
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.bar
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.barh.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.barh.rst
deleted file mode 100644
index 71756bd592a..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.barh.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.barh
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.barh
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.box.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.box.rst
deleted file mode 100644
index 795fd22a58d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.box.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.box
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.box
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.density.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.density.rst
deleted file mode 100644
index 16cf2f91f15..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.density.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.density
-=============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.density
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hexbin.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hexbin.rst
deleted file mode 100644
index 230b2b2b20c..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hexbin.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.hexbin
-============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.hexbin
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hist.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hist.rst
deleted file mode 100644
index b7ff6dc00b3..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.hist.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.hist
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.hist
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.kde.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.kde.rst
deleted file mode 100644
index 73243f4ec15..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.kde.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.kde
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.kde
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.line.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.line.rst
deleted file mode 100644
index 3e715257702..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.line.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.line
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.line
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.pie.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.pie.rst
deleted file mode 100644
index 375d3bc5038..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.pie.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.pie
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.pie
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.rst
deleted file mode 100644
index b060aa155e2..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot
-=====================
-
-.. currentmodule:: pandas
-
-.. autoclass:: DataFrame.plot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.scatter.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.scatter.rst
deleted file mode 100644
index d2b659f882e..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.plot.scatter.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.plot.scatter
-=============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.plot.scatter
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pop.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pop.rst
deleted file mode 100644
index bd5df617265..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.pop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.pop
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.pop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.pow.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.pow.rst
deleted file mode 100644
index 18dc68c9bb7..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.pow.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.pow
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.pow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.prod.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.prod.rst
deleted file mode 100644
index 346340a68cd..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.prod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.prod
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.prod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.product.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.product.rst
deleted file mode 100644
index c48ccf21ae1..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.product.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.product
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.product
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.quantile.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.quantile.rst
deleted file mode 100644
index 8f7e988fe3b..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.quantile.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.quantile
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.quantile
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.query.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.query.rst
deleted file mode 100644
index f8a331db7a8..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.query.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.query
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.query
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.radd.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.radd.rst
deleted file mode 100644
index 1a85dd2e3ed..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.radd.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.radd
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.radd
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rank.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rank.rst
deleted file mode 100644
index a198a038f71..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rank.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rank
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rank
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rdiv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rdiv.rst
deleted file mode 100644
index 671ddb32aca..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rdiv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rdiv
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rdiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex.rst
deleted file mode 100644
index ae15567120f..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.reindex
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.reindex
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex_like.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex_like.rst
deleted file mode 100644
index d9d6bb53be5..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.reindex_like.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.reindex\_like
-==============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.reindex_like
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rename.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rename.rst
deleted file mode 100644
index 0a65a29716d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rename.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rename
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rename
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rename_axis.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rename_axis.rst
deleted file mode 100644
index 6b9233c81d0..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rename_axis.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rename\_axis
-=============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rename_axis
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.reorder_levels.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.reorder_levels.rst
deleted file mode 100644
index c155ad00fa7..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.reorder_levels.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.reorder\_levels
-================================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.reorder_levels
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.replace.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.replace.rst
deleted file mode 100644
index b12b5db8a7b..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.replace.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.replace
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.replace
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.resample.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.resample.rst
deleted file mode 100644
index f5b46207d40..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.resample.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.resample
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.resample
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.reset_index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.reset_index.rst
deleted file mode 100644
index 188ed794c31..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.reset_index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.reset\_index
-=============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.reset_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rfloordiv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rfloordiv.rst
deleted file mode 100644
index e222bbedde4..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rfloordiv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rfloordiv
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rfloordiv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rmod.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rmod.rst
deleted file mode 100644
index 6862ed7f2af..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rmod.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rmod
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rmod
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rmul.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rmul.rst
deleted file mode 100644
index 6082fe44a35..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rmul.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rmul
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rmul
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rolling.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rolling.rst
deleted file mode 100644
index 697e8ff7193..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rolling.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rolling
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rolling
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.round.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.round.rst
deleted file mode 100644
index 44a176d3566..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.round.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.round
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.round
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rpow.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rpow.rst
deleted file mode 100644
index c0ea60d674e..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rpow.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rpow
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rpow
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rst
deleted file mode 100644
index d1f409dc9cb..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rst
+++ /dev/null
@@ -1,236 +0,0 @@
-pandas.DataFrame
-================
-
-.. currentmodule:: pandas
-
-.. autoclass:: DataFrame
-
-   
-   .. automethod:: __init__
-
-   
-   .. rubric:: Methods
-
-   .. autosummary::
-   
-      ~DataFrame.__init__
-      ~DataFrame.abs
-      ~DataFrame.add
-      ~DataFrame.add_prefix
-      ~DataFrame.add_suffix
-      ~DataFrame.agg
-      ~DataFrame.aggregate
-      ~DataFrame.align
-      ~DataFrame.all
-      ~DataFrame.any
-      ~DataFrame.append
-      ~DataFrame.apply
-      ~DataFrame.applymap
-      ~DataFrame.asfreq
-      ~DataFrame.asof
-      ~DataFrame.assign
-      ~DataFrame.astype
-      ~DataFrame.at_time
-      ~DataFrame.backfill
-      ~DataFrame.between_time
-      ~DataFrame.bfill
-      ~DataFrame.bool
-      ~DataFrame.boxplot
-      ~DataFrame.clip
-      ~DataFrame.combine
-      ~DataFrame.combine_first
-      ~DataFrame.compare
-      ~DataFrame.convert_dtypes
-      ~DataFrame.copy
-      ~DataFrame.corr
-      ~DataFrame.corrwith
-      ~DataFrame.count
-      ~DataFrame.cov
-      ~DataFrame.cummax
-      ~DataFrame.cummin
-      ~DataFrame.cumprod
-      ~DataFrame.cumsum
-      ~DataFrame.describe
-      ~DataFrame.diff
-      ~DataFrame.div
-      ~DataFrame.divide
-      ~DataFrame.dot
-      ~DataFrame.drop
-      ~DataFrame.drop_duplicates
-      ~DataFrame.droplevel
-      ~DataFrame.dropna
-      ~DataFrame.duplicated
-      ~DataFrame.eq
-      ~DataFrame.equals
-      ~DataFrame.eval
-      ~DataFrame.ewm
-      ~DataFrame.expanding
-      ~DataFrame.explode
-      ~DataFrame.ffill
-      ~DataFrame.fillna
-      ~DataFrame.filter
-      ~DataFrame.first
-      ~DataFrame.first_valid_index
-      ~DataFrame.floordiv
-      ~DataFrame.from_dict
-      ~DataFrame.from_records
-      ~DataFrame.ge
-      ~DataFrame.get
-      ~DataFrame.groupby
-      ~DataFrame.gt
-      ~DataFrame.head
-      ~DataFrame.hist
-      ~DataFrame.idxmax
-      ~DataFrame.idxmin
-      ~DataFrame.infer_objects
-      ~DataFrame.info
-      ~DataFrame.insert
-      ~DataFrame.interpolate
-      ~DataFrame.isin
-      ~DataFrame.isna
-      ~DataFrame.isnull
-      ~DataFrame.items
-      ~DataFrame.iteritems
-      ~DataFrame.iterrows
-      ~DataFrame.itertuples
-      ~DataFrame.join
-      ~DataFrame.keys
-      ~DataFrame.kurt
-      ~DataFrame.kurtosis
-      ~DataFrame.last
-      ~DataFrame.last_valid_index
-      ~DataFrame.le
-      ~DataFrame.lookup
-      ~DataFrame.lt
-      ~DataFrame.mad
-      ~DataFrame.mask
-      ~DataFrame.max
-      ~DataFrame.mean
-      ~DataFrame.median
-      ~DataFrame.melt
-      ~DataFrame.memory_usage
-      ~DataFrame.merge
-      ~DataFrame.min
-      ~DataFrame.mod
-      ~DataFrame.mode
-      ~DataFrame.mul
-      ~DataFrame.multiply
-      ~DataFrame.ne
-      ~DataFrame.nlargest
-      ~DataFrame.notna
-      ~DataFrame.notnull
-      ~DataFrame.nsmallest
-      ~DataFrame.nunique
-      ~DataFrame.pad
-      ~DataFrame.pct_change
-      ~DataFrame.pipe
-      ~DataFrame.pivot
-      ~DataFrame.pivot_table
-      ~DataFrame.pop
-      ~DataFrame.pow
-      ~DataFrame.prod
-      ~DataFrame.product
-      ~DataFrame.quantile
-      ~DataFrame.query
-      ~DataFrame.radd
-      ~DataFrame.rank
-      ~DataFrame.rdiv
-      ~DataFrame.reindex
-      ~DataFrame.reindex_like
-      ~DataFrame.rename
-      ~DataFrame.rename_axis
-      ~DataFrame.reorder_levels
-      ~DataFrame.replace
-      ~DataFrame.resample
-      ~DataFrame.reset_index
-      ~DataFrame.rfloordiv
-      ~DataFrame.rmod
-      ~DataFrame.rmul
-      ~DataFrame.rolling
-      ~DataFrame.round
-      ~DataFrame.rpow
-      ~DataFrame.rsub
-      ~DataFrame.rtruediv
-      ~DataFrame.sample
-      ~DataFrame.select_dtypes
-      ~DataFrame.sem
-      ~DataFrame.set_axis
-      ~DataFrame.set_flags
-      ~DataFrame.set_index
-      ~DataFrame.shift
-      ~DataFrame.skew
-      ~DataFrame.slice_shift
-      ~DataFrame.sort_index
-      ~DataFrame.sort_values
-      ~DataFrame.squeeze
-      ~DataFrame.stack
-      ~DataFrame.std
-      ~DataFrame.sub
-      ~DataFrame.subtract
-      ~DataFrame.sum
-      ~DataFrame.swapaxes
-      ~DataFrame.swaplevel
-      ~DataFrame.tail
-      ~DataFrame.take
-      ~DataFrame.to_clipboard
-      ~DataFrame.to_csv
-      ~DataFrame.to_dict
-      ~DataFrame.to_excel
-      ~DataFrame.to_feather
-      ~DataFrame.to_gbq
-      ~DataFrame.to_hdf
-      ~DataFrame.to_html
-      ~DataFrame.to_json
-      ~DataFrame.to_latex
-      ~DataFrame.to_markdown
-      ~DataFrame.to_numpy
-      ~DataFrame.to_parquet
-      ~DataFrame.to_period
-      ~DataFrame.to_pickle
-      ~DataFrame.to_records
-      ~DataFrame.to_sql
-      ~DataFrame.to_stata
-      ~DataFrame.to_string
-      ~DataFrame.to_timestamp
-      ~DataFrame.to_xarray
-      ~DataFrame.transform
-      ~DataFrame.transpose
-      ~DataFrame.truediv
-      ~DataFrame.truncate
-      ~DataFrame.tshift
-      ~DataFrame.tz_convert
-      ~DataFrame.tz_localize
-      ~DataFrame.unstack
-      ~DataFrame.update
-      ~DataFrame.value_counts
-      ~DataFrame.var
-      ~DataFrame.where
-      ~DataFrame.xs
-   
-   
-
-   
-   
-   .. rubric:: Attributes
-
-   .. autosummary::
-   
-      ~DataFrame.T
-      ~DataFrame.at
-      ~DataFrame.attrs
-      ~DataFrame.axes
-      ~DataFrame.columns
-      ~DataFrame.dtypes
-      ~DataFrame.empty
-      ~DataFrame.flags
-      ~DataFrame.iat
-      ~DataFrame.iloc
-      ~DataFrame.index
-      ~DataFrame.loc
-      ~DataFrame.ndim
-      ~DataFrame.shape
-      ~DataFrame.size
-      ~DataFrame.style
-      ~DataFrame.values
-   
-   
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rsub.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rsub.rst
deleted file mode 100644
index 538784ad78a..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rsub.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rsub
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rsub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.rtruediv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.rtruediv.rst
deleted file mode 100644
index 7e6dc6bdedb..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.rtruediv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.rtruediv
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.rtruediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sample.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sample.rst
deleted file mode 100644
index 104b6ae398e..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.sample.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.sample
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.sample
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.select_dtypes.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.select_dtypes.rst
deleted file mode 100644
index 6ea142593eb..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.select_dtypes.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.select\_dtypes
-===============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.select_dtypes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sem.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sem.rst
deleted file mode 100644
index b6ec27afa65..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.sem.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.sem
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.sem
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.set_axis.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.set_axis.rst
deleted file mode 100644
index dabbcacdcaf..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.set_axis.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.set\_axis
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.set_axis
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.set_flags.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.set_flags.rst
deleted file mode 100644
index 2e90e358eed..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.set_flags.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.set\_flags
-===========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.set_flags
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.set_index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.set_index.rst
deleted file mode 100644
index 8dc12d1125b..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.set_index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.set\_index
-===========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.set_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.shape.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.shape.rst
deleted file mode 100644
index 22b2212eb5b..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.shape.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.shape
-======================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.shape
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.shift.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.shift.rst
deleted file mode 100644
index 1d1ca622569..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.shift.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.shift
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.shift
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.size.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.size.rst
deleted file mode 100644
index ee479c487b0..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.size.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.size
-=====================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.size
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.skew.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.skew.rst
deleted file mode 100644
index 4d287ba5ba8..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.skew.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.skew
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.skew
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.slice_shift.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.slice_shift.rst
deleted file mode 100644
index 30b2be55fd3..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.slice_shift.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.slice\_shift
-=============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.slice_shift
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_index.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_index.rst
deleted file mode 100644
index 1a59868330d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_index.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.sort\_index
-============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.sort_index
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_values.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_values.rst
deleted file mode 100644
index a95b0c64579..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.sort_values.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.sort\_values
-=============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.sort_values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.density.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.density.rst
deleted file mode 100644
index 7daa26c004f..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.density.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.sparse.density
-===============================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.sparse.density
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.from_spmatrix.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.from_spmatrix.rst
deleted file mode 100644
index b4412b02515..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.from_spmatrix.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.sparse.from\_spmatrix
-======================================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.sparse.from_spmatrix
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_coo.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_coo.rst
deleted file mode 100644
index 3cb20c11b67..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_coo.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.sparse.to\_coo
-===============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.sparse.to_coo
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_dense.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_dense.rst
deleted file mode 100644
index 01b838efee3..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.sparse.to_dense.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.sparse.to\_dense
-=================================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.sparse.to_dense
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.squeeze.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.squeeze.rst
deleted file mode 100644
index 97ec63aec21..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.squeeze.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.squeeze
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.squeeze
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.stack.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.stack.rst
deleted file mode 100644
index cea7889a321..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.stack.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.stack
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.stack
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.std.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.std.rst
deleted file mode 100644
index 0d9de90c84b..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.std.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.std
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.std
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.style.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.style.rst
deleted file mode 100644
index 4af3dc86463..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.style.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.style
-======================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.style
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sub.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sub.rst
deleted file mode 100644
index 4f32aeb329c..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.sub.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.sub
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.sub
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.sum.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.sum.rst
deleted file mode 100644
index f94fd634f42..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.sum.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.sum
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.sum
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.swapaxes.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.swapaxes.rst
deleted file mode 100644
index b471f3e345d..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.swapaxes.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.swapaxes
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.swapaxes
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.swaplevel.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.swaplevel.rst
deleted file mode 100644
index f0047b19093..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.swaplevel.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.swaplevel
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.swaplevel
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.tail.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.tail.rst
deleted file mode 100644
index eee1eed4bad..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.tail.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.tail
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.tail
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.take.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.take.rst
deleted file mode 100644
index b648ce8dfb8..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.take.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.take
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.take
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_clipboard.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_clipboard.rst
deleted file mode 100644
index 52339fccf95..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_clipboard.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_clipboard
-==============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_clipboard
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_csv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_csv.rst
deleted file mode 100644
index 69a5452fe2c..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_csv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_csv
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_csv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_dict.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_dict.rst
deleted file mode 100644
index 63aeda88e0c..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_dict.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_dict
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_dict
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_excel.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_excel.rst
deleted file mode 100644
index 1cc49c2bfba..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_excel.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_excel
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_excel
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_feather.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_feather.rst
deleted file mode 100644
index 808e0546e49..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_feather.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_feather
-============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_feather
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_gbq.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_gbq.rst
deleted file mode 100644
index 5f4a84fe48c..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_gbq.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_gbq
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_gbq
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_hdf.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_hdf.rst
deleted file mode 100644
index 87b471c175e..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_hdf.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_hdf
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_hdf
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_html.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_html.rst
deleted file mode 100644
index 361ea3cceac..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_html.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_html
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_html
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_json.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_json.rst
deleted file mode 100644
index 08914be4613..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_json.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_json
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_json
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_latex.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_latex.rst
deleted file mode 100644
index 119cd0891fa..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_latex.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_latex
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_latex
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_markdown.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_markdown.rst
deleted file mode 100644
index a991c9278ed..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_markdown.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_markdown
-=============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_markdown
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_parquet.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_parquet.rst
deleted file mode 100644
index 2a48e018775..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_parquet.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_parquet
-============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_parquet
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_period.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_period.rst
deleted file mode 100644
index f2607f0751f..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_period.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_period
-===========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_period
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_pickle.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_pickle.rst
deleted file mode 100644
index 58bcbdfec1b..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_pickle.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_pickle
-===========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_pickle
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_records.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_records.rst
deleted file mode 100644
index 7219f0840cb..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_records.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_records
-============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_records
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_sql.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_sql.rst
deleted file mode 100644
index 2d5f6ec7422..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_sql.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_sql
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_sql
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_stata.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_stata.rst
deleted file mode 100644
index 5129b57990b..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_stata.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_stata
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_stata
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_string.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_string.rst
deleted file mode 100644
index 04cc550ebde..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_string.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_string
-===========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_string
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_timestamp.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_timestamp.rst
deleted file mode 100644
index a778cd29fe8..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_timestamp.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_timestamp
-==============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_timestamp
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_xarray.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.to_xarray.rst
deleted file mode 100644
index fb3796e7031..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.to_xarray.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.to\_xarray
-===========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.to_xarray
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.transform.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.transform.rst
deleted file mode 100644
index 05970513c14..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.transform.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.transform
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.transform
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.transpose.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.transpose.rst
deleted file mode 100644
index 6a04dd4d1b4..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.transpose.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.transpose
-==========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.transpose
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.truediv.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.truediv.rst
deleted file mode 100644
index 14b855fee38..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.truediv.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.truediv
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.truediv
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.truncate.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.truncate.rst
deleted file mode 100644
index 9de5770da97..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.truncate.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.truncate
-=========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.truncate
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.tshift.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.tshift.rst
deleted file mode 100644
index 896ed9edbd4..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.tshift.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.tshift
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.tshift
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_convert.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_convert.rst
deleted file mode 100644
index 0251fb97110..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_convert.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.tz\_convert
-============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.tz_convert
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_localize.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_localize.rst
deleted file mode 100644
index 3d354311388..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.tz_localize.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.tz\_localize
-=============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.tz_localize
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.unstack.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.unstack.rst
deleted file mode 100644
index bffe7398b91..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.unstack.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.unstack
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.unstack
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.update.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.update.rst
deleted file mode 100644
index 08c7963cd81..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.update.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.update
-=======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.update
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.value_counts.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.value_counts.rst
deleted file mode 100644
index 79f2f43a032..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.value_counts.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.value\_counts
-==============================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.value_counts
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.values.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.values.rst
deleted file mode 100644
index d7e2e4f54d6..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.values.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.values
-=======================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: DataFrame.values
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.var.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.var.rst
deleted file mode 100644
index 0b8e97e1c03..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.var.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.var
-====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.var
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.where.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.where.rst
deleted file mode 100644
index 4135b4bb2fa..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.where.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.where
-======================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.where
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.DataFrame.xs.rst b/docs/cudf/source/api_docs/api/pandas.DataFrame.xs.rst
deleted file mode 100644
index 78007c290d8..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.DataFrame.xs.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.xs
-===================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.xs
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/api/pandas.Flags.rst b/docs/cudf/source/api_docs/api/pandas.Flags.rst
deleted file mode 100644
index a7d844cb73e..00000000000
--- a/docs/cudf/source/api_docs/api/pandas.Flags.rst
+++ /dev/null
@@ -1,28 +0,0 @@
-pandas.Flags
-============
-
-.. currentmodule:: pandas
-
-.. autoclass:: Flags
-
-   
-   .. automethod:: __init__
-
-   
-   .. rubric:: Methods
-
-   .. autosummary::
-   
-      ~Flags.__init__
-   
-   
-
-   
-   
-   .. rubric:: Attributes
-
-   .. autosummary::
-   
-      ~Flags.allows_duplicate_labels
-   
-   
\ No newline at end of file

From f8139541ddc25d495e874abc59d6d4a60a1f36ce Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Wed, 14 Jul 2021 16:50:15 -0700
Subject: [PATCH 08/49] remove markdown

---
 docs/cudf/source/api_docs/generated/pandas.Series.array.rst | 6 ------
 docs/cudf/source/conf.py                                    | 3 +--
 docs/cudf/source/pandas.DataFrame.drop.rst                  | 6 ------
 docs/cudf/source/pandas.DataFrame.groupby.rst               | 6 ------
 4 files changed, 1 insertion(+), 20 deletions(-)
 delete mode 100644 docs/cudf/source/api_docs/generated/pandas.Series.array.rst
 delete mode 100644 docs/cudf/source/pandas.DataFrame.drop.rst
 delete mode 100644 docs/cudf/source/pandas.DataFrame.groupby.rst

diff --git a/docs/cudf/source/api_docs/generated/pandas.Series.array.rst b/docs/cudf/source/api_docs/generated/pandas.Series.array.rst
deleted file mode 100644
index e0954c01d1a..00000000000
--- a/docs/cudf/source/api_docs/generated/pandas.Series.array.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.Series.array
-===================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: Series.array
\ No newline at end of file
diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index efc500bc89e..724b5c32a78 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -42,7 +42,6 @@
     "sphinx.ext.autosummary",
     "sphinx_copybutton",
     "numpydoc",
-    "sphinx_markdown_tables",
     "IPython.sphinxext.ipython_console_highlighting",
     "IPython.sphinxext.ipython_directive",
     "nbsphinx",
@@ -60,7 +59,7 @@
 # You can specify multiple suffix as a list of string:
 #
 # source_suffix = ['.rst', '.md']
-source_suffix = {".rst": "restructuredtext", ".md": "markdown"}
+source_suffix = {".rst": "restructuredtext"}
 
 # The master toctree document.
 master_doc = "index"
diff --git a/docs/cudf/source/pandas.DataFrame.drop.rst b/docs/cudf/source/pandas.DataFrame.drop.rst
deleted file mode 100644
index 9ee305369db..00000000000
--- a/docs/cudf/source/pandas.DataFrame.drop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.drop
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/pandas.DataFrame.groupby.rst b/docs/cudf/source/pandas.DataFrame.groupby.rst
deleted file mode 100644
index f8872657308..00000000000
--- a/docs/cudf/source/pandas.DataFrame.groupby.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.groupby
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.groupby
\ No newline at end of file

From 871782080af7b1f9e7a36efdd8b382d44cbd9d54 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Wed, 14 Jul 2021 18:54:29 -0700
Subject: [PATCH 09/49] add more pages

---
 .../source/api_docs/general_functions.rst     | 10 ++++
 .../source/api_docs/general_utilities.rst     |  8 ++++
 docs/cudf/source/api_docs/groupby.rst         | 48 +------------------
 docs/cudf/source/api_docs/index.rst           |  2 +
 4 files changed, 22 insertions(+), 46 deletions(-)
 create mode 100644 docs/cudf/source/api_docs/general_functions.rst
 create mode 100644 docs/cudf/source/api_docs/general_utilities.rst

diff --git a/docs/cudf/source/api_docs/general_functions.rst b/docs/cudf/source/api_docs/general_functions.rst
new file mode 100644
index 00000000000..2cbc1e93df5
--- /dev/null
+++ b/docs/cudf/source/api_docs/general_functions.rst
@@ -0,0 +1,10 @@
+=================
+General Functions
+=================
+
+.. automodule:: cudf.core.reshape
+    :members:
+
+.. autofunction:: cudf.to_datetime
+
+.. autofunction:: cudf.to_numeric
diff --git a/docs/cudf/source/api_docs/general_utilities.rst b/docs/cudf/source/api_docs/general_utilities.rst
new file mode 100644
index 00000000000..6f50c70498b
--- /dev/null
+++ b/docs/cudf/source/api_docs/general_utilities.rst
@@ -0,0 +1,8 @@
+=================
+General Utilities
+=================
+
+.. currentmodule:: cudf.testing
+
+.. automodule:: cudf.testing.testing
+    :members:
diff --git a/docs/cudf/source/api_docs/groupby.rst b/docs/cudf/source/api_docs/groupby.rst
index 8f383b23d67..3dcd7a9f014 100644
--- a/docs/cudf/source/api_docs/groupby.rst
+++ b/docs/cudf/source/api_docs/groupby.rst
@@ -14,7 +14,6 @@ Indexing, iteration
 
    GroupBy.__iter__
    GroupBy.groups
-   GroupBy.get_group
 
 .. currentmodule:: cudf
 
@@ -23,7 +22,7 @@ Indexing, iteration
 
    Grouper
 
-.. currentmodule:: cudf.core.groupby
+.. currentmodule:: cudf.core.groupby.groupby
 
 Function application
 --------------------
@@ -34,8 +33,6 @@ Function application
    GroupBy.agg
    SeriesGroupBy.aggregate
    DataFrameGroupBy.aggregate
-   SeriesGroupBy.transform
-   DataFrameGroupBy.transform
    GroupBy.pipe
 
 Computations / descriptive stats
@@ -43,38 +40,26 @@ Computations / descriptive stats
 .. autosummary::
    :toctree: api/
 
-   GroupBy.all
-   GroupBy.any
    GroupBy.bfill
    GroupBy.backfill
    GroupBy.count
    GroupBy.cumcount
    GroupBy.cummax
    GroupBy.cummin
-   GroupBy.cumprod
    GroupBy.cumsum
    GroupBy.ffill
-   GroupBy.first
-   GroupBy.head
-   GroupBy.last
    GroupBy.max
    GroupBy.mean
    GroupBy.median
    GroupBy.min
-   GroupBy.ngroup
    GroupBy.nth
-   GroupBy.ohlc
    GroupBy.pad
    GroupBy.prod
-   GroupBy.rank
-   GroupBy.pct_change
    GroupBy.size
-   GroupBy.sem
    GroupBy.std
    GroupBy.sum
    GroupBy.var
-   GroupBy.tail
-
+   
 The following methods are available in both ``SeriesGroupBy`` and
 ``DataFrameGroupBy`` objects, but may differ slightly, usually in that
 the ``DataFrameGroupBy`` version usually permits the specification of an
@@ -84,59 +69,30 @@ application to columns of a specific data type.
 .. autosummary::
    :toctree: api/
 
-   DataFrameGroupBy.all
-   DataFrameGroupBy.any
    DataFrameGroupBy.backfill
    DataFrameGroupBy.bfill
-   DataFrameGroupBy.corr
    DataFrameGroupBy.count
-   DataFrameGroupBy.cov
    DataFrameGroupBy.cumcount
    DataFrameGroupBy.cummax
    DataFrameGroupBy.cummin
-   DataFrameGroupBy.cumprod
    DataFrameGroupBy.cumsum
    DataFrameGroupBy.describe
-   DataFrameGroupBy.diff
    DataFrameGroupBy.ffill
    DataFrameGroupBy.fillna
    DataFrameGroupBy.filter
    DataFrameGroupBy.hist
    DataFrameGroupBy.idxmax
    DataFrameGroupBy.idxmin
-   DataFrameGroupBy.mad
    DataFrameGroupBy.nunique
    DataFrameGroupBy.pad
-   DataFrameGroupBy.pct_change
-   DataFrameGroupBy.plot
    DataFrameGroupBy.quantile
-   DataFrameGroupBy.rank
-   DataFrameGroupBy.resample
-   DataFrameGroupBy.sample
    DataFrameGroupBy.shift
    DataFrameGroupBy.size
-   DataFrameGroupBy.skew
-   DataFrameGroupBy.take
-   DataFrameGroupBy.tshift
 
 The following methods are available only for ``SeriesGroupBy`` objects.
 
 .. autosummary::
    :toctree: api/
 
-   SeriesGroupBy.hist
-   SeriesGroupBy.nlargest
-   SeriesGroupBy.nsmallest
    SeriesGroupBy.nunique
    SeriesGroupBy.unique
-   SeriesGroupBy.value_counts
-   SeriesGroupBy.is_monotonic_increasing
-   SeriesGroupBy.is_monotonic_decreasing
-
-The following methods are available only for ``DataFrameGroupBy`` objects.
-
-.. autosummary::
-   :toctree: api/
-
-   DataFrameGroupBy.corrwith
-   DataFrameGroupBy.boxplot
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/index.rst b/docs/cudf/source/api_docs/index.rst
index fedec8e9124..41aa6288887 100644
--- a/docs/cudf/source/api_docs/index.rst
+++ b/docs/cudf/source/api_docs/index.rst
@@ -14,4 +14,6 @@ the left sidebar to see how various elements look on this theme.
     dataframe
     index_objects
     groupby
+    general_functions
+    general_utilities
 

From ff5ef1d8e36cc2b1d889d6070449d32eb54c553c Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 11:02:16 -0700
Subject: [PATCH 10/49] remove strike through copy button

---
 docs/cudf/source/_static/copybutton_pydocs.js | 65 -------------------
 docs/cudf/source/_static/params.css           |  8 ---
 docs/cudf/source/conf.py                      |  1 -
 3 files changed, 74 deletions(-)
 delete mode 100644 docs/cudf/source/_static/copybutton_pydocs.js

diff --git a/docs/cudf/source/_static/copybutton_pydocs.js b/docs/cudf/source/_static/copybutton_pydocs.js
deleted file mode 100644
index cec05777e6b..00000000000
--- a/docs/cudf/source/_static/copybutton_pydocs.js
+++ /dev/null
@@ -1,65 +0,0 @@
-$(document).ready(function() {
-    /* Add a [>>>] button on the top-right corner of code samples to hide
-     * the >>> and ... prompts and the output and thus make the code
-     * copyable. */
-    var div = $('.highlight-python .highlight,' +
-                '.highlight-python3 .highlight,' +
-                '.highlight-pycon .highlight,' +
-                '.highlight-default .highlight');
-    var pre = div.find('pre');
-
-    // get the styles from the current theme
-    pre.parent().parent().css('position', 'relative');
-    var hide_text = 'Hide the prompts and output';
-    var show_text = 'Show the prompts and output';
-    var border_width = pre.css('border-top-width');
-    var border_style = pre.css('border-top-style');
-    var border_color = pre.css('border-top-color');
-    var button_styles = {
-        'cursor':'pointer', 'position': 'absolute', 'top': '0', 'right': '0',
-        'border-color': border_color, 'border-style': border_style,
-        'border-width': border_width, 'text-size': '75%',
-        'font-family': 'monospace', 'padding-left': '0.2em', 'padding-right': '1.5em',
-        'border-radius': '0 3px 0 0',
-        'transition': "0.5s"
-    }
-
-    // create and add the button to all the code blocks that contain >>>
-    div.each(function(index) {
-        var jthis = $(this);
-        if (jthis.find('.gp').length > 0) {
-            var button = $('<span id="strike_button" class="copybutton">&gt;&gt;&gt;</span>');
-            button.css(button_styles)
-            button.attr('title', hide_text);
-            button.data('hidden', 'false');
-            jthis.prepend(button);
-        }
-        // tracebacks (.gt) contain bare text elements that need to be
-        // wrapped in a span to work with .nextUntil() (see later)
-        jthis.find('pre:has(.gt)').contents().filter(function() {
-            return ((this.nodeType == 3) && (this.data.trim().length > 0));
-        }).wrap('<span>');
-    });
-
-    // define the behavior of the button when it's clicked
-    $('.copybutton').click(function(e){
-        e.preventDefault();
-        var button = $(this);
-        if (button.data('hidden') === 'false') {
-            // hide the code output
-            button.parent().find('.go, .gp, .gt').hide();
-            button.next('pre').find('.gt').nextUntil('.gp, .go').css('visibility', 'hidden');
-            button.css('text-decoration', 'line-through');
-            button.attr('title', show_text);
-            button.data('hidden', 'true');
-        } else {
-            // show the code output
-            button.parent().find('.go, .gp, .gt').show();
-            button.next('pre').find('.gt').nextUntil('.gp, .go').css('visibility', 'visible');
-            button.css('text-decoration', 'none');
-            button.attr('title', hide_text);
-            button.data('hidden', 'false');
-        }
-    });
-});
-
diff --git a/docs/cudf/source/_static/params.css b/docs/cudf/source/_static/params.css
index 50a0e8bea3b..fd41184618b 100644
--- a/docs/cudf/source/_static/params.css
+++ b/docs/cudf/source/_static/params.css
@@ -8,14 +8,6 @@
     content: ":";
 }
 
-.highlight:hover span#strike_button {
-    color:#767676;
-}
-
-span#strike_button {
-    color :#d0ced7;
-}
-
 /* Fix for text wrap in sphinx tables:
  * https://rackerlabs.github.io/docs-rackspace/tools/rtd-tables.html 
  */
diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index 724b5c32a78..43ba83d8c46 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -242,7 +242,6 @@ def ignore_internal_references(app, env, node, contnode):
 
 
 def setup(app):
-    app.add_js_file("copybutton_pydocs.js")
     app.add_css_file("params.css")
     app.add_css_file("https://docs.rapids.ai/assets/css/custom.css")
     app.connect("doctree-read", resolve_aliases)

From ae7d8f0cdc8c1af49c9a282166fb2d9476dd74d6 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 11:08:46 -0700
Subject: [PATCH 11/49] cleanup

---
 docs/cudf/source/api_docs/cudf.DataFrame.drop.rst      | 6 ------
 docs/cudf/source/api_docs/cudf.DataFrame.where.rst     | 6 ------
 docs/cudf/source/api_docs/pandas.DataFrame.drop.rst    | 6 ------
 docs/cudf/source/api_docs/pandas.DataFrame.groupby.rst | 6 ------
 docs/cudf/source/cudf.DataFrame.drop.rst               | 6 ------
 docs/cudf/source/cudf.DataFrame.where.rst              | 6 ------
 docs/cudf/source/index.rst                             | 2 ++
 7 files changed, 2 insertions(+), 36 deletions(-)
 delete mode 100644 docs/cudf/source/api_docs/cudf.DataFrame.drop.rst
 delete mode 100644 docs/cudf/source/api_docs/cudf.DataFrame.where.rst
 delete mode 100644 docs/cudf/source/api_docs/pandas.DataFrame.drop.rst
 delete mode 100644 docs/cudf/source/api_docs/pandas.DataFrame.groupby.rst
 delete mode 100644 docs/cudf/source/cudf.DataFrame.drop.rst
 delete mode 100644 docs/cudf/source/cudf.DataFrame.where.rst

diff --git a/docs/cudf/source/api_docs/cudf.DataFrame.drop.rst b/docs/cudf/source/api_docs/cudf.DataFrame.drop.rst
deleted file mode 100644
index 6d46566674d..00000000000
--- a/docs/cudf/source/api_docs/cudf.DataFrame.drop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.drop
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/cudf.DataFrame.where.rst b/docs/cudf/source/api_docs/cudf.DataFrame.where.rst
deleted file mode 100644
index c2035bf11b0..00000000000
--- a/docs/cudf/source/api_docs/cudf.DataFrame.where.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.where
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.where
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/pandas.DataFrame.drop.rst b/docs/cudf/source/api_docs/pandas.DataFrame.drop.rst
deleted file mode 100644
index 9ee305369db..00000000000
--- a/docs/cudf/source/api_docs/pandas.DataFrame.drop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.drop
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/pandas.DataFrame.groupby.rst b/docs/cudf/source/api_docs/pandas.DataFrame.groupby.rst
deleted file mode 100644
index f8872657308..00000000000
--- a/docs/cudf/source/api_docs/pandas.DataFrame.groupby.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.groupby
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/cudf.DataFrame.drop.rst b/docs/cudf/source/cudf.DataFrame.drop.rst
deleted file mode 100644
index 6d46566674d..00000000000
--- a/docs/cudf/source/cudf.DataFrame.drop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.drop
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/cudf.DataFrame.where.rst b/docs/cudf/source/cudf.DataFrame.where.rst
deleted file mode 100644
index c2035bf11b0..00000000000
--- a/docs/cudf/source/cudf.DataFrame.where.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.where
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.where
\ No newline at end of file
diff --git a/docs/cudf/source/index.rst b/docs/cudf/source/index.rst
index 950694f69a7..1201e9e7ed3 100644
--- a/docs/cudf/source/index.rst
+++ b/docs/cudf/source/index.rst
@@ -10,6 +10,8 @@ Welcome to cuDF's documentation!
    user_guide/index
    basics/index
    api_docs/index
+   dask-cudf.rst
+   internals.rst
 
 
 Indices and tables

From 258d9bbc4be7902b20399d72c43c37f0d429d236 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 11:11:04 -0700
Subject: [PATCH 12/49] remove files

---
 .../api/cudf.core.dataframe.DataFrame.rst     | 261 ------------------
 .../api/cudf.core.dataframe.extract_col.rst   |   6 -
 .../api/cudf.core.dataframe.from_pandas.rst   |   6 -
 .../source/api/cudf.core.dataframe.merge.rst  |   6 -
 4 files changed, 279 deletions(-)
 delete mode 100644 docs/cudf/source/api/cudf.core.dataframe.DataFrame.rst
 delete mode 100644 docs/cudf/source/api/cudf.core.dataframe.extract_col.rst
 delete mode 100644 docs/cudf/source/api/cudf.core.dataframe.from_pandas.rst
 delete mode 100644 docs/cudf/source/api/cudf.core.dataframe.merge.rst

diff --git a/docs/cudf/source/api/cudf.core.dataframe.DataFrame.rst b/docs/cudf/source/api/cudf.core.dataframe.DataFrame.rst
deleted file mode 100644
index 15108d48ca1..00000000000
--- a/docs/cudf/source/api/cudf.core.dataframe.DataFrame.rst
+++ /dev/null
@@ -1,261 +0,0 @@
-DataFrame
-=========
-
-.. currentmodule:: cudf.core.dataframe
-
-.. autoclass:: DataFrame
-   :show-inheritance:
-
-   .. rubric:: Attributes Summary
-
-   .. autosummary::
-
-      ~DataFrame.T
-      ~DataFrame.at
-      ~DataFrame.columns
-      ~DataFrame.dtypes
-      ~DataFrame.iat
-      ~DataFrame.iloc
-      ~DataFrame.index
-      ~DataFrame.loc
-      ~DataFrame.ndim
-      ~DataFrame.shape
-      ~DataFrame.values
-
-   .. rubric:: Methods Summary
-
-   .. autosummary::
-
-      ~DataFrame.add
-      ~DataFrame.agg
-      ~DataFrame.all
-      ~DataFrame.any
-      ~DataFrame.append
-      ~DataFrame.apply_chunks
-      ~DataFrame.apply_rows
-      ~DataFrame.argsort
-      ~DataFrame.as_gpu_matrix
-      ~DataFrame.as_matrix
-      ~DataFrame.assign
-      ~DataFrame.astype
-      ~DataFrame.corr
-      ~DataFrame.count
-      ~DataFrame.cov
-      ~DataFrame.cummax
-      ~DataFrame.cummin
-      ~DataFrame.cumprod
-      ~DataFrame.cumsum
-      ~DataFrame.describe
-      ~DataFrame.deserialize
-      ~DataFrame.div
-      ~DataFrame.drop
-      ~DataFrame.drop_duplicates
-      ~DataFrame.equals
-      ~DataFrame.explode
-      ~DataFrame.floordiv
-      ~DataFrame.from_arrow
-      ~DataFrame.from_pandas
-      ~DataFrame.from_records
-      ~DataFrame.groupby
-      ~DataFrame.hash_columns
-      ~DataFrame.head
-      ~DataFrame.info
-      ~DataFrame.insert
-      ~DataFrame.isin
-      ~DataFrame.iteritems
-      ~DataFrame.iterrows
-      ~DataFrame.itertuples
-      ~DataFrame.join
-      ~DataFrame.keys
-      ~DataFrame.kurt
-      ~DataFrame.kurtosis
-      ~DataFrame.label_encoding
-      ~DataFrame.max
-      ~DataFrame.mean
-      ~DataFrame.melt
-      ~DataFrame.memory_usage
-      ~DataFrame.merge
-      ~DataFrame.min
-      ~DataFrame.mod
-      ~DataFrame.mode
-      ~DataFrame.mul
-      ~DataFrame.nans_to_nulls
-      ~DataFrame.nlargest
-      ~DataFrame.nsmallest
-      ~DataFrame.one_hot_encoding
-      ~DataFrame.partition_by_hash
-      ~DataFrame.pivot
-      ~DataFrame.pop
-      ~DataFrame.pow
-      ~DataFrame.prod
-      ~DataFrame.product
-      ~DataFrame.quantile
-      ~DataFrame.quantiles
-      ~DataFrame.query
-      ~DataFrame.radd
-      ~DataFrame.rdiv
-      ~DataFrame.reindex
-      ~DataFrame.rename
-      ~DataFrame.replace
-      ~DataFrame.reset_index
-      ~DataFrame.rfloordiv
-      ~DataFrame.rmod
-      ~DataFrame.rmul
-      ~DataFrame.rolling
-      ~DataFrame.rpow
-      ~DataFrame.rsub
-      ~DataFrame.rtruediv
-      ~DataFrame.select_dtypes
-      ~DataFrame.serialize
-      ~DataFrame.set_index
-      ~DataFrame.skew
-      ~DataFrame.sort_index
-      ~DataFrame.sort_values
-      ~DataFrame.stack
-      ~DataFrame.std
-      ~DataFrame.sub
-      ~DataFrame.sum
-      ~DataFrame.tail
-      ~DataFrame.take
-      ~DataFrame.to_arrow
-      ~DataFrame.to_csv
-      ~DataFrame.to_dict
-      ~DataFrame.to_dlpack
-      ~DataFrame.to_feather
-      ~DataFrame.to_hdf
-      ~DataFrame.to_json
-      ~DataFrame.to_orc
-      ~DataFrame.to_pandas
-      ~DataFrame.to_parquet
-      ~DataFrame.to_records
-      ~DataFrame.to_string
-      ~DataFrame.transpose
-      ~DataFrame.truediv
-      ~DataFrame.unstack
-      ~DataFrame.update
-      ~DataFrame.var
-
-   .. rubric:: Attributes Documentation
-
-   .. autoattribute:: T
-   .. autoattribute:: at
-   .. autoattribute:: columns
-   .. autoattribute:: dtypes
-   .. autoattribute:: iat
-   .. autoattribute:: iloc
-   .. autoattribute:: index
-   .. autoattribute:: loc
-   .. autoattribute:: ndim
-   .. autoattribute:: shape
-   .. autoattribute:: values
-
-   .. rubric:: Methods Documentation
-
-   .. automethod:: add
-   .. automethod:: agg
-   .. automethod:: all
-   .. automethod:: any
-   .. automethod:: append
-   .. automethod:: apply_chunks
-   .. automethod:: apply_rows
-   .. automethod:: argsort
-   .. automethod:: as_gpu_matrix
-   .. automethod:: as_matrix
-   .. automethod:: assign
-   .. automethod:: astype
-   .. automethod:: corr
-   .. automethod:: count
-   .. automethod:: cov
-   .. automethod:: cummax
-   .. automethod:: cummin
-   .. automethod:: cumprod
-   .. automethod:: cumsum
-   .. automethod:: describe
-   .. automethod:: deserialize
-   .. automethod:: div
-   .. automethod:: drop
-   .. automethod:: drop_duplicates
-   .. automethod:: equals
-   .. automethod:: explode
-   .. automethod:: floordiv
-   .. automethod:: from_arrow
-   .. automethod:: from_pandas
-   .. automethod:: from_records
-   .. automethod:: groupby
-   .. automethod:: hash_columns
-   .. automethod:: head
-   .. automethod:: info
-   .. automethod:: insert
-   .. automethod:: isin
-   .. automethod:: iteritems
-   .. automethod:: iterrows
-   .. automethod:: itertuples
-   .. automethod:: join
-   .. automethod:: keys
-   .. automethod:: kurt
-   .. automethod:: kurtosis
-   .. automethod:: label_encoding
-   .. automethod:: max
-   .. automethod:: mean
-   .. automethod:: melt
-   .. automethod:: memory_usage
-   .. automethod:: merge
-   .. automethod:: min
-   .. automethod:: mod
-   .. automethod:: mode
-   .. automethod:: mul
-   .. automethod:: nans_to_nulls
-   .. automethod:: nlargest
-   .. automethod:: nsmallest
-   .. automethod:: one_hot_encoding
-   .. automethod:: partition_by_hash
-   .. automethod:: pivot
-   .. automethod:: pop
-   .. automethod:: pow
-   .. automethod:: prod
-   .. automethod:: product
-   .. automethod:: quantile
-   .. automethod:: quantiles
-   .. automethod:: query
-   .. automethod:: radd
-   .. automethod:: rdiv
-   .. automethod:: reindex
-   .. automethod:: rename
-   .. automethod:: replace
-   .. automethod:: reset_index
-   .. automethod:: rfloordiv
-   .. automethod:: rmod
-   .. automethod:: rmul
-   .. automethod:: rolling
-   .. automethod:: rpow
-   .. automethod:: rsub
-   .. automethod:: rtruediv
-   .. automethod:: select_dtypes
-   .. automethod:: serialize
-   .. automethod:: set_index
-   .. automethod:: skew
-   .. automethod:: sort_index
-   .. automethod:: sort_values
-   .. automethod:: stack
-   .. automethod:: std
-   .. automethod:: sub
-   .. automethod:: sum
-   .. automethod:: tail
-   .. automethod:: take
-   .. automethod:: to_arrow
-   .. automethod:: to_csv
-   .. automethod:: to_dict
-   .. automethod:: to_dlpack
-   .. automethod:: to_feather
-   .. automethod:: to_hdf
-   .. automethod:: to_json
-   .. automethod:: to_orc
-   .. automethod:: to_pandas
-   .. automethod:: to_parquet
-   .. automethod:: to_records
-   .. automethod:: to_string
-   .. automethod:: transpose
-   .. automethod:: truediv
-   .. automethod:: unstack
-   .. automethod:: update
-   .. automethod:: var
diff --git a/docs/cudf/source/api/cudf.core.dataframe.extract_col.rst b/docs/cudf/source/api/cudf.core.dataframe.extract_col.rst
deleted file mode 100644
index 345172b7445..00000000000
--- a/docs/cudf/source/api/cudf.core.dataframe.extract_col.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-extract_col
-===========
-
-.. currentmodule:: cudf.core.dataframe
-
-.. autofunction:: extract_col
diff --git a/docs/cudf/source/api/cudf.core.dataframe.from_pandas.rst b/docs/cudf/source/api/cudf.core.dataframe.from_pandas.rst
deleted file mode 100644
index 620427315d0..00000000000
--- a/docs/cudf/source/api/cudf.core.dataframe.from_pandas.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-from_pandas
-===========
-
-.. currentmodule:: cudf.core.dataframe
-
-.. autofunction:: from_pandas
diff --git a/docs/cudf/source/api/cudf.core.dataframe.merge.rst b/docs/cudf/source/api/cudf.core.dataframe.merge.rst
deleted file mode 100644
index 8b4ad51b3e8..00000000000
--- a/docs/cudf/source/api/cudf.core.dataframe.merge.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-merge
-=====
-
-.. currentmodule:: cudf.core.dataframe
-
-.. autofunction:: merge

From 53af52f383e8961cc5f8309997931e92c4e4306d Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 11:11:43 -0700
Subject: [PATCH 13/49] cleanup

---
 docs/cudf/source/_static/params.css | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/docs/cudf/source/_static/params.css b/docs/cudf/source/_static/params.css
index fd41184618b..4dc2d54ddb2 100644
--- a/docs/cudf/source/_static/params.css
+++ b/docs/cudf/source/_static/params.css
@@ -48,6 +48,4 @@ table.io-supported-types-table thead{
   --pst-color-toc-link-hover: var(--pst-color-active-navigation);
   --pst-color-toc-link-active: var(--pst-color-active-navigation);
 
-
-
-}
\ No newline at end of file
+}

From 002e9d4fe6a9e1c501c649b14a058d9e8a51cfb9 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 11:14:30 -0700
Subject: [PATCH 14/49] cleanup

---
 docs/cudf/source/generated/cudf.DataFrame.drop.rst      | 6 ------
 docs/cudf/source/generated/cudf.DataFrame.where.rst     | 6 ------
 docs/cudf/source/generated/pandas.DataFrame.drop.rst    | 6 ------
 docs/cudf/source/generated/pandas.DataFrame.groupby.rst | 6 ------
 docs/cudf/source/generated/pandas.Series.array.rst      | 6 ------
 5 files changed, 30 deletions(-)
 delete mode 100644 docs/cudf/source/generated/cudf.DataFrame.drop.rst
 delete mode 100644 docs/cudf/source/generated/cudf.DataFrame.where.rst
 delete mode 100644 docs/cudf/source/generated/pandas.DataFrame.drop.rst
 delete mode 100644 docs/cudf/source/generated/pandas.DataFrame.groupby.rst
 delete mode 100644 docs/cudf/source/generated/pandas.Series.array.rst

diff --git a/docs/cudf/source/generated/cudf.DataFrame.drop.rst b/docs/cudf/source/generated/cudf.DataFrame.drop.rst
deleted file mode 100644
index 6d46566674d..00000000000
--- a/docs/cudf/source/generated/cudf.DataFrame.drop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.drop
-===================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/generated/cudf.DataFrame.where.rst b/docs/cudf/source/generated/cudf.DataFrame.where.rst
deleted file mode 100644
index c2035bf11b0..00000000000
--- a/docs/cudf/source/generated/cudf.DataFrame.where.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-cudf.DataFrame.where
-====================
-
-.. currentmodule:: cudf
-
-.. automethod:: DataFrame.where
\ No newline at end of file
diff --git a/docs/cudf/source/generated/pandas.DataFrame.drop.rst b/docs/cudf/source/generated/pandas.DataFrame.drop.rst
deleted file mode 100644
index 9ee305369db..00000000000
--- a/docs/cudf/source/generated/pandas.DataFrame.drop.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.drop
-=====================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.drop
\ No newline at end of file
diff --git a/docs/cudf/source/generated/pandas.DataFrame.groupby.rst b/docs/cudf/source/generated/pandas.DataFrame.groupby.rst
deleted file mode 100644
index f8872657308..00000000000
--- a/docs/cudf/source/generated/pandas.DataFrame.groupby.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.DataFrame.groupby
-========================
-
-.. currentmodule:: pandas
-
-.. automethod:: DataFrame.groupby
\ No newline at end of file
diff --git a/docs/cudf/source/generated/pandas.Series.array.rst b/docs/cudf/source/generated/pandas.Series.array.rst
deleted file mode 100644
index e0954c01d1a..00000000000
--- a/docs/cudf/source/generated/pandas.Series.array.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-pandas.Series.array
-===================
-
-.. currentmodule:: pandas
-
-.. autoproperty:: Series.array
\ No newline at end of file

From 2eeade6f29ab3febc5454e6b3997bda4ed48a036 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 11:25:43 -0700
Subject: [PATCH 15/49] add lists

---
 docs/cudf/source/api_docs/series.rst | 23 ++++++++++++++++++++++-
 1 file changed, 22 insertions(+), 1 deletion(-)

diff --git a/docs/cudf/source/api_docs/series.rst b/docs/cudf/source/api_docs/series.rst
index 947235356d9..663570991ba 100644
--- a/docs/cudf/source/api_docs/series.rst
+++ b/docs/cudf/source/api_docs/series.rst
@@ -212,7 +212,7 @@ Data Type                   Accessor
 Datetime, Timedelta         :ref:`dt <api.series.dt>`
 String                      :ref:`str <api.series.str>`
 Categorical                 :ref:`cat <api.series.cat>`
-Sparse                      :ref:`sparse <api.series.sparse>`
+List                        :ref:`list <api.series.list>`
 =========================== =================================
 
 .. _api.series.dt:
@@ -396,6 +396,27 @@ the ``Series.cat`` accessor.
    as_unordered
 
 
+.. _api.series.list:
+
+List handling
+~~~~~~~~~~~~~
+
+``Series.list`` can be used to access the values of the series as
+lists and apply list methods to it. These can be accessed like
+``Series.list.<function/property>``.
+
+.. currentmodule:: cudf.core.column.lists.ListMethods
+.. autosummary::
+   :toctree: api/
+
+   concat
+   contains
+   get
+   len
+   sort_values
+   take
+   unique
+
 
 Serialization / IO / conversion
 -------------------------------

From 69a6f11e219ecc5e22680420be94c1ae7360459a Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 11:27:56 -0700
Subject: [PATCH 16/49] update gitignore

---
 .gitignore | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/.gitignore b/.gitignore
index b398cfc4f88..5372c539759 100644
--- a/.gitignore
+++ b/.gitignore
@@ -159,3 +159,7 @@ dask-worker-space/
 
 # protobuf
 **/*_pb2.py
+
+# Sphinx docs & build artifacts
+docs/cudf/source/api_docs/api
+docs/cudf/source/api_docs/generated
\ No newline at end of file

From 1be68ab4607648cf88ea5335dc3507f8fe4b142e Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 11:47:19 -0700
Subject: [PATCH 17/49] remove stale file

---
 docs/cudf/source/api_docs/api.rst | 22 ----------------------
 1 file changed, 22 deletions(-)
 delete mode 100644 docs/cudf/source/api_docs/api.rst

diff --git a/docs/cudf/source/api_docs/api.rst b/docs/cudf/source/api_docs/api.rst
deleted file mode 100644
index bc227364351..00000000000
--- a/docs/cudf/source/api_docs/api.rst
+++ /dev/null
@@ -1,22 +0,0 @@
-***************************************
-API documentation and generated content
-***************************************
-
-This page contains general code elements that are common
-for package documentation.
-
-Autosummary table and API stub pages
-====================================
-
-.. autosummary::
-   :toctree:
-
-   pandas.DataFrame.drop
-   cudf.DataFrame.drop
-   pandas.DataFrame.groupby
-   cudf.DataFrame.where
-
-.. autosummary::
-   :toctree: generated/
-
-   pandas.Series.array

From 90255f3d68716f964b68e59a5415b700f8a6136f Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 11:48:15 -0700
Subject: [PATCH 18/49] update gitignore

---
 .gitignore | 1 -
 1 file changed, 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index 5372c539759..fabec763545 100644
--- a/.gitignore
+++ b/.gitignore
@@ -161,5 +161,4 @@ dask-worker-space/
 **/*_pb2.py
 
 # Sphinx docs & build artifacts
-docs/cudf/source/api_docs/api
 docs/cudf/source/api_docs/generated
\ No newline at end of file

From d2da932949822c9f6a2beefeb1a967a09bdb88b0 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 12:27:21 -0700
Subject: [PATCH 19/49] move files

---
 conda/environments/cudf_dev_cuda11.0.yml      |    1 -
 conda/environments/cudf_dev_cuda11.2.yml      |    1 -
 docs/cudf/source/10min-cudf-cupy.ipynb        | 1334 ----
 docs/cudf/source/10min.ipynb                  | 6487 -----------------
 .../source/Working-with-missing-data.ipynb    | 3466 ---------
 docs/cudf/source/api.rst                      |   22 -
 docs/cudf/source/api_docs/window.rst          |  108 +
 docs/cudf/source/basics.rst                   |   54 -
 docs/cudf/source/basics/dask-cudf.md          |   78 -
 docs/cudf/source/{ => basics}/dask-cudf.rst   |    0
 docs/cudf/source/basics/index.rst             |    7 +-
 docs/cudf/source/basics/internals.md          |  194 -
 docs/cudf/source/{ => basics}/internals.rst   |    0
 .../{ => basics}/io-gds-integration.rst       |    0
 .../cudf/source/basics/io-supported-types.rst |  112 +-
 docs/cudf/source/basics/io.rst                |    3 +-
 docs/cudf/source/conf.py                      |   20 +-
 docs/cudf/source/groupby.rst                  |  237 -
 docs/cudf/source/guide-to-udfs.ipynb          | 1716 -----
 docs/cudf/source/io-supported-types.rst       |   66 -
 docs/cudf/source/io.rst                       |   12 -
 docs/cudf/source/user_guide/10min.ipynb       |    2 +-
 docs/cudf/source/user_guide/groupby.md        |  200 -
 docs/cudf/source/user_guide/index.rst         |    2 +-
 .../cuda-11.0/dev_requirements.txt            |    2 +-
 .../cuda-11.2/dev_requirements.txt            |    2 +-
 26 files changed, 185 insertions(+), 13941 deletions(-)
 delete mode 100644 docs/cudf/source/10min-cudf-cupy.ipynb
 delete mode 100644 docs/cudf/source/10min.ipynb
 delete mode 100644 docs/cudf/source/Working-with-missing-data.ipynb
 delete mode 100644 docs/cudf/source/api.rst
 create mode 100644 docs/cudf/source/api_docs/window.rst
 delete mode 100644 docs/cudf/source/basics.rst
 delete mode 100644 docs/cudf/source/basics/dask-cudf.md
 rename docs/cudf/source/{ => basics}/dask-cudf.rst (100%)
 delete mode 100644 docs/cudf/source/basics/internals.md
 rename docs/cudf/source/{ => basics}/internals.rst (100%)
 rename docs/cudf/source/{ => basics}/io-gds-integration.rst (100%)
 delete mode 100644 docs/cudf/source/groupby.rst
 delete mode 100644 docs/cudf/source/guide-to-udfs.ipynb
 delete mode 100644 docs/cudf/source/io-supported-types.rst
 delete mode 100644 docs/cudf/source/io.rst
 delete mode 100644 docs/cudf/source/user_guide/groupby.md

diff --git a/conda/environments/cudf_dev_cuda11.0.yml b/conda/environments/cudf_dev_cuda11.0.yml
index 9a509f3d5c4..fbfc0fb8f9c 100644
--- a/conda/environments/cudf_dev_cuda11.0.yml
+++ b/conda/environments/cudf_dev_cuda11.0.yml
@@ -26,7 +26,6 @@ dependencies:
   - pytest-benchmark
   - pytest-xdist
   - sphinx
-  - sphinx_rtd_theme
   - sphinxcontrib-websupport
   - nbsphinx
   - numpydoc
diff --git a/conda/environments/cudf_dev_cuda11.2.yml b/conda/environments/cudf_dev_cuda11.2.yml
index 2635f778d34..c5dab7c9d52 100644
--- a/conda/environments/cudf_dev_cuda11.2.yml
+++ b/conda/environments/cudf_dev_cuda11.2.yml
@@ -26,7 +26,6 @@ dependencies:
   - pytest-benchmark
   - pytest-xdist
   - sphinx
-  - sphinx_rtd_theme
   - sphinxcontrib-websupport
   - nbsphinx
   - numpydoc
diff --git a/docs/cudf/source/10min-cudf-cupy.ipynb b/docs/cudf/source/10min-cudf-cupy.ipynb
deleted file mode 100644
index 0985291f3c2..00000000000
--- a/docs/cudf/source/10min-cudf-cupy.ipynb
+++ /dev/null
@@ -1,1334 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 10 Minutes to cuDF and CuPy\n",
-    "\n",
-    "This notebook provides introductory examples of how you can use cuDF and CuPy together to take advantage of CuPy array functionality (such as advanced linear algebra operations)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import timeit\n",
-    "\n",
-    "import cupy as cp\n",
-    "import cudf"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Converting a cuDF DataFrame to a CuPy Array\n",
-    "\n",
-    "If we want to convert a cuDF DataFrame to a CuPy ndarray, There are multiple ways to do it:\n",
-    "\n",
-    "1. We can use the [dlpack](https://github.com/dmlc/dlpack) interface.\n",
-    "\n",
-    "2. We can also use `DataFrame.values`.\n",
-    "\n",
-    "3. We can also convert via the [CUDA array interface](https://numba.pydata.org/numba-doc/dev/cuda/cuda_array_interface.html) by using cuDF's `as_gpu_matrix` and CuPy's `asarray` functionality."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "44.1 µs ± 689 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n",
-      "209 µs ± 2.77 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n",
-      "208 µs ± 3.14 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "nelem = 10000\n",
-    "df = cudf.DataFrame({'a':range(nelem),\n",
-    "                     'b':range(500, nelem + 500),\n",
-    "                     'c':range(1000, nelem + 1000)}\n",
-    "                   )\n",
-    "\n",
-    "%timeit arr_cupy = cp.fromDlpack(df.to_dlpack())\n",
-    "%timeit arr_cupy = df.values\n",
-    "%timeit arr_cupy = cp.asarray(df.as_gpu_matrix())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[    0,   500,  1000],\n",
-       "       [    1,   501,  1001],\n",
-       "       [    2,   502,  1002],\n",
-       "       ...,\n",
-       "       [ 9997, 10497, 10997],\n",
-       "       [ 9998, 10498, 10998],\n",
-       "       [ 9999, 10499, 10999]])"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr_cupy = cp.fromDlpack(df.to_dlpack())\n",
-    "arr_cupy"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Converting a cuDF Series to a CuPy Array"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "There are also multiple ways to convert a cuDF Series to a CuPy array:\n",
-    "\n",
-    "1. We can pass the Series to `cupy.asarray` as cuDF Series exposes [`__cuda_array_interface__`](https://docs-cupy.chainer.org/en/stable/reference/interoperability.html).\n",
-    "2. We can leverage the dlpack interface `to_dlpack()`. \n",
-    "3. We can also use `Series.values` \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "22.1 µs ± 518 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n",
-      "58.3 µs ± 647 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n",
-      "80.2 µs ± 647 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "col = 'a'\n",
-    "\n",
-    "%timeit cola_cupy = cp.asarray(df[col])\n",
-    "%timeit cola_cupy = cp.fromDlpack(df[col].to_dlpack())\n",
-    "%timeit cola_cupy = df[col].values"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([   0,    1,    2, ..., 9997, 9998, 9999])"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cola_cupy = cp.asarray(df[col])\n",
-    "cola_cupy"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "From here, we can proceed with normal CuPy workflows, such as reshaping the array, getting the diagonal, or calculating the norm."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[   0,    1,    2, ...,  197,  198,  199],\n",
-       "       [ 200,  201,  202, ...,  397,  398,  399],\n",
-       "       [ 400,  401,  402, ...,  597,  598,  599],\n",
-       "       ...,\n",
-       "       [9400, 9401, 9402, ..., 9597, 9598, 9599],\n",
-       "       [9600, 9601, 9602, ..., 9797, 9798, 9799],\n",
-       "       [9800, 9801, 9802, ..., 9997, 9998, 9999]])"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reshaped_arr = cola_cupy.reshape(50, 200)\n",
-    "reshaped_arr"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([   0,  201,  402,  603,  804, 1005, 1206, 1407, 1608, 1809, 2010,\n",
-       "       2211, 2412, 2613, 2814, 3015, 3216, 3417, 3618, 3819, 4020, 4221,\n",
-       "       4422, 4623, 4824, 5025, 5226, 5427, 5628, 5829, 6030, 6231, 6432,\n",
-       "       6633, 6834, 7035, 7236, 7437, 7638, 7839, 8040, 8241, 8442, 8643,\n",
-       "       8844, 9045, 9246, 9447, 9648, 9849])"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reshaped_arr.diagonal()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array(577306.967739)"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cp.linalg.norm(reshaped_arr)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Converting a CuPy Array to a cuDF DataFrame\n",
-    "\n",
-    "We can also convert a CuPy ndarray to a cuDF DataFrame. Like before, there are multiple ways to do it:\n",
-    "\n",
-    "1. **Easiest;** We can directly use the `DataFrame` constructor.\n",
-    "\n",
-    "2. We can use CUDA array interface with the `DataFrame` constructor.\n",
-    "\n",
-    "3. We can also use the [dlpack](https://github.com/dmlc/dlpack) interface.\n",
-    "\n",
-    "For the latter two cases, we'll need to make sure that our CuPy array is Fortran contiguous in memory (if it's not already). We can either transpose the array or simply coerce it to be Fortran contiguous beforehand."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "13.1 ms ± 193 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "%timeit reshaped_df = cudf.DataFrame(reshaped_arr)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
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-       "      <th>0</th>\n",
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-       "      <th>190</th>\n",
-       "      <th>191</th>\n",
-       "      <th>192</th>\n",
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-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>6</td>\n",
-       "      <td>7</td>\n",
-       "      <td>8</td>\n",
-       "      <td>9</td>\n",
-       "      <td>...</td>\n",
-       "      <td>190</td>\n",
-       "      <td>191</td>\n",
-       "      <td>192</td>\n",
-       "      <td>193</td>\n",
-       "      <td>194</td>\n",
-       "      <td>195</td>\n",
-       "      <td>196</td>\n",
-       "      <td>197</td>\n",
-       "      <td>198</td>\n",
-       "      <td>199</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>200</td>\n",
-       "      <td>201</td>\n",
-       "      <td>202</td>\n",
-       "      <td>203</td>\n",
-       "      <td>204</td>\n",
-       "      <td>205</td>\n",
-       "      <td>206</td>\n",
-       "      <td>207</td>\n",
-       "      <td>208</td>\n",
-       "      <td>209</td>\n",
-       "      <td>...</td>\n",
-       "      <td>390</td>\n",
-       "      <td>391</td>\n",
-       "      <td>392</td>\n",
-       "      <td>393</td>\n",
-       "      <td>394</td>\n",
-       "      <td>395</td>\n",
-       "      <td>396</td>\n",
-       "      <td>397</td>\n",
-       "      <td>398</td>\n",
-       "      <td>399</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>400</td>\n",
-       "      <td>401</td>\n",
-       "      <td>402</td>\n",
-       "      <td>403</td>\n",
-       "      <td>404</td>\n",
-       "      <td>405</td>\n",
-       "      <td>406</td>\n",
-       "      <td>407</td>\n",
-       "      <td>408</td>\n",
-       "      <td>409</td>\n",
-       "      <td>...</td>\n",
-       "      <td>590</td>\n",
-       "      <td>591</td>\n",
-       "      <td>592</td>\n",
-       "      <td>593</td>\n",
-       "      <td>594</td>\n",
-       "      <td>595</td>\n",
-       "      <td>596</td>\n",
-       "      <td>597</td>\n",
-       "      <td>598</td>\n",
-       "      <td>599</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>600</td>\n",
-       "      <td>601</td>\n",
-       "      <td>602</td>\n",
-       "      <td>603</td>\n",
-       "      <td>604</td>\n",
-       "      <td>605</td>\n",
-       "      <td>606</td>\n",
-       "      <td>607</td>\n",
-       "      <td>608</td>\n",
-       "      <td>609</td>\n",
-       "      <td>...</td>\n",
-       "      <td>790</td>\n",
-       "      <td>791</td>\n",
-       "      <td>792</td>\n",
-       "      <td>793</td>\n",
-       "      <td>794</td>\n",
-       "      <td>795</td>\n",
-       "      <td>796</td>\n",
-       "      <td>797</td>\n",
-       "      <td>798</td>\n",
-       "      <td>799</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>800</td>\n",
-       "      <td>801</td>\n",
-       "      <td>802</td>\n",
-       "      <td>803</td>\n",
-       "      <td>804</td>\n",
-       "      <td>805</td>\n",
-       "      <td>806</td>\n",
-       "      <td>807</td>\n",
-       "      <td>808</td>\n",
-       "      <td>809</td>\n",
-       "      <td>...</td>\n",
-       "      <td>990</td>\n",
-       "      <td>991</td>\n",
-       "      <td>992</td>\n",
-       "      <td>993</td>\n",
-       "      <td>994</td>\n",
-       "      <td>995</td>\n",
-       "      <td>996</td>\n",
-       "      <td>997</td>\n",
-       "      <td>998</td>\n",
-       "      <td>999</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 200 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   0    1    2    3    4    5    6    7    8    9    ...  190  191  192  193  \\\n",
-       "0    0    1    2    3    4    5    6    7    8    9  ...  190  191  192  193   \n",
-       "1  200  201  202  203  204  205  206  207  208  209  ...  390  391  392  393   \n",
-       "2  400  401  402  403  404  405  406  407  408  409  ...  590  591  592  593   \n",
-       "3  600  601  602  603  604  605  606  607  608  609  ...  790  791  792  793   \n",
-       "4  800  801  802  803  804  805  806  807  808  809  ...  990  991  992  993   \n",
-       "\n",
-       "   194  195  196  197  198  199  \n",
-       "0  194  195  196  197  198  199  \n",
-       "1  394  395  396  397  398  399  \n",
-       "2  594  595  596  597  598  599  \n",
-       "3  794  795  796  797  798  799  \n",
-       "4  994  995  996  997  998  999  \n",
-       "\n",
-       "[5 rows x 200 columns]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reshaped_df = cudf.DataFrame(reshaped_arr)\n",
-    "reshaped_df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can check whether our array is Fortran contiguous by using cupy.isfortran or looking at the [flags](https://docs-cupy.chainer.org/en/stable/reference/generated/cupy.ndarray.html#cupy.ndarray.flags) of the array."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cp.isfortran(reshaped_arr)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In this case, we'll need to convert it before going to a cuDF DataFrame. In the next two cells, we create the DataFrame by leveraging dlpack and the CUDA array interface, respectively."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4.9 ms ± 26.4 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "%%timeit\n",
-    "\n",
-    "fortran_arr = cp.asfortranarray(reshaped_arr)\n",
-    "reshaped_df = cudf.DataFrame(fortran_arr)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "5.1 ms ± 23.3 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
-     ]
-    }
-   ],
-   "source": [
-    "%%timeit\n",
-    "\n",
-    "fortran_arr = cp.asfortranarray(reshaped_arr)\n",
-    "reshaped_df = cudf.from_dlpack(fortran_arr.toDlpack())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <td>392</td>\n",
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-       "      <td>401</td>\n",
-       "      <td>402</td>\n",
-       "      <td>403</td>\n",
-       "      <td>404</td>\n",
-       "      <td>405</td>\n",
-       "      <td>406</td>\n",
-       "      <td>407</td>\n",
-       "      <td>408</td>\n",
-       "      <td>409</td>\n",
-       "      <td>...</td>\n",
-       "      <td>590</td>\n",
-       "      <td>591</td>\n",
-       "      <td>592</td>\n",
-       "      <td>593</td>\n",
-       "      <td>594</td>\n",
-       "      <td>595</td>\n",
-       "      <td>596</td>\n",
-       "      <td>597</td>\n",
-       "      <td>598</td>\n",
-       "      <td>599</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>600</td>\n",
-       "      <td>601</td>\n",
-       "      <td>602</td>\n",
-       "      <td>603</td>\n",
-       "      <td>604</td>\n",
-       "      <td>605</td>\n",
-       "      <td>606</td>\n",
-       "      <td>607</td>\n",
-       "      <td>608</td>\n",
-       "      <td>609</td>\n",
-       "      <td>...</td>\n",
-       "      <td>790</td>\n",
-       "      <td>791</td>\n",
-       "      <td>792</td>\n",
-       "      <td>793</td>\n",
-       "      <td>794</td>\n",
-       "      <td>795</td>\n",
-       "      <td>796</td>\n",
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-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>800</td>\n",
-       "      <td>801</td>\n",
-       "      <td>802</td>\n",
-       "      <td>803</td>\n",
-       "      <td>804</td>\n",
-       "      <td>805</td>\n",
-       "      <td>806</td>\n",
-       "      <td>807</td>\n",
-       "      <td>808</td>\n",
-       "      <td>809</td>\n",
-       "      <td>...</td>\n",
-       "      <td>990</td>\n",
-       "      <td>991</td>\n",
-       "      <td>992</td>\n",
-       "      <td>993</td>\n",
-       "      <td>994</td>\n",
-       "      <td>995</td>\n",
-       "      <td>996</td>\n",
-       "      <td>997</td>\n",
-       "      <td>998</td>\n",
-       "      <td>999</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 200 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   0    1    2    3    4    5    6    7    8    9    ...  190  191  192  193  \\\n",
-       "0    0    1    2    3    4    5    6    7    8    9  ...  190  191  192  193   \n",
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-       "2  400  401  402  403  404  405  406  407  408  409  ...  590  591  592  593   \n",
-       "3  600  601  602  603  604  605  606  607  608  609  ...  790  791  792  793   \n",
-       "4  800  801  802  803  804  805  806  807  808  809  ...  990  991  992  993   \n",
-       "\n",
-       "   194  195  196  197  198  199  \n",
-       "0  194  195  196  197  198  199  \n",
-       "1  394  395  396  397  398  399  \n",
-       "2  594  595  596  597  598  599  \n",
-       "3  794  795  796  797  798  799  \n",
-       "4  994  995  996  997  998  999  \n",
-       "\n",
-       "[5 rows x 200 columns]"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fortran_arr = cp.asfortranarray(reshaped_arr)\n",
-    "reshaped_df = cudf.DataFrame(fortran_arr)\n",
-    "reshaped_df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Converting a CuPy Array to a cuDF Series\n",
-    "\n",
-    "To convert an array to a Series, we can directly pass the array to the `Series` constructor."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0      0\n",
-       "1    201\n",
-       "2    402\n",
-       "3    603\n",
-       "4    804\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cudf.Series(reshaped_arr.diagonal()).head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Interweaving CuDF and CuPy for Smooth PyData Workflows\n",
-    "\n",
-    "RAPIDS libraries and the entire GPU PyData ecosystem are developing quickly, but sometimes a one library may not have the functionality you need. One example of this might be taking the row-wise sum (or mean) of a Pandas DataFrame. cuDF's support for row-wise operations isn't mature, so you'd need to either transpose the DataFrame or write a UDF and explicitly calculate the sum across each row. Transposing could lead to hundreds of thousands of columns (which cuDF wouldn't perform well with) depending on your data's shape, and writing a UDF can be time intensive.\n",
-    "\n",
-    "By leveraging the interoperability of the GPU PyData ecosystem, this operation becomes very easy. Let's take the row-wise sum of our previously reshaped cuDF DataFrame."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <td>207</td>\n",
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-       "      <td>392</td>\n",
-       "      <td>393</td>\n",
-       "      <td>394</td>\n",
-       "      <td>395</td>\n",
-       "      <td>396</td>\n",
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-       "      <td>398</td>\n",
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-       "      <td>403</td>\n",
-       "      <td>404</td>\n",
-       "      <td>405</td>\n",
-       "      <td>406</td>\n",
-       "      <td>407</td>\n",
-       "      <td>408</td>\n",
-       "      <td>409</td>\n",
-       "      <td>...</td>\n",
-       "      <td>590</td>\n",
-       "      <td>591</td>\n",
-       "      <td>592</td>\n",
-       "      <td>593</td>\n",
-       "      <td>594</td>\n",
-       "      <td>595</td>\n",
-       "      <td>596</td>\n",
-       "      <td>597</td>\n",
-       "      <td>598</td>\n",
-       "      <td>599</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>600</td>\n",
-       "      <td>601</td>\n",
-       "      <td>602</td>\n",
-       "      <td>603</td>\n",
-       "      <td>604</td>\n",
-       "      <td>605</td>\n",
-       "      <td>606</td>\n",
-       "      <td>607</td>\n",
-       "      <td>608</td>\n",
-       "      <td>609</td>\n",
-       "      <td>...</td>\n",
-       "      <td>790</td>\n",
-       "      <td>791</td>\n",
-       "      <td>792</td>\n",
-       "      <td>793</td>\n",
-       "      <td>794</td>\n",
-       "      <td>795</td>\n",
-       "      <td>796</td>\n",
-       "      <td>797</td>\n",
-       "      <td>798</td>\n",
-       "      <td>799</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>800</td>\n",
-       "      <td>801</td>\n",
-       "      <td>802</td>\n",
-       "      <td>803</td>\n",
-       "      <td>804</td>\n",
-       "      <td>805</td>\n",
-       "      <td>806</td>\n",
-       "      <td>807</td>\n",
-       "      <td>808</td>\n",
-       "      <td>809</td>\n",
-       "      <td>...</td>\n",
-       "      <td>990</td>\n",
-       "      <td>991</td>\n",
-       "      <td>992</td>\n",
-       "      <td>993</td>\n",
-       "      <td>994</td>\n",
-       "      <td>995</td>\n",
-       "      <td>996</td>\n",
-       "      <td>997</td>\n",
-       "      <td>998</td>\n",
-       "      <td>999</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 200 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   0    1    2    3    4    5    6    7    8    9    ...  190  191  192  193  \\\n",
-       "0    0    1    2    3    4    5    6    7    8    9  ...  190  191  192  193   \n",
-       "1  200  201  202  203  204  205  206  207  208  209  ...  390  391  392  393   \n",
-       "2  400  401  402  403  404  405  406  407  408  409  ...  590  591  592  593   \n",
-       "3  600  601  602  603  604  605  606  607  608  609  ...  790  791  792  793   \n",
-       "4  800  801  802  803  804  805  806  807  808  809  ...  990  991  992  993   \n",
-       "\n",
-       "   194  195  196  197  198  199  \n",
-       "0  194  195  196  197  198  199  \n",
-       "1  394  395  396  397  398  399  \n",
-       "2  594  595  596  597  598  599  \n",
-       "3  794  795  796  797  798  799  \n",
-       "4  994  995  996  997  998  999  \n",
-       "\n",
-       "[5 rows x 200 columns]"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "reshaped_df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can just transform it into a CuPy array and use the `axis` argument of `sum`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([  19900,   59900,   99900,  139900,  179900,  219900,  259900,\n",
-       "        299900,  339900,  379900,  419900,  459900,  499900,  539900,\n",
-       "        579900,  619900,  659900,  699900,  739900,  779900,  819900,\n",
-       "        859900,  899900,  939900,  979900, 1019900, 1059900, 1099900,\n",
-       "       1139900, 1179900, 1219900, 1259900, 1299900, 1339900, 1379900,\n",
-       "       1419900, 1459900, 1499900, 1539900, 1579900, 1619900, 1659900,\n",
-       "       1699900, 1739900, 1779900, 1819900, 1859900, 1899900, 1939900,\n",
-       "       1979900])"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "new_arr = cp.fromDlpack(reshaped_df.to_dlpack())\n",
-    "new_arr.sum(axis=1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "With just that single line, we're able to seamlessly move between data structures in this ecosystem, giving us enormous flexibility without sacrificing speed."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Converting a cuDF DataFrame to a CuPy Sparse Matrix\n",
-    "\n",
-    "We can also convert a DataFrame or Series to a CuPy sparse matrix. We might want to do this if downstream processes expect CuPy sparse matrices as an input.\n",
-    "\n",
-    "The sparse matrix data structure is defined by three dense arrays. We'll define a small helper function for cleanliness."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def cudf_to_cupy_sparse_matrix(data, sparseformat='column'):\n",
-    "    \"\"\"Converts a cuDF object to a CuPy Sparse Column matrix.\n",
-    "    \"\"\"\n",
-    "    if sparseformat not in ('row', 'column',):\n",
-    "        raise ValueError(\"Let's focus on column and row formats for now.\")\n",
-    "    \n",
-    "    _sparse_constructor = cp.sparse.csc_matrix\n",
-    "    if sparseformat == 'row':\n",
-    "        _sparse_constructor = cp.sparse.csr_matrix\n",
-    "\n",
-    "    return _sparse_constructor(cp.fromDlpack(data.to_dlpack()))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can define a sparsely populated DataFrame to illustrate this conversion to either sparse matrix format."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = cudf.DataFrame()\n",
-    "nelem = 10000\n",
-    "nonzero = 1000\n",
-    "for i in range(20):\n",
-    "    arr = cp.random.normal(5, 5, nelem)\n",
-    "    arr[cp.random.choice(arr.shape[0], nelem-nonzero, replace=False)] = 0\n",
-    "    df['a' + str(i)] = arr"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <th>a10</th>\n",
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-       "      <th>a12</th>\n",
-       "      <th>a13</th>\n",
-       "      <th>a14</th>\n",
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-       "      <th>a17</th>\n",
-       "      <th>a18</th>\n",
-       "      <th>a19</th>\n",
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-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
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-       "      <td>6.618972</td>\n",
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-       "      <td>2.25678</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
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-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>0.00000</td>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>2.715802</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
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-       "    <tr>\n",
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-       "      <td>0.0</td>\n",
-       "      <td>4.296568</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
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-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>4.865495</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    a0   a1        a2   a3   a4   a5   a6   a7   a8   a9       a10      a11  \\\n",
-       "0  0.0  0.0  0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000  0.00000   \n",
-       "1  0.0  0.0  0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000  0.00000   \n",
-       "2  0.0  0.0  6.618972  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000  2.25678   \n",
-       "3  0.0  0.0  0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000  0.00000   \n",
-       "4  0.0  0.0  0.000000  0.0  0.0  0.0  0.0  0.0  0.0  0.0  4.296568  0.00000   \n",
-       "\n",
-       "   a12        a13  a14       a15  a16  a17  a18       a19  \n",
-       "0  0.0  16.822959  0.0  0.000000  0.0  0.0  0.0  0.000000  \n",
-       "1  0.0   0.000000  0.0  0.000000  0.0  0.0  0.0  0.000000  \n",
-       "2  0.0   0.000000  0.0  0.000000  0.0  0.0  0.0  0.000000  \n",
-       "3  0.0   0.000000  0.0  2.715802  0.0  0.0  0.0  0.000000  \n",
-       "4  0.0   0.000000  0.0  0.000000  0.0  0.0  0.0  4.865495  "
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<cupyx.scipy.sparse.csc.csc_matrix at 0x7f25e49466a0>"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sparse_data = cudf_to_cupy_sparse_matrix(df)\n",
-    "sparse_data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "From here, we could continue our workflow with a CuPy sparse matrix.\n",
-    "\n",
-    "For a full list of the functionality built into these libraries, we encourage you to check out the API docs for [cuDF](https://docs.rapids.ai/api/cudf/nightly/) and [CuPy](https://docs-cupy.chainer.org/en/stable/index.html)."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/cudf/source/10min.ipynb b/docs/cudf/source/10min.ipynb
deleted file mode 100644
index a7e959a05a7..00000000000
--- a/docs/cudf/source/10min.ipynb
+++ /dev/null
@@ -1,6487 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "10 Minutes to cuDF and Dask-cuDF\n",
-    "=======================\n",
-    "\n",
-    "Modeled after 10 Minutes to Pandas, this is a short introduction to cuDF and Dask-cuDF, geared mainly for new users.\n",
-    "\n",
-    "### What are these Libraries?\n",
-    "\n",
-    "[cuDF](https://github.com/rapidsai/cudf) is a Python GPU DataFrame library (built on the Apache Arrow columnar memory format) for loading, joining, aggregating, filtering, and otherwise manipulating tabular data using a DataFrame style API.\n",
-    "\n",
-    "[Dask](https://dask.org/) is a flexible library for parallel computing in Python that makes scaling out your workflow smooth and simple. On the CPU, Dask uses Pandas to execute operations in parallel on DataFrame partitions.\n",
-    "\n",
-    "[Dask-cuDF](https://github.com/rapidsai/cudf/tree/main/python/dask_cudf) extends Dask where necessary to allow its DataFrame partitions to be processed by cuDF GPU DataFrames as opposed to Pandas DataFrames. For instance, when you call dask_cudf.read_csv(...), your cluster’s GPUs do the work of parsing the CSV file(s) with underlying cudf.read_csv().\n",
-    "\n",
-    "\n",
-    "### When to use cuDF and Dask-cuDF\n",
-    "\n",
-    "If your workflow is fast enough on a single GPU or your data comfortably fits in memory on a single GPU, you would want to use cuDF. If you want to distribute your workflow across multiple GPUs, have more data than you can fit in memory on a single GPU, or want to analyze data spread across many files at once, you would want to use Dask-cuDF."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "\n",
-    "import cupy as cp\n",
-    "import pandas as pd\n",
-    "import cudf\n",
-    "import dask_cudf\n",
-    "\n",
-    "cp.random.seed(12)\n",
-    "\n",
-    "#### Portions of this were borrowed and adapted from the\n",
-    "#### cuDF cheatsheet, existing cuDF documentation,\n",
-    "#### and 10 Minutes to Pandas."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Object Creation\n",
-    "---------------"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Creating a `cudf.Series` and `dask_cudf.Series`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1       2\n",
-       "2       3\n",
-       "3    null\n",
-       "4       4\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s = cudf.Series([1,2,3,None,4])\n",
-    "s"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1       2\n",
-       "2       3\n",
-       "3    null\n",
-       "4       4\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds = dask_cudf.from_cudf(s, npartitions=2) \n",
-    "ds.compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Creating a `cudf.DataFrame` and a `dask_cudf.DataFrame` by specifying values for each column."
-   ]
-  },
-  {
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-       "     a   b   c\n",
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-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = cudf.DataFrame({'a': list(range(20)),\n",
-    "                     'b': list(reversed(range(20))),\n",
-    "                     'c': list(range(20))\n",
-    "                    })\n",
-    "df"
-   ]
-  },
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-      "text/plain": [
-       "     a   b   c\n",
-       "0    0  19   0\n",
-       "1    1  18   1\n",
-       "2    2  17   2\n",
-       "3    3  16   3\n",
-       "4    4  15   4\n",
-       "5    5  14   5\n",
-       "6    6  13   6\n",
-       "7    7  12   7\n",
-       "8    8  11   8\n",
-       "9    9  10   9\n",
-       "10  10   9  10\n",
-       "11  11   8  11\n",
-       "12  12   7  12\n",
-       "13  13   6  13\n",
-       "14  14   5  14\n",
-       "15  15   4  15\n",
-       "16  16   3  16\n",
-       "17  17   2  17\n",
-       "18  18   1  18\n",
-       "19  19   0  19"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf = dask_cudf.from_cudf(df, npartitions=2) \n",
-    "ddf.compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Creating a `cudf.DataFrame` from a pandas `Dataframe` and a `dask_cudf.Dataframe` from a `cudf.Dataframe`.\n",
-    "\n",
-    "*Note that best practice for using Dask-cuDF is to read data directly into a `dask_cudf.DataFrame` with something like `read_csv` (discussed below).*"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-      "text/plain": [
-       "   a     b\n",
-       "0  0   0.1\n",
-       "1  1   0.2\n",
-       "2  2  null\n",
-       "3  3   0.3"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pdf = pd.DataFrame({'a': [0, 1, 2, 3],'b': [0.1, 0.2, None, 0.3]})\n",
-    "gdf = cudf.DataFrame.from_pandas(pdf)\n",
-    "gdf"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <td>0.3</td>\n",
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-      "text/plain": [
-       "   a     b\n",
-       "0  0   0.1\n",
-       "1  1   0.2\n",
-       "2  2  null\n",
-       "3  3   0.3"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dask_gdf = dask_cudf.from_cudf(gdf, npartitions=2)\n",
-    "dask_gdf.compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Viewing Data\n",
-    "-------------"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Viewing the top rows of a GPU dataframe."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "   a   b  c\n",
-       "0  0  19  0\n",
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-     "execution_count": 8,
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-    "df.head(2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
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-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
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-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
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-      ],
-      "text/plain": [
-       "   a   b  c\n",
-       "0  0  19  0\n",
-       "1  1  18  1"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
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-   "source": [
-    "ddf.head(2)"
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-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Sorting by values."
-   ]
-  },
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-   "execution_count": 10,
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-       "      <th>4</th>\n",
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-       "      <th>3</th>\n",
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-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
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-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
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-       "     a   b   c\n",
-       "19  19   0  19\n",
-       "18  18   1  18\n",
-       "17  17   2  17\n",
-       "16  16   3  16\n",
-       "15  15   4  15\n",
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-       "13  13   6  13\n",
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-       "5    5  14   5\n",
-       "4    4  15   4\n",
-       "3    3  16   3\n",
-       "2    2  17   2\n",
-       "1    1  18   1\n",
-       "0    0  19   0"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
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-   "source": [
-    "df.sort_values(by='b')"
-   ]
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-       "      <th>3</th>\n",
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-      "text/plain": [
-       "     a   b   c\n",
-       "19  19   0  19\n",
-       "18  18   1  18\n",
-       "17  17   2  17\n",
-       "16  16   3  16\n",
-       "15  15   4  15\n",
-       "14  14   5  14\n",
-       "13  13   6  13\n",
-       "12  12   7  12\n",
-       "11  11   8  11\n",
-       "10  10   9  10\n",
-       "9    9  10   9\n",
-       "8    8  11   8\n",
-       "7    7  12   7\n",
-       "6    6  13   6\n",
-       "5    5  14   5\n",
-       "4    4  15   4\n",
-       "3    3  16   3\n",
-       "2    2  17   2\n",
-       "1    1  18   1\n",
-       "0    0  19   0"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf.sort_values(by='b').compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Selection\n",
-    "------------\n",
-    "\n",
-    "## Getting"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Selecting a single column, which initially yields a `cudf.Series` or `dask_cudf.Series`. Calling `compute` results in a `cudf.Series` (equivalent to `df.a`)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0      0\n",
-       "1      1\n",
-       "2      2\n",
-       "3      3\n",
-       "4      4\n",
-       "5      5\n",
-       "6      6\n",
-       "7      7\n",
-       "8      8\n",
-       "9      9\n",
-       "10    10\n",
-       "11    11\n",
-       "12    12\n",
-       "13    13\n",
-       "14    14\n",
-       "15    15\n",
-       "16    16\n",
-       "17    17\n",
-       "18    18\n",
-       "19    19\n",
-       "Name: a, dtype: int64"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['a']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0      0\n",
-       "1      1\n",
-       "2      2\n",
-       "3      3\n",
-       "4      4\n",
-       "5      5\n",
-       "6      6\n",
-       "7      7\n",
-       "8      8\n",
-       "9      9\n",
-       "10    10\n",
-       "11    11\n",
-       "12    12\n",
-       "13    13\n",
-       "14    14\n",
-       "15    15\n",
-       "16    16\n",
-       "17    17\n",
-       "18    18\n",
-       "19    19\n",
-       "Name: a, dtype: int64"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf['a'].compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Selection by Label"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Selecting rows from index 2 to index 5 from columns 'a' and 'b'."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <th>5</th>\n",
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-       "   a   b\n",
-       "2  2  17\n",
-       "3  3  16\n",
-       "4  4  15\n",
-       "5  5  14"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.loc[2:5, ['a', 'b']]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>5</td>\n",
-       "      <td>14</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a   b\n",
-       "2  2  17\n",
-       "3  3  16\n",
-       "4  4  15\n",
-       "5  5  14"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf.loc[2:5, ['a', 'b']].compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Selection by Position"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Selecting via integers and integer slices, like numpy/pandas. Note that this functionality is not available for Dask-cuDF DataFrames."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "a     0\n",
-       "b    19\n",
-       "c     0\n",
-       "Name: 0, dtype: int64"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.iloc[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
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-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a   b\n",
-       "0  0  19\n",
-       "1  1  18\n",
-       "2  2  17"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.iloc[0:3, 0:2]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can also select elements of a `DataFrame` or `Series` with direct index access."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>15</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a   b  c\n",
-       "3  3  16  3\n",
-       "4  4  15  4"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[3:5]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3    null\n",
-       "4       4\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s[3:5]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Boolean Indexing"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Selecting rows in a `DataFrame` or `Series` by direct Boolean indexing."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "      <td>0</td>\n",
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-       "      <td>1</td>\n",
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-       "      <td>1</td>\n",
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-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a   b  c\n",
-       "0  0  19  0\n",
-       "1  1  18  1\n",
-       "2  2  17  2\n",
-       "3  3  16  3"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[df.b > 15]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
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-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
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-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a   b  c\n",
-       "0  0  19  0\n",
-       "1  1  18  1\n",
-       "2  2  17  2\n",
-       "3  3  16  3"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf[ddf.b > 15].compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Selecting values from a `DataFrame` where a Boolean condition is met, via the `query` API."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    .dataframe tbody tr th {\n",
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-       "\n",
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-       "</style>\n",
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-       "</div>"
-      ],
-      "text/plain": [
-       "     a  b   c\n",
-       "16  16  3  16"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.query(\"b == 3\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     a  b   c\n",
-       "16  16  3  16"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf.query(\"b == 3\").compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can also pass local variables to Dask-cuDF queries, via the `local_dict` keyword. With standard cuDF, you may either use the `local_dict` keyword or directly pass the variable via the `@` keyword. Supported logical operators include `>`, `<`, `>=`, `<=`, `==`, and `!=`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
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-       "      <th></th>\n",
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-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
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-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     a  b   c\n",
-       "16  16  3  16"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cudf_comparator = 3\n",
-    "df.query(\"b == @cudf_comparator\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     a  b   c\n",
-       "16  16  3  16"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dask_cudf_comparator = 3\n",
-    "ddf.query(\"b == @val\", local_dict={'val':dask_cudf_comparator}).compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Using the `isin` method for filtering."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>5</td>\n",
-       "      <td>14</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a   b  c\n",
-       "0  0  19  0\n",
-       "5  5  14  5"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[df.a.isin([0, 5])]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## MultiIndex"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "cuDF supports hierarchical indexing of DataFrames using MultiIndex. Grouping hierarchically (see `Grouping` below) automatically produces a DataFrame with a MultiIndex."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "MultiIndex(levels=[0    a\n",
-       "1    b\n",
-       "dtype: object, 0    1\n",
-       "1    2\n",
-       "2    3\n",
-       "3    4\n",
-       "dtype: int64],\n",
-       "codes=   0  1\n",
-       "0  0  0\n",
-       "1  0  1\n",
-       "2  1  2\n",
-       "3  1  3)"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arrays = [['a', 'a', 'b', 'b'], [1, 2, 3, 4]]\n",
-    "tuples = list(zip(*arrays))\n",
-    "idx = cudf.MultiIndex.from_tuples(tuples)\n",
-    "idx"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This index can back either axis of a DataFrame."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>first</th>\n",
-       "      <th>second</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">a</th>\n",
-       "      <th>1</th>\n",
-       "      <td>0.082654</td>\n",
-       "      <td>0.967955</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.399417</td>\n",
-       "      <td>0.441425</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">b</th>\n",
-       "      <th>3</th>\n",
-       "      <td>0.784297</td>\n",
-       "      <td>0.793582</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0.070303</td>\n",
-       "      <td>0.271711</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        first    second\n",
-       "a 1  0.082654  0.967955\n",
-       "  2  0.399417  0.441425\n",
-       "b 3  0.784297  0.793582\n",
-       "  4  0.070303  0.271711"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gdf1 = cudf.DataFrame({'first': cp.random.rand(4), 'second': cp.random.rand(4)})\n",
-    "gdf1.index = idx\n",
-    "gdf1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead tr th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th colspan=\"2\" halign=\"left\">a</th>\n",
-       "      <th colspan=\"2\" halign=\"left\">b</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th></th>\n",
-       "      <th>1</th>\n",
-       "      <th>2</th>\n",
-       "      <th>3</th>\n",
-       "      <th>4</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>first</th>\n",
-       "      <td>0.343382</td>\n",
-       "      <td>0.003700</td>\n",
-       "      <td>0.20043</td>\n",
-       "      <td>0.581614</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>second</th>\n",
-       "      <td>0.907812</td>\n",
-       "      <td>0.101512</td>\n",
-       "      <td>0.24179</td>\n",
-       "      <td>0.224180</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "               a                  b          \n",
-       "               1         2        3         4\n",
-       "first   0.343382  0.003700  0.20043  0.581614\n",
-       "second  0.907812  0.101512  0.24179  0.224180"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gdf2 = cudf.DataFrame({'first': cp.random.rand(4), 'second': cp.random.rand(4)}).T\n",
-    "gdf2.columns = idx\n",
-    "gdf2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Accessing values of a DataFrame with a MultiIndex. Note that slicing is not yet supported."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>first</th>\n",
-       "      <th>second</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <th>1</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>b</th>\n",
-       "      <th>3</th>\n",
-       "      <td>0.784297</td>\n",
-       "      <td>0.793582</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        first    second\n",
-       "0 1                    \n",
-       "b 3  0.784297  0.793582"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gdf1.loc[('b', 3)]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Missing Data\n",
-    "------------"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Missing data can be replaced by using the `fillna` method."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0      1\n",
-       "1      2\n",
-       "2      3\n",
-       "3    999\n",
-       "4      4\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s.fillna(999)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0      1\n",
-       "1      2\n",
-       "2      3\n",
-       "3    999\n",
-       "4      4\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds.fillna(999).compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Operations\n",
-    "------------"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Stats"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Calculating descriptive statistics for a `Series`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(2.5, 1.666666666666666)"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s.mean(), s.var()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(2.5, 1.6666666666666667)"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds.mean().compute(), ds.var().compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Applymap"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Applying functions to a `Series`. Note that applying user defined functions directly with Dask-cuDF is not yet implemented. For now, you can use [map_partitions](http://docs.dask.org/en/stable/generated/dask.dataframe.DataFrame.map_partitions.html) to apply a function to each partition of the distributed dataframe."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0     10\n",
-       "1     11\n",
-       "2     12\n",
-       "3     13\n",
-       "4     14\n",
-       "5     15\n",
-       "6     16\n",
-       "7     17\n",
-       "8     18\n",
-       "9     19\n",
-       "10    20\n",
-       "11    21\n",
-       "12    22\n",
-       "13    23\n",
-       "14    24\n",
-       "15    25\n",
-       "16    26\n",
-       "17    27\n",
-       "18    28\n",
-       "19    29\n",
-       "Name: a, dtype: int64"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def add_ten(num):\n",
-    "    return num + 10\n",
-    "\n",
-    "df['a'].applymap(add_ten)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0     10\n",
-       "1     11\n",
-       "2     12\n",
-       "3     13\n",
-       "4     14\n",
-       "5     15\n",
-       "6     16\n",
-       "7     17\n",
-       "8     18\n",
-       "9     19\n",
-       "10    20\n",
-       "11    21\n",
-       "12    22\n",
-       "13    23\n",
-       "14    24\n",
-       "15    25\n",
-       "16    26\n",
-       "17    27\n",
-       "18    28\n",
-       "19    29\n",
-       "Name: a, dtype: int64"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf['a'].map_partitions(add_ten).compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Histogramming"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Counting the number of occurrences of each unique value of variable."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0     1\n",
-       "1     1\n",
-       "2     1\n",
-       "3     1\n",
-       "4     1\n",
-       "5     1\n",
-       "6     1\n",
-       "7     1\n",
-       "8     1\n",
-       "9     1\n",
-       "10    1\n",
-       "11    1\n",
-       "12    1\n",
-       "13    1\n",
-       "14    1\n",
-       "15    1\n",
-       "16    1\n",
-       "17    1\n",
-       "18    1\n",
-       "19    1\n",
-       "Name: a, dtype: int32"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.a.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0     1\n",
-       "1     1\n",
-       "2     1\n",
-       "3     1\n",
-       "4     1\n",
-       "5     1\n",
-       "6     1\n",
-       "7     1\n",
-       "8     1\n",
-       "9     1\n",
-       "10    1\n",
-       "11    1\n",
-       "12    1\n",
-       "13    1\n",
-       "14    1\n",
-       "15    1\n",
-       "16    1\n",
-       "17    1\n",
-       "18    1\n",
-       "19    1\n",
-       "Name: a, dtype: int64"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf.a.value_counts().compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## String Methods"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Like pandas, cuDF provides string processing methods in the `str` attribute of `Series`. Full documentation of string methods is a work in progress. Please see the cuDF API documentation for more information."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       a\n",
-       "1       b\n",
-       "2       c\n",
-       "3    aaba\n",
-       "4    baca\n",
-       "5    None\n",
-       "6    caba\n",
-       "7     dog\n",
-       "8     cat\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s = cudf.Series(['A', 'B', 'C', 'Aaba', 'Baca', None, 'CABA', 'dog', 'cat'])\n",
-    "s.str.lower()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       a\n",
-       "1       b\n",
-       "2       c\n",
-       "3    aaba\n",
-       "4    baca\n",
-       "5    None\n",
-       "6    caba\n",
-       "7     dog\n",
-       "8     cat\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds = dask_cudf.from_cudf(s, npartitions=2)\n",
-    "ds.str.lower().compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Concat"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Concatenating `Series` and `DataFrames` row-wise."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1       2\n",
-       "2       3\n",
-       "3    null\n",
-       "4       5\n",
-       "0       1\n",
-       "1       2\n",
-       "2       3\n",
-       "3    null\n",
-       "4       5\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s = cudf.Series([1, 2, 3, None, 5])\n",
-    "cudf.concat([s, s])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1       2\n",
-       "2       3\n",
-       "3    null\n",
-       "4       5\n",
-       "0       1\n",
-       "1       2\n",
-       "2       3\n",
-       "3    null\n",
-       "4       5\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds2 = dask_cudf.from_cudf(s, npartitions=2)\n",
-    "dask_cudf.concat([ds2, ds2]).compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Join"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Performing SQL style merges. Note that the dataframe order is not maintained, but may be restored post-merge by sorting by the index."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>key</th>\n",
-       "      <th>vals_a</th>\n",
-       "      <th>vals_b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>a</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>100.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>c</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>101.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>e</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>102.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>b</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>null</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>d</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>null</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  key  vals_a vals_b\n",
-       "0   a    10.0  100.0\n",
-       "1   c    12.0  101.0\n",
-       "2   e    14.0  102.0\n",
-       "3   b    11.0   null\n",
-       "4   d    13.0   null"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_a = cudf.DataFrame()\n",
-    "df_a['key'] = ['a', 'b', 'c', 'd', 'e']\n",
-    "df_a['vals_a'] = [float(i + 10) for i in range(5)]\n",
-    "\n",
-    "df_b = cudf.DataFrame()\n",
-    "df_b['key'] = ['a', 'c', 'e']\n",
-    "df_b['vals_b'] = [float(i+100) for i in range(3)]\n",
-    "\n",
-    "merged = df_a.merge(df_b, on=['key'], how='left')\n",
-    "merged"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>key</th>\n",
-       "      <th>vals_a</th>\n",
-       "      <th>vals_b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>a</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>100.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>c</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>101.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>b</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>null</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>e</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>102.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>d</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>null</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  key  vals_a vals_b\n",
-       "0   a    10.0  100.0\n",
-       "1   c    12.0  101.0\n",
-       "2   b    11.0   null\n",
-       "0   e    14.0  102.0\n",
-       "1   d    13.0   null"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf_a = dask_cudf.from_cudf(df_a, npartitions=2)\n",
-    "ddf_b = dask_cudf.from_cudf(df_b, npartitions=2)\n",
-    "\n",
-    "merged = ddf_a.merge(ddf_b, on=['key'], how='left').compute()\n",
-    "merged"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Append"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Appending values from another `Series` or array-like object."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1       2\n",
-       "2       3\n",
-       "3    null\n",
-       "4       5\n",
-       "0       1\n",
-       "1       2\n",
-       "2       3\n",
-       "3    null\n",
-       "4       5\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s.append(s)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1       2\n",
-       "2       3\n",
-       "3    null\n",
-       "4       5\n",
-       "0       1\n",
-       "1       2\n",
-       "2       3\n",
-       "3    null\n",
-       "4       5\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds2.append(ds2).compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Grouping"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Like pandas, cuDF and Dask-cuDF support the Split-Apply-Combine groupby paradigm."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df['agg_col1'] = [1 if x % 2 == 0 else 0 for x in range(len(df))]\n",
-    "df['agg_col2'] = [1 if x % 3 == 0 else 0 for x in range(len(df))]\n",
-    "\n",
-    "ddf = dask_cudf.from_cudf(df, npartitions=2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Grouping and then applying the `sum` function to the grouped data."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "      <th>agg_col2</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>agg_col1</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>100</td>\n",
-       "      <td>90</td>\n",
-       "      <td>100</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>90</td>\n",
-       "      <td>100</td>\n",
-       "      <td>90</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            a    b    c  agg_col2\n",
-       "agg_col1                         \n",
-       "0         100   90  100         3\n",
-       "1          90  100   90         4"
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('agg_col1').sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "      <th>agg_col2</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>agg_col1</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>100</td>\n",
-       "      <td>90</td>\n",
-       "      <td>100</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>90</td>\n",
-       "      <td>100</td>\n",
-       "      <td>90</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            a    b    c  agg_col2\n",
-       "agg_col1                         \n",
-       "0         100   90  100         3\n",
-       "1          90  100   90         4"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf.groupby('agg_col1').sum().compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Grouping hierarchically then applying the `sum` function to grouped data."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>agg_col1</th>\n",
-       "      <th>agg_col2</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
-       "      <th>0</th>\n",
-       "      <td>73</td>\n",
-       "      <td>60</td>\n",
-       "      <td>73</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>27</td>\n",
-       "      <td>30</td>\n",
-       "      <td>27</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
-       "      <th>0</th>\n",
-       "      <td>54</td>\n",
-       "      <td>60</td>\n",
-       "      <td>54</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>36</td>\n",
-       "      <td>40</td>\n",
-       "      <td>36</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                    a   b   c\n",
-       "agg_col1 agg_col2            \n",
-       "0        0         73  60  73\n",
-       "         1         27  30  27\n",
-       "1        0         54  60  54\n",
-       "         1         36  40  36"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby(['agg_col1', 'agg_col2']).sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
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-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>agg_col1</th>\n",
-       "      <th>agg_col2</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <th>1</th>\n",
-       "      <td>36</td>\n",
-       "      <td>40</td>\n",
-       "      <td>36</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <th>0</th>\n",
-       "      <td>73</td>\n",
-       "      <td>60</td>\n",
-       "      <td>73</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <th>0</th>\n",
-       "      <td>54</td>\n",
-       "      <td>60</td>\n",
-       "      <td>54</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <th>1</th>\n",
-       "      <td>27</td>\n",
-       "      <td>30</td>\n",
-       "      <td>27</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                    a   b   c\n",
-       "agg_col1 agg_col2            \n",
-       "1        1         36  40  36\n",
-       "0        0         73  60  73\n",
-       "1        0         54  60  54\n",
-       "0        1         27  30  27"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf.groupby(['agg_col1', 'agg_col2']).sum().compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Grouping and applying statistical functions to specific columns, using `agg`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>agg_col1</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>19</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>100</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>90</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           a     b    c\n",
-       "agg_col1               \n",
-       "0         19   9.0  100\n",
-       "1         18  10.0   90"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.groupby('agg_col1').agg({'a':'max', 'b':'mean', 'c':'sum'})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>agg_col1</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>19</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>100</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>90</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           a     b    c\n",
-       "agg_col1               \n",
-       "0         19   9.0  100\n",
-       "1         18  10.0   90"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf.groupby('agg_col1').agg({'a':'max', 'b':'mean', 'c':'sum'}).compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Transpose"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Transposing a dataframe, using either the `transpose` method or `T` property. Currently, all columns must have the same type. Transposing is not currently implemented in Dask-cuDF."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a  b\n",
-       "0  1  4\n",
-       "1  2  5\n",
-       "2  3  6"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sample = cudf.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})\n",
-    "sample"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>0</th>\n",
-       "      <th>1</th>\n",
-       "      <th>2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>a</th>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>b</th>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   0  1  2\n",
-       "a  1  2  3\n",
-       "b  4  5  6"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sample.transpose()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Time Series\n",
-    "------------\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "`DataFrames` supports `datetime` typed columns, which allow users to interact with and filter data based on specific timestamps."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2018-11-20</td>\n",
-       "      <td>0.986051</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2018-11-21</td>\n",
-       "      <td>0.232034</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2018-11-22</td>\n",
-       "      <td>0.397617</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2018-11-23</td>\n",
-       "      <td>0.103839</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        date     value\n",
-       "0 2018-11-20  0.986051\n",
-       "1 2018-11-21  0.232034\n",
-       "2 2018-11-22  0.397617\n",
-       "3 2018-11-23  0.103839"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import datetime as dt\n",
-    "\n",
-    "date_df = cudf.DataFrame()\n",
-    "date_df['date'] = pd.date_range('11/20/2018', periods=72, freq='D')\n",
-    "date_df['value'] = cp.random.sample(len(date_df))\n",
-    "\n",
-    "search_date = dt.datetime.strptime('2018-11-23', '%Y-%m-%d')\n",
-    "date_df.query('date <= @search_date')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2018-11-20</td>\n",
-       "      <td>0.986051</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2018-11-21</td>\n",
-       "      <td>0.232034</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2018-11-22</td>\n",
-       "      <td>0.397617</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2018-11-23</td>\n",
-       "      <td>0.103839</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        date     value\n",
-       "0 2018-11-20  0.986051\n",
-       "1 2018-11-21  0.232034\n",
-       "2 2018-11-22  0.397617\n",
-       "3 2018-11-23  0.103839"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "date_ddf = dask_cudf.from_cudf(date_df, npartitions=2)\n",
-    "date_ddf.query('date <= @search_date', local_dict={'search_date':search_date}).compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Categoricals\n",
-    "------------"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "`DataFrames` support categorical columns."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>grade</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>b</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>b</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>6</td>\n",
-       "      <td>e</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   id grade\n",
-       "0   1     a\n",
-       "1   2     b\n",
-       "2   3     b\n",
-       "3   4     a\n",
-       "4   5     a\n",
-       "5   6     e"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gdf = cudf.DataFrame({\"id\": [1, 2, 3, 4, 5, 6], \"grade\":['a', 'b', 'b', 'a', 'a', 'e']})\n",
-    "gdf['grade'] = gdf['grade'].astype('category')\n",
-    "gdf"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>grade</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>b</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>b</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>6</td>\n",
-       "      <td>e</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   id grade\n",
-       "0   1     a\n",
-       "1   2     b\n",
-       "2   3     b\n",
-       "3   4     a\n",
-       "4   5     a\n",
-       "5   6     e"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dgdf = dask_cudf.from_cudf(gdf, npartitions=2)\n",
-    "dgdf.compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Accessing the categories of a column. Note that this is currently not supported in Dask-cuDF."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "StringIndex(['a' 'b' 'e'], dtype='object')"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gdf.grade.cat.categories"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Accessing the underlying code values of each categorical observation."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    0\n",
-       "1    1\n",
-       "2    1\n",
-       "3    0\n",
-       "4    0\n",
-       "5    2\n",
-       "dtype: int8"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gdf.grade.cat.codes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    0\n",
-       "1    1\n",
-       "2    1\n",
-       "3    0\n",
-       "4    0\n",
-       "5    2\n",
-       "dtype: int8"
-      ]
-     },
-     "execution_count": 62,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dgdf.grade.cat.codes.compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Converting Data Representation\n",
-    "--------------------------------"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Pandas"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Converting a cuDF and Dask-cuDF `DataFrame` to a pandas `DataFrame`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "      <th>agg_col1</th>\n",
-       "      <th>agg_col2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>15</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a   b  c  agg_col1  agg_col2\n",
-       "0  0  19  0         1         1\n",
-       "1  1  18  1         0         0\n",
-       "2  2  17  2         1         0\n",
-       "3  3  16  3         0         1\n",
-       "4  4  15  4         1         0"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head().to_pandas()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "      <th>agg_col1</th>\n",
-       "      <th>agg_col2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>15</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a   b  c  agg_col1  agg_col2\n",
-       "0  0  19  0         1         1\n",
-       "1  1  18  1         0         0\n",
-       "2  2  17  2         1         0\n",
-       "3  3  16  3         0         1\n",
-       "4  4  15  4         1         0"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf.compute().head().to_pandas()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Numpy"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Converting a cuDF or Dask-cuDF `DataFrame` to a numpy `ndarray`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[ 0, 19,  0,  1,  1],\n",
-       "       [ 1, 18,  1,  0,  0],\n",
-       "       [ 2, 17,  2,  1,  0],\n",
-       "       [ 3, 16,  3,  0,  1],\n",
-       "       [ 4, 15,  4,  1,  0],\n",
-       "       [ 5, 14,  5,  0,  0],\n",
-       "       [ 6, 13,  6,  1,  1],\n",
-       "       [ 7, 12,  7,  0,  0],\n",
-       "       [ 8, 11,  8,  1,  0],\n",
-       "       [ 9, 10,  9,  0,  1],\n",
-       "       [10,  9, 10,  1,  0],\n",
-       "       [11,  8, 11,  0,  0],\n",
-       "       [12,  7, 12,  1,  1],\n",
-       "       [13,  6, 13,  0,  0],\n",
-       "       [14,  5, 14,  1,  0],\n",
-       "       [15,  4, 15,  0,  1],\n",
-       "       [16,  3, 16,  1,  0],\n",
-       "       [17,  2, 17,  0,  0],\n",
-       "       [18,  1, 18,  1,  1],\n",
-       "       [19,  0, 19,  0,  0]])"
-      ]
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.as_matrix()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[ 0, 19,  0,  1,  1],\n",
-       "       [ 1, 18,  1,  0,  0],\n",
-       "       [ 2, 17,  2,  1,  0],\n",
-       "       [ 3, 16,  3,  0,  1],\n",
-       "       [ 4, 15,  4,  1,  0],\n",
-       "       [ 5, 14,  5,  0,  0],\n",
-       "       [ 6, 13,  6,  1,  1],\n",
-       "       [ 7, 12,  7,  0,  0],\n",
-       "       [ 8, 11,  8,  1,  0],\n",
-       "       [ 9, 10,  9,  0,  1],\n",
-       "       [10,  9, 10,  1,  0],\n",
-       "       [11,  8, 11,  0,  0],\n",
-       "       [12,  7, 12,  1,  1],\n",
-       "       [13,  6, 13,  0,  0],\n",
-       "       [14,  5, 14,  1,  0],\n",
-       "       [15,  4, 15,  0,  1],\n",
-       "       [16,  3, 16,  1,  0],\n",
-       "       [17,  2, 17,  0,  0],\n",
-       "       [18,  1, 18,  1,  1],\n",
-       "       [19,  0, 19,  0,  0]])"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf.compute().as_matrix()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Converting a cuDF or Dask-cuDF `Series` to a numpy `ndarray`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
-       "       17, 18, 19])"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['a'].to_array()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
-       "       17, 18, 19])"
-      ]
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf['a'].compute().to_array()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Arrow"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Converting a cuDF or Dask-cuDF `DataFrame` to a PyArrow `Table`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "pyarrow.Table\n",
-       "a: int64\n",
-       "b: int64\n",
-       "c: int64\n",
-       "agg_col1: int64\n",
-       "agg_col2: int64\n",
-       "metadata\n",
-       "--------\n",
-       "{b'pandas': b'{\"index_columns\": [{\"kind\": \"range\", \"name\": null, \"start\": 0, \"'\n",
-       "            b'stop\": 20, \"step\": 1}], \"column_indexes\": [{\"name\": null, \"field'\n",
-       "            b'_name\": null, \"pandas_type\": \"unicode\", \"numpy_type\": \"object\", '\n",
-       "            b'\"metadata\": {\"encoding\": \"UTF-8\"}}], \"columns\": [{\"name\": \"a\", \"'\n",
-       "            b'field_name\": \"a\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\",'\n",
-       "            b' \"metadata\": null}, {\"name\": \"b\", \"field_name\": \"b\", \"pandas_typ'\n",
-       "            b'e\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": '\n",
-       "            b'\"c\", \"field_name\": \"c\", \"pandas_type\": \"int64\", \"numpy_type\": \"i'\n",
-       "            b'nt64\", \"metadata\": null}, {\"name\": \"agg_col1\", \"field_name\": \"ag'\n",
-       "            b'g_col1\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadat'\n",
-       "            b'a\": null}, {\"name\": \"agg_col2\", \"field_name\": \"agg_col2\", \"panda'\n",
-       "            b's_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}], \"cr'\n",
-       "            b'eator\": {\"library\": \"pyarrow\", \"version\": \"0.15.0\"}, \"pandas_ver'\n",
-       "            b'sion\": \"0.25.3\"}'}"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.to_arrow()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "pyarrow.Table\n",
-       "a: int64\n",
-       "b: int64\n",
-       "c: int64\n",
-       "agg_col1: int64\n",
-       "agg_col2: int64\n",
-       "__index_level_0__: int64\n",
-       "metadata\n",
-       "--------\n",
-       "{b'pandas': b'{\"index_columns\": [\"__index_level_0__\"], \"column_indexes\": [{\"na'\n",
-       "            b'me\": null, \"field_name\": null, \"pandas_type\": \"unicode\", \"numpy_'\n",
-       "            b'type\": \"object\", \"metadata\": {\"encoding\": \"UTF-8\"}}], \"columns\":'\n",
-       "            b' [{\"name\": \"a\", \"field_name\": \"a\", \"pandas_type\": \"int64\", \"nump'\n",
-       "            b'y_type\": \"int64\", \"metadata\": null}, {\"name\": \"b\", \"field_name\":'\n",
-       "            b' \"b\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\":'\n",
-       "            b' null}, {\"name\": \"c\", \"field_name\": \"c\", \"pandas_type\": \"int64\",'\n",
-       "            b' \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"agg_col1\", '\n",
-       "            b'\"field_name\": \"agg_col1\", \"pandas_type\": \"int64\", \"numpy_type\": '\n",
-       "            b'\"int64\", \"metadata\": null}, {\"name\": \"agg_col2\", \"field_name\": \"'\n",
-       "            b'agg_col2\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metad'\n",
-       "            b'ata\": null}, {\"name\": null, \"field_name\": \"__index_level_0__\", \"'\n",
-       "            b'pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}]'\n",
-       "            b', \"creator\": {\"library\": \"pyarrow\", \"version\": \"0.15.0\"}, \"panda'\n",
-       "            b's_version\": \"0.25.3\"}'}"
-      ]
-     },
-     "execution_count": 70,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf.compute().to_arrow()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Getting Data In/Out\n",
-    "------------------------\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## CSV"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Writing to a CSV file."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "if not os.path.exists('example_output'):\n",
-    "    os.mkdir('example_output')\n",
-    "    \n",
-    "df.to_csv('example_output/foo.csv', index=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ddf.compute().to_csv('example_output/foo_dask.csv', index=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Reading from a csv file."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "      <th>agg_col1</th>\n",
-       "      <th>agg_col2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>15</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>5</td>\n",
-       "      <td>14</td>\n",
-       "      <td>5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>6</td>\n",
-       "      <td>13</td>\n",
-       "      <td>6</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>7</td>\n",
-       "      <td>12</td>\n",
-       "      <td>7</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>8</td>\n",
-       "      <td>11</td>\n",
-       "      <td>8</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>9</td>\n",
-       "      <td>10</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>10</td>\n",
-       "      <td>9</td>\n",
-       "      <td>10</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>11</td>\n",
-       "      <td>8</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>12</td>\n",
-       "      <td>7</td>\n",
-       "      <td>12</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>13</td>\n",
-       "      <td>6</td>\n",
-       "      <td>13</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>14</td>\n",
-       "      <td>5</td>\n",
-       "      <td>14</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>15</td>\n",
-       "      <td>4</td>\n",
-       "      <td>15</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     a   b   c  agg_col1  agg_col2\n",
-       "0    0  19   0         1         1\n",
-       "1    1  18   1         0         0\n",
-       "2    2  17   2         1         0\n",
-       "3    3  16   3         0         1\n",
-       "4    4  15   4         1         0\n",
-       "5    5  14   5         0         0\n",
-       "6    6  13   6         1         1\n",
-       "7    7  12   7         0         0\n",
-       "8    8  11   8         1         0\n",
-       "9    9  10   9         0         1\n",
-       "10  10   9  10         1         0\n",
-       "11  11   8  11         0         0\n",
-       "12  12   7  12         1         1\n",
-       "13  13   6  13         0         0\n",
-       "14  14   5  14         1         0\n",
-       "15  15   4  15         0         1\n",
-       "16  16   3  16         1         0\n",
-       "17  17   2  17         0         0\n",
-       "18  18   1  18         1         1\n",
-       "19  19   0  19         0         0"
-      ]
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = cudf.read_csv('example_output/foo.csv')\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "      <th>agg_col1</th>\n",
-       "      <th>agg_col2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>15</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>5</td>\n",
-       "      <td>14</td>\n",
-       "      <td>5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>6</td>\n",
-       "      <td>13</td>\n",
-       "      <td>6</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>7</td>\n",
-       "      <td>12</td>\n",
-       "      <td>7</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>8</td>\n",
-       "      <td>11</td>\n",
-       "      <td>8</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>9</td>\n",
-       "      <td>10</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>10</td>\n",
-       "      <td>9</td>\n",
-       "      <td>10</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>11</td>\n",
-       "      <td>8</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>12</td>\n",
-       "      <td>7</td>\n",
-       "      <td>12</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>13</td>\n",
-       "      <td>6</td>\n",
-       "      <td>13</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>14</td>\n",
-       "      <td>5</td>\n",
-       "      <td>14</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>15</td>\n",
-       "      <td>4</td>\n",
-       "      <td>15</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     a   b   c  agg_col1  agg_col2\n",
-       "0    0  19   0         1         1\n",
-       "1    1  18   1         0         0\n",
-       "2    2  17   2         1         0\n",
-       "3    3  16   3         0         1\n",
-       "4    4  15   4         1         0\n",
-       "5    5  14   5         0         0\n",
-       "6    6  13   6         1         1\n",
-       "7    7  12   7         0         0\n",
-       "8    8  11   8         1         0\n",
-       "9    9  10   9         0         1\n",
-       "10  10   9  10         1         0\n",
-       "11  11   8  11         0         0\n",
-       "12  12   7  12         1         1\n",
-       "13  13   6  13         0         0\n",
-       "14  14   5  14         1         0\n",
-       "15  15   4  15         0         1\n",
-       "16  16   3  16         1         0\n",
-       "17  17   2  17         0         0\n",
-       "18  18   1  18         1         1\n",
-       "19  19   0  19         0         0"
-      ]
-     },
-     "execution_count": 74,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf = dask_cudf.read_csv('example_output/foo_dask.csv')\n",
-    "ddf.compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Reading all CSV files in a directory into a single `dask_cudf.DataFrame`, using the star wildcard."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
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-       "      <th></th>\n",
-       "      <th>a</th>\n",
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-       "      <th>agg_col1</th>\n",
-       "      <th>agg_col2</th>\n",
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-       "      <td>0</td>\n",
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-       "      <td>1</td>\n",
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-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>16</td>\n",
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-       "      <td>16</td>\n",
-       "      <td>1</td>\n",
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-       "    <tr>\n",
-       "      <th>17</th>\n",
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-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
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-       "      <td>1</td>\n",
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-       "      <td>0</td>\n",
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-       "      <td>1</td>\n",
-       "    </tr>\n",
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-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
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-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     a   b   c  agg_col1  agg_col2\n",
-       "0    0  19   0         1         1\n",
-       "1    1  18   1         0         0\n",
-       "2    2  17   2         1         0\n",
-       "3    3  16   3         0         1\n",
-       "4    4  15   4         1         0\n",
-       "5    5  14   5         0         0\n",
-       "6    6  13   6         1         1\n",
-       "7    7  12   7         0         0\n",
-       "8    8  11   8         1         0\n",
-       "9    9  10   9         0         1\n",
-       "10  10   9  10         1         0\n",
-       "11  11   8  11         0         0\n",
-       "12  12   7  12         1         1\n",
-       "13  13   6  13         0         0\n",
-       "14  14   5  14         1         0\n",
-       "15  15   4  15         0         1\n",
-       "16  16   3  16         1         0\n",
-       "17  17   2  17         0         0\n",
-       "18  18   1  18         1         1\n",
-       "19  19   0  19         0         0\n",
-       "0    0  19   0         1         1\n",
-       "1    1  18   1         0         0\n",
-       "2    2  17   2         1         0\n",
-       "3    3  16   3         0         1\n",
-       "4    4  15   4         1         0\n",
-       "5    5  14   5         0         0\n",
-       "6    6  13   6         1         1\n",
-       "7    7  12   7         0         0\n",
-       "8    8  11   8         1         0\n",
-       "9    9  10   9         0         1\n",
-       "10  10   9  10         1         0\n",
-       "11  11   8  11         0         0\n",
-       "12  12   7  12         1         1\n",
-       "13  13   6  13         0         0\n",
-       "14  14   5  14         1         0\n",
-       "15  15   4  15         0         1\n",
-       "16  16   3  16         1         0\n",
-       "17  17   2  17         0         0\n",
-       "18  18   1  18         1         1\n",
-       "19  19   0  19         0         0"
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf = dask_cudf.read_csv('example_output/*.csv')\n",
-    "ddf.compute()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Parquet"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Writing to parquet files, using the CPU via PyArrow."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.to_parquet('example_output/temp_parquet')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Reading parquet files with a GPU-accelerated parquet reader."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "metadata": {},
-   "outputs": [
-    {
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-       "      <th>10</th>\n",
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-       "      <td>9</td>\n",
-       "      <td>10</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
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-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>11</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>12</td>\n",
-       "      <td>7</td>\n",
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-       "      <td>1</td>\n",
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-       "      <th>13</th>\n",
-       "      <td>13</td>\n",
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-       "      <td>0</td>\n",
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-       "      <th>14</th>\n",
-       "      <td>14</td>\n",
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-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
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-       "      <th>15</th>\n",
-       "      <td>15</td>\n",
-       "      <td>4</td>\n",
-       "      <td>15</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>16</td>\n",
-       "      <td>3</td>\n",
-       "      <td>16</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>17</td>\n",
-       "      <td>2</td>\n",
-       "      <td>17</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
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-       "      <td>1</td>\n",
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-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
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-       "    <tr>\n",
-       "      <th>19</th>\n",
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-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     a   b   c  agg_col1  agg_col2\n",
-       "0    0  19   0         1         1\n",
-       "1    1  18   1         0         0\n",
-       "2    2  17   2         1         0\n",
-       "3    3  16   3         0         1\n",
-       "4    4  15   4         1         0\n",
-       "5    5  14   5         0         0\n",
-       "6    6  13   6         1         1\n",
-       "7    7  12   7         0         0\n",
-       "8    8  11   8         1         0\n",
-       "9    9  10   9         0         1\n",
-       "10  10   9  10         1         0\n",
-       "11  11   8  11         0         0\n",
-       "12  12   7  12         1         1\n",
-       "13  13   6  13         0         0\n",
-       "14  14   5  14         1         0\n",
-       "15  15   4  15         0         1\n",
-       "16  16   3  16         1         0\n",
-       "17  17   2  17         0         0\n",
-       "18  18   1  18         1         1\n",
-       "19  19   0  19         0         0"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = cudf.read_parquet('example_output/temp_parquet')\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Writing to parquet files from a `dask_cudf.DataFrame` using PyArrow under the hood."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ddf.to_parquet('example_files')  "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## ORC"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Reading ORC files."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 79,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <td>chani</td>\n",
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-       "      <td>1</td>\n",
-       "      <td>mauddib</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
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-       "</div>"
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-      "text/plain": [
-       "   boolean1  byte1  short1   int1                long1  float1  double1  \\\n",
-       "0     False      1    1024  65536  9223372036854775807     1.0    -15.0   \n",
-       "1      True    100    2048  65536  9223372036854775807     2.0     -5.0   \n",
-       "\n",
-       "  bytes1 string1  middle.list.int1 middle.list.string1  list.int1  \\\n",
-       "0  \u0000\u0001\u0002\u0003\u0004      hi                 3                 bye          4   \n",
-       "1            bye                 0                 bye          0   \n",
-       "\n",
-       "  list.string1      map  map.int1 map.string1  \n",
-       "0                 chani         5       chani  \n",
-       "1               mauddib         1     mauddib  "
-      ]
-     },
-     "execution_count": 79,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df2 = cudf.read_orc('/rapids/cudf/python/cudf/cudf/tests/data/orc/TestOrcFile.test1.orc')\n",
-    "df2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Dask Performance Tips\n",
-    "--------------------------------\n",
-    "\n",
-    "Like Apache Spark, Dask operations are [lazy](https://en.wikipedia.org/wiki/Lazy_evaluation). Instead of being executed at that moment, most operations are added to a task graph and the actual evaluation is delayed until the result is needed.\n",
-    "\n",
-    "Sometimes, though, we want to force the execution of operations. Calling `persist` on a Dask collection fully computes it (or actively computes it in the background), persisting the result into memory. When we're using distributed systems, we may want to wait until `persist` is finished before beginning any downstream operations. We can enforce this contract by using `wait`. Wrapping an operation with `wait` will ensure it doesn't begin executing until all necessary upstream operations have finished.\n",
-    "\n",
-    "The snippets below provide basic examples, using `LocalCUDACluster` to create one dask-worker per GPU on the local machine. For more detailed information about `persist` and `wait`, please see the Dask documentation for [persist](https://docs.dask.org/en/latest/api.html#dask.persist) and [wait](https://docs.dask.org/en/latest/futures.html#distributed.wait). Wait relies on the concept of Futures, which is beyond the scope of this tutorial. For more information on Futures, see the Dask [Futures](https://docs.dask.org/en/latest/futures.html) documentation. For more information about multi-GPU clusters, please see the [dask-cuda](https://github.com/rapidsai/dask-cuda) library (documentation is in progress)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "First, we set up a GPU cluster. With our `client` set up, Dask-cuDF computation will be distributed across the GPUs in the cluster."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<table style=\"border: 2px solid white;\">\n",
-       "<tr>\n",
-       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
-       "<h3 style=\"text-align: left;\">Client</h3>\n",
-       "<ul style=\"text-align: left; list-style: none; margin: 0; padding: 0;\">\n",
-       "  <li><b>Scheduler: </b>tcp://127.0.0.1:37255</li>\n",
-       "  <li><b>Dashboard: </b><a href='http://127.0.0.1:8787/status' target='_blank'>http://127.0.0.1:8787/status</a></li>\n",
-       "</ul>\n",
-       "</td>\n",
-       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
-       "<h3 style=\"text-align: left;\">Cluster</h3>\n",
-       "<ul style=\"text-align: left; list-style:none; margin: 0; padding: 0;\">\n",
-       "  <li><b>Workers: </b>4</li>\n",
-       "  <li><b>Cores: </b>4</li>\n",
-       "  <li><b>Memory: </b>404.32 GB</li>\n",
-       "</ul>\n",
-       "</td>\n",
-       "</tr>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "<Client: 'tcp://127.0.0.1:37255' processes=4 threads=4, memory=404.32 GB>"
-      ]
-     },
-     "execution_count": 80,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import time\n",
-    "\n",
-    "from dask.distributed import Client, wait\n",
-    "from dask_cuda import LocalCUDACluster\n",
-    "\n",
-    "cluster = LocalCUDACluster()\n",
-    "client = Client(cluster)\n",
-    "client"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Persisting Data\n",
-    "Next, we create our Dask-cuDF DataFrame and apply a transformation, storing the result as a new column."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>npartitions=5</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>int64</td>\n",
-       "      <td>int64</td>\n",
-       "      <td>int64</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2000000</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8000000</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9999999</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>\n",
-       "<div>Dask Name: assign, 20 tasks</div>"
-      ],
-      "text/plain": [
-       "<dask_cudf.DataFrame | 20 tasks | 5 npartitions>"
-      ]
-     },
-     "execution_count": 81,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "nrows = 10000000\n",
-    "\n",
-    "df2 = cudf.DataFrame({'a': cp.arange(nrows), 'b': cp.arange(nrows)})\n",
-    "ddf2 = dask_cudf.from_cudf(df2, npartitions=5)\n",
-    "ddf2['c'] = ddf2['a'] + 5\n",
-    "ddf2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Thu Jun  4 05:36:08 2020       \n",
-      "+-----------------------------------------------------------------------------+\n",
-      "| NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |\n",
-      "|-------------------------------+----------------------+----------------------+\n",
-      "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
-      "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
-      "|===============================+======================+======================|\n",
-      "|   0  Tesla T4            On   | 00000000:3B:00.0 Off |                    0 |\n",
-      "| N/A   38C    P0    27W /  70W |    743MiB / 15109MiB |      2%      Default |\n",
-      "+-------------------------------+----------------------+----------------------+\n",
-      "|   1  Tesla T4            On   | 00000000:5E:00.0 Off |                    0 |\n",
-      "| N/A   41C    P0    26W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
-      "+-------------------------------+----------------------+----------------------+\n",
-      "|   2  Tesla T4            On   | 00000000:AF:00.0 Off |                    0 |\n",
-      "| N/A   35C    P0    27W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
-      "+-------------------------------+----------------------+----------------------+\n",
-      "|   3  Tesla T4            On   | 00000000:D8:00.0 Off |                    0 |\n",
-      "| N/A   34C    P0    27W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
-      "+-------------------------------+----------------------+----------------------+\n",
-      "                                                                               \n",
-      "+-----------------------------------------------------------------------------+\n",
-      "| Processes:                                                       GPU Memory |\n",
-      "|  GPU       PID   Type   Process name                             Usage      |\n",
-      "|=============================================================================|\n",
-      "|    0     57229      C   ...sets/pgali/envs/new_cudf_env/bin/python   633MiB |\n",
-      "|    0     57341      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
-      "|    1     57337      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
-      "|    2     57336      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
-      "|    3     57335      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
-      "+-----------------------------------------------------------------------------+\n"
-     ]
-    }
-   ],
-   "source": [
-    "!nvidia-smi"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Because Dask is lazy, the computation has not yet occurred. We can see that there are twenty tasks in the task graph and we've used about 800 MB of memory. We can force computation by using `persist`. By forcing execution, the result is now explicitly in memory and our task graph only contains one task per partition (the baseline)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 83,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>npartitions=5</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>int64</td>\n",
-       "      <td>int64</td>\n",
-       "      <td>int64</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2000000</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8000000</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9999999</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>\n",
-       "<div>Dask Name: assign, 5 tasks</div>"
-      ],
-      "text/plain": [
-       "<dask_cudf.DataFrame | 5 tasks | 5 npartitions>"
-      ]
-     },
-     "execution_count": 83,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ddf2 = ddf2.persist()\n",
-    "ddf2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Thu Jun  4 05:36:09 2020       \n",
-      "+-----------------------------------------------------------------------------+\n",
-      "| NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |\n",
-      "|-------------------------------+----------------------+----------------------+\n",
-      "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
-      "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
-      "|===============================+======================+======================|\n",
-      "|   0  Tesla T4            On   | 00000000:3B:00.0 Off |                    0 |\n",
-      "| N/A   38C    P0    27W /  70W |    743MiB / 15109MiB |      0%      Default |\n",
-      "+-------------------------------+----------------------+----------------------+\n",
-      "|   1  Tesla T4            On   | 00000000:5E:00.0 Off |                    0 |\n",
-      "| N/A   42C    P0    26W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
-      "+-------------------------------+----------------------+----------------------+\n",
-      "|   2  Tesla T4            On   | 00000000:AF:00.0 Off |                    0 |\n",
-      "| N/A   35C    P0    27W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
-      "+-------------------------------+----------------------+----------------------+\n",
-      "|   3  Tesla T4            On   | 00000000:D8:00.0 Off |                    0 |\n",
-      "| N/A   34C    P0    27W /  70W |    110MiB / 15109MiB |      0%      Default |\n",
-      "+-------------------------------+----------------------+----------------------+\n",
-      "                                                                               \n",
-      "+-----------------------------------------------------------------------------+\n",
-      "| Processes:                                                       GPU Memory |\n",
-      "|  GPU       PID   Type   Process name                             Usage      |\n",
-      "|=============================================================================|\n",
-      "|    0     57229      C   ...sets/pgali/envs/new_cudf_env/bin/python   633MiB |\n",
-      "|    0     57341      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
-      "|    1     57337      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
-      "|    2     57336      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
-      "|    3     57335      C   ...sets/pgali/envs/new_cudf_env/bin/python    99MiB |\n",
-      "+-----------------------------------------------------------------------------+\n"
-     ]
-    }
-   ],
-   "source": [
-    "!nvidia-smi"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Because we forced computation, we now have a larger object in distributed GPU memory."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Wait\n",
-    "Depending on our workflow or distributed computing setup, we may want to `wait` until all upstream tasks have finished before proceeding with a specific function. This section shows an example of this behavior, adapted from the Dask documentation.\n",
-    "\n",
-    "First, we create a new Dask DataFrame and define a function that we'll map to every partition in the dataframe."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 85,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "nrows = 10000000\n",
-    "\n",
-    "df1 = cudf.DataFrame({'a': cp.arange(nrows), 'b': cp.arange(nrows)})\n",
-    "ddf1 = dask_cudf.from_cudf(df1, npartitions=100)\n",
-    "\n",
-    "def func(df):\n",
-    "    time.sleep(cp.random.randint(1, 60))\n",
-    "    return (df + 5) * 3 - 11"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This function will do a basic transformation of every column in the dataframe, but the time spent in the function will vary due to the `time.sleep` statement randomly adding 1-60 seconds of time. We'll run this on every partition of our dataframe using `map_partitions`, which adds the task to our task-graph, and store the result. We can then call `persist` to force execution."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_ddf = ddf2.map_partitions(func)\n",
-    "results_ddf = results_ddf.persist()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "However, some partitions will be done **much** sooner than others. If we had downstream processes that should wait for all partitions to be completed, we can enforce that behavior using `wait`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "DoneAndNotDoneFutures(done={<Future: finished, type: cudf.DataFrame, key: ('func-9bb5c8a87fdfc7be52f8be0d02f5d274', 2)>, <Future: finished, type: cudf.DataFrame, key: ('func-9bb5c8a87fdfc7be52f8be0d02f5d274', 3)>, <Future: finished, type: cudf.DataFrame, key: ('func-9bb5c8a87fdfc7be52f8be0d02f5d274', 4)>, <Future: finished, type: cudf.DataFrame, key: ('func-9bb5c8a87fdfc7be52f8be0d02f5d274', 0)>, <Future: finished, type: cudf.DataFrame, key: ('func-9bb5c8a87fdfc7be52f8be0d02f5d274', 1)>}, not_done=set())"
-      ]
-     },
-     "execution_count": 87,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "wait(results_ddf)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "With `wait`, we can safely proceed on in our workflow."
-   ]
-  }
- ],
- "metadata": {
-  "anaconda-cloud": {},
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.6"
-  },
-  "toc": {
-   "base_numbering": 1,
-   "nav_menu": {},
-   "number_sections": true,
-   "sideBar": true,
-   "skip_h1_title": false,
-   "title_cell": "Table of Contents",
-   "title_sidebar": "Contents",
-   "toc_cell": false,
-   "toc_position": {},
-   "toc_section_display": true,
-   "toc_window_display": false
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/cudf/source/Working-with-missing-data.ipynb b/docs/cudf/source/Working-with-missing-data.ipynb
deleted file mode 100644
index 54fe774060e..00000000000
--- a/docs/cudf/source/Working-with-missing-data.ipynb
+++ /dev/null
@@ -1,3466 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Working with missing data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In this section, we will discuss missing (also referred to as `NA`) values in cudf. cudf supports having missing values in all dtypes. These missing values are represented by `<NA>`. These values are also referenced as \"null values\"."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "1. [How to Detect missing values](#How-to-Detect-missing-values)\n",
-    "2. [Float dtypes and missing data](#Float-dtypes-and-missing-data)\n",
-    "3. [Datetimes](#Datetimes)\n",
-    "4. [Calculations with missing data](#Calculations-with-missing-data)\n",
-    "5. [Sum/product of Null/nans](#Sum/product-of-Null/nans)\n",
-    "6. [NA values in GroupBy](#NA-values-in-GroupBy)\n",
-    "7. [Inserting missing data](#Inserting-missing-data)\n",
-    "8. [Filling missing values: fillna](#Filling-missing-values:-fillna)\n",
-    "9. [Filling with cudf Object](#Filling-with-cudf-Object)\n",
-    "10. [Dropping axis labels with missing data: dropna](#Dropping-axis-labels-with-missing-data:-dropna)\n",
-    "11. [Replacing generic values](#Replacing-generic-values)\n",
-    "12. [String/regular expression replacement](#String/regular-expression-replacement)\n",
-    "13. [Numeric replacement](#Numeric-replacement)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## How to Detect missing values"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To detect missing values, you can use `isna()` and `notna()` functions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import cudf\n",
-    "import numpy as np"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = cudf.DataFrame({'a': [1, 2, None, 4], 'b':[0.1, None, 2.3, 17.17]})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>2.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>17.17</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      a      b\n",
-       "0     1    0.1\n",
-       "1     2   <NA>\n",
-       "2  <NA>    2.3\n",
-       "3     4  17.17"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>True</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       a      b\n",
-       "0  False  False\n",
-       "1  False   True\n",
-       "2   True  False\n",
-       "3  False  False"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.isna()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0     True\n",
-       "1     True\n",
-       "2    False\n",
-       "3     True\n",
-       "Name: a, dtype: bool"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['a'].notna()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One has to be mindful that in Python (and NumPy), the nan's don’t compare equal, but None's do. Note that cudf/NumPy uses the fact that `np.nan != np.nan`, and treats `None` like `np.nan`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "None == None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "np.nan == np.nan"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So as compared to above, a scalar equality comparison versus a None/np.nan doesn’t provide useful information.\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    False\n",
-       "1    False\n",
-       "2    False\n",
-       "3    False\n",
-       "Name: b, dtype: bool"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['b'] == np.nan"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "s = cudf.Series([None, 1, 2])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    <NA>\n",
-       "1       1\n",
-       "2       2\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    False\n",
-       "1    False\n",
-       "2    False\n",
-       "dtype: bool"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s == None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "s = cudf.Series([1, 2, np.nan], nan_as_null=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    1.0\n",
-       "1    2.0\n",
-       "2    NaN\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    False\n",
-       "1    False\n",
-       "2    False\n",
-       "dtype: bool"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s == np.nan"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Float dtypes and missing data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Because ``NaN`` is a float, a column of integers with even one missing values is cast to floating-point dtype. However this doesn't happen by default.\n",
-    "\n",
-    "By default if a ``NaN`` value is passed to `Series` constructor, it is treated as `<NA>` value. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1       2\n",
-       "2    <NA>\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cudf.Series([1, 2, np.nan])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Hence to consider a ``NaN`` as ``NaN`` you will have to pass `nan_as_null=False` parameter into `Series` constructor."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    1.0\n",
-       "1    2.0\n",
-       "2    NaN\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cudf.Series([1, 2, np.nan], nan_as_null=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Datetimes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For `datetime64` types, cudf doesn't support having `NaT` values. Instead these values which are specific to numpy and pandas are considered as null values(`<NA>`) in cudf. The actual underlying value of `NaT` is `min(int64)` and cudf retains the underlying value when converting a cudf object to pandas object.\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    2012-01-01 00:00:00.000000\n",
-       "1                          <NA>\n",
-       "2    2012-01-01 00:00:00.000000\n",
-       "dtype: datetime64[us]"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "datetime_series = cudf.Series([pd.Timestamp(\"20120101\"), pd.NaT, pd.Timestamp(\"20120101\")])\n",
-    "datetime_series"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0   2012-01-01\n",
-       "1          NaT\n",
-       "2   2012-01-01\n",
-       "dtype: datetime64[ns]"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "datetime_series.to_pandas()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "any operations on rows having `<NA>` values in `datetime` column will result in `<NA>` value at the same location in resulting column:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    0 days 00:00:00\n",
-       "1               <NA>\n",
-       "2    0 days 00:00:00\n",
-       "dtype: timedelta64[us]"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "datetime_series - datetime_series"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Calculations with missing data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Null values propagate naturally through arithmetic operations between pandas objects."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df1 = cudf.DataFrame({'a':[1, None, 2, 3, None], 'b':cudf.Series([np.nan, 2, 3.2, 0.1, 1], nan_as_null=False)})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df2 = cudf.DataFrame({'a':[1, 11, 2, 34, 10], 'b':cudf.Series([0.23, 22, 3.2, None, 1])})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>0.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      a    b\n",
-       "0     1  NaN\n",
-       "1  <NA>  2.0\n",
-       "2     2  3.2\n",
-       "3     3  0.1\n",
-       "4  <NA>  1.0"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.23</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>11</td>\n",
-       "      <td>22.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>34</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>10</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    a     b\n",
-       "0   1  0.23\n",
-       "1  11  22.0\n",
-       "2   2   3.2\n",
-       "3  34  <NA>\n",
-       "4  10   1.0"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>24.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>4</td>\n",
-       "      <td>6.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>37</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      a     b\n",
-       "0     2   NaN\n",
-       "1  <NA>  24.0\n",
-       "2     4   6.4\n",
-       "3    37  <NA>\n",
-       "4  <NA>   2.0"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1 + df2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "While summing the data along a series, `NA` values will be treated as `0`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1    <NA>\n",
-       "2       2\n",
-       "3       3\n",
-       "4    <NA>\n",
-       "Name: a, dtype: int64"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1['a']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1['a'].sum()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Since `NA` values are treated as `0`, the mean would result to 2 in this case `(1 + 0 + 2 + 3 + 0)/5 = 2`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2.0"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1['a'].mean()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To preserve `NA` values in the above calculations, `sum` & `mean` support `skipna` parameter.\n",
-    "By default it's value is\n",
-    "set to `True`, we can change it to `False` to preserve `NA` values."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "nan"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1['a'].sum(skipna=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "nan"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1['a'].mean(skipna=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Cumulative methods like `cumsum` and `cumprod` ignore `NA` values by default."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1    <NA>\n",
-       "2       3\n",
-       "3       6\n",
-       "4    <NA>\n",
-       "Name: a, dtype: int64"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1['a'].cumsum()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To preserve `NA` values in cumulative methods, provide `skipna=False`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1    <NA>\n",
-       "2    <NA>\n",
-       "3    <NA>\n",
-       "4    <NA>\n",
-       "Name: a, dtype: int64"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1['a'].cumsum(skipna=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Sum/product of Null/nans"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The sum of an empty or all-NA Series of a DataFrame is 0."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.0"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cudf.Series([np.nan], nan_as_null=False).sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "nan"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cudf.Series([np.nan], nan_as_null=False).sum(skipna=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.0"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cudf.Series([], dtype='float64').sum()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The product of an empty or all-NA Series of a DataFrame is 1."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1.0"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cudf.Series([np.nan], nan_as_null=False).prod()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "nan"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cudf.Series([np.nan], nan_as_null=False).prod(skipna=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1.0"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cudf.Series([], dtype='float64').prod()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## NA values in GroupBy"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "`NA` groups in GroupBy are automatically excluded. For example:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>0.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      a    b\n",
-       "0     1  NaN\n",
-       "1  <NA>  2.0\n",
-       "2     2  3.2\n",
-       "3     3  0.1\n",
-       "4  <NA>  1.0"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>a</th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     b\n",
-       "a     \n",
-       "2  3.2\n",
-       "1  NaN\n",
-       "3  0.1"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1.groupby('a').mean()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "It is also possible to include `NA` in groups by passing `dropna=False`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>a</th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>&lt;NA&gt;</th>\n",
-       "      <td>1.5</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        b\n",
-       "a        \n",
-       "2     3.2\n",
-       "1     NaN\n",
-       "3     0.1\n",
-       "<NA>  1.5"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1.groupby('a', dropna=False).mean()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Inserting missing data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "All dtypes support insertion of missing value by assignment. Any specific location in series can made null by assigning it to `None`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "series = cudf.Series([1, 2, 3, 4])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    1\n",
-       "1    2\n",
-       "2    3\n",
-       "3    4\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "series"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "series[2] = None"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0       1\n",
-       "1       2\n",
-       "2    <NA>\n",
-       "3       4\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "series"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Filling missing values: fillna"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "`fillna()` can fill in `NA` & `NaN` values with non-NA data."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>0.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      a    b\n",
-       "0     1  NaN\n",
-       "1  <NA>  2.0\n",
-       "2     2  3.2\n",
-       "3     3  0.1\n",
-       "4  <NA>  1.0"
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    10.0\n",
-       "1     2.0\n",
-       "2     3.2\n",
-       "3     0.1\n",
-       "4     1.0\n",
-       "Name: b, dtype: float64"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1['b'].fillna(10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Filling with cudf Object"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can also fillna using a dict or Series that is alignable. The labels of the dict or index of the Series must match the columns of the frame you wish to fill. The use case of this is to fill a DataFrame with the mean of that column."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import cupy as cp\n",
-    "dff = cudf.DataFrame(cp.random.randn(10, 3), columns=list('ABC'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dff.iloc[3:5, 0] = np.nan"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dff.iloc[4:6, 1] = np.nan"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dff.iloc[5:8, 2] = np.nan"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>A</th>\n",
-       "      <th>B</th>\n",
-       "      <th>C</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0.771245</td>\n",
-       "      <td>0.051024</td>\n",
-       "      <td>1.199239</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>-1.168041</td>\n",
-       "      <td>0.702664</td>\n",
-       "      <td>-0.270806</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>-1.467009</td>\n",
-       "      <td>-0.143080</td>\n",
-       "      <td>-0.806151</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.610798</td>\n",
-       "      <td>-0.272895</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1.396784</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>-0.439343</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>1.093102</td>\n",
-       "      <td>-0.764758</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>0.003098</td>\n",
-       "      <td>-0.722648</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>-0.095899</td>\n",
-       "      <td>-1.285156</td>\n",
-       "      <td>-0.300566</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.109465</td>\n",
-       "      <td>2.497843</td>\n",
-       "      <td>-1.199856</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          A         B         C\n",
-       "0  0.771245  0.051024  1.199239\n",
-       "1 -1.168041  0.702664 -0.270806\n",
-       "2 -1.467009 -0.143080 -0.806151\n",
-       "3       NaN -0.610798 -0.272895\n",
-       "4       NaN       NaN  1.396784\n",
-       "5 -0.439343       NaN       NaN\n",
-       "6  1.093102 -0.764758       NaN\n",
-       "7  0.003098 -0.722648       NaN\n",
-       "8 -0.095899 -1.285156 -0.300566\n",
-       "9  0.109465  2.497843 -1.199856"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dff"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<style scoped>\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>A</th>\n",
-       "      <th>B</th>\n",
-       "      <th>C</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0.771245</td>\n",
-       "      <td>0.051024</td>\n",
-       "      <td>1.199239</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>-1.168041</td>\n",
-       "      <td>0.702664</td>\n",
-       "      <td>-0.270806</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>-1.467009</td>\n",
-       "      <td>-0.143080</td>\n",
-       "      <td>-0.806151</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>-0.149173</td>\n",
-       "      <td>-0.610798</td>\n",
-       "      <td>-0.272895</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>-0.149173</td>\n",
-       "      <td>-0.034364</td>\n",
-       "      <td>1.396784</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>-0.439343</td>\n",
-       "      <td>-0.034364</td>\n",
-       "      <td>-0.036322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>1.093102</td>\n",
-       "      <td>-0.764758</td>\n",
-       "      <td>-0.036322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>0.003098</td>\n",
-       "      <td>-0.722648</td>\n",
-       "      <td>-0.036322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>-0.095899</td>\n",
-       "      <td>-1.285156</td>\n",
-       "      <td>-0.300566</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.109465</td>\n",
-       "      <td>2.497843</td>\n",
-       "      <td>-1.199856</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          A         B         C\n",
-       "0  0.771245  0.051024  1.199239\n",
-       "1 -1.168041  0.702664 -0.270806\n",
-       "2 -1.467009 -0.143080 -0.806151\n",
-       "3 -0.149173 -0.610798 -0.272895\n",
-       "4 -0.149173 -0.034364  1.396784\n",
-       "5 -0.439343 -0.034364 -0.036322\n",
-       "6  1.093102 -0.764758 -0.036322\n",
-       "7  0.003098 -0.722648 -0.036322\n",
-       "8 -0.095899 -1.285156 -0.300566\n",
-       "9  0.109465  2.497843 -1.199856"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dff.fillna(dff.mean())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>A</th>\n",
-       "      <th>B</th>\n",
-       "      <th>C</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0.771245</td>\n",
-       "      <td>0.051024</td>\n",
-       "      <td>1.199239</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>-1.168041</td>\n",
-       "      <td>0.702664</td>\n",
-       "      <td>-0.270806</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>-1.467009</td>\n",
-       "      <td>-0.143080</td>\n",
-       "      <td>-0.806151</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.610798</td>\n",
-       "      <td>-0.272895</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.034364</td>\n",
-       "      <td>1.396784</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>-0.439343</td>\n",
-       "      <td>-0.034364</td>\n",
-       "      <td>-0.036322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>1.093102</td>\n",
-       "      <td>-0.764758</td>\n",
-       "      <td>-0.036322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>0.003098</td>\n",
-       "      <td>-0.722648</td>\n",
-       "      <td>-0.036322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>-0.095899</td>\n",
-       "      <td>-1.285156</td>\n",
-       "      <td>-0.300566</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.109465</td>\n",
-       "      <td>2.497843</td>\n",
-       "      <td>-1.199856</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          A         B         C\n",
-       "0  0.771245  0.051024  1.199239\n",
-       "1 -1.168041  0.702664 -0.270806\n",
-       "2 -1.467009 -0.143080 -0.806151\n",
-       "3       NaN -0.610798 -0.272895\n",
-       "4       NaN -0.034364  1.396784\n",
-       "5 -0.439343 -0.034364 -0.036322\n",
-       "6  1.093102 -0.764758 -0.036322\n",
-       "7  0.003098 -0.722648 -0.036322\n",
-       "8 -0.095899 -1.285156 -0.300566\n",
-       "9  0.109465  2.497843 -1.199856"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dff.fillna(dff.mean()[1:3])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Dropping axis labels with missing data: dropna"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Missing data can be excluded using `dropna()`:\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>0.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      a    b\n",
-       "0     1  NaN\n",
-       "1  <NA>  2.0\n",
-       "2     2  3.2\n",
-       "3     3  0.1\n",
-       "4  <NA>  1.0"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>0.1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a    b\n",
-       "2  2  3.2\n",
-       "3  3  0.1"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1.dropna(axis=0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: []\n",
-       "Index: [0, 1, 2, 3, 4]"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1.dropna(axis=1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "An equivalent `dropna()` is available for Series. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    1\n",
-       "2    2\n",
-       "3    3\n",
-       "Name: a, dtype: int64"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df1['a'].dropna()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Replacing generic values"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Often times we want to replace arbitrary values with other values.\n",
-    "\n",
-    "`replace()` in Series and `replace()` in DataFrame provides an efficient yet flexible way to perform such replacements."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "series = cudf.Series([0.0, 1.0, 2.0, 3.0, 4.0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    0.0\n",
-       "1    1.0\n",
-       "2    2.0\n",
-       "3    3.0\n",
-       "4    4.0\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "series"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    5.0\n",
-       "1    1.0\n",
-       "2    2.0\n",
-       "3    3.0\n",
-       "4    4.0\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "series.replace(0, 5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can also replace any value with a `<NA>` value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    <NA>\n",
-       "1     1.0\n",
-       "2     2.0\n",
-       "3     3.0\n",
-       "4     4.0\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "series.replace(0, None)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can replace a list of values by a list of other values:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    4.0\n",
-       "1    3.0\n",
-       "2    2.0\n",
-       "3    1.0\n",
-       "4    0.0\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 62,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "series.replace([0, 1, 2, 3, 4], [4, 3, 2, 1, 0])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can also specify a mapping dict:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0     10.0\n",
-       "1    100.0\n",
-       "2      2.0\n",
-       "3      3.0\n",
-       "4      4.0\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "series.replace({0: 10, 1: 100})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For a DataFrame, you can specify individual values by column:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = cudf.DataFrame({\"a\": [0, 1, 2, 3, 4], \"b\": [5, 6, 7, 8, 9]})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>9</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a  b\n",
-       "0  0  5\n",
-       "1  1  6\n",
-       "2  2  7\n",
-       "3  3  8\n",
-       "4  4  9"
-      ]
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>100</td>\n",
-       "      <td>100</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>9</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     a    b\n",
-       "0  100  100\n",
-       "1    1    6\n",
-       "2    2    7\n",
-       "3    3    8\n",
-       "4    4    9"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.replace({\"a\": 0, \"b\": 5}, 100)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## String/regular expression replacement"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "cudf supports replacing string values using `replace` API:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "d = {\"a\": list(range(4)), \"b\": list(\"ab..\"), \"c\": [\"a\", \"b\", None, \"d\"]}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = cudf.DataFrame(d)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
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-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>a</td>\n",
-       "      <td>a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>b</td>\n",
-       "      <td>b</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>.</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>.</td>\n",
-       "      <td>d</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a  b     c\n",
-       "0  0  a     a\n",
-       "1  1  b     b\n",
-       "2  2  .  <NA>\n",
-       "3  3  .     d"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>a</td>\n",
-       "      <td>a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>b</td>\n",
-       "      <td>b</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>A Dot</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>A Dot</td>\n",
-       "      <td>d</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a      b     c\n",
-       "0  0      a     a\n",
-       "1  1      b     b\n",
-       "2  2  A Dot  <NA>\n",
-       "3  3  A Dot     d"
-      ]
-     },
-     "execution_count": 70,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.replace(\".\", \"A Dot\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>a</td>\n",
-       "      <td>a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>A Dot</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>A Dot</td>\n",
-       "      <td>d</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a      b     c\n",
-       "0  0      a     a\n",
-       "1  1   <NA>  <NA>\n",
-       "2  2  A Dot  <NA>\n",
-       "3  3  A Dot     d"
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.replace([\".\", \"b\"], [\"A Dot\", None])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Replace a few different values (list -> list):\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>b</td>\n",
-       "      <td>b</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>b</td>\n",
-       "      <td>b</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>--</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>--</td>\n",
-       "      <td>d</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a   b     c\n",
-       "0  0   b     b\n",
-       "1  1   b     b\n",
-       "2  2  --  <NA>\n",
-       "3  3  --     d"
-      ]
-     },
-     "execution_count": 72,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.replace([\"a\", \".\"], [\"b\", \"--\"])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Only search in column 'b' (dict -> dict):"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>a</td>\n",
-       "      <td>a</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>b</td>\n",
-       "      <td>b</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>replacement value</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>replacement value</td>\n",
-       "      <td>d</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   a                  b     c\n",
-       "0  0                  a     a\n",
-       "1  1                  b     b\n",
-       "2  2  replacement value  <NA>\n",
-       "3  3  replacement value     d"
-      ]
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.replace({\"b\": \".\"}, {\"b\": \"replacement value\"})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Numeric replacement"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "`replace()` can also be used similar to `fillna()`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = cudf.DataFrame(cp.random.randn(10, 2))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df[np.random.rand(df.shape[0]) > 0.5] = 1.5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>0</th>\n",
-       "      <th>1</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.123160746</td>\n",
-       "      <td>1.09464783</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>0.68137677</td>\n",
-       "      <td>-0.357346253</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>1.173285961</td>\n",
-       "      <td>-0.968616065</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.147922362</td>\n",
-       "      <td>-0.154880098</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             0             1\n",
-       "0         <NA>          <NA>\n",
-       "1         <NA>          <NA>\n",
-       "2  0.123160746    1.09464783\n",
-       "3         <NA>          <NA>\n",
-       "4         <NA>          <NA>\n",
-       "5   0.68137677  -0.357346253\n",
-       "6         <NA>          <NA>\n",
-       "7         <NA>          <NA>\n",
-       "8  1.173285961  -0.968616065\n",
-       "9  0.147922362  -0.154880098"
-      ]
-     },
-     "execution_count": 76,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.replace(1.5, None)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Replacing more than one value is possible by passing a list.\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df00 = df.iloc[0, 0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>0</th>\n",
-       "      <th>1</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>5.000000</td>\n",
-       "      <td>5.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>5.000000</td>\n",
-       "      <td>5.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.123161</td>\n",
-       "      <td>1.094648</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>5.000000</td>\n",
-       "      <td>5.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5.000000</td>\n",
-       "      <td>5.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>0.681377</td>\n",
-       "      <td>-0.357346</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>5.000000</td>\n",
-       "      <td>5.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>5.000000</td>\n",
-       "      <td>5.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>1.173286</td>\n",
-       "      <td>-0.968616</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.147922</td>\n",
-       "      <td>-0.154880</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          0         1\n",
-       "0  5.000000  5.000000\n",
-       "1  5.000000  5.000000\n",
-       "2  0.123161  1.094648\n",
-       "3  5.000000  5.000000\n",
-       "4  5.000000  5.000000\n",
-       "5  0.681377 -0.357346\n",
-       "6  5.000000  5.000000\n",
-       "7  5.000000  5.000000\n",
-       "8  1.173286 -0.968616\n",
-       "9  0.147922 -0.154880"
-      ]
-     },
-     "execution_count": 78,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.replace([1.5, df00], [5, 10])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can also operate on the DataFrame in place:\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 79,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.replace(1.5, None, inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>0</th>\n",
-       "      <th>1</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.123160746</td>\n",
-       "      <td>1.09464783</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>0.68137677</td>\n",
-       "      <td>-0.357346253</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "      <td>&lt;NA&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>1.173285961</td>\n",
-       "      <td>-0.968616065</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>0.147922362</td>\n",
-       "      <td>-0.154880098</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             0             1\n",
-       "0         <NA>          <NA>\n",
-       "1         <NA>          <NA>\n",
-       "2  0.123160746    1.09464783\n",
-       "3         <NA>          <NA>\n",
-       "4         <NA>          <NA>\n",
-       "5   0.68137677  -0.357346253\n",
-       "6         <NA>          <NA>\n",
-       "7         <NA>          <NA>\n",
-       "8  1.173285961  -0.968616065\n",
-       "9  0.147922362  -0.154880098"
-      ]
-     },
-     "execution_count": 80,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.9"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/cudf/source/api.rst b/docs/cudf/source/api.rst
deleted file mode 100644
index bc227364351..00000000000
--- a/docs/cudf/source/api.rst
+++ /dev/null
@@ -1,22 +0,0 @@
-***************************************
-API documentation and generated content
-***************************************
-
-This page contains general code elements that are common
-for package documentation.
-
-Autosummary table and API stub pages
-====================================
-
-.. autosummary::
-   :toctree:
-
-   pandas.DataFrame.drop
-   cudf.DataFrame.drop
-   pandas.DataFrame.groupby
-   cudf.DataFrame.where
-
-.. autosummary::
-   :toctree: generated/
-
-   pandas.Series.array
diff --git a/docs/cudf/source/api_docs/window.rst b/docs/cudf/source/api_docs/window.rst
new file mode 100644
index 00000000000..6fd8eb0d5f6
--- /dev/null
+++ b/docs/cudf/source/api_docs/window.rst
@@ -0,0 +1,108 @@
+{{ header }}
+
+.. _api.window:
+
+======
+Window
+======
+
+Rolling objects are returned by ``.rolling`` calls: :func:`pandas.DataFrame.rolling`, :func:`pandas.Series.rolling`, etc.
+Expanding objects are returned by ``.expanding`` calls: :func:`pandas.DataFrame.expanding`, :func:`pandas.Series.expanding`, etc.
+ExponentialMovingWindow objects are returned by ``.ewm`` calls: :func:`pandas.DataFrame.ewm`, :func:`pandas.Series.ewm`, etc.
+
+.. _api.functions_rolling:
+
+Rolling window functions
+------------------------
+.. currentmodule:: pandas.core.window.rolling
+
+.. autosummary::
+   :toctree: api/
+
+   Rolling.count
+   Rolling.sum
+   Rolling.mean
+   Rolling.median
+   Rolling.var
+   Rolling.std
+   Rolling.min
+   Rolling.max
+   Rolling.corr
+   Rolling.cov
+   Rolling.skew
+   Rolling.kurt
+   Rolling.apply
+   Rolling.aggregate
+   Rolling.quantile
+   Rolling.sem
+
+.. _api.functions_window:
+
+Weighted window functions
+-------------------------
+.. currentmodule:: pandas.core.window.rolling
+
+.. autosummary::
+   :toctree: api/
+
+   Window.mean
+   Window.sum
+   Window.var
+   Window.std
+
+.. _api.functions_expanding:
+
+Expanding window functions
+--------------------------
+.. currentmodule:: pandas.core.window.expanding
+
+.. autosummary::
+   :toctree: api/
+
+   Expanding.count
+   Expanding.sum
+   Expanding.mean
+   Expanding.median
+   Expanding.var
+   Expanding.std
+   Expanding.min
+   Expanding.max
+   Expanding.corr
+   Expanding.cov
+   Expanding.skew
+   Expanding.kurt
+   Expanding.apply
+   Expanding.aggregate
+   Expanding.quantile
+   Expanding.sem
+
+.. _api.functions_ewm:
+
+Exponentially-weighted window functions
+---------------------------------------
+.. currentmodule:: pandas.core.window.ewm
+
+.. autosummary::
+   :toctree: api/
+
+   ExponentialMovingWindow.mean
+   ExponentialMovingWindow.std
+   ExponentialMovingWindow.var
+   ExponentialMovingWindow.corr
+   ExponentialMovingWindow.cov
+
+.. _api.indexers_window:
+
+Window indexer
+--------------
+.. currentmodule:: pandas
+
+Base class for defining custom window boundaries.
+
+.. autosummary::
+   :toctree: api/
+
+   api.indexers.BaseIndexer
+   api.indexers.FixedForwardWindowIndexer
+   api.indexers.VariableOffsetWindowIndexer
+{"mode":"full","isActive":false}
\ No newline at end of file
diff --git a/docs/cudf/source/basics.rst b/docs/cudf/source/basics.rst
deleted file mode 100644
index 15b4b43662b..00000000000
--- a/docs/cudf/source/basics.rst
+++ /dev/null
@@ -1,54 +0,0 @@
-Basics
-======
-
-
-Supported Dtypes
-----------------
-
-cuDF uses dtypes for Series or individual columns of a DataFrame. cuDF uses NumPy dtypes, NumPy provides support for ``float``, ``int``, ``bool``,
-``'timedelta64[s]'``, ``'timedelta64[ms]'``, ``'timedelta64[us]'``, ``'timedelta64[ns]'``, ``'datetime64[s]'``, ``'datetime64[ms]'``,
-``'datetime64[us]'``, ``'datetime64[ns]'`` (note that NumPy does not support timezone-aware datetimes).
-
-
-The following table lists all of cudf types. For methods requiring dtype arguments, strings can be specified as indicated. See the respective documentation sections for more on each type.
-
-
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Kind of Data           | Data Type        | Scalar                                                                              | String Aliases                              |
-+========================+==================+=====================================================================================+=============================================+
-| Integer                |                  | np.int8_, np.int16_, np.int32_, np.int64_, np.uint8_, np.uint16_,                   | ``'int8'``, ``'int16'``, ``'int32'``,       |
-|                        |                  | np.uint32_, np.uint64_                                                              | ``'int64'``, ``'uint8'``, ``'uint16'``,     |
-|                        |                  |                                                                                     | ``'uint32'``, ``'uint64'``                  |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Float                  |                  | np.float32_, np.float64_                                                            | ``'float32'``, ``'float64'``                |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Strings                |                  | `str <https://docs.python.org/3/library/stdtypes.html#str>`_                        | ``'string'``, ``'object'``                  |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Datetime               |                  | np.datetime64_                                                                      | ``'datetime64[s]'``, ``'datetime64[ms]'``,  |
-|                        |                  |                                                                                     | ``'datetime64[us]'``, ``'datetime64[ns]'``  |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Timedelta              |                  | np.timedelta64_                                                                     | ``'timedelta64[s]'``, ``'timedelta64[ms]'``,|
-| (duration type)        |                  |                                                                                     | ``'timedelta64[us]'``, ``'timedelta64[ns]'``|
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Categorical            | CategoricalDtype | (none)                                                                              | ``'category'``                              |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Boolean                |                  | np.bool_                                                                            | ``'bool'``                                  |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Decimal                | Decimal64Dtype   | (none)                                                                              | (none)                                      |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-
-**Note: All dtypes above are Nullable**
-
-.. _np.int8: 
-.. _np.int16: 
-.. _np.int32:
-.. _np.int64:
-.. _np.uint8:
-.. _np.uint16:
-.. _np.uint32:
-.. _np.uint64:
-.. _np.float32:
-.. _np.float64:
-.. _np.bool: https://numpy.org/doc/stable/user/basics.types.html
-.. _np.datetime64: https://numpy.org/doc/stable/reference/arrays.datetime.html#basic-datetimes
-.. _np.timedelta64: https://numpy.org/doc/stable/reference/arrays.datetime.html#datetime-and-timedelta-arithmetic
diff --git a/docs/cudf/source/basics/dask-cudf.md b/docs/cudf/source/basics/dask-cudf.md
deleted file mode 100644
index 92ef4eb1c46..00000000000
--- a/docs/cudf/source/basics/dask-cudf.md
+++ /dev/null
@@ -1,78 +0,0 @@
-Multi-GPU with Dask-cuDF
-========================
-
-cuDF is a single-GPU library. For Multi-GPU cuDF solutions we use [Dask](https://dask.org/) and the [dask-cudf package](https://github.com/rapidsai/cudf/tree/main/python/dask_cudf), which is able to scale cuDF across multiple GPUs on a single machine, or multiple GPUs across many machines in a cluster.
-
-[Dask DataFrame](http://docs.dask.org/en/latest/dataframe.html) was originally designed to scale Pandas, orchestrating many Pandas DataFrames spread across many CPUs into a cohesive parallel DataFrame. Because cuDF currently implements only a subset of Pandas’s API, not all Dask DataFrame operations work with cuDF.
-
-The following is tested and expected to work:
-
-What works
-----------
-
--  Data ingestion
-    -  ``dask_cudf.read_csv``
-    -  Use standard Dask ingestion with Pandas, then convert to cuDF (For
-      Parquet and other formats this is often decently fast)
--  Linear operations
-    -  Element-wise operations:  ``df.x + df.y``, ``df ** 2``
-    -  Assignment: ``df['z'] = df.x + df.y``
-    -  Row-wise selections:  ``df[df.x > 0]``
-    -  Loc:  ``df.loc['2001-01-01': '2005-02-02']``
-    -  Date time/string accessors:  ``df.timestamp.dt.dayofweek``
-    -  ... and most similar operations in this category that are already implemented in cuDF
--  Reductions
-    -  Like ``sum``, ``mean``, ``max``, ``count``, and so on on ``Series`` objects
-    -  <strike>Support for reductions on full dataframes</strike>
-    -  <strike>``std``</strike>
-    -  Custom reductions with [dask.dataframe.reduction](http://docs.dask.org/en/latest/dataframe-api.html#dask.dataframe.Series.reduction)
--  Groupby aggregations
-    -  On single columns: ``df.groupby('x').y.max()``
-    -  With custom aggregations:
-    -  <strike>groupby standard deviation</strike>
-    -  <strike>grouping on multiple columns</strike>
-    -  <strike>groupby agg for multiple outputs</strike>
--  Joins:
-    -  On full unsorted columns: ``left.merge(right, on='id')`` (expensive)
-    -  On sorted indexes: ``left.merge(right, left_index=True, right_index=True)`` (fast)
-    -  On large and small dataframes: ``left.merge(cudf_df, on='id')`` (fast)
--  <strike>Rolling operations</strike>
--  Converting to and from other forms
-    -  Dask + Pandas to Dask + cuDF ``df.map_partitions(cudf.from_pandas)``
-    -  Dask + cuDF to Dask + Pandas ``df.map_partitions(lambda df: df.to_pandas())``
-    -  cuDF to Dask + cuDF: ``dask.dataframe.from_pandas(df, npartitions=20)``
-    -  Dask + cuDF to cuDF: ``df.compute()``
-
-Additionally all generic Dask operations, like ``compute``, ``persist``,
-``visualize`` and so on work regardless.
-
-
-Developing the API
-------------------
-
-Above we mention the following:
-
-> and most similar operations in this category that are already implemented in cuDF
-
-This is because it is difficult to create a comprehensive list of operations in
-the cuDF and Pandas libraries.  The API is large enough to be difficult to track
-effectively.  For any operation that operates row-wise like ``fillna`` or
-``query`` things will likely, but not certainly work.  If operations don't work
-it is often due to a slight inconsistency between Pandas and cuDF that is
-generally easy to fix.  We encourage users to look at the [cuDF issue
-tracker](https://github.com/rapidsai/cudf/issues) to see if their issue has
-already been reported and, if not,
-[raise a new issue](https://github.com/rapidsai/cudf/issues/new).
-
-
-Navigating the API
-------------------
-
-This project reuses the
-[Dask DataFrame](https://docs.dask.org/en/latest/dataframe.html) project, which
-was originally designed for Pandas, with the newer library cuDF.  Because we use
-the same Dask classes for both projects there are often methods that are
-implemented for Pandas, but not yet for cuDF.  As a result users looking at the
-full Dask DataFrame API can be misleading, and often lead to frustration when
-operations that are advertised in the Dask API do not work as expected with
-cuDF.  We apologize for this in advance.
diff --git a/docs/cudf/source/dask-cudf.rst b/docs/cudf/source/basics/dask-cudf.rst
similarity index 100%
rename from docs/cudf/source/dask-cudf.rst
rename to docs/cudf/source/basics/dask-cudf.rst
diff --git a/docs/cudf/source/basics/index.rst b/docs/cudf/source/basics/index.rst
index d4cb7259d17..b08fa1f9988 100644
--- a/docs/cudf/source/basics/index.rst
+++ b/docs/cudf/source/basics/index.rst
@@ -8,7 +8,6 @@ Basics
 
    basics
    io.rst
-   groupby.md
-   dask-cudf.md
-   internals.md
-
+   groupby.rst
+   dask-cudf.rst
+   internals.rst
diff --git a/docs/cudf/source/basics/internals.md b/docs/cudf/source/basics/internals.md
deleted file mode 100644
index d0a2a324c17..00000000000
--- a/docs/cudf/source/basics/internals.md
+++ /dev/null
@@ -1,194 +0,0 @@
-cuDF internals
-==============
-
-The cuDF API closely matches that of the [Pandas](https://pandas.pydata.org/) library.
-Thus, we have the types `cudf.Series`, `cudf.DataFrame` and `cudf.Index` which look and
-feel very much like their Pandas counterparts.
-
-Under the hood, however, cuDF uses data structures very different from Pandas. In this document,
-we describe these internal data structures.
-
-## Column
-
-Columns are cuDF's core data structure and they are modeled after
-the [Apache Arrow Columnar Format](https://arrow.apache.org/docs/format/Columnar.html).
-
-A column represents a sequence of values, any number of which may be "null". Columns are
-specialized based on the type of data they contain. Thus we have `NumericalColumn`, `StringColumn`,
-`DatetimeColumn`, etc.,
-
-A column is composed of the following:
-
-* A **data type**, specifying the type of each element.
-* A **data buffer** that may store the data for the column elements.
-  Some column types do not have a data buffer, instead storing data in the children columns.
-* A **mask buffer** whose bits represent the validity (null or not null) of each element.
-  Columns whose elements are all "valid" may not have a mask buffer. Mask buffers are padded
-  to 64 bytes.
-* A tuple of **children** columns, which enable the representation complex types such as
-  columns with non-fixed width elements such as strings or lists.
-* A **size** indicating the number of elements in the column.
-* An integer **offset**: a column may represent a "slice" of another column,
-  in which case this offset represents the first element of the slice. The size of
-  the column then gives the extent of the slice. A column that is not a slice
-  has an offset of 0.
-
-For example, the `NumericalColumn` backing a Series with 1000 elements of type 'int32'
-and containing nulls is composed of:
-
-1. A data buffer of size 4000 bytes (sizeof(int32) * 1000)
-2. A mask buffer of size 128 bytes (1000/8 padded to a multiple of 64 bytes)
-3. No children columns
-
-As another example, the `StringColumn` backing the Series
-`['do', 'you', 'have', 'any', 'cheese?']` is composed of:
-
-1. No data buffer
-2. No mask buffer as there are no nulls in the Series
-3. Two children columns:
-   - A column of 8-bit characters `['d', 'o', 'y', 'o', 'u', h' ... '?']`
-   - A column of "offsets" to the characters column (in this case, `[0, 2, 5, 9, 12, 19]`)
-
-## Buffer
-
-The data and mask buffers of a column represent data in GPU memory (a.k.a *device memory*),
-and are object of type `cudf.core.buffer.Buffer`.
-
-Buffers can be constructed from array-like objects that live either on the host (e.g., numpy arrays)
-or the device (e.g., cupy arrays). Arrays must be of `uint8` dtype or viewed as such.
-
-When constructing a Buffer from a host object such as a numpy array, new device memory is allocated:
-
-```python
->>> from cudf.core.buffer import Buffer
->>> buf = Buffer(np.array([1, 2, 3], dtype='int64').view("uint8"))
->>> print(buf.ptr)  # address of new device memory allocation
-140050901762560
->>> print(buf.size)
-24
->>> print(buf._owner)
-<rmm._lib.device_buffer.DeviceBuffer object at 0x7f6055baab50>
-```
-
-cuDF uses the [RMM](https://github.com/rapidsai/rmm) library for allocating device memory.
-You can read more about device memory allocation with RMM
-[here](https://github.com/rapidsai/rmm#devicebuffers).
-
-When constructing a Buffer from a device object such as a CuPy array, no new device memory is
-allocated. Instead, the Buffer points to the existing allocation, keeping a reference to the device
-array:
-
-```python
->>> import cupy as cp
->>> c_ary = cp.asarray([1, 2, 3], dtype='int64')
->>> buf = Buffer(c_ary.view("uint8"))
->>> print(c_ary.data.mem.ptr)
-140050901762560
->>> print(buf.ptr)
-140050901762560
->>> print(buf.size)
-24
->>> print(buf._owner is c_ary)
-True
-```
-
-An uninitialized block of device memory can be allocated with `Buffer.empty`:
-
-```python
->>> buf = Buffer.empty(10)
->>> print(buf.size)
-10
->>> print(buf._owner)
-<rmm._lib.device_buffer.DeviceBuffer object at 0x7f6055baa890>
-```
-
-## ColumnAccessor
-
-cuDF  `Series`, `DataFrame` and `Index` are all subclasses of an internal `Frame` class.
-The underlying data structure of `Frame` is an ordered, dictionary-like object
-known as `ColumnAccessor`, which can be accessed via the `._data` attribute:
-
-```python
->>> a = cudf.DataFrame({'x': [1, 2, 3], 'y': ['a', 'b', 'c']})
->>> a._data
-ColumnAccessor(OrderedColumnDict([('x', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d12e050>), ('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d12e320>)]), multiindex=False, level_names=(None,))
-```
-
-ColumnAccessor is an ordered mapping of column labels to columns. In addition to behaving
-like an OrderedDict, it supports things like selecting multiple columns (both by index and label), as well as hierarchical indexing.
-
-```python
->>> from cudf.core.column_accessor import ColumnAccessor
-```
-
-The values of a ColumnAccessor are coerced to Columns during construction:
-
-```python
->>> ca = ColumnAccessor({'x': [1, 2, 3], 'y': ['a', 'b', 'c']})
->>> ca['x']
-<cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>
->>> ca['y']
-<cudf.core.column.string.StringColumn object at 0x7f5a7d578b90>
->>> ca.pop('x')
-<cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>
->>> ca
-ColumnAccessor(OrderedColumnDict([('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578b90>)]), multiindex=False, level_names=(None,))
-```
-
-Columns can be inserted at a specified location:
-
-```python
->>> ca.insert('z', [3, 4, 5], loc=1)
->>> ca
-ColumnAccessor(OrderedColumnDict([('x', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d578dd0>), ('z', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d578680>), ('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d12e3b0>)]), multiindex=False, level_names=(None,))
-```
-
-Selecting columns by index:
-
-```python
->>> ca = ColumnAccessor({'x': [1, 2, 3], 'y': ['a', 'b', 'c'], 'z': [4, 5, 6]})
->>> ca.select_by_index(1)
-ColumnAccessor(OrderedColumnDict([('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578830>)]), multiindex=False, level_names=(None,))
->>> ca.select_by_index([0, 1])
-ColumnAccessor(OrderedColumnDict([('x', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>), ('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578830>)]), multiindex=False, level_names=(None,))    
->>> ca.select_by_index(slice(1, 3))
-ColumnAccessor(OrderedColumnDict([('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578830>), ('z', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5788c0>)]), multiindex=False, level_names=(None,))
-```
-
-Selecting columns by label:
-
-```python
->>> ca.select_by_label(['y', 'z'])
-ColumnAccessor(OrderedColumnDict([('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578830>), ('z', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5788c0>)]), multiindex=False, level_names=(None,))
->>> ca.select_by_label(slice('x', 'y'))
-ColumnAccessor(OrderedColumnDict([('x', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>), ('y', <cudf.core.column.string.StringColumn object at 0x7f5a7d578830>)]), multiindex=False, level_names=(None,))
-```
-
-A ColumnAccessor with tuple keys (and constructed with `multiindex=True`)
-can be hierarchically indexed:
-
-```python
->>> ca = ColumnAccessor({('a', 'b'): [1, 2, 3], ('a', 'c'): [2, 3, 4], 'b': [4, 5, 6]}, multiindex=True)
->>> ca.select_by_label('a')
-ColumnAccessor(OrderedColumnDict([('b', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>), ('c', <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d578dd0>)]), multiindex=False, level_names=(None,))
->>> ca.select_by_label(('a', 'b'))
-ColumnAccessor(OrderedColumnDict([(('a', 'b'), <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d5789e0>)]), multiindex=False, level_names=(None,))
-```
-
-"Wildcard" indexing is also allowed:
-
-```python
->>> ca = ColumnAccessor({('a', 'b'): [1, 2, 3], ('a', 'c'): [2, 3, 4], ('d', 'b'): [4, 5, 6]}, multiindex=True)
->>> ca.select_by_label((slice(None), 'b'))
-ColumnAccessor(OrderedColumnDict([(('a', 'b'), <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d578830>), (('d', 'b'), <cudf.core.column.numerical.NumericalColumn object at 0x7f5a7d578680>)]), multiindex=True, level_names=(None, None))
-```
-
-Finally, ColumnAccessors can convert to Pandas `Index` or `MultiIndex` objects:
-
-```python
->>> ca.to_pandas_index()
-MultiIndex([('a', 'b'),
-            ('a', 'c'),
-            ('d', 'b')],
-           )
-```
diff --git a/docs/cudf/source/internals.rst b/docs/cudf/source/basics/internals.rst
similarity index 100%
rename from docs/cudf/source/internals.rst
rename to docs/cudf/source/basics/internals.rst
diff --git a/docs/cudf/source/io-gds-integration.rst b/docs/cudf/source/basics/io-gds-integration.rst
similarity index 100%
rename from docs/cudf/source/io-gds-integration.rst
rename to docs/cudf/source/basics/io-gds-integration.rst
diff --git a/docs/cudf/source/basics/io-supported-types.rst b/docs/cudf/source/basics/io-supported-types.rst
index e09e155ef92..a74f3239044 100644
--- a/docs/cudf/source/basics/io-supported-types.rst
+++ b/docs/cudf/source/basics/io-supported-types.rst
@@ -5,58 +5,62 @@ The following table lists are compatible cudf types for each supported IO format
 
 .. rst-class:: io-supported-types-table
 .. table::
-    :widths: 15 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
+    :widths: 15 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
 
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+-----------------+--------+--------+--------+--------+
-    |                       |       CSV       |      Parquet    |      JSON       |       ORC       |  AVRO  |       HDF       |       DLPack    |      Feather    |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | Data Type             | Writer | Reader | Writer | Reader | Writer | Reader | Writer | Reader | Reader | Writer | Reader | Writer | Reader | Writer | Reader |
-    +=======================+========+========+========+========+========+========+========+========+========+========+========+========+========+========+========+
-    | int8                  | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | int16                 | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | int32                 | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | int64                 | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | uint8                 | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ✅     | ❌     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | uint16                | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ✅     | ❌     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | uint32                | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ✅     | ❌     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | uint64                | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | float32               | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | float64               | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | bool                  | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | str                   | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | category              | ✅     | ❌     | ❌     | ❌     | ✅     | ❌     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | list                  | ❌     | ❌     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | timedelta64[s]        | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | timedelta64[ms]       | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | timedelta64[us]       | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | timedelta64[ns]       | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | datetime64[s]         | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | datetime64[ms]        | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | datetime64[us]        | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | datetime64[ns]        | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | struct                | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ✅     | ✅     | ❌     | ❌     | ✅     | ✅     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
-    | decimal               | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     | ❌     |
-    +-----------------------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+--------+
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+-------------------+--------+--------+---------+---------+
+    |                       |       CSV       |      Parquet    |       JSON       |       ORC       |  AVRO  |        HDF        |       DLPack    |      Feather      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | Data Type             | Writer | Reader | Writer | Reader | Writer¹ | Reader | Writer | Reader | Reader | Writer¹ | Reader¹ | Writer | Reader | Writer¹ | Reader¹ |
+    +=======================+========+========+========+========+=========+========+========+========+========+=========+=========+========+========+=========+=========+
+    | int8                  | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | int16                 | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | int32                 | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | int64                 | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | uint8                 | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ✅     | ❌     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | uint16                | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ✅     | ❌     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | uint32                | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ✅     | ❌     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | uint64                | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ❌     | ❌     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | float32               | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | float64               | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | bool                  | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | str                   | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | category              | ✅     | ❌     | ❌     | ❌     | ✅      | ❌     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | list                  | ❌     | ❌     | ✅     | ✅     | ✅      | ❌     | ❌     | ❌     | ❌     | ❌      | ❌      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | timedelta64[s]        | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | timedelta64[ms]       | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | timedelta64[us]       | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | timedelta64[ns]       | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | datetime64[s]         | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | datetime64[ms]        | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | datetime64[us]        | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | datetime64[ns]        | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | struct                | ❌     | ❌     | ✅     | ✅     | ❌      | ❌     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+    | decimal64             | ❌     | ❌     | ✅     | ✅     | ❌      | ❌     | ❌     | ✅     | ❌     | ❌      | ❌      | ❌     | ❌     | ❌      | ❌      |
+    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
+
+**Notes:**
+
+* [¹] - Not GPU-accelerated.
diff --git a/docs/cudf/source/basics/io.rst b/docs/cudf/source/basics/io.rst
index 5186473ae10..e88162d8f52 100644
--- a/docs/cudf/source/basics/io.rst
+++ b/docs/cudf/source/basics/io.rst
@@ -8,4 +8,5 @@ This page contains Input / Output related APIs in cuDF.
    :maxdepth: 2
    :caption: Contents:
 
-   io-supported-types.rst
\ No newline at end of file
+   io-supported-types.rst
+   io-gds-integration.rst
\ No newline at end of file
diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index 43ba83d8c46..dd2c4f4deed 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -114,15 +114,15 @@
 # on_rtd is whether we are on readthedocs.org
 on_rtd = os.environ.get("READTHEDOCS", None) == "True"
 
-# if not on_rtd:
-#     # only import and set the theme if we're building docs locally
-#     # otherwise, readthedocs.org uses their theme by default,
-#     # so no need to specify it
-#     import sphinx_rtd_theme
-#
-#     html_theme = "pydata_sphinx_theme"
-#     # html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
-#
+if not on_rtd:
+    # only import and set the theme if we're building docs locally
+    # otherwise, readthedocs.org uses their theme by default,
+    # so no need to specify it
+    import pydata_sphinx_theme
+
+    html_theme = "pydata_sphinx_theme"
+    html_theme_path = pydata_sphinx_theme.get_html_theme_path()
+
 
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the
@@ -242,7 +242,7 @@ def ignore_internal_references(app, env, node, contnode):
 
 
 def setup(app):
-    app.add_css_file("params.css")
+    # app.add_css_file("params.css")
     app.add_css_file("https://docs.rapids.ai/assets/css/custom.css")
     app.connect("doctree-read", resolve_aliases)
     app.connect("missing-reference", ignore_internal_references)
diff --git a/docs/cudf/source/groupby.rst b/docs/cudf/source/groupby.rst
deleted file mode 100644
index a6ce9db6817..00000000000
--- a/docs/cudf/source/groupby.rst
+++ /dev/null
@@ -1,237 +0,0 @@
-GroupBy
-=======
-
-cuDF supports a small (but important) subset of Pandas' `groupby
-API <https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html>`__.
-
-Summary of supported operations
--------------------------------
-
-1. Grouping by one or more columns
-2. Basic aggregations such as "sum", "mean", etc.
-3. Quantile aggregation
-4. A "collect" or ``list`` aggregation for collecting values in a group
-   into lists
-5. Automatic exclusion of columns with unsupported dtypes ("nuisance"
-   columns) when aggregating
-6. Iterating over the groups of a GroupBy object
-7. ``GroupBy.groups`` API that returns a mapping of group keys to row
-   labels
-8. ``GroupBy.apply`` API for performing arbitrary operations on each
-   group. Note that this has very limited functionality compared to the
-   equivalent Pandas function. See the section on
-   `apply <#groupby-apply>`__ for more details.
-9. ``GroupBy.pipe`` similar to
-   `Pandas <https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#piping-function-calls>`__.
-
-Grouping
---------
-
-A GroupBy object is created by grouping the values of a ``Series`` or
-``DataFrame`` by one or more columns:
-
-.. code:: python
-
-    import cudf
-
-    >>> df = cudf.DataFrame({'a': [1, 1, 1, 2, 2], 'b': [1, 1, 2, 2, 3], 'c': [1, 2, 3, 4, 5]})
-    >>> df
-    >>> gb1 = df.groupby('a')  # grouping by a single column
-    >>> gb2 = df.groupby(['a', 'b'])  # grouping by multiple columns
-    >>> gb3 = df.groupby(cudf.Series(['a', 'a', 'b', 'b', 'b']))  # grouping by an external column
-
-.. warning::
-
-       cuDF uses `sort=False` by default to achieve better performance, which provides no gaurentee to the group order in outputs. This deviates from Pandas default behavior.
-
-       For example:
-
-       .. code-block:: python
-       
-          >>> df = cudf.DataFrame({'a' : [2, 2, 1], 'b' : [42, 21, 11]})
-          >>> df.groupby('a').sum()
-             b
-          a    
-          2  63
-          1  11
-          >>> df.to_pandas().groupby('a').sum()
-             b
-          a    
-          1  11
-          2  63
-       
-       Setting `sort=True` will produce Pandas-like output, but with some performance penalty:
-
-       .. code-block:: python
-       
-          >>> df.groupby('a', sort=True).sum()
-             b
-          a    
-          1  11
-          2  63
-
-Grouping by index levels
-~~~~~~~~~~~~~~~~~~~~~~~~
-
-You can also group by one or more levels of a MultiIndex:
-
-.. code:: python
-
-    >>> df = cudf.DataFrame(
-    ...     {'a': [1, 1, 1, 2, 2], 'b': [1, 1, 2, 2, 3], 'c': [1, 2, 3, 4, 5]}
-    ... ).set_index(['a', 'b'])
-    ...
-    >>> df.groupby(level='a')
-
-The ``Grouper`` object
-~~~~~~~~~~~~~~~~~~~~~~
-
-A ``Grouper`` can be used to disambiguate between columns and levels
-when they have the same name:
-
-.. code:: python
-
-    >>> df
-       b  c
-    b
-    1  1  1
-    1  1  2
-    1  2  3
-    2  2  4
-    2  3  5
-    >>> df.groupby('b', level='b')  # ValueError: Cannot specify both by and level
-    >>> df.groupby([cudf.Grouper(key='b'), cudf.Grouper(level='b')])  # OK
-
-Aggregation
------------
-
-Aggregations on groups is supported via the ``agg`` method:
-
-.. code:: python
-
-    >>> df
-       a  b  c
-    0  1  1  1
-    1  1  1  2
-    2  1  2  3
-    3  2  2  4
-    4  2  3  5
-    >>> df.groupby('a').agg('sum')
-       b  c
-    a
-    1  4  6
-    2  5  9
-    >>> df.groupby('a').agg({'b': ['sum', 'min'], 'c': 'mean'})
-        b        c
-      sum min mean
-    a
-    1   4   1  2.0
-    2   5   2  4.5
-
-The following table summarizes the available aggregations and the types
-that support them:
-
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| Aggregations / dtypes              | Numeric   | Datetime   | String   | Categorical   | List   | Struct   | Interval   | Decimal   |
-+====================================+===========+============+==========+===============+========+==========+============+===========+
-| count                              | ✅        | ✅         | ✅       | ✅            |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| size                               | ✅        | ✅         | ✅       | ✅            |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| sum                                | ✅        | ✅         |          |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| idxmin                             | ✅        | ✅         |          |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| idxmax                             | ✅        | ✅         |          |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| min                                | ✅        | ✅         | ✅       |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| max                                | ✅        | ✅         | ✅       |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| mean                               | ✅        | ✅         |          |               |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| var                                | ✅        | ✅         |          |               |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| std                                | ✅        | ✅         |          |               |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| quantile                           | ✅        | ✅         |          |               |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| median                             | ✅        | ✅         |          |               |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| nunique                            | ✅        | ✅         | ✅       | ✅            |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| nth                                | ✅        | ✅         | ✅       |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| collect                            | ✅        | ✅         | ✅       |               | ✅     |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| unique                             | ✅        | ✅         | ✅       | ✅            |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-
-GroupBy apply
--------------
-
-To apply function on each group, use the ``GroupBy.apply()`` method:
-
-.. code:: python
-
-    >>> df
-       a  b  c
-    0  1  1  1
-    1  1  1  2
-    2  1  2  3
-    3  2  2  4
-    4  2  3  5
-    >>> df.groupby('a').apply(lambda x: x.max() - x.min())
-       a  b  c
-    a
-    0  0  1  2
-    1  0  1  1
-
-Limitations
-~~~~~~~~~~~
-
--  ``apply`` works by applying the provided function to each group
-   sequentially, and concatenating the results together. **This can be
-   very slow**, especially for a large number of small groups. For a
-   small number of large groups, it can give acceptable performance
-
--  The results may not always match Pandas exactly. For example, cuDF
-   may return a ``DataFrame`` containing a single column where Pandas
-   returns a ``Series``. Some post-processing may be required to match
-   Pandas behavior.
-
--  cuDF does not support some of the exceptional cases that Pandas
-   supports with ``apply``, such as calling |describe|_ inside the
-   callable.
-
- .. |describe| replace:: ``describe``
- .. _describe: https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#flexible-apply
-
-Rolling window calculations
----------------------------
-
-Use the ``GroupBy.rolling()`` method to perform rolling window
-calculations on each group:
-
-.. code:: python
-
-    >>> df
-       a  b  c
-    0  1  1  1
-    1  1  1  2
-    2  1  2  3
-    3  2  2  4
-    4  2  3  5
-
-Rolling window sum on each group with a window size of 2:
-
-.. code:: python
-
-    >>> df.groupby('a').rolling(2).sum()
-            a     b     c
-    a
-    1 0  <NA>  <NA>  <NA>
-      1     2     2     3
-      2     2     3     5
-    2 3  <NA>  <NA>  <NA>
-      4     4     5     9
diff --git a/docs/cudf/source/guide-to-udfs.ipynb b/docs/cudf/source/guide-to-udfs.ipynb
deleted file mode 100644
index 3299414ac7e..00000000000
--- a/docs/cudf/source/guide-to-udfs.ipynb
+++ /dev/null
@@ -1,1716 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Overview of User Defined Functions with cuDF"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Like many tabular data processing APIs, cuDF provides a range of composable, DataFrame style operators. While out of the box functions are flexible and useful, it is sometimes necessary to write custom code, or user-defined functions (UDFs), that can be applied to rows, columns, and other groupings of the cells making up the DataFrame.\n",
-    "\n",
-    "In conjunction with the broader GPU PyData ecosystem, cuDF provides interfaces to run UDFs on a variety of data structures. Currently, we can only execute UDFs on numeric and Boolean typed data (support for strings is being planned). This guide covers writing and executing UDFs on the following data structures:\n",
-    "\n",
-    "- Series\n",
-    "- DataFrame\n",
-    "- Rolling Windows Series\n",
-    "- Groupby DataFrames\n",
-    "- CuPy NDArrays\n",
-    "- Numba DeviceNDArrays\n",
-    "\n",
-    "It also demonstrates cuDF's default null handling behavior, and how to write UDFs that can interact with null values in a limited fashion."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Overview\n",
-    "\n",
-    "When cuDF executes a UDF, it gets just-in-time (JIT) compiled into a CUDA kernel (either explicitly or implicitly) and is run on the GPU. Exploring CUDA and GPU architecture in-depth is out of scope for this guide. At a high level:\n",
-    "\n",
-    "- Compute is spread across multiple \"blocks\", which have access to both global memory and their own block local memory\n",
-    "- Within each block, many \"threads\" operate independently and simultaneously access their block-specific shared memory with low latency\n",
-    "\n",
-    "\n",
-    "This guide covers APIs that automatically handle dividing columns into chunks and assigning them into different GPU blocks for parallel computation (see [apply_chunks](https://docs.rapids.ai/api/cudf/stable/api.html#cudf.core.dataframe.DataFrame.apply_chunks) or the [numba CUDA JIT API](https://numba.pydata.org/numba-doc/dev/cuda/index.html) if you need to control this yourself)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Series UDFs\n",
-    "\n",
-    "You can execute UDFs on Series in two ways:\n",
-    "\n",
-    "- Writing a standard Python function and using `applymap`\n",
-    "- Writing a Numba kernel and using Numba's `forall` syntax\n",
-    "\n",
-    "Using `applymap` is simpler, but writing a Numba kernel offers the flexibility to build more complex functions (we'll be writing only simple kernels in this guide).\n",
-    "\n",
-    "Let's start by importing a few libraries and creating a DataFrame of several Series."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>-0.691674</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Dan</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.480099</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Bob</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>-0.473370</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Xavier</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.067479</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Alice</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>-0.970850</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Sarah</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          a      b       c\n",
-       "0 -0.691674   True     Dan\n",
-       "1  0.480099  False     Bob\n",
-       "2 -0.473370   True  Xavier\n",
-       "3  0.067479   True   Alice\n",
-       "4 -0.970850  False   Sarah"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import numpy as np\n",
-    "\n",
-    "import cudf\n",
-    "from cudf.datasets import randomdata \n",
-    "\n",
-    "df = randomdata(nrows=10, dtypes={'a':float, 'b':bool, 'c':str}, seed=12)\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, we'll define a basic Python function and call it as a UDF with `applymap`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def udf(x):\n",
-    "    if x > 0:\n",
-    "        return x + 5\n",
-    "    else:\n",
-    "        return x - 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0   -5.691674\n",
-       "1    5.480099\n",
-       "2   -5.473370\n",
-       "3    5.067479\n",
-       "4   -5.970850\n",
-       "5    5.837494\n",
-       "6    5.801430\n",
-       "7   -5.933157\n",
-       "8    5.913899\n",
-       "9   -5.725581\n",
-       "Name: a, dtype: float64"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df['a'].applymap(udf)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "That's all there is to it. For more complex UDFs, though, we'd want to write an actual Numba kernel.\n",
-    "\n",
-    "For more complex logic (for instance, accessing values from multiple input columns or rows, you'll need to use a more complex API. There are several types. First we'll cover writing and running a Numba JITed CUDA kernel.\n",
-    "\n",
-    "The easiest way to write a Numba kernel is to use `cuda.grid(1)` to manage our thread indices, and then leverage Numba's `forall` method to configure the kernel for us. Below, define a basic multiplication kernel as an example and use `@cuda.jit` to compile it."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from numba import cuda\n",
-    "\n",
-    "@cuda.jit\n",
-    "def multiply(in_col, out_col, multiplier):\n",
-    "    i = cuda.grid(1)\n",
-    "    if i < in_col.size: # boundary guard\n",
-    "        out_col[i] = in_col[i] * multiplier"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This kernel will take an input array, multiply it by a configurable value (supplied at runtime), and store the result in an output array. Notice that we wrapped our logic in an `if` statement. Because we can launch more threads than the size of our array, we need to make sure that we don't use threads with an index that would be out of bounds. Leaving this out can result in undefined behavior.\n",
-    "\n",
-    "To execute our kernel, we just need to pre-allocate an output array and leverage the `forall` method mentioned above. First, we create a Series of all `0.0` in our DataFrame, since we want `float64` output. Next, we run the kernel with `forall`. `forall` requires us to specify our desired number of tasks, so we'll supply in the length of our Series (which we store in `size`). The [__cuda_array_interface__](https://numba.pydata.org/numba-doc/dev/cuda/cuda_array_interface.html) is what allows us to directly call our Numba kernel on our Series."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "size = len(df['a'])\n",
-    "df['e'] = 0.0\n",
-    "multiply.forall(size)(df['a'], df['e'], 10.0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "After calling our kernel, our DataFrame is now populated with the result."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <th>0</th>\n",
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-       "      <td>True</td>\n",
-       "      <td>Dan</td>\n",
-       "      <td>-6.916743</td>\n",
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-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.480099</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Bob</td>\n",
-       "      <td>4.800994</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>-0.473370</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Xavier</td>\n",
-       "      <td>-4.733700</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.067479</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Alice</td>\n",
-       "      <td>0.674788</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>-0.970850</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Sarah</td>\n",
-       "      <td>-9.708501</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          a      b       c         e\n",
-       "0 -0.691674   True     Dan -6.916743\n",
-       "1  0.480099  False     Bob  4.800994\n",
-       "2 -0.473370   True  Xavier -4.733700\n",
-       "3  0.067479   True   Alice  0.674788\n",
-       "4 -0.970850  False   Sarah -9.708501"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note that, while we're operating on the Series `df['e']`, the kernel executes on the [DeviceNDArray](https://numba.pydata.org/numba-doc/dev/cuda/memory.html#device-arrays) \\\"underneath\\\" the Series. If you ever need to access the underlying DeviceNDArray of a Series, you can do so with `Series.data.mem`. We'll use this during an example in the Null Handling section of this guide."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## DataFrame UDFs\n",
-    "\n",
-    "We could apply a UDF on a DataFrame like we did above with `forall`. We'd need to write a kernel that expects multiple inputs, and pass multiple Series as arguments when we execute our kernel. Because this is fairly common and can be difficult to manage, cuDF provides two APIs to streamline this: `apply_rows` and `apply_chunks`. Below, we walk through an example of using `apply_rows`. `apply_chunks` works in a similar way, but also offers more control over low-level kernel behavior.\n",
-    "\n",
-    "Now that we have two numeric columns in our DataFrame, let's write a kernel that uses both of them."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def conditional_add(x, y, out):\n",
-    "    for i, (a, e) in enumerate(zip(x, y)):\n",
-    "        if a > 0:\n",
-    "            out[i] = a + e\n",
-    "        else:\n",
-    "            out[i] = a"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Notice that we need to `enumerate` through our `zipped` function arguments (which either match or are mapped to our input column names). We can pass this kernel to `apply_rows`. We'll need to specify a few arguments:\n",
-    "- incols\n",
-    "    - A list of names of input columns that match the function arguments. Or, a dictionary mapping input column names to their corresponding function arguments such as `{'col1': 'arg1'}`.\n",
-    "- outcols\n",
-    "    - A dictionary defining our output column names and their data types. These names must match our function arguments.\n",
-    "- kwargs (optional)\n",
-    "    - We can optionally pass keyword arguments as a dictionary. Since we don't need any, we pass an empty one.\n",
-    "    \n",
-    "While it looks like our function is looping sequentially through our columns, it actually executes in parallel in multiple threads on the GPU. This parallelism is the heart of GPU-accelerated computing. With that background, we're ready to use our UDF."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "      <th>e</th>\n",
-       "      <th>out</th>\n",
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-       "      <th>0</th>\n",
-       "      <td>-0.691674</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Dan</td>\n",
-       "      <td>-6.916743</td>\n",
-       "      <td>-0.691674</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.480099</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Bob</td>\n",
-       "      <td>4.800994</td>\n",
-       "      <td>5.281093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>-0.473370</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Xavier</td>\n",
-       "      <td>-4.733700</td>\n",
-       "      <td>-0.473370</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.067479</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Alice</td>\n",
-       "      <td>0.674788</td>\n",
-       "      <td>0.742267</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>-0.970850</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Sarah</td>\n",
-       "      <td>-9.708501</td>\n",
-       "      <td>-0.970850</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          a      b       c         e       out\n",
-       "0 -0.691674   True     Dan -6.916743 -0.691674\n",
-       "1  0.480099  False     Bob  4.800994  5.281093\n",
-       "2 -0.473370   True  Xavier -4.733700 -0.473370\n",
-       "3  0.067479   True   Alice  0.674788  0.742267\n",
-       "4 -0.970850  False   Sarah -9.708501 -0.970850"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = df.apply_rows(conditional_add, \n",
-    "                   incols={'a':'x', 'e':'y'},\n",
-    "                   outcols={'out': np.float64},\n",
-    "                   kwargs={}\n",
-    "                  )\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As expected, we see our conditional addition worked. At this point, we've successfully executed UDFs on the core data structures of cuDF."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Rolling Window UDFs\n",
-    "\n",
-    "For time-series data, we may need to operate on a small \\\"window\\\" of our column at a time, processing each portion independently. We could slide (\\\"roll\\\") this window over the entire column to answer questions like \\\"What is the 3-day moving average of a stock price over the past year?\"\n",
-    "\n",
-    "We can apply more complex functions to rolling windows to `rolling` Series and DataFrames using `apply`. This example is adapted from cuDF's [API documentation](https://docs.rapids.ai/api/cudf/stable/api.html#cudf.core.dataframe.DataFrame.rolling). First, we'll create an example Series and then create a `rolling` object from the Series."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    16.0\n",
-       "1    25.0\n",
-       "2    36.0\n",
-       "3    49.0\n",
-       "4    64.0\n",
-       "5    81.0\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ser = cudf.Series([16, 25, 36, 49, 64, 81], dtype='float64')\n",
-    "ser"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Rolling [window=3,min_periods=3,center=False]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rolling = ser.rolling(window=3, min_periods=3, center=False)\n",
-    "rolling"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, we'll define a function to use on our rolling windows. We created this one to highlight how you can include things like loops, mathematical functions, and conditionals. Rolling window UDFs do not yet support null values."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import math\n",
-    "\n",
-    "def example_func(window):\n",
-    "    b = 0\n",
-    "    for a in window:\n",
-    "        b = max(b, math.sqrt(a))\n",
-    "    if b == 8:\n",
-    "        return 100    \n",
-    "    return b"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can execute the function by passing it to `apply`. With `window=3`, `min_periods=3`, and `center=False`, our first two values are `null`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0     null\n",
-       "1     null\n",
-       "2      6.0\n",
-       "3      7.0\n",
-       "4    100.0\n",
-       "5      9.0\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rolling.apply(example_func)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can apply this function to every column in a DataFrame, too."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>55.0</td>\n",
-       "      <td>55.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>56.0</td>\n",
-       "      <td>56.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>57.0</td>\n",
-       "      <td>57.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>58.0</td>\n",
-       "      <td>58.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>59.0</td>\n",
-       "      <td>59.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      a     b\n",
-       "0  55.0  55.0\n",
-       "1  56.0  56.0\n",
-       "2  57.0  57.0\n",
-       "3  58.0  58.0\n",
-       "4  59.0  59.0"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df2 = cudf.DataFrame()\n",
-    "df2['a'] = np.arange(55, 65, dtype='float64')\n",
-    "df2['b'] = np.arange(55, 65, dtype='float64')\n",
-    "df2.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<style scoped>\n",
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-       "\n",
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "    </tr>\n",
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-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>null</td>\n",
-       "      <td>null</td>\n",
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-       "      <th>1</th>\n",
-       "      <td>null</td>\n",
-       "      <td>null</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>7.549834435</td>\n",
-       "      <td>7.549834435</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7.615773106</td>\n",
-       "      <td>7.615773106</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>7.681145748</td>\n",
-       "      <td>7.681145748</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>7.745966692</td>\n",
-       "      <td>7.745966692</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>7.810249676</td>\n",
-       "      <td>7.810249676</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>7.874007874</td>\n",
-       "      <td>7.874007874</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>7.937253933</td>\n",
-       "      <td>7.937253933</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>100.0</td>\n",
-       "      <td>100.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             a            b\n",
-       "0         null         null\n",
-       "1         null         null\n",
-       "2  7.549834435  7.549834435\n",
-       "3  7.615773106  7.615773106\n",
-       "4  7.681145748  7.681145748\n",
-       "5  7.745966692  7.745966692\n",
-       "6  7.810249676  7.810249676\n",
-       "7  7.874007874  7.874007874\n",
-       "8  7.937253933  7.937253933\n",
-       "9        100.0        100.0"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rolling = df2.rolling(window=3, min_periods=3, center=False)\n",
-    "rolling.apply(example_func)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## GroupBy DataFrame UDFs\n",
-    "\n",
-    "We can also apply UDFs to grouped DataFrames using `apply_grouped`. This example is also drawn and adapted from the RAPIDS [API documentation](https://docs.rapids.ai/api/cudf/stable/api.html#cudf.core.groupby.groupby.GroupBy.apply_grouped).\n",
-    "\n",
-    "First, we'll group our DataFrame based on column `b`, which is either True or False. Note that we currently need to pass `method=\"cudf\"` to use UDFs with GroupBy objects."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "      <th>e</th>\n",
-       "      <th>out</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>-0.691674</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Dan</td>\n",
-       "      <td>-6.916743</td>\n",
-       "      <td>-0.691674</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.480099</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Bob</td>\n",
-       "      <td>4.800994</td>\n",
-       "      <td>5.281093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>-0.473370</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Xavier</td>\n",
-       "      <td>-4.733700</td>\n",
-       "      <td>-0.473370</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.067479</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Alice</td>\n",
-       "      <td>0.674788</td>\n",
-       "      <td>0.742267</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>-0.970850</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Sarah</td>\n",
-       "      <td>-9.708501</td>\n",
-       "      <td>-0.970850</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          a      b       c         e       out\n",
-       "0 -0.691674   True     Dan -6.916743 -0.691674\n",
-       "1  0.480099  False     Bob  4.800994  5.281093\n",
-       "2 -0.473370   True  Xavier -4.733700 -0.473370\n",
-       "3  0.067479   True   Alice  0.674788  0.742267\n",
-       "4 -0.970850  False   Sarah -9.708501 -0.970850"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/envs/rapids/lib/python3.7/site-packages/cudf/core/dataframe.py:2559: UserWarning: as_index==True not supported due to the lack of multi-index with legacy groupby function. Use hash method for multi-index\n",
-      "  \"as_index==True not supported due to the lack of \"\n"
-     ]
-    }
-   ],
-   "source": [
-    "grouped = df.groupby(['b'], method=\"cudf\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next we'll define a function to apply to each group independently. In this case, we'll take the rolling average of column `e`, and call that new column `rolling_avg_e`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def rolling_avg(e, rolling_avg_e):\n",
-    "    win_size = 3\n",
-    "    for i in range(cuda.threadIdx.x, len(e), cuda.blockDim.x):\n",
-    "        if i < win_size - 1:\n",
-    "            # If there is not enough data to fill the window,\n",
-    "            # take the average to be NaN\n",
-    "            rolling_avg_e[i] = np.nan\n",
-    "        else:\n",
-    "            total = 0\n",
-    "            for j in range(i - win_size + 1, i + 1):\n",
-    "                total += e[j]\n",
-    "            rolling_avg_e[i] = total / win_size"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can execute this with a very similar API to `apply_rows`. This time, though, it's going to execute independently for each group."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "      <th>e</th>\n",
-       "      <th>out</th>\n",
-       "      <th>rolling_avg_e</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0.480099</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Bob</td>\n",
-       "      <td>4.800994</td>\n",
-       "      <td>5.281093</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>-0.970850</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Sarah</td>\n",
-       "      <td>-9.708501</td>\n",
-       "      <td>-0.970850</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.801430</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Sarah</td>\n",
-       "      <td>8.014297</td>\n",
-       "      <td>8.815727</td>\n",
-       "      <td>1.035597</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>-0.933157</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Quinn</td>\n",
-       "      <td>-9.331571</td>\n",
-       "      <td>-0.933157</td>\n",
-       "      <td>-3.675258</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>-0.691674</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Dan</td>\n",
-       "      <td>-6.916743</td>\n",
-       "      <td>-0.691674</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>-0.473370</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Xavier</td>\n",
-       "      <td>-4.733700</td>\n",
-       "      <td>-0.473370</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>0.067479</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Alice</td>\n",
-       "      <td>0.674788</td>\n",
-       "      <td>0.742267</td>\n",
-       "      <td>-3.658552</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>0.837494</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Wendy</td>\n",
-       "      <td>8.374940</td>\n",
-       "      <td>9.212434</td>\n",
-       "      <td>1.438676</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>0.913899</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Ursula</td>\n",
-       "      <td>9.138987</td>\n",
-       "      <td>10.052885</td>\n",
-       "      <td>6.062905</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>-0.725581</td>\n",
-       "      <td>True</td>\n",
-       "      <td>George</td>\n",
-       "      <td>-7.255814</td>\n",
-       "      <td>-0.725581</td>\n",
-       "      <td>3.419371</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          a      b       c         e        out  rolling_avg_e\n",
-       "0  0.480099  False     Bob  4.800994   5.281093            NaN\n",
-       "1 -0.970850  False   Sarah -9.708501  -0.970850            NaN\n",
-       "2  0.801430  False   Sarah  8.014297   8.815727       1.035597\n",
-       "3 -0.933157  False   Quinn -9.331571  -0.933157      -3.675258\n",
-       "4 -0.691674   True     Dan -6.916743  -0.691674            NaN\n",
-       "5 -0.473370   True  Xavier -4.733700  -0.473370            NaN\n",
-       "6  0.067479   True   Alice  0.674788   0.742267      -3.658552\n",
-       "7  0.837494   True   Wendy  8.374940   9.212434       1.438676\n",
-       "8  0.913899   True  Ursula  9.138987  10.052885       6.062905\n",
-       "9 -0.725581   True  George -7.255814  -0.725581       3.419371"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results = grouped.apply_grouped(rolling_avg,\n",
-    "                               incols=['e'],\n",
-    "                               outcols=dict(rolling_avg_e=np.float64))\n",
-    "results"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Notice how, with a window size of three in the kernel, the first two values in each group for our output column are null."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Numba Kernels on CuPy Arrays\n",
-    "\n",
-    "We can also execute Numba kernels on CuPy NDArrays, again thanks to the `__cuda_array_interface__`. We can even run the same UDF on the Series and the CuPy array. First, we define a Series and then create a CuPy array from that Series."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ 1.,  2.,  3.,  4., 10.])"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import cupy as cp\n",
-    "\n",
-    "s = cudf.Series([1.0, 2, 3, 4, 10])\n",
-    "arr = cp.asarray(s)\n",
-    "arr"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, we define a UDF and execute it on our Series. We need to allocate a Series of the same size for our output, which we'll call `out`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0     5\n",
-       "1    10\n",
-       "2    15\n",
-       "3    20\n",
-       "4    50\n",
-       "dtype: int32"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from cudf.utils import cudautils\n",
-    "\n",
-    "@cuda.jit\n",
-    "def multiply_by_5(x, out):\n",
-    "    i = cuda.grid(1)\n",
-    "    if i < x.size:\n",
-    "        out[i] = x[i] * 5\n",
-    "        \n",
-    "out = cudf.Series(cudautils.zeros(len(s), dtype='int32'))\n",
-    "multiply_by_5.forall(s.shape[0])(s, out)\n",
-    "out"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finally, we execute the same function on our array. We allocate an empty array `out` to store our results."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ 5., 10., 15., 20., 50.])"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "out = cp.empty_like(arr)\n",
-    "multiply_by_5.forall(arr.size)(arr, out)\n",
-    "out"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Null Handling in UDFs\n",
-    "\n",
-    "Above, we covered most basic usage of UDFs with cuDF.\n",
-    "\n",
-    "The remainder of the guide focuses on considerations for executing UDFs on DataFrames containing null values. If your UDFs will read or write any column containing nulls, **you should read this section carefully**.\n",
-    "\n",
-    "Writing UDFs that can handle null values is complicated by the fact that a separate bitmask is used to identify when a value is valid and when it's null. By default, DataFrame methods for applying UDFs like `apply_rows` will handle nulls pessimistically (all rows with a null value will be removed from the output if they are used in the kernel). Exploring how not handling not pessimistically can lead to undefined behavior is outside the scope of this guide. Suffice it to say, pessimistic null handling is the safe and consistent approach. You can see an example below."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "</style>\n",
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-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>963</td>\n",
-       "      <td>1005</td>\n",
-       "      <td>997</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>977</td>\n",
-       "      <td>1026</td>\n",
-       "      <td>null</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>null</td>\n",
-       "      <td>1026</td>\n",
-       "      <td>1019</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1078</td>\n",
-       "      <td>null</td>\n",
-       "      <td>985</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>979</td>\n",
-       "      <td>982</td>\n",
-       "      <td>1011</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      a     b     c\n",
-       "0   963  1005   997\n",
-       "1   977  1026  null\n",
-       "2  null  1026  1019\n",
-       "3  1078  null   985\n",
-       "4   979   982  1011"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def gpu_add(a, b, out):\n",
-    "    for i, (x, y) in enumerate(zip(a, b)):\n",
-    "        out[i] = x + y\n",
-    "\n",
-    "df = randomdata(nrows=5, dtypes={'a':int, 'b':int, 'c':int}, seed=12)\n",
-    "df.loc[2, 'a'] = None\n",
-    "df.loc[3, 'b'] = None\n",
-    "df.loc[1, 'c'] = None\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In the dataframe above, there are three null values. Each column has a null in a different row. When we use our UDF with `apply_rows`, our output should have two nulls due to pessimistic null handling (because we're not using column `c`, the null value there does not matter to us)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>c</th>\n",
-       "      <th>out</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>963</td>\n",
-       "      <td>1005</td>\n",
-       "      <td>997</td>\n",
-       "      <td>1968.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>977</td>\n",
-       "      <td>1026</td>\n",
-       "      <td>null</td>\n",
-       "      <td>2003.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>null</td>\n",
-       "      <td>1026</td>\n",
-       "      <td>1019</td>\n",
-       "      <td>null</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1078</td>\n",
-       "      <td>null</td>\n",
-       "      <td>985</td>\n",
-       "      <td>null</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>979</td>\n",
-       "      <td>982</td>\n",
-       "      <td>1011</td>\n",
-       "      <td>1961.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      a     b     c     out\n",
-       "0   963  1005   997  1968.0\n",
-       "1   977  1026  null  2003.0\n",
-       "2  null  1026  1019    null\n",
-       "3  1078  null   985    null\n",
-       "4   979   982  1011  1961.0"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = df.apply_rows(gpu_add, \n",
-    "              incols=['a', 'b'],\n",
-    "              outcols={'out':np.float64},\n",
-    "              kwargs={})\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As expected, we end up with two nulls in our output. The null values from the columns we used propogated to our output, but the null from the column we ignored did not."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Operating on Null Values\n",
-    "\n",
-    "If you don't need to conditionally handle null values in your UDFs, feel free to skip these final two sections.\n",
-    "\n",
-    "As a developer or data scientist, you may sometimes need to write UDFs that operate on null values. This means you need to think about the null bitmask array when writing your UDF. As a note, cuDF allows you to turn off pessimistic null handling in `apply_rows`. Instead of doing this, if you need to operate on null values we recommend writing standard `Numba.cuda` kernels. To help you interact with null bitmasks from Python, cuDF provides the `mask_get` utility function. The following example illustrates how you can use `mask_get` in Numba kernels like we used earlier in this guide."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Standard Numba Kernels\n",
-    "\n",
-    "First, we import `mask_get` and create a DataFrame with some null values."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
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-       "      <th>0</th>\n",
-       "      <td>-0.691674315</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.480099393</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>null</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.067478787</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>null</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              a      b\n",
-       "0  -0.691674315   True\n",
-       "1   0.480099393  False\n",
-       "2          null   True\n",
-       "3   0.067478787   True\n",
-       "4          null  False"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from cudf.utils.cudautils import mask_get\n",
-    "\n",
-    "df = randomdata(nrows=10, dtypes={'a':float, 'b':bool}, seed=12)\n",
-    "df.loc[[2,4], 'a'] = None\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next, we'll define a simple kernel like before, with a couple of differences. This kernel needs access to the null bitmask, so we include a `validity_mask` argument. We also wrap our logic in a conditional based on the results of `mask_get`:\n",
-    "- If the result of `mask_get` for that index **is** valid (there is a value), do the multiplication\n",
-    "- If the result of `mask_get` for that index **is not** valid (it's null), set the output -999999"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@cuda.jit\n",
-    "def gpu_kernel_masked(in_col, validity_mask, out_col, multiplier):\n",
-    "    i = cuda.grid(1)\n",
-    "    if i < in_col.size:\n",
-    "        valid = mask_get(validity_mask, i)\n",
-    "        if valid:\n",
-    "            out_col[i] = in_col[i] * multiplier\n",
-    "        else:\n",
-    "            out_col[i] = -999999"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We now grab the underlying DeviceArrays and execute our kernel like we did previously, except that this time we also pass in the DeviceArray of our column's null mask. Because Numba doesn't yet handle masked GPU arrays, we can't directly pass our `Series` here."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>result</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>-0.691674315</td>\n",
-       "      <td>True</td>\n",
-       "      <td>-6.916743</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.480099393</td>\n",
-       "      <td>False</td>\n",
-       "      <td>4.800994</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>null</td>\n",
-       "      <td>True</td>\n",
-       "      <td>-999999.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.067478787</td>\n",
-       "      <td>True</td>\n",
-       "      <td>0.674788</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>null</td>\n",
-       "      <td>False</td>\n",
-       "      <td>-999999.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              a      b         result\n",
-       "0  -0.691674315   True      -6.916743\n",
-       "1   0.480099393  False       4.800994\n",
-       "2          null   True -999999.000000\n",
-       "3   0.067478787   True       0.674788\n",
-       "4          null  False -999999.000000"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import rmm # RAPIDS Memory Manager\n",
-    "\n",
-    "a_dary = df.a._column.data.mem\n",
-    "a_mask = df.a.nullmask.mem\n",
-    "output_dary = rmm.device_array_like(a_dary)\n",
-    "\n",
-    "gpu_kernel_masked.forall(output_dary.size)(a_dary, a_mask, output_dary, 10)\n",
-    "df['result'] = output_dary\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Summary\n",
-    "\n",
-    "This guide has covered a lot of content. At this point, you should hopefully feel comfortable writing UDFs (with or without null values) that operate on\n",
-    "\n",
-    "- Series\n",
-    "- DataFrame\n",
-    "- Rolling Windows\n",
-    "- GroupBy DataFrames\n",
-    "- CuPy NDArrays\n",
-    "- Numba DeviceNDArrays\n",
-    "\n",
-    "\n",
-    "For more information please see the [cuDF](https://docs.rapids.ai/api/cudf/nightly/), [Numba.cuda](https://numba.pydata.org/numba-doc/dev/cuda/index.html), and [CuPy](https://docs-cupy.chainer.org/en/stable/) documentation."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/cudf/source/io-supported-types.rst b/docs/cudf/source/io-supported-types.rst
deleted file mode 100644
index a74f3239044..00000000000
--- a/docs/cudf/source/io-supported-types.rst
+++ /dev/null
@@ -1,66 +0,0 @@
-I/O Supported dtypes
-====================
-
-The following table lists are compatible cudf types for each supported IO format.
-
-.. rst-class:: io-supported-types-table
-.. table::
-    :widths: 15 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
-
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+-------------------+--------+--------+---------+---------+
-    |                       |       CSV       |      Parquet    |       JSON       |       ORC       |  AVRO  |        HDF        |       DLPack    |      Feather      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | Data Type             | Writer | Reader | Writer | Reader | Writer¹ | Reader | Writer | Reader | Reader | Writer¹ | Reader¹ | Writer | Reader | Writer¹ | Reader¹ |
-    +=======================+========+========+========+========+=========+========+========+========+========+=========+=========+========+========+=========+=========+
-    | int8                  | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | int16                 | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | int32                 | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | int64                 | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | uint8                 | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ✅     | ❌     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | uint16                | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ✅     | ❌     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | uint32                | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ✅     | ❌     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | uint64                | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ❌     | ❌     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | float32               | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | float64               | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | bool                  | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ✅     | ✅     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | str                   | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | category              | ✅     | ❌     | ❌     | ❌     | ✅      | ❌     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | list                  | ❌     | ❌     | ✅     | ✅     | ✅      | ❌     | ❌     | ❌     | ❌     | ❌      | ❌      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | timedelta64[s]        | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | timedelta64[ms]       | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | timedelta64[us]       | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | timedelta64[ns]       | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | datetime64[s]         | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | datetime64[ms]        | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | datetime64[us]        | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | datetime64[ns]        | ✅     | ✅     | ✅     | ✅     | ✅      | ✅     | ✅     | ✅     | ✅     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | struct                | ❌     | ❌     | ✅     | ✅     | ❌      | ❌     | ❌     | ❌     | ❌     | ✅      | ✅      | ❌     | ❌     | ✅      | ✅      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-    | decimal64             | ❌     | ❌     | ✅     | ✅     | ❌      | ❌     | ❌     | ✅     | ❌     | ❌      | ❌      | ❌     | ❌     | ❌      | ❌      |
-    +-----------------------+--------+--------+--------+--------+---------+--------+--------+--------+--------+---------+---------+--------+--------+---------+---------+
-
-**Notes:**
-
-* [¹] - Not GPU-accelerated.
diff --git a/docs/cudf/source/io.rst b/docs/cudf/source/io.rst
deleted file mode 100644
index e88162d8f52..00000000000
--- a/docs/cudf/source/io.rst
+++ /dev/null
@@ -1,12 +0,0 @@
-~~~~~~~~~~~~~~
-Input / Output
-~~~~~~~~~~~~~~
-
-This page contains Input / Output related APIs in cuDF.
-
-.. toctree::
-   :maxdepth: 2
-   :caption: Contents:
-
-   io-supported-types.rst
-   io-gds-integration.rst
\ No newline at end of file
diff --git a/docs/cudf/source/user_guide/10min.ipynb b/docs/cudf/source/user_guide/10min.ipynb
index d31a3b426d7..a7e959a05a7 100644
--- a/docs/cudf/source/user_guide/10min.ipynb
+++ b/docs/cudf/source/user_guide/10min.ipynb
@@ -2524,7 +2524,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Applying functions to a `Series`. Note that applying user defined functions directly with Dask-cuDF is not yet implemented. For now, you can use [map_partitions](http://docs.dask.org/en/stable/dataframe-api.html#dask.dataframe.DataFrame.map_partitions) to apply a function to each partition of the distributed dataframe."
+    "Applying functions to a `Series`. Note that applying user defined functions directly with Dask-cuDF is not yet implemented. For now, you can use [map_partitions](http://docs.dask.org/en/stable/generated/dask.dataframe.DataFrame.map_partitions.html) to apply a function to each partition of the distributed dataframe."
    ]
   },
   {
diff --git a/docs/cudf/source/user_guide/groupby.md b/docs/cudf/source/user_guide/groupby.md
deleted file mode 100644
index 12d1c846329..00000000000
--- a/docs/cudf/source/user_guide/groupby.md
+++ /dev/null
@@ -1,200 +0,0 @@
-Using GroupBy
-=============
-
-cuDF supports a small (but important) subset of
-Pandas' [groupby API](https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html).
-
-## Summary of supported operations
-
-1. Grouping by one or more columns
-1. Basic aggregations such as "sum", "mean", etc.
-1. Quantile aggregation
-1. A "collect" or `list` aggregation for collecting values in a group into lists
-1. Automatic exclusion of columns with unsupported dtypes ("nuisance" columns) when aggregating
-1. Iterating over the groups of a GroupBy object
-1. `GroupBy.groups` API that returns a mapping of group keys to row labels
-1. `GroupBy.apply` API for performing arbitrary operations on each group. Note that
-   this has very limited functionality compared to the equivalent Pandas function.
-   See the section on [apply](#groupby-apply) for more details.
-1. `GroupBy.pipe` similar to [Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#piping-function-calls).
-
-## How to do Grouping
-
-A GroupBy object is created by grouping the values of a `Series` or `DataFrame`
-by one or more columns:
-
-```python
-import cudf
-
->>> df = cudf.DataFrame({'a': [1, 1, 1, 2, 2], 'b': [1, 1, 2, 2, 3], 'c': [1, 2, 3, 4, 5]})
->>> df
->>> gb1 = df.groupby('a')  # grouping by a single column
->>> gb2 = df.groupby(['a', 'b'])  # grouping by multiple columns
->>> gb3 = df.groupby(cudf.Series(['a', 'a', 'b', 'b', 'b']))  # grouping by an external column
-```
-
-``` warning::
-   cuDF uses `sort=False` by default to achieve better performance, which provides no gaurentee to the group order in outputs. This deviates from Pandas default behavior.
-
-   For example:
-
-   .. code-block:: python
-   
-      >>> df = cudf.DataFrame({'a' : [2, 2, 1], 'b' : [42, 21, 11]})
-      >>> df.groupby('a').sum()
-         b
-      a    
-      2  63
-      1  11
-      >>> df.to_pandas().groupby('a').sum()
-         b
-      a    
-      1  11
-      2  63
-   
-   Setting `sort=True` will produce Pandas-like output, but with some performance penalty:
-
-   .. code-block:: python
-   
-      >>> df.groupby('a', sort=True).sum()
-         b
-      a    
-      1  11
-      2  63
-
-```
-
-### Grouping by index levels
-
-You can also group by one or more levels of a MultiIndex:
-
-```python
->>> df = cudf.DataFrame(
-...     {'a': [1, 1, 1, 2, 2], 'b': [1, 1, 2, 2, 3], 'c': [1, 2, 3, 4, 5]}
-... ).set_index(['a', 'b'])
-...
->>> df.groupby(level='a')
-```
-
-### The `Grouper` object
-
-A `Grouper` can be used to disambiguate between columns and levels when they have the same name:
-
-```python
->>> df
-   b  c
-b
-1  1  1
-1  1  2
-1  2  3
-2  2  4
-2  3  5
->>> df.groupby('b', level='b')  # ValueError: Cannot specify both by and level
->>> df.groupby([cudf.Grouper(key='b'), cudf.Grouper(level='b')])  # OK
-```
-
-## Aggregation
-
-Aggregations on groups is supported via the `agg` method:
-
-```python
->>> df
-   a  b  c
-0  1  1  1
-1  1  1  2
-2  1  2  3
-3  2  2  4
-4  2  3  5
->>> df.groupby('a').agg('sum')
-   b  c
-a
-1  4  6
-2  5  9
->>> df.groupby('a').agg({'b': ['sum', 'min'], 'c': 'mean'})
-    b        c
-  sum min mean
-a
-1   4   1  2.0
-2   5   2  4.5
-```
-
-The following table summarizes the available aggregations and the types that support them:
-
-| Aggregations\dtypes | Numeric  | Datetime | String   | Categorical | List | Struct | Interval | Decimal |
-| ------------------- | -------- | -------  | -------- | ----------- | ---- | ------ | -------- | ------- |
-| count               | ✅       | ✅       | ✅       | ✅          |      |        |          | ✅      |
-| size                | ✅       | ✅       | ✅       | ✅          |      |        |          | ✅      |
-| sum                 | ✅       | ✅       |          |             |      |        |          | ✅      |
-| idxmin              | ✅       | ✅       |          |             |      |        |          | ✅      |
-| idxmax              | ✅       | ✅       |          |             |      |        |          | ✅      |
-| min                 | ✅       | ✅       | ✅       |             |      |        |          | ✅      |
-| max                 | ✅       | ✅       | ✅       |             |      |        |          | ✅      |
-| mean                | ✅       | ✅       |          |             |      |        |          |         |
-| var                 | ✅       | ✅       |          |             |      |        |          |         |
-| std                 | ✅       | ✅       |          |             |      |        |          |         |
-| quantile            | ✅       | ✅       |          |             |      |        |          |         |
-| median              | ✅       | ✅       |          |             |      |        |          |         |
-| nunique             | ✅       | ✅       | ✅       | ✅          |      |        |          | ✅      |
-| nth                 | ✅       | ✅       | ✅       |             |      |        |          | ✅      |
-| collect             | ✅       | ✅       | ✅       |             | ✅   |        |          | ✅      |
-| unique              | ✅       | ✅       | ✅       | ✅          |      |        |          |         |
-
-## GroupBy apply
-
-To apply function on each group, use the `GroupBy.apply()` method:
-
-```python
->>> df
-   a  b  c
-0  1  1  1
-1  1  1  2
-2  1  2  3
-3  2  2  4
-4  2  3  5
->>> df.groupby('a').apply(lambda x: x.max() - x.min())
-   a  b  c
-a
-0  0  1  2
-1  0  1  1
-```
-
-### Limitations
-
-* `apply` works by applying the provided function to each group sequentially,
-  and concatenating the results together. **This can be very slow**, especially
-  for a large number of small groups. For a small number of large groups, it
-  can give acceptable performance
-
-* The results may not always match Pandas exactly. For example, cuDF may return
-  a `DataFrame` containing a single column where Pandas returns a `Series`.
-  Some post-processing may be required to match Pandas behavior.
-
-* cuDF does not support some of the exceptional cases that Pandas supports with
-  `apply`, such as [`describe`](https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#flexible-apply).
-
-## Rolling window calculations
-
-Use the `GroupBy.rolling()` method to perform rolling window calculations on each group:
-
-```python
->>> df
-   a  b  c
-0  1  1  1
-1  1  1  2
-2  1  2  3
-3  2  2  4
-4  2  3  5
-```
-
-Rolling window sum on each group with a window size of 2:
-
-```python
->>> df.groupby('a').rolling(2).sum()
-        a     b     c
-a
-1 0  <NA>  <NA>  <NA>
-  1     2     2     3
-  2     2     3     5
-2 3  <NA>  <NA>  <NA>
-  4     4     5     9
-```
diff --git a/docs/cudf/source/user_guide/index.rst b/docs/cudf/source/user_guide/index.rst
index 4cd5eeb00d8..20ccaeac50a 100644
--- a/docs/cudf/source/user_guide/index.rst
+++ b/docs/cudf/source/user_guide/index.rst
@@ -10,4 +10,4 @@ User Guide
    10min-cudf-cupy.ipynb
    guide-to-udfs.ipynb
    Working-with-missing-data.ipynb
-   groupby
+   groupby.rst
diff --git a/python/cudf/requirements/cuda-11.0/dev_requirements.txt b/python/cudf/requirements/cuda-11.0/dev_requirements.txt
index efb22ddd5a4..f69c246832b 100644
--- a/python/cudf/requirements/cuda-11.0/dev_requirements.txt
+++ b/python/cudf/requirements/cuda-11.0/dev_requirements.txt
@@ -23,6 +23,7 @@ packaging
 pandas>=1.0,<1.3.0dev0
 pandoc==2.0a4
 protobuf
+pydata-sphinx-theme
 pyorc
 pytest
 pytest-benchmark
@@ -33,7 +34,6 @@ setuptools
 sphinx
 sphinx-copybutton
 sphinx-markdown-tables
-sphinx_rtd_theme
 sphinxcontrib-websupport
 transformers
 typing_extensions
diff --git a/python/cudf/requirements/cuda-11.2/dev_requirements.txt b/python/cudf/requirements/cuda-11.2/dev_requirements.txt
index cb88f74399f..e55dc2f921a 100644
--- a/python/cudf/requirements/cuda-11.2/dev_requirements.txt
+++ b/python/cudf/requirements/cuda-11.2/dev_requirements.txt
@@ -23,6 +23,7 @@ packaging
 pandas>=1.0,<1.3.0dev0
 pandoc==2.0a4
 protobuf
+pydata-sphinx-theme
 pyorc
 pytest
 pytest-benchmark
@@ -33,7 +34,6 @@ setuptools
 sphinx
 sphinx-copybutton
 sphinx-markdown-tables
-sphinx_rtd_theme
 sphinxcontrib-websupport
 transformers
 typing_extensions

From 98cdcdb5d1d89d108bed76c6bae1e13d297a3d84 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 12:28:15 -0700
Subject: [PATCH 20/49] update gitignore

---
 .gitignore | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index fabec763545..c523dcf37ff 100644
--- a/.gitignore
+++ b/.gitignore
@@ -161,4 +161,4 @@ dask-worker-space/
 **/*_pb2.py
 
 # Sphinx docs & build artifacts
-docs/cudf/source/api_docs/generated
\ No newline at end of file
+docs/cudf/source/api_docs/generated/*
\ No newline at end of file

From bd52cfc950333690f2b7a061953f0970d05551d1 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 12:39:37 -0700
Subject: [PATCH 21/49] revert setup.py changes

---
 python/cudf/setup.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/cudf/setup.py b/python/cudf/setup.py
index f0c5cda2b47..54921396b6f 100644
--- a/python/cudf/setup.py
+++ b/python/cudf/setup.py
@@ -218,7 +218,7 @@ def run(self):
         extensions,
         nthreads=nthreads,
         compiler_directives=dict(
-            profile=False, language_level=3, embedsignature=True, binding=True
+            profile=False, language_level=3, embedsignature=True
         ),
     ),
     packages=find_packages(include=["cudf", "cudf.*"]),

From b16b6933357a097065dfa155077f663fb24ada17 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 12:52:23 -0700
Subject: [PATCH 22/49] update

---
 docs/cudf/source/index.rst | 2 --
 1 file changed, 2 deletions(-)

diff --git a/docs/cudf/source/index.rst b/docs/cudf/source/index.rst
index 1201e9e7ed3..950694f69a7 100644
--- a/docs/cudf/source/index.rst
+++ b/docs/cudf/source/index.rst
@@ -10,8 +10,6 @@ Welcome to cuDF's documentation!
    user_guide/index
    basics/index
    api_docs/index
-   dask-cudf.rst
-   internals.rst
 
 
 Indices and tables

From bee5a3f5a8a31bfd7fc7326092b44425bf2a723d Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 12:53:12 -0700
Subject: [PATCH 23/49] update gitignore

---
 .gitignore | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index c523dcf37ff..aee3d072de2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -161,4 +161,5 @@ dask-worker-space/
 **/*_pb2.py
 
 # Sphinx docs & build artifacts
-docs/cudf/source/api_docs/generated/*
\ No newline at end of file
+docs/cudf/source/api_docs/generated/*
+docs/cudf/source/api_docs/api/*
\ No newline at end of file

From 412c56497b9bf53f2f9973508ced05e432fbddfa Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 20 Jul 2021 15:07:15 -0700
Subject: [PATCH 24/49] fix ymls

---
 conda/environments/cudf_dev_cuda11.0.yml | 2 +-
 conda/environments/cudf_dev_cuda11.2.yml | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/conda/environments/cudf_dev_cuda11.0.yml b/conda/environments/cudf_dev_cuda11.0.yml
index fbfc0fb8f9c..ceb63494561 100644
--- a/conda/environments/cudf_dev_cuda11.0.yml
+++ b/conda/environments/cudf_dev_cuda11.0.yml
@@ -56,7 +56,7 @@ dependencies:
   - nvtx>=0.2.1
   - cachetools
   - transformers
-  - pydata_sphinx_theme
+  - pydata-sphinx-theme
   - pip:
       - git+https://github.com/dask/dask.git@main
       - git+https://github.com/dask/distributed.git@main
diff --git a/conda/environments/cudf_dev_cuda11.2.yml b/conda/environments/cudf_dev_cuda11.2.yml
index c5dab7c9d52..61f88c08e24 100644
--- a/conda/environments/cudf_dev_cuda11.2.yml
+++ b/conda/environments/cudf_dev_cuda11.2.yml
@@ -56,7 +56,7 @@ dependencies:
   - nvtx>=0.2.1
   - cachetools
   - transformers
-  - pydata_sphinx_theme
+  - pydata-sphinx-theme
   - pip:
       - git+https://github.com/dask/dask.git@main
       - git+https://github.com/dask/distributed.git@main

From 27bfee51ef69f3590b7848389f871e50dce451e7 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Wed, 21 Jul 2021 12:13:34 -0700
Subject: [PATCH 25/49] remove not needed css file

---
 docs/cudf/source/conf.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index e40cd097693..11a81fcf5a0 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -242,7 +242,6 @@ def ignore_internal_references(app, env, node, contnode):
 
 
 def setup(app):
-    # app.add_css_file("params.css")
-    app.add_css_file("https://docs.rapids.ai/assets/css/custom.css")
+    app.add_css_file("params.css")
     app.connect("doctree-read", resolve_aliases)
     app.connect("missing-reference", ignore_internal_references)

From b6fc21f4c7f7478c528625c056c4279b68db9303 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Wed, 21 Jul 2021 13:07:33 -0700
Subject: [PATCH 26/49] add window

---
 docs/cudf/source/api_docs/index.rst  |  1 +
 docs/cudf/source/api_docs/window.rst | 88 +---------------------------
 2 files changed, 3 insertions(+), 86 deletions(-)

diff --git a/docs/cudf/source/api_docs/index.rst b/docs/cudf/source/api_docs/index.rst
index 41aa6288887..7948f6d240c 100644
--- a/docs/cudf/source/api_docs/index.rst
+++ b/docs/cudf/source/api_docs/index.rst
@@ -16,4 +16,5 @@ the left sidebar to see how various elements look on this theme.
     groupby
     general_functions
     general_utilities
+    window
 
diff --git a/docs/cudf/source/api_docs/window.rst b/docs/cudf/source/api_docs/window.rst
index 6fd8eb0d5f6..9f94f620949 100644
--- a/docs/cudf/source/api_docs/window.rst
+++ b/docs/cudf/source/api_docs/window.rst
@@ -1,20 +1,16 @@
-{{ header }}
-
 .. _api.window:
 
 ======
 Window
 ======
 
-Rolling objects are returned by ``.rolling`` calls: :func:`pandas.DataFrame.rolling`, :func:`pandas.Series.rolling`, etc.
-Expanding objects are returned by ``.expanding`` calls: :func:`pandas.DataFrame.expanding`, :func:`pandas.Series.expanding`, etc.
-ExponentialMovingWindow objects are returned by ``.ewm`` calls: :func:`pandas.DataFrame.ewm`, :func:`pandas.Series.ewm`, etc.
+Rolling objects are returned by ``.rolling`` calls: :func:`cudf.DataFrame.rolling`, :func:`cudf.Series.rolling`, etc.
 
 .. _api.functions_rolling:
 
 Rolling window functions
 ------------------------
-.. currentmodule:: pandas.core.window.rolling
+.. currentmodule:: cudf.core.window.rolling
 
 .. autosummary::
    :toctree: api/
@@ -22,87 +18,7 @@ Rolling window functions
    Rolling.count
    Rolling.sum
    Rolling.mean
-   Rolling.median
-   Rolling.var
-   Rolling.std
    Rolling.min
    Rolling.max
-   Rolling.corr
-   Rolling.cov
-   Rolling.skew
-   Rolling.kurt
    Rolling.apply
-   Rolling.aggregate
-   Rolling.quantile
-   Rolling.sem
-
-.. _api.functions_window:
-
-Weighted window functions
--------------------------
-.. currentmodule:: pandas.core.window.rolling
-
-.. autosummary::
-   :toctree: api/
-
-   Window.mean
-   Window.sum
-   Window.var
-   Window.std
-
-.. _api.functions_expanding:
-
-Expanding window functions
---------------------------
-.. currentmodule:: pandas.core.window.expanding
-
-.. autosummary::
-   :toctree: api/
-
-   Expanding.count
-   Expanding.sum
-   Expanding.mean
-   Expanding.median
-   Expanding.var
-   Expanding.std
-   Expanding.min
-   Expanding.max
-   Expanding.corr
-   Expanding.cov
-   Expanding.skew
-   Expanding.kurt
-   Expanding.apply
-   Expanding.aggregate
-   Expanding.quantile
-   Expanding.sem
-
-.. _api.functions_ewm:
-
-Exponentially-weighted window functions
----------------------------------------
-.. currentmodule:: pandas.core.window.ewm
-
-.. autosummary::
-   :toctree: api/
-
-   ExponentialMovingWindow.mean
-   ExponentialMovingWindow.std
-   ExponentialMovingWindow.var
-   ExponentialMovingWindow.corr
-   ExponentialMovingWindow.cov
-
-.. _api.indexers_window:
-
-Window indexer
---------------
-.. currentmodule:: pandas
-
-Base class for defining custom window boundaries.
-
-.. autosummary::
-   :toctree: api/
 
-   api.indexers.BaseIndexer
-   api.indexers.FixedForwardWindowIndexer
-   api.indexers.VariableOffsetWindowIndexer
-{"mode":"full","isActive":false}
\ No newline at end of file

From 15d6d72222694768c01e4c34f7eb4be1df36cbca Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Wed, 21 Jul 2021 14:44:41 -0700
Subject: [PATCH 27/49] add missing dataframe APIs

---
 docs/cudf/source/api_docs/dataframe.rst | 39 ++++++++++++++++++++++++-
 1 file changed, 38 insertions(+), 1 deletion(-)

diff --git a/docs/cudf/source/api_docs/dataframe.rst b/docs/cudf/source/api_docs/dataframe.rst
index 07fba0808e4..d2006adc6ca 100644
--- a/docs/cudf/source/api_docs/dataframe.rst
+++ b/docs/cudf/source/api_docs/dataframe.rst
@@ -94,6 +94,9 @@ Function application, GroupBy & window
 .. autosummary::
    :toctree: api/
 
+   DataFrame.apply
+   DataFrame.apply_chunks
+   DataFrame.apply_rows
    DataFrame.pipe
    DataFrame.agg
    DataFrame.groupby
@@ -126,6 +129,7 @@ Computations / descriptive stats
    DataFrame.prod
    DataFrame.product
    DataFrame.quantile
+   DataFrame.quantiles
    DataFrame.rank
    DataFrame.round
    DataFrame.skew
@@ -146,9 +150,12 @@ Reindexing / selection / label manipulation
    DataFrame.rename
    DataFrame.reset_index
    DataFrame.sample
+   DataFrame.searchsorted
    DataFrame.set_index
+   DataFrame.repeat
    DataFrame.tail
    DataFrame.take
+   DataFrame.tile
 
 .. _api.dataframe.missing:
 
@@ -161,6 +168,7 @@ Missing data handling
    DataFrame.fillna
    DataFrame.isna
    DataFrame.isnull
+   DataFrame.nans_to_nulls
    DataFrame.notna
    DataFrame.notnull
    DataFrame.replace
@@ -170,7 +178,11 @@ Reshaping, sorting, transposing
 .. autosummary::
    :toctree: api/
 
+   DataFrame.argsort
+   DataFrame.interleave_columns
+   DataFrame.partition_by_hash
    DataFrame.pivot
+   DataFrame.scatter_by_map
    DataFrame.sort_values
    DataFrame.sort_index
    DataFrame.nlargest
@@ -182,7 +194,7 @@ Reshaping, sorting, transposing
    DataFrame.T
    DataFrame.transpose
 
-Combining / comparing / joining / merging
+Combining / comparing / joining / merging / encoding
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 .. autosummary::
    :toctree: api/
@@ -192,6 +204,23 @@ Combining / comparing / joining / merging
    DataFrame.join
    DataFrame.merge
    DataFrame.update
+   DataFrame.label_encoding
+   DataFrame.one_hot_encoding
+
+Numerical operations
+~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   DataFrame.acos
+   DataFrame.asin
+   DataFrame.atan
+   DataFrame.cos
+   DataFrame.exp
+   DataFrame.log
+   DataFrame.sin
+   DataFrame.sqrt
+   DataFrame.tan
 
 Time Series-related
 ~~~~~~~~~~~~~~~~~~~
@@ -205,13 +234,21 @@ Serialization / IO / conversion
 .. autosummary::
    :toctree: api/
 
+   DataFrame.as_gpu_matrix
+   DataFrame.as_matrix
+   DataFrame.from_arrow
+   DataFrame.from_pandas
    DataFrame.from_records
+   DataFrame.hash_columns
+   DataFrame.to_arrow
+   DataFrame.to_dlpack
    DataFrame.to_parquet
    DataFrame.to_pickle
    DataFrame.to_csv
    DataFrame.to_hdf
    DataFrame.to_dict
    DataFrame.to_json
+   DataFrame.to_pandas
    DataFrame.to_feather
    DataFrame.to_records
    DataFrame.to_string

From 641864d0931de2a67815015edda3dbff73fa1377 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Wed, 21 Jul 2021 16:00:13 -0700
Subject: [PATCH 28/49] add missing Series APIs

---
 docs/cudf/source/api_docs/series.rst | 53 +++++++++++++++++++++++++---
 1 file changed, 48 insertions(+), 5 deletions(-)

diff --git a/docs/cudf/source/api_docs/series.rst b/docs/cudf/source/api_docs/series.rst
index 663570991ba..e5d8f79f75a 100644
--- a/docs/cudf/source/api_docs/series.rst
+++ b/docs/cudf/source/api_docs/series.rst
@@ -1,6 +1,3 @@
-.. meta::
-   :my-var: a-for-apple
-
 ======
 Series
 ======
@@ -40,6 +37,10 @@ Conversion
    Series.copy
    Series.to_list
    Series.__array__
+   Series.as_index
+   Series.as_mask
+   Series.scale
+
 
 Indexing, iteration
 -------------------
@@ -63,7 +64,9 @@ Binary operator functions
 
    Series.add
    Series.sub
+   Series.subtract
    Series.mul
+   Series.multiply
    Series.truediv
    Series.floordiv
    Series.mod
@@ -89,6 +92,7 @@ Function application, GroupBy & window
 .. autosummary::
    :toctree: api/
 
+   Series.applymap
    Series.map
    Series.groupby
    Series.rolling
@@ -104,6 +108,7 @@ Computations / descriptive stats
    Series.abs
    Series.all
    Series.any
+   Series.ceil
    Series.clip
    Series.corr
    Series.count
@@ -114,7 +119,9 @@ Computations / descriptive stats
    Series.cumsum
    Series.describe
    Series.diff
+   Series.digitize
    Series.factorize
+   Series.floor
    Series.kurt
    Series.max
    Series.mean
@@ -152,9 +159,13 @@ Reindexing / selection / label manipulation
    Series.reindex
    Series.rename
    Series.reset_index
+   Series.reverse
    Series.sample
+   Series.set_index
+   Series.set_mask
    Series.take
    Series.tail
+   Series.tile
    Series.truncate
    Series.where
    Series.mask
@@ -168,6 +179,7 @@ Missing data handling
    Series.fillna
    Series.isna
    Series.isnull
+   Series.nans_to_nulls
    Series.notna
    Series.notnull
    Series.replace
@@ -178,19 +190,38 @@ Reshaping, sorting
    :toctree: api/
 
    Series.argsort
+   Series.interleave_columns
    Series.sort_values
    Series.sort_index
    Series.explode
+   Series.scatter_by_map
    Series.searchsorted
    Series.repeat
 
-Combining / comparing / joining / merging
------------------------------------------
+Combining / comparing / joining / merging / encoding
+----------------------------------------------------
 .. autosummary::
    :toctree: api/
 
    Series.append
    Series.update
+   Series.label_encoding
+   Series.one_hot_encoding
+
+Numerical operations
+~~~~~~~~~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Series.acos
+   Series.asin
+   Series.atan
+   Series.cos
+   Series.exp
+   Series.log
+   Series.sin
+   Series.sqrt
+   Series.tan
 
 Time Series-related
 -------------------
@@ -424,7 +455,19 @@ Serialization / IO / conversion
 .. autosummary::
    :toctree: api/
 
+   Series.to_array
+   Series.to_arrow
+   Series.to_dlpack
    Series.to_frame
+   Series.to_gpu_array
    Series.to_hdf
    Series.to_json
+   Series.to_pandas
    Series.to_string
+   Series.from_arrow
+   Series.from_categorical
+   Series.from_masked_array
+   Series.from_pandas
+   Series.hash_encode
+   Series.hash_values
+   
\ No newline at end of file

From 590b8ee372af47a27f0b317dcea9cc2cb3f565ad Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Thu, 29 Jul 2021 18:24:57 -0700
Subject: [PATCH 29/49] add index template

---
 .../autosummary/class_without_autosummary.rst |  6 +++++
 docs/cudf/source/api_docs/index_objects.rst   | 27 ++++++++++---------
 docs/cudf/source/conf.py                      | 18 ++++++++++++-
 3 files changed, 37 insertions(+), 14 deletions(-)
 create mode 100644 docs/cudf/source/_templates/autosummary/class_without_autosummary.rst

diff --git a/docs/cudf/source/_templates/autosummary/class_without_autosummary.rst b/docs/cudf/source/_templates/autosummary/class_without_autosummary.rst
new file mode 100644
index 00000000000..b57a7ceebb0
--- /dev/null
+++ b/docs/cudf/source/_templates/autosummary/class_without_autosummary.rst
@@ -0,0 +1,6 @@
+{{ fullname }}
+{{ underline }}
+
+.. currentmodule:: {{ module }}
+
+.. autoclass:: {{ objname }}
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/index_objects.rst b/docs/cudf/source/api_docs/index_objects.rst
index 5bd11a97b62..2c5e4c6555b 100644
--- a/docs/cudf/source/api_docs/index_objects.rst
+++ b/docs/cudf/source/api_docs/index_objects.rst
@@ -20,18 +20,20 @@ Properties
 .. autosummary::
    :toctree: api/
 
-   Index.values
+   Index.empty
+   Index.gpu_values
    Index.is_monotonic
    Index.is_monotonic_increasing
    Index.is_monotonic_decreasing
    Index.is_unique
-   Index.shape
    Index.name
    Index.names
    Index.ndim
+   Index.nlevels
+   Index.shape
    Index.size
-   Index.empty
-   Index.memory_usage
+   Index.values
+   
 
 Modifying and computations
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -69,6 +71,13 @@ Missing values
    Index.isna
    Index.notna
 
+Memory usage
+~~~~~~~~~~~~
+.. autosummary::
+   :toctree: api/
+
+   Index.memory_usage
+
 Conversion
 ~~~~~~~~~~
 .. autosummary::
@@ -120,21 +129,13 @@ Numeric Index
 -------------
 .. autosummary::
    :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
 
    RangeIndex
    Int64Index
    UInt64Index
    Float64Index
 
-.. We need this autosummary so that the methods are generated.
-.. Separate block, since they aren't classes.
-
-.. autosummary::
-   :toctree: api/
-
-   RangeIndex.start
-   RangeIndex.stop
-   RangeIndex.step
 
 .. _api.categoricalindex:
 
diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index d2892a492b4..cda4edd9543 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -89,7 +89,7 @@
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
 # This patterns also effect to html_static_path and html_extra_path
-exclude_patterns = []
+exclude_patterns = ['venv', "**/includes/**",]
 
 # The name of the Pygments (syntax highlighting) style to use.
 pygments_style = "sphinx"
@@ -242,8 +242,24 @@ def ignore_internal_references(app, env, node, contnode):
         node["reftarget"] = ""
         return contnode
 
+def process_class_docstrings(app, what, name, obj, options, lines):
+    """
+    For those classes for which we use ::
+    :template: autosummary/class_without_autosummary.rst
+    the documented attributes/methods have to be listed in the class
+    docstring. However, if one of those lists is empty, we use 'None',
+    which then generates warnings in sphinx / ugly html output.
+    This "autodoc-process-docstring" event connector removes that part
+    from the processed docstring.
+    """
+    if what == "class":
+        if name in {"cudf.RangeIndex", "cudf.Int64Index", "cudf.UInt64Index", "cudf.Float64Index", "cudf.CategoricalIndex"}:
+
+            cut_index = lines.index(':Attributes:')
+            lines[:] = lines[:cut_index]
 
 def setup(app):
     app.add_css_file("params.css")
     app.connect("doctree-read", resolve_aliases)
     app.connect("missing-reference", ignore_internal_references)
+    app.connect("autodoc-process-docstring", process_class_docstrings)
\ No newline at end of file

From 6e8f6989eda547a215b074f5521bd403233c4bf7 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Thu, 29 Jul 2021 21:34:01 -0700
Subject: [PATCH 30/49] misc

---
 docs/cudf/source/api_docs/dataframe.rst | 2 +-
 docs/cudf/source/conf.py                | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/cudf/source/api_docs/dataframe.rst b/docs/cudf/source/api_docs/dataframe.rst
index d2006adc6ca..416e22a551b 100644
--- a/docs/cudf/source/api_docs/dataframe.rst
+++ b/docs/cudf/source/api_docs/dataframe.rst
@@ -195,7 +195,7 @@ Reshaping, sorting, transposing
    DataFrame.transpose
 
 Combining / comparing / joining / merging / encoding
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 .. autosummary::
    :toctree: api/
 
diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index cda4edd9543..7aebb6787d1 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -210,7 +210,7 @@
 numpydoc_show_inherited_class_members = True
 numpydoc_class_members_toctree = False
 
-autoclass_content = "init"
+autoclass_content = "class"
 
 # Replace API shorthands with fullname
 _reftarget_aliases = {

From 122b9818a91cf61b458ab8d2fcdbc0715d00ad7a Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Thu, 29 Jul 2021 21:58:31 -0700
Subject: [PATCH 31/49] add docstrings

---
 python/cudf/cudf/core/index.py | 200 +++++++++++++++++++++++++++++++++
 1 file changed, 200 insertions(+)

diff --git a/python/cudf/cudf/core/index.py b/python/cudf/cudf/core/index.py
index 691b6ab2e29..54aac63243a 100644
--- a/python/cudf/cudf/core/index.py
+++ b/python/cudf/cudf/core/index.py
@@ -2007,42 +2007,242 @@ def __init__(self, data=None, dtype=None, copy=False, name=None):
 
 
 class Int8Index(NumericIndex):
+    """
+    Immutable, ordered and sliceable sequence of labels.
+    The basic object storing row labels for all cuDF objects.
+    Int8Index is a special case of Index with purely
+    integer(``int8``) labels.
+
+    Parameters
+    ----------
+    data : array-like (1-dimensional)
+    dtype : NumPy dtype,
+            but not used.
+    copy : bool
+        Make a copy of input data.
+    name : object
+        Name to be stored in the index.
+
+    Returns
+    -------
+    Int8Index
+    """
     _dtype = np.int8
 
 
 class Int16Index(NumericIndex):
+    """
+    Immutable, ordered and sliceable sequence of labels.
+    The basic object storing row labels for all cuDF objects.
+    Int16Index is a special case of Index with purely
+    integer(``int16``) labels.
+
+    Parameters
+    ----------
+    data : array-like (1-dimensional)
+    dtype : NumPy dtype,
+            but not used.
+    copy : bool
+        Make a copy of input data.
+    name : object
+        Name to be stored in the index.
+
+    Returns
+    -------
+    Int16Index
+    """
     _dtype = np.int16
 
 
 class Int32Index(NumericIndex):
+    """
+    Immutable, ordered and sliceable sequence of labels.
+    The basic object storing row labels for all cuDF objects.
+    Int32Index is a special case of Index with purely
+    integer(``int32``) labels.
+
+    Parameters
+    ----------
+    data : array-like (1-dimensional)
+    dtype : NumPy dtype,
+            but not used.
+    copy : bool
+        Make a copy of input data.
+    name : object
+        Name to be stored in the index.
+
+    Returns
+    -------
+    Int32Index
+    """
     _dtype = np.int32
 
 
 class Int64Index(NumericIndex):
+    """
+    Immutable, ordered and sliceable sequence of labels.
+    The basic object storing row labels for all cuDF objects.
+    Int64Index is a special case of Index with purely
+    integer(``int64``) labels.
+
+    Parameters
+    ----------
+    data : array-like (1-dimensional)
+    dtype : NumPy dtype,
+            but not used.
+    copy : bool
+        Make a copy of input data.
+    name : object
+        Name to be stored in the index.
+
+    Returns
+    -------
+    Int64Index
+    """
     _dtype = np.int64
 
 
 class UInt8Index(NumericIndex):
+    """
+    Immutable, ordered and sliceable sequence of labels.
+    The basic object storing row labels for all cuDF objects.
+    UInt8Index is a special case of Index with purely
+    integer(``uint64``) labels.
+
+    Parameters
+    ----------
+    data : array-like (1-dimensional)
+    dtype : NumPy dtype,
+            but not used.
+    copy : bool
+        Make a copy of input data.
+    name : object
+        Name to be stored in the index.
+
+    Returns
+    -------
+    UInt8Index
+    """
     _dtype = np.uint8
 
 
 class UInt16Index(NumericIndex):
+    """
+    Immutable, ordered and sliceable sequence of labels.
+    The basic object storing row labels for all cuDF objects.
+    UInt16Index is a special case of Index with purely
+    integer(``uint16``) labels.
+
+    Parameters
+    ----------
+    data : array-like (1-dimensional)
+    dtype : NumPy dtype,
+            but not used.
+    copy : bool
+        Make a copy of input data.
+    name : object
+        Name to be stored in the index.
+
+    Returns
+    -------
+    UInt16Index
+    """
     _dtype = np.uint16
 
 
 class UInt32Index(NumericIndex):
+    """
+    Immutable, ordered and sliceable sequence of labels.
+    The basic object storing row labels for all cuDF objects.
+    UInt32Index is a special case of Index with purely
+    integer(``uint32``) labels.
+
+    Parameters
+    ----------
+    data : array-like (1-dimensional)
+    dtype : NumPy dtype,
+            but not used.
+    copy : bool
+        Make a copy of input data.
+    name : object
+        Name to be stored in the index.
+
+    Returns
+    -------
+    UInt32Index
+    """
     _dtype = np.uint32
 
 
 class UInt64Index(NumericIndex):
+    """
+    Immutable, ordered and sliceable sequence of labels.
+    The basic object storing row labels for all cuDF objects.
+    UInt64Index is a special case of Index with purely
+    integer(``uint64``) labels.
+
+    Parameters
+    ----------
+    data : array-like (1-dimensional)
+    dtype : NumPy dtype,
+            but not used.
+    copy : bool
+        Make a copy of input data.
+    name : object
+        Name to be stored in the index.
+
+    Returns
+    -------
+    UInt64Index
+    """
     _dtype = np.uint64
 
 
 class Float32Index(NumericIndex):
+    """
+    Immutable, ordered and sliceable sequence of labels.
+    The basic object storing row labels for all cuDF objects.
+    Float32Index is a special case of Index with purely
+    float(``float32``) labels.
+
+    Parameters
+    ----------
+    data : array-like (1-dimensional)
+    dtype : NumPy dtype,
+            but not used.
+    copy : bool
+        Make a copy of input data.
+    name : object
+        Name to be stored in the index.
+
+    Returns
+    -------
+    Float32Index
+    """
     _dtype = np.float32
 
 
 class Float64Index(NumericIndex):
+    """
+    Immutable, ordered and sliceable sequence of labels.
+    The basic object storing row labels for all cuDF objects.
+    Float64Index is a special case of Index with purely
+    float(``float64``) labels.
+
+    Parameters
+    ----------
+    data : array-like (1-dimensional)
+    dtype : NumPy dtype,
+            but not used.
+    copy : bool
+        Make a copy of input data.
+    name : object
+        Name to be stored in the index.
+
+    Returns
+    -------
+    Float64Index
+    """
     _dtype = np.float64
 
 

From 5f57b0e6c7ba073b7d0197316fc6120c3c399df7 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Thu, 29 Jul 2021 21:58:45 -0700
Subject: [PATCH 32/49] update conf.py

---
 docs/cudf/source/conf.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index 7aebb6787d1..4f3e300d193 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -253,7 +253,7 @@ def process_class_docstrings(app, what, name, obj, options, lines):
     from the processed docstring.
     """
     if what == "class":
-        if name in {"cudf.RangeIndex", "cudf.Int64Index", "cudf.UInt64Index", "cudf.Float64Index", "cudf.CategoricalIndex"}:
+        if name in {"cudf.RangeIndex", "cudf.Int64Index", "cudf.UInt64Index", "cudf.Float64Index", "cudf.CategoricalIndex", "cudf.IntervalIndex"}:
 
             cut_index = lines.index(':Attributes:')
             lines[:] = lines[:cut_index]

From f22166c63609ecfec99a24fb3f93b113022eda10 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Fri, 30 Jul 2021 15:54:27 -0700
Subject: [PATCH 33/49] fix Index

---
 docs/cudf/source/api_docs/index_objects.rst | 4 ++++
 docs/cudf/source/conf.py                    | 2 +-
 2 files changed, 5 insertions(+), 1 deletion(-)

diff --git a/docs/cudf/source/api_docs/index_objects.rst b/docs/cudf/source/api_docs/index_objects.rst
index 2c5e4c6555b..3679ac0a665 100644
--- a/docs/cudf/source/api_docs/index_objects.rst
+++ b/docs/cudf/source/api_docs/index_objects.rst
@@ -186,6 +186,7 @@ MultiIndex
 ----------
 .. autosummary::
    :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
 
    MultiIndex
 
@@ -198,6 +199,7 @@ MultiIndex constructors
    MultiIndex.from_tuples
    MultiIndex.from_product
    MultiIndex.from_frame
+   MultiIndex.from_arrow
 
 MultiIndex properties
 ~~~~~~~~~~~~~~~~~~~~~
@@ -231,6 +233,7 @@ DatetimeIndex
 -------------
 .. autosummary::
    :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
 
    DatetimeIndex
 
@@ -267,6 +270,7 @@ TimedeltaIndex
 --------------
 .. autosummary::
    :toctree: api/
+   :template: autosummary/class_without_autosummary.rst
 
    TimedeltaIndex
 
diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index 4f3e300d193..de056f48284 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -253,7 +253,7 @@ def process_class_docstrings(app, what, name, obj, options, lines):
     from the processed docstring.
     """
     if what == "class":
-        if name in {"cudf.RangeIndex", "cudf.Int64Index", "cudf.UInt64Index", "cudf.Float64Index", "cudf.CategoricalIndex", "cudf.IntervalIndex"}:
+        if name in {"cudf.RangeIndex", "cudf.Int64Index", "cudf.UInt64Index", "cudf.Float64Index", "cudf.CategoricalIndex", "cudf.IntervalIndex", "cudf.MultiIndex", "cudf.DatetimeIndex", "cudf.TimedeltaIndex", "cudf.TimedeltaIndex"}:
 
             cut_index = lines.index(':Attributes:')
             lines[:] = lines[:cut_index]

From 60754b40ad988b6b924635d83758c46c25095e16 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Fri, 30 Jul 2021 18:15:10 -0700
Subject: [PATCH 34/49] fix error in docs

---
 docs/cudf/source/api_docs/dataframe.rst     |   1 -
 docs/cudf/source/api_docs/groupby.rst       |   2 -
 docs/cudf/source/api_docs/index_objects.rst |   1 -
 docs/cudf/source/api_docs/series.rst        |   4 +-
 docs/cudf/source/user_guide/index.rst       |   1 -
 python/cudf/cudf/core/index.py              |  17 ++
 python/cudf/cudf/core/multiindex.py         | 176 +++++++++++++++++++-
 python/cudf/cudf/core/series.py             |  83 ++++-----
 8 files changed, 234 insertions(+), 51 deletions(-)

diff --git a/docs/cudf/source/api_docs/dataframe.rst b/docs/cudf/source/api_docs/dataframe.rst
index 416e22a551b..f5920c8f11c 100644
--- a/docs/cudf/source/api_docs/dataframe.rst
+++ b/docs/cudf/source/api_docs/dataframe.rst
@@ -243,7 +243,6 @@ Serialization / IO / conversion
    DataFrame.to_arrow
    DataFrame.to_dlpack
    DataFrame.to_parquet
-   DataFrame.to_pickle
    DataFrame.to_csv
    DataFrame.to_hdf
    DataFrame.to_dict
diff --git a/docs/cudf/source/api_docs/groupby.rst b/docs/cudf/source/api_docs/groupby.rst
index 3dcd7a9f014..27a314fa425 100644
--- a/docs/cudf/source/api_docs/groupby.rst
+++ b/docs/cudf/source/api_docs/groupby.rst
@@ -79,8 +79,6 @@ application to columns of a specific data type.
    DataFrameGroupBy.describe
    DataFrameGroupBy.ffill
    DataFrameGroupBy.fillna
-   DataFrameGroupBy.filter
-   DataFrameGroupBy.hist
    DataFrameGroupBy.idxmax
    DataFrameGroupBy.idxmin
    DataFrameGroupBy.nunique
diff --git a/docs/cudf/source/api_docs/index_objects.rst b/docs/cudf/source/api_docs/index_objects.rst
index 3679ac0a665..75d21021a91 100644
--- a/docs/cudf/source/api_docs/index_objects.rst
+++ b/docs/cudf/source/api_docs/index_objects.rst
@@ -59,7 +59,6 @@ Compatibility with MultiIndex
    :toctree: api/
 
    Index.set_names
-   Index.droplevel
 
 Missing values
 ~~~~~~~~~~~~~~
diff --git a/docs/cudf/source/api_docs/series.rst b/docs/cudf/source/api_docs/series.rst
index e5d8f79f75a..675d73ed9ff 100644
--- a/docs/cudf/source/api_docs/series.rst
+++ b/docs/cudf/source/api_docs/series.rst
@@ -166,7 +166,6 @@ Reindexing / selection / label manipulation
    Series.take
    Series.tail
    Series.tile
-   Series.truncate
    Series.where
    Series.mask
 
@@ -393,6 +392,7 @@ strings and apply several methods to it. These can be accessed like
     correct template (otherwise they would be created in the Series/Index class page)
 
 ..
+    .. currentmodule:: cudf
     .. autosummary::
        :toctree: api/
        :template: autosummary/accessor.rst
@@ -400,8 +400,6 @@ strings and apply several methods to it. These can be accessed like
        Series.str
        Series.cat
        Series.dt
-       Series.sparse
-       DataFrame.sparse
        Index.str
 
 .. _api.series.cat:
diff --git a/docs/cudf/source/user_guide/index.rst b/docs/cudf/source/user_guide/index.rst
index 20ccaeac50a..1061008eb3c 100644
--- a/docs/cudf/source/user_guide/index.rst
+++ b/docs/cudf/source/user_guide/index.rst
@@ -10,4 +10,3 @@ User Guide
    10min-cudf-cupy.ipynb
    guide-to-udfs.ipynb
    Working-with-missing-data.ipynb
-   groupby.rst
diff --git a/python/cudf/cudf/core/index.py b/python/cudf/cudf/core/index.py
index 54aac63243a..57937f247aa 100644
--- a/python/cudf/cudf/core/index.py
+++ b/python/cudf/cudf/core/index.py
@@ -2027,6 +2027,7 @@ class Int8Index(NumericIndex):
     -------
     Int8Index
     """
+
     _dtype = np.int8
 
 
@@ -2051,6 +2052,7 @@ class Int16Index(NumericIndex):
     -------
     Int16Index
     """
+
     _dtype = np.int16
 
 
@@ -2075,6 +2077,7 @@ class Int32Index(NumericIndex):
     -------
     Int32Index
     """
+
     _dtype = np.int32
 
 
@@ -2099,6 +2102,7 @@ class Int64Index(NumericIndex):
     -------
     Int64Index
     """
+
     _dtype = np.int64
 
 
@@ -2123,6 +2127,7 @@ class UInt8Index(NumericIndex):
     -------
     UInt8Index
     """
+
     _dtype = np.uint8
 
 
@@ -2147,6 +2152,7 @@ class UInt16Index(NumericIndex):
     -------
     UInt16Index
     """
+
     _dtype = np.uint16
 
 
@@ -2171,6 +2177,7 @@ class UInt32Index(NumericIndex):
     -------
     UInt32Index
     """
+
     _dtype = np.uint32
 
 
@@ -2195,6 +2202,7 @@ class UInt64Index(NumericIndex):
     -------
     UInt64Index
     """
+
     _dtype = np.uint64
 
 
@@ -2219,6 +2227,7 @@ class Float32Index(NumericIndex):
     -------
     Float32Index
     """
+
     _dtype = np.float32
 
 
@@ -2243,6 +2252,7 @@ class Float64Index(NumericIndex):
     -------
     Float64Index
     """
+
     _dtype = np.float64
 
 
@@ -2693,6 +2703,13 @@ def components(self):
 
     @property
     def inferred_freq(self):
+        """
+        Infers frequency of TimedeltaIndex.
+
+        Notes
+        -----
+        This property is currently not supported.
+        """
         raise NotImplementedError("inferred_freq is not yet supported")
 
 
diff --git a/python/cudf/cudf/core/multiindex.py b/python/cudf/cudf/core/multiindex.py
index 51423d604c2..decef4ab184 100644
--- a/python/cudf/cudf/core/multiindex.py
+++ b/python/cudf/cudf/core/multiindex.py
@@ -612,6 +612,30 @@ def to_arrow(self):
 
     @property
     def codes(self):
+        """
+        Returns the codes of the underlying MultiIndex.
+
+        Examples
+        --------
+        >>> import cudf
+        >>> df = cudf.DataFrame({'a':[1, 2, 3], 'b':[10, 11, 12]})
+        >>> cudf.MultiIndex.from_frame(df)
+        MultiIndex([(1, 10),
+                    (2, 11),
+                    (3, 12)],
+                names=['a', 'b'])
+        >>> midx = cudf.MultiIndex.from_frame(df)
+        >>> midx
+        MultiIndex([(1, 10),
+                    (2, 11),
+                    (3, 12)],
+                names=['a', 'b'])
+        >>> midx.codes
+           a  b
+        0  0  0
+        1  1  1
+        2  2  2
+        """
         if self._codes is None:
             self._compute_levels_and_codes()
         return self._codes
@@ -625,6 +649,37 @@ def nlevels(self):
 
     @property
     def levels(self):
+        """
+        Returns list of levels in the MultiIndex
+
+        Returns
+        -------
+        List of Series objects
+
+        Examples
+        --------
+        >>> import cudf
+        >>> df = cudf.DataFrame({'a':[1, 2, 3], 'b':[10, 11, 12]})
+        >>> cudf.MultiIndex.from_frame(df)
+        MultiIndex([(1, 10),
+                    (2, 11),
+                    (3, 12)],
+                names=['a', 'b'])
+        >>> midx = cudf.MultiIndex.from_frame(df)
+        >>> midx
+        MultiIndex([(1, 10),
+                    (2, 11),
+                    (3, 12)],
+                names=['a', 'b'])
+        >>> midx.levels
+        [0    1
+        1    2
+        2    3
+        dtype: int64, 0    10
+        1    11
+        2    12
+        dtype: int64]
+        """
         if self._levels is None:
             self._compute_levels_and_codes()
         return self._levels
@@ -1126,6 +1181,37 @@ def _concat(cls, objs):
 
     @classmethod
     def from_tuples(cls, tuples, names=None):
+        """
+        Convert list of tuples to MultiIndex.
+
+        Parameters
+        ----------
+        tuples : list / sequence of tuple-likes
+            Each tuple is the index of one row/column.
+        names : list / sequence of str, optional
+            Names for the levels in the index.
+
+        Returns
+        -------
+        MultiIndex
+
+        See Also
+        --------
+        MultiIndex.from_product : Make a MultiIndex from cartesian product
+                                  of iterables.
+        MultiIndex.from_frame : Make a MultiIndex from a DataFrame.
+
+        Examples
+        --------
+        >>> tuples = [(1, 'red'), (1, 'blue'),
+        ...           (2, 'red'), (2, 'blue')]
+        >>> cudf.MultiIndex.from_tuples(tuples, names=('number', 'color'))
+        MultiIndex([(1,  'red'),
+                    (1, 'blue'),
+                    (2,  'red'),
+                    (2, 'blue')],
+                   names=['number', 'color'])
+        """
         # Use Pandas for handling Python host objects
         pdi = pd.MultiIndex.from_tuples(tuples, names=names)
         result = cls.from_pandas(pdi)
@@ -1190,11 +1276,97 @@ def values(self):
         return self._source_data.values
 
     @classmethod
-    def from_frame(cls, dataframe, names=None):
-        return cls(source_data=dataframe, names=names)
+    def from_frame(cls, df, names=None):
+        """
+        Make a MultiIndex from a DataFrame.
+
+        Parameters
+        ----------
+        df : DataFrame
+            DataFrame to be converted to MultiIndex.
+        names : list-like, optional
+            If no names are provided, use the column names, or tuple of column
+            names if the columns is a MultiIndex. If a sequence, overwrite
+            names with the given sequence.
+
+        Returns
+        -------
+        MultiIndex
+            The MultiIndex representation of the given DataFrame.
+
+        See Also
+        --------
+        MultiIndex.from_tuples : Convert list of tuples to MultiIndex.
+        MultiIndex.from_product : Make a MultiIndex from cartesian product
+                                  of iterables.
+
+        Examples
+        --------
+        >>> import cudf
+        >>> df = cudf.DataFrame([['HI', 'Temp'], ['HI', 'Precip'],
+        ...                    ['NJ', 'Temp'], ['NJ', 'Precip']],
+        ...                   columns=['a', 'b'])
+        >>> df
+              a       b
+        0    HI    Temp
+        1    HI  Precip
+        2    NJ    Temp
+        3    NJ  Precip
+        >>> cudf.MultiIndex.from_frame(df)
+        MultiIndex([('HI',   'Temp'),
+                    ('HI', 'Precip'),
+                    ('NJ',   'Temp'),
+                    ('NJ', 'Precip')],
+                   names=['a', 'b'])
+
+        Using explicit names, instead of the column names
+
+        >>> cudf.MultiIndex.from_frame(df, names=['state', 'observation'])
+        MultiIndex([('HI',   'Temp'),
+                    ('HI', 'Precip'),
+                    ('NJ',   'Temp'),
+                    ('NJ', 'Precip')],
+                   names=['state', 'observation'])
+        """
+        return cls(source_data=df, names=names)
 
     @classmethod
     def from_product(cls, arrays, names=None):
+        """
+        Make a MultiIndex from the cartesian product of multiple iterables.
+
+        Parameters
+        ----------
+        iterables : list / sequence of iterables
+            Each iterable has unique labels for each level of the index.
+        names : list / sequence of str, optional
+            Names for the levels in the index.
+            If not explicitly provided, names will be inferred from the
+            elements of iterables if an element has a name attribute
+
+        Returns
+        -------
+        MultiIndex
+
+        See Also
+        --------
+        MultiIndex.from_tuples : Convert list of tuples to MultiIndex.
+        MultiIndex.from_frame : Make a MultiIndex from a DataFrame.
+
+        Examples
+        --------
+        >>> numbers = [0, 1, 2]
+        >>> colors = ['green', 'purple']
+        >>> cudf.MultiIndex.from_product([numbers, colors],
+        ...                            names=['number', 'color'])
+        MultiIndex([(0,  'green'),
+                    (0, 'purple'),
+                    (1,  'green'),
+                    (1, 'purple'),
+                    (2,  'green'),
+                    (2, 'purple')],
+                   names=['number', 'color'])
+        """
         # Use Pandas for handling Python host objects
         pdi = pd.MultiIndex.from_product(arrays, names=names)
         result = cls.from_pandas(pdi)
diff --git a/python/cudf/cudf/core/series.py b/python/cudf/cudf/core/series.py
index fb197fbc90d..15d6d827ba0 100644
--- a/python/cudf/cudf/core/series.py
+++ b/python/cudf/cudf/core/series.py
@@ -64,6 +64,48 @@
 
 
 class Series(SingleColumnFrame, Serializable):
+    """
+    One-dimensional GPU array (including time series).
+
+    Labels need not be unique but must be a hashable type. The object
+    supports both integer- and label-based indexing and provides a
+    host of methods for performing operations involving the index.
+    Statistical methods from ndarray have been overridden to
+    automatically exclude missing data (currently represented
+    as null/NaN).
+
+    Operations between Series (`+`, `-`, `/`, `*`, `**`) align
+    values based on their associated index values-– they need
+    not be the same length. The result index will be the
+    sorted union of the two indexes.
+
+    ``Series`` objects are used as columns of ``DataFrame``.
+
+    Parameters
+    ----------
+    data : array-like, Iterable, dict, or scalar value
+        Contains data stored in Series.
+
+    index : array-like or Index (1d)
+        Values must be hashable and have the same length
+        as data. Non-unique index values are allowed. Will
+        default to RangeIndex (0, 1, 2, …, n) if not provided.
+        If both a dict and index sequence are used, the index will
+        override the keys found in the dict.
+
+    dtype : str, numpy.dtype, or ExtensionDtype, optional
+        Data type for the output Series. If not specified,
+        this will be inferred from data.
+
+    name : str, optional
+        The name to give to the Series.
+
+    nan_as_null : bool, Default True
+        If ``None``/``True``, converts ``np.nan`` values to
+        ``null`` values.
+        If ``False``, leaves ``np.nan`` values as is.
+    """
+
     # The `constructor*` properties are used by `dask` (and `dask_cudf`)
     @property
     def _constructor(self):
@@ -171,47 +213,6 @@ def from_masked_array(cls, data, mask, null_count=None):
     def __init__(
         self, data=None, index=None, dtype=None, name=None, nan_as_null=True,
     ):
-        """
-        One-dimensional GPU array (including time series).
-
-        Labels need not be unique but must be a hashable type. The object
-        supports both integer- and label-based indexing and provides a
-        host of methods for performing operations involving the index.
-        Statistical methods from ndarray have been overridden to
-        automatically exclude missing data (currently represented
-        as null/NaN).
-
-        Operations between Series (`+`, `-`, `/`, `*`, `**`) align
-        values based on their associated index values-– they need
-        not be the same length. The result index will be the
-        sorted union of the two indexes.
-
-        ``Series`` objects are used as columns of ``DataFrame``.
-
-        Parameters
-        ----------
-        data : array-like, Iterable, dict, or scalar value
-            Contains data stored in Series.
-
-        index : array-like or Index (1d)
-            Values must be hashable and have the same length
-            as data. Non-unique index values are allowed. Will
-            default to RangeIndex (0, 1, 2, …, n) if not provided.
-            If both a dict and index sequence are used, the index will
-            override the keys found in the dict.
-
-        dtype : str, numpy.dtype, or ExtensionDtype, optional
-            Data type for the output Series. If not specified,
-            this will be inferred from data.
-
-        name : str, optional
-            The name to give to the Series.
-
-        nan_as_null : bool, Default True
-            If ``None``/``True``, converts ``np.nan`` values to
-            ``null`` values.
-            If ``False``, leaves ``np.nan`` values as is.
-        """
         if isinstance(data, pd.Series):
             if name is None:
                 name = data.name

From 1386ff2ed9b02cc8a8133ed0c8274c32ae45acf9 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Mon, 2 Aug 2021 18:24:58 -0700
Subject: [PATCH 35/49] fix autosummary with workarounds

---
 .../autosummary/class_with_autosummary.rst    | 33 +++++++++++++++++++
 docs/cudf/source/api_docs/series.rst          |  7 ++++
 docs/cudf/source/conf.py                      | 10 ++++--
 3 files changed, 47 insertions(+), 3 deletions(-)
 create mode 100644 docs/cudf/source/_templates/autosummary/class_with_autosummary.rst

diff --git a/docs/cudf/source/_templates/autosummary/class_with_autosummary.rst b/docs/cudf/source/_templates/autosummary/class_with_autosummary.rst
new file mode 100644
index 00000000000..f86822bc567
--- /dev/null
+++ b/docs/cudf/source/_templates/autosummary/class_with_autosummary.rst
@@ -0,0 +1,33 @@
+{% extends "!autosummary/class.rst" %}
+
+{% block methods %}
+{% if methods %}
+
+..
+   HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+   .. autosummary::
+      :toctree:
+      {% for item in all_methods %}
+      {%- if not item.startswith('_') or item in ['__call__'] %}
+      {{ name }}.{{ item }}
+      {%- endif -%}
+      {%- endfor %}
+
+{% endif %}
+{% endblock %}
+
+{% block attributes %}
+{% if attributes %}
+
+..
+   HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+   .. autosummary::
+      :toctree:
+      {% for item in all_attributes %}
+      {%- if not item.startswith('_') %}
+      {{ name }}.{{ item }}
+      {%- endif -%}
+      {%- endfor %}
+
+{% endif %}
+{% endblock %}
\ No newline at end of file
diff --git a/docs/cudf/source/api_docs/series.rst b/docs/cudf/source/api_docs/series.rst
index 675d73ed9ff..ffa809268f3 100644
--- a/docs/cudf/source/api_docs/series.rst
+++ b/docs/cudf/source/api_docs/series.rst
@@ -7,6 +7,7 @@ Constructor
 -----------
 .. autosummary::
    :toctree: api/
+   :template: autosummary/class_with_autosummary.rst
 
    Series
 
@@ -19,14 +20,20 @@ Attributes
 
    Series.index
    Series.values
+   Series.data
    Series.dtype
    Series.shape
    Series.ndim
+   Series.nullable
+   Series.nullmask
+   Series.null_count
    Series.size
    Series.memory_usage
    Series.has_nulls
    Series.empty
    Series.name
+   Series.valid_count
+   Series.values_host
 
 Conversion
 ----------
diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index de056f48284..0f85fd09399 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -209,6 +209,7 @@
 # Config numpydoc
 numpydoc_show_inherited_class_members = True
 numpydoc_class_members_toctree = False
+numpydoc_attributes_as_param_list = False
 
 autoclass_content = "class"
 
@@ -255,11 +256,14 @@ def process_class_docstrings(app, what, name, obj, options, lines):
     if what == "class":
         if name in {"cudf.RangeIndex", "cudf.Int64Index", "cudf.UInt64Index", "cudf.Float64Index", "cudf.CategoricalIndex", "cudf.IntervalIndex", "cudf.MultiIndex", "cudf.DatetimeIndex", "cudf.TimedeltaIndex", "cudf.TimedeltaIndex"}:
 
-            cut_index = lines.index(':Attributes:')
-            lines[:] = lines[:cut_index]
+            # cut_index = lines.index(':Attributes:')
+            # lines[:] = lines[:cut_index]
+            pass
+
+
 
 def setup(app):
     app.add_css_file("params.css")
     app.connect("doctree-read", resolve_aliases)
     app.connect("missing-reference", ignore_internal_references)
-    app.connect("autodoc-process-docstring", process_class_docstrings)
\ No newline at end of file
+    app.connect("autodoc-process-docstring", process_class_docstrings)

From 0a5ed1632af8a1e53af7370238aed7f89e056609 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Mon, 2 Aug 2021 19:14:18 -0700
Subject: [PATCH 36/49] refactor init docs

---
 python/cudf/cudf/core/column/categorical.py | 134 +++++-----
 python/cudf/cudf/core/column/datetime.py    |  24 +-
 python/cudf/cudf/core/column/numerical.py   |  19 +-
 python/cudf/cudf/core/column/string.py      |  41 +--
 python/cudf/cudf/core/column/timedelta.py   |  35 +--
 python/cudf/cudf/core/frame.py              |   6 +
 python/cudf/cudf/core/groupby/groupby.py    | 282 ++++++++++----------
 python/cudf/cudf/core/index.py              |   2 +-
 python/cudf/cudf/core/series.py             |   6 +-
 python/cudf/cudf/core/tools/datetimes.py    | 120 ++++-----
 python/cudf/cudf/core/window/rolling.py     |  15 +-
 11 files changed, 351 insertions(+), 333 deletions(-)

diff --git a/python/cudf/cudf/core/column/categorical.py b/python/cudf/cudf/core/column/categorical.py
index 48398e03b2d..f435e0fa88c 100644
--- a/python/cudf/cudf/core/column/categorical.py
+++ b/python/cudf/cudf/core/column/categorical.py
@@ -49,62 +49,63 @@
 
 
 class CategoricalAccessor(ColumnMethods):
+    """
+    Accessor object for categorical properties of the Series values.
+    Be aware that assigning to `categories` is a inplace operation,
+    while all methods return new categorical data per default.
+
+    Parameters
+    ----------
+    column : Column
+    parent : Series or CategoricalIndex
+
+    Examples
+    --------
+    >>> s = cudf.Series([1,2,3], dtype='category')
+    >>> s
+    >>> s
+    0    1
+    1    2
+    2    3
+    dtype: category
+    Categories (3, int64): [1, 2, 3]
+    >>> s.cat.categories
+    Int64Index([1, 2, 3], dtype='int64')
+    >>> s.cat.reorder_categories([3,2,1])
+    0    1
+    1    2
+    2    3
+    dtype: category
+    Categories (3, int64): [3, 2, 1]
+    >>> s.cat.remove_categories([1])
+    0    <NA>
+    1       2
+    2       3
+    dtype: category
+    Categories (2, int64): [2, 3]
+    >>> s.cat.set_categories(list('abcde'))
+    0    <NA>
+    1    <NA>
+    2    <NA>
+    dtype: category
+    Categories (5, object): ['a', 'b', 'c', 'd', 'e']
+    >>> s.cat.as_ordered()
+    0    1
+    1    2
+    2    3
+    dtype: category
+    Categories (3, int64): [1 < 2 < 3]
+    >>> s.cat.as_unordered()
+    0    1
+    1    2
+    2    3
+    dtype: category
+    Categories (3, int64): [1, 2, 3]
+    """
+
     _column: CategoricalColumn
 
     def __init__(self, parent: SeriesOrIndex):
-        """
-        Accessor object for categorical properties of the Series values.
-        Be aware that assigning to `categories` is a inplace operation,
-        while all methods return new categorical data per default.
-
-        Parameters
-        ----------
-        column : Column
-        parent : Series or CategoricalIndex
-
-        Examples
-        --------
-        >>> s = cudf.Series([1,2,3], dtype='category')
-        >>> s
-        >>> s
-        0    1
-        1    2
-        2    3
-        dtype: category
-        Categories (3, int64): [1, 2, 3]
-        >>> s.cat.categories
-        Int64Index([1, 2, 3], dtype='int64')
-        >>> s.cat.reorder_categories([3,2,1])
-        0    1
-        1    2
-        2    3
-        dtype: category
-        Categories (3, int64): [3, 2, 1]
-        >>> s.cat.remove_categories([1])
-        0    <NA>
-        1       2
-        2       3
-        dtype: category
-        Categories (2, int64): [2, 3]
-        >>> s.cat.set_categories(list('abcde'))
-        0    <NA>
-        1    <NA>
-        2    <NA>
-        dtype: category
-        Categories (5, object): ['a', 'b', 'c', 'd', 'e']
-        >>> s.cat.as_ordered()
-        0    1
-        1    2
-        2    3
-        dtype: category
-        Categories (3, int64): [1 < 2 < 3]
-        >>> s.cat.as_unordered()
-        0    1
-        1    2
-        2    3
-        dtype: category
-        Categories (3, int64): [1, 2, 3]
-        """
         if not is_categorical_dtype(parent.dtype):
             raise AttributeError(
                 "Can only use .cat accessor with a 'category' dtype"
@@ -648,7 +649,19 @@ def reorder_categories(
 
 
 class CategoricalColumn(column.ColumnBase):
-    """Implements operations for Columns of Categorical type
+    """
+    Implements operations for Columns of Categorical type
+
+    Parameters
+    ----------
+    dtype : CategoricalDtype
+    mask : Buffer
+        The validity mask
+    offset : int
+        Data offset
+    children : Tuple[ColumnBase]
+        Two non-null columns containing the categories and codes
+        respectively
     """
 
     dtype: cudf.core.dtypes.CategoricalDtype
@@ -664,18 +677,7 @@ def __init__(
         null_count: int = None,
         children: Tuple["column.ColumnBase", ...] = (),
     ):
-        """
-        Parameters
-        ----------
-        dtype : CategoricalDtype
-        mask : Buffer
-            The validity mask
-        offset : int
-            Data offset
-        children : Tuple[ColumnBase]
-            Two non-null columns containing the categories and codes
-            respectively
-        """
+
         if size is None:
             for child in children:
                 assert child.offset == 0
diff --git a/python/cudf/cudf/core/column/datetime.py b/python/cudf/cudf/core/column/datetime.py
index f3d1880b290..623d0e43f5d 100644
--- a/python/cudf/cudf/core/column/datetime.py
+++ b/python/cudf/cudf/core/column/datetime.py
@@ -52,6 +52,19 @@
 
 
 class DatetimeColumn(column.ColumnBase):
+    """
+    A Column implementation for Date-time types.
+
+    Parameters
+    ----------
+    data : Buffer
+        The datetime values
+    dtype : np.dtype
+        The data type
+    mask : Buffer; optional
+        The validity mask
+    """
+
     def __init__(
         self,
         data: Buffer,
@@ -61,16 +74,7 @@ def __init__(
         offset: int = 0,
         null_count: int = None,
     ):
-        """
-        Parameters
-        ----------
-        data : Buffer
-            The datetime values
-        dtype : np.dtype
-            The data type
-        mask : Buffer; optional
-            The validity mask
-        """
+
         dtype = np.dtype(dtype)
         if data.size % dtype.itemsize:
             raise ValueError("Buffer size must be divisible by element size")
diff --git a/python/cudf/cudf/core/column/numerical.py b/python/cudf/cudf/core/column/numerical.py
index a3f4a82a7dc..29211b0f855 100644
--- a/python/cudf/cudf/core/column/numerical.py
+++ b/python/cudf/cudf/core/column/numerical.py
@@ -36,6 +36,17 @@
 
 
 class NumericalColumn(NumericalBaseColumn):
+    """
+    A Column object for Numeric types.
+
+    Parameters
+    ----------
+    data : Buffer
+    dtype : np.dtype
+        The dtype associated with the data Buffer
+    mask : Buffer, optional
+    """
+
     def __init__(
         self,
         data: Buffer,
@@ -45,14 +56,6 @@ def __init__(
         offset: int = 0,
         null_count: int = None,
     ):
-        """
-        Parameters
-        ----------
-        data : Buffer
-        dtype : np.dtype
-            The dtype associated with the data Buffer
-        mask : Buffer, optional
-        """
         dtype = np.dtype(dtype)
         if data.size % dtype.itemsize:
             raise ValueError("Buffer size must be divisible by element size")
diff --git a/python/cudf/cudf/core/column/string.py b/python/cudf/cudf/core/column/string.py
index 92c57477465..d90afdb7717 100644
--- a/python/cudf/cudf/core/column/string.py
+++ b/python/cudf/cudf/core/column/string.py
@@ -98,17 +98,18 @@ def str_to_boolean(column: StringColumn):
 
 
 class StringMethods(ColumnMethods):
+    """
+    Vectorized string functions for Series and Index.
+
+    This mimics pandas ``df.str`` interface. nulls stay null
+    unless handled otherwise by a particular method.
+    Patterned after Python’s string methods, with some
+    inspiration from R’s stringr package.
+    """
+
     _column: StringColumn
 
     def __init__(self, parent):
-        """
-        Vectorized string functions for Series and Index.
-
-        This mimics pandas ``df.str`` interface. nulls stay null
-        unless handled otherwise by a particular method.
-        Patterned after Python’s string methods, with some
-        inspiration from R’s stringr package.
-        """
         value_type = (
             parent.dtype.leaf_type
             if is_list_dtype(parent.dtype)
@@ -4861,7 +4862,18 @@ def _expected_types_format(types):
 
 
 class StringColumn(column.ColumnBase):
-    """Implements operations for Columns of String type
+    """
+    Implements operations for Columns of String type
+
+    Parameters
+    ----------
+    mask : Buffer
+        The validity mask
+    offset : int
+        Data offset
+    children : Tuple[Column]
+        Two non-null columns containing the string data and offsets
+        respectively
     """
 
     _start_offset: Optional[int]
@@ -4876,17 +4888,6 @@ def __init__(
         null_count: int = None,
         children: Tuple["column.ColumnBase", ...] = (),
     ):
-        """
-        Parameters
-        ----------
-        mask : Buffer
-            The validity mask
-        offset : int
-            Data offset
-        children : Tuple[Column]
-            Two non-null columns containing the string data and offsets
-            respectively
-        """
         dtype = np.dtype("object")
 
         if size is None:
diff --git a/python/cudf/cudf/core/column/timedelta.py b/python/cudf/cudf/core/column/timedelta.py
index a27c20cc50c..b73353dd720 100644
--- a/python/cudf/cudf/core/column/timedelta.py
+++ b/python/cudf/cudf/core/column/timedelta.py
@@ -34,6 +34,24 @@
 
 
 class TimeDeltaColumn(column.ColumnBase):
+    """
+    Parameters
+    ----------
+    data : Buffer
+        The Timedelta values
+    dtype : np.dtype
+        The data type
+    size : int
+        Size of memory allocation.
+    mask : Buffer; optional
+        The validity mask
+    offset : int
+        Data offset
+    null_count : int, optional
+        The number of null values.
+        If None, it is calculated automatically.
+    """
+
     def __init__(
         self,
         data: Buffer,
@@ -43,23 +61,6 @@ def __init__(
         offset: int = 0,
         null_count: int = None,
     ):
-        """
-        Parameters
-        ----------
-        data : Buffer
-            The Timedelta values
-        dtype : np.dtype
-            The data type
-        size : int
-            Size of memory allocation.
-        mask : Buffer; optional
-            The validity mask
-        offset : int
-            Data offset
-        null_count : int, optional
-            The number of null values.
-            If None, it is calculated automatically.
-        """
         dtype = np.dtype(dtype)
         if data.size % dtype.itemsize:
             raise ValueError("Buffer size must be divisible by element size")
diff --git a/python/cudf/cudf/core/frame.py b/python/cudf/cudf/core/frame.py
index 6ecb0bcc139..9759d3e9328 100644
--- a/python/cudf/cudf/core/frame.py
+++ b/python/cudf/cudf/core/frame.py
@@ -3642,6 +3642,12 @@ def shape(self):
         return (len(self),)
 
     def __iter__(self):
+        """
+        Iterating over a GPU object is not effecient and hence not supported.
+
+        Consider using ``.to_arrow()``, ``.to_pandas()`` or ``.values_host``
+        if you wish to iterate over the values.
+        """
         cudf.utils.utils.raise_iteration_error(obj=self)
 
     def __len__(self):
diff --git a/python/cudf/cudf/core/groupby/groupby.py b/python/cudf/cudf/core/groupby/groupby.py
index 29c29691389..3c3743bd646 100644
--- a/python/cudf/cudf/core/groupby/groupby.py
+++ b/python/cudf/cudf/core/groupby/groupby.py
@@ -1018,93 +1018,93 @@ def _mimic_pandas_order(
 
 
 class DataFrameGroupBy(GroupBy, GetAttrGetItemMixin):
+    """
+    Group DataFrame using a mapper or by a Series of columns.
+
+    A groupby operation involves some combination of splitting the object,
+    applying a function, and combining the results. This can be used to
+    group large amounts of data and compute operations on these groups.
+
+    Parameters
+    ----------
+    by : mapping, function, label, or list of labels
+        Used to determine the groups for the groupby. If by is a
+        function, it’s called on each value of the object’s index.
+        If a dict or Series is passed, the Series or dict VALUES will
+        be used to determine the groups (the Series’ values are first
+        aligned; see .align() method). If a cupy array is passed, the
+        values are used as-is determine the groups. A label or list
+        of labels may be passed to group by the columns in self.
+        Notice that a tuple is interpreted as a (single) key.
+    level : int, level name, or sequence of such, default None
+        If the axis is a MultiIndex (hierarchical), group by a particular
+        level or levels.
+    as_index : bool, default True
+        For aggregated output, return object with group labels as
+        the index. Only relevant for DataFrame input.
+        as_index=False is effectively “SQL-style” grouped output.
+    sort : bool, default False
+        Sort result by group key. Differ from Pandas, cudf defaults to
+        ``False`` for better performance. Note this does not influence
+        the order of observations within each group. Groupby preserves
+        the order of rows within each group.
+    dropna : bool, optional
+        If True (default), do not include the "null" group.
+
+    Returns
+    -------
+        DataFrameGroupBy
+            Returns a groupby object that contains information
+            about the groups.
+
+    Examples
+    --------
+    >>> import cudf
+    >>> import pandas as pd
+    >>> df = cudf.DataFrame({'Animal': ['Falcon', 'Falcon',
+    ...                               'Parrot', 'Parrot'],
+    ...                    'Max Speed': [380., 370., 24., 26.]})
+    >>> df
+       Animal  Max Speed
+    0  Falcon      380.0
+    1  Falcon      370.0
+    2  Parrot       24.0
+    3  Parrot       26.0
+    >>> df.groupby(['Animal']).mean()
+            Max Speed
+    Animal
+    Falcon      375.0
+    Parrot       25.0
+
+    >>> arrays = [['Falcon', 'Falcon', 'Parrot', 'Parrot'],
+    ... ['Captive', 'Wild', 'Captive', 'Wild']]
+    >>> index = pd.MultiIndex.from_arrays(arrays, names=('Animal', 'Type'))
+    >>> df = cudf.DataFrame({'Max Speed': [390., 350., 30., 20.]},
+            index=index)
+    >>> df
+                    Max Speed
+    Animal Type
+    Falcon Captive      390.0
+        Wild         350.0
+    Parrot Captive       30.0
+        Wild          20.0
+    >>> df.groupby(level=0).mean()
+            Max Speed
+    Animal
+    Falcon      370.0
+    Parrot       25.0
+    >>> df.groupby(level="Type").mean()
+            Max Speed
+    Type
+    Wild         185.0
+    Captive      210.0
+    """
+
     _PROTECTED_KEYS = frozenset(("obj",))
 
     def __init__(
         self, obj, by=None, level=None, sort=False, as_index=True, dropna=True
     ):
-        """
-        Group DataFrame using a mapper or by a Series of columns.
-
-        A groupby operation involves some combination of splitting the object,
-        applying a function, and combining the results. This can be used to
-        group large amounts of data and compute operations on these groups.
-
-        Parameters
-        ----------
-        by : mapping, function, label, or list of labels
-            Used to determine the groups for the groupby. If by is a
-            function, it’s called on each value of the object’s index.
-            If a dict or Series is passed, the Series or dict VALUES will
-            be used to determine the groups (the Series’ values are first
-            aligned; see .align() method). If a cupy array is passed, the
-            values are used as-is determine the groups. A label or list
-            of labels may be passed to group by the columns in self.
-            Notice that a tuple is interpreted as a (single) key.
-        level : int, level name, or sequence of such, default None
-            If the axis is a MultiIndex (hierarchical), group by a particular
-            level or levels.
-        as_index : bool, default True
-            For aggregated output, return object with group labels as
-            the index. Only relevant for DataFrame input.
-            as_index=False is effectively “SQL-style” grouped output.
-        sort : bool, default False
-            Sort result by group key. Differ from Pandas, cudf defaults to
-            ``False`` for better performance. Note this does not influence
-            the order of observations within each group. Groupby preserves
-            the order of rows within each group.
-        dropna : bool, optional
-            If True (default), do not include the "null" group.
-
-        Returns
-        -------
-            DataFrameGroupBy
-                Returns a groupby object that contains information
-                about the groups.
-
-        Examples
-        --------
-        >>> import cudf
-        >>> import pandas as pd
-        >>> df = cudf.DataFrame({'Animal': ['Falcon', 'Falcon',
-        ...                               'Parrot', 'Parrot'],
-        ...                    'Max Speed': [380., 370., 24., 26.]})
-        >>> df
-        Animal  Max Speed
-        0  Falcon      380.0
-        1  Falcon      370.0
-        2  Parrot       24.0
-        3  Parrot       26.0
-        >>> df.groupby(['Animal']).mean()
-                Max Speed
-        Animal
-        Falcon      375.0
-        Parrot       25.0
-
-        >>> arrays = [['Falcon', 'Falcon', 'Parrot', 'Parrot'],
-        ... ['Captive', 'Wild', 'Captive', 'Wild']]
-        >>> index = pd.MultiIndex.from_arrays(arrays, names=('Animal', 'Type'))
-        >>> df = cudf.DataFrame({'Max Speed': [390., 350., 30., 20.]},
-                index=index)
-        >>> df
-                        Max Speed
-        Animal Type
-        Falcon Captive      390.0
-            Wild         350.0
-        Parrot Captive       30.0
-            Wild          20.0
-        >>> df.groupby(level=0).mean()
-                Max Speed
-        Animal
-        Falcon      370.0
-        Parrot       25.0
-        >>> df.groupby(level="Type").mean()
-                Max Speed
-        Type
-        Wild         185.0
-        Captive      210.0
-
-        """
         super().__init__(
             obj=obj,
             by=by,
@@ -1127,68 +1127,68 @@ def nunique(self):
 
 
 class SeriesGroupBy(GroupBy):
+    """
+    Group Series using a mapper or by a Series of columns.
+
+    A groupby operation involves some combination of splitting the object,
+    applying a function, and combining the results. This can be used to
+    group large amounts of data and compute operations on these groups.
+
+    Parameters
+    ----------
+    by : mapping, function, label, or list of labels
+        Used to determine the groups for the groupby. If by is a
+        function, it’s called on each value of the object’s index.
+        If a dict or Series is passed, the Series or dict VALUES will
+        be used to determine the groups (the Series’ values are first
+        aligned; see .align() method). If an cupy array is passed, the
+        values are used as-is determine the groups. A label or list
+        of labels may be passed to group by the columns in self.
+        Notice that a tuple is interpreted as a (single) key.
+    level : int, level name, or sequence of such, default None
+        If the axis is a MultiIndex (hierarchical), group by a particular
+        level or levels.
+    as_index : bool, default True
+        For aggregated output, return object with group labels as
+        the index. Only relevant for DataFrame input.
+        as_index=False is effectively “SQL-style” grouped output.
+    sort : bool, default False
+        Sort result by group key. Differ from Pandas, cudf defaults to
+        ``False`` for better performance. Note this does not influence
+        the order of observations within each group. Groupby preserves
+        the order of rows within each group.
+
+    Returns
+    -------
+        SeriesGroupBy
+            Returns a groupby object that contains information
+            about the groups.
+
+    Examples
+    --------
+    >>> ser = cudf.Series([390., 350., 30., 20.],
+    ...                 index=['Falcon', 'Falcon', 'Parrot', 'Parrot'],
+    ...                 name="Max Speed")
+    >>> ser
+    Falcon    390.0
+    Falcon    350.0
+    Parrot     30.0
+    Parrot     20.0
+    Name: Max Speed, dtype: float64
+    >>> ser.groupby(level=0).mean()
+    Falcon    370.0
+    Parrot     25.0
+    Name: Max Speed, dtype: float64
+    >>> ser.groupby(ser > 100).mean()
+    Max Speed
+    False     25.0
+    True     370.0
+    Name: Max Speed, dtype: float64
+    """
+
     def __init__(
         self, obj, by=None, level=None, sort=False, as_index=True, dropna=True
     ):
-        """
-        Group Series using a mapper or by a Series of columns.
-
-        A groupby operation involves some combination of splitting the object,
-        applying a function, and combining the results. This can be used to
-        group large amounts of data and compute operations on these groups.
-
-        Parameters
-        ----------
-        by : mapping, function, label, or list of labels
-            Used to determine the groups for the groupby. If by is a
-            function, it’s called on each value of the object’s index.
-            If a dict or Series is passed, the Series or dict VALUES will
-            be used to determine the groups (the Series’ values are first
-            aligned; see .align() method). If an cupy array is passed, the
-            values are used as-is determine the groups. A label or list
-            of labels may be passed to group by the columns in self.
-            Notice that a tuple is interpreted as a (single) key.
-        level : int, level name, or sequence of such, default None
-            If the axis is a MultiIndex (hierarchical), group by a particular
-            level or levels.
-        as_index : bool, default True
-            For aggregated output, return object with group labels as
-            the index. Only relevant for DataFrame input.
-            as_index=False is effectively “SQL-style” grouped output.
-        sort : bool, default False
-            Sort result by group key. Differ from Pandas, cudf defaults to
-            ``False`` for better performance. Note this does not influence
-            the order of observations within each group. Groupby preserves
-            the order of rows within each group.
-
-        Returns
-        -------
-            SeriesGroupBy
-                Returns a groupby object that contains information
-                about the groups.
-
-        Examples
-        --------
-        >>> ser = cudf.Series([390., 350., 30., 20.],
-        ...                 index=['Falcon', 'Falcon', 'Parrot', 'Parrot'],
-        ...                 name="Max Speed")
-        >>> ser
-        Falcon    390.0
-        Falcon    350.0
-        Parrot     30.0
-        Parrot     20.0
-        Name: Max Speed, dtype: float64
-        >>> ser.groupby(level=0).mean()
-        Falcon    370.0
-        Parrot     25.0
-        Name: Max Speed, dtype: float64
-        >>> ser.groupby(ser > 100).mean()
-        Max Speed
-        False     25.0
-        True     370.0
-        Name: Max Speed, dtype: float64
-
-        """
         super().__init__(
             obj=obj,
             by=by,
diff --git a/python/cudf/cudf/core/index.py b/python/cudf/cudf/core/index.py
index 57937f247aa..97d764cdf60 100644
--- a/python/cudf/cudf/core/index.py
+++ b/python/cudf/cudf/core/index.py
@@ -3095,7 +3095,7 @@ def __repr__(self):
             + ")"
         )
 
-    @copy_docstring(StringMethods.__init__)  # type: ignore
+    @copy_docstring(StringMethods)  # type: ignore
     @property
     def str(self):
         return StringMethods(parent=self)
diff --git a/python/cudf/cudf/core/series.py b/python/cudf/cudf/core/series.py
index 15d6d827ba0..d295cf0c691 100644
--- a/python/cudf/cudf/core/series.py
+++ b/python/cudf/cudf/core/series.py
@@ -2355,17 +2355,17 @@ def __invert__(self):
     def cat(self):
         return CategoricalAccessor(parent=self)
 
-    @copy_docstring(StringMethods.__init__)  # type: ignore
+    @copy_docstring(StringMethods)  # type: ignore
     @property
     def str(self):
         return StringMethods(parent=self)
 
-    @copy_docstring(ListMethods.__init__)  # type: ignore
+    @copy_docstring(ListMethods)  # type: ignore
     @property
     def list(self):
         return ListMethods(parent=self)
 
-    @copy_docstring(StructMethods.__init__)  # type: ignore
+    @copy_docstring(StructMethods)  # type: ignore
     @property
     def struct(self):
         return StructMethods(parent=self)
diff --git a/python/cudf/cudf/core/tools/datetimes.py b/python/cudf/cudf/core/tools/datetimes.py
index 00f60cfc8b5..181fa64240e 100644
--- a/python/cudf/cudf/core/tools/datetimes.py
+++ b/python/cudf/cudf/core/tools/datetimes.py
@@ -345,6 +345,66 @@ def get_units(value):
 
 
 class DateOffset:
+    """
+    An object used for binary ops where calendrical arithmetic
+    is desired rather than absolute time arithmetic. Used to
+    add or subtract a whole number of periods, such as several
+    months or years, to a series or index of datetime dtype.
+    Works similarly to pd.DateOffset, but stores the offset
+    on the device (GPU).
+
+    Parameters
+    ----------
+    n : int, default 1
+        The number of time periods the offset represents.
+    **kwds
+        Temporal parameter that add to or replace the offset value.
+        Parameters that **add** to the offset (like Timedelta):
+        - months
+
+    See Also
+    --------
+    pandas.DateOffset : The equivalent Pandas object that this
+    object replicates
+
+    Examples
+    --------
+    >>> from cudf import DateOffset
+    >>> ts = cudf.Series([
+        "2000-01-01 00:00:00.012345678",
+        "2000-01-31 00:00:00.012345678",
+        "2000-02-29 00:00:00.012345678",
+    ], dtype='datetime64[ns])
+    >>> ts + DateOffset(months=3)
+    0   2000-04-01 00:00:00.012345678
+    1   2000-04-30 00:00:00.012345678
+    2   2000-05-29 00:00:00.012345678
+    dtype: datetime64[ns]
+    >>> ts - DateOffset(months=12)
+    0   1999-01-01 00:00:00.012345678
+    1   1999-01-31 00:00:00.012345678
+    2   1999-02-28 00:00:00.012345678
+    dtype: datetime64[ns]
+
+    Notes
+    -----
+    Note that cuDF does not yet support DateOffset arguments
+    that 'replace' units in the datetime data being operated on
+    such as
+        - year
+        - month
+        - week
+        - day
+        - hour
+        - minute
+        - second
+        - microsecond
+        - millisecond
+        - nanosecond
+
+    cuDF does not yet support rounding via a `normalize`
+    keyword argument.
+    """
 
     _UNITS_TO_CODES = {
         "nanoseconds": "ns",
@@ -362,66 +422,6 @@ class DateOffset:
     _CODES_TO_UNITS = {v: k for k, v in _UNITS_TO_CODES.items()}
 
     def __init__(self, n=1, normalize=False, **kwds):
-        """
-        An object used for binary ops where calendrical arithmetic
-        is desired rather than absolute time arithmetic. Used to
-        add or subtract a whole number of periods, such as several
-        months or years, to a series or index of datetime dtype.
-        Works similarly to pd.DateOffset, but stores the offset
-        on the device (GPU).
-
-        Parameters
-        ----------
-        n : int, default 1
-            The number of time periods the offset represents.
-        **kwds
-            Temporal parameter that add to or replace the offset value.
-            Parameters that **add** to the offset (like Timedelta):
-            - months
-
-        See Also
-        --------
-        pandas.DateOffset : The equivalent Pandas object that this
-        object replicates
-
-        Examples
-        --------
-        >>> from cudf import DateOffset
-        >>> ts = cudf.Series([
-            "2000-01-01 00:00:00.012345678",
-            "2000-01-31 00:00:00.012345678",
-            "2000-02-29 00:00:00.012345678",
-        ], dtype='datetime64[ns])
-        >>> ts + DateOffset(months=3)
-        0   2000-04-01 00:00:00.012345678
-        1   2000-04-30 00:00:00.012345678
-        2   2000-05-29 00:00:00.012345678
-        dtype: datetime64[ns]
-        >>> ts - DateOffset(months=12)
-        0   1999-01-01 00:00:00.012345678
-        1   1999-01-31 00:00:00.012345678
-        2   1999-02-28 00:00:00.012345678
-        dtype: datetime64[ns]
-
-        Notes
-        -----
-        Note that cuDF does not yet support DateOffset arguments
-        that 'replace' units in the datetime data being operated on
-        such as
-            - year
-            - month
-            - week
-            - day
-            - hour
-            - minute
-            - second
-            - microsecond
-            - millisecond
-            - nanosecond
-
-        cuDF does not yet support rounding via a `normalize`
-        keyword argument.
-        """
         if normalize:
             raise NotImplementedError(
                 "normalize not yet supported for DateOffset"
diff --git a/python/cudf/cudf/core/window/rolling.py b/python/cudf/cudf/core/window/rolling.py
index d9a2fd89165..733f65a3b5d 100644
--- a/python/cudf/cudf/core/window/rolling.py
+++ b/python/cudf/cudf/core/window/rolling.py
@@ -353,14 +353,15 @@ def __repr__(self):
 
 
 class RollingGroupby(Rolling):
-    def __init__(self, groupby, window, min_periods=None, center=False):
-        """
-        Grouped rolling window calculation.
+    """
+    Grouped rolling window calculation.
 
-        See also
-        --------
-        cudf.core.window.Rolling
-        """
+    See also
+    --------
+    cudf.core.window.Rolling
+    """
+
+    def __init__(self, groupby, window, min_periods=None, center=False):
         sort_order = groupby.grouping.keys.argsort()
 
         # TODO: there may be overlap between the columns

From 58604a11a251186d61f2222375f4ad90cbdc8c9a Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Mon, 2 Aug 2021 19:26:43 -0700
Subject: [PATCH 37/49] refactor init docs

---
 python/cudf/cudf/core/buffer.py          |  34 ++---
 python/cudf/cudf/core/column_accessor.py |  26 ++--
 python/cudf/cudf/core/dataframe.py       | 167 ++++++++++++-----------
 python/cudf/cudf/core/dtypes.py          | 119 ++++++++--------
 python/cudf/cudf/core/index.py           |  22 +--
 python/cudf/cudf/core/scalar.py          |  77 +++++------
 6 files changed, 225 insertions(+), 220 deletions(-)

diff --git a/python/cudf/cudf/core/buffer.py b/python/cudf/cudf/core/buffer.py
index c6875052685..8d80e488e2e 100644
--- a/python/cudf/cudf/core/buffer.py
+++ b/python/cudf/cudf/core/buffer.py
@@ -15,6 +15,23 @@
 
 
 class Buffer(Serializable):
+    """
+    A Buffer represents a device memory allocation.
+
+    Parameters
+    ----------
+    data : Buffer, array_like, int
+        An array-like object or integer representing a
+        device or host pointer to pre-allocated memory.
+    size : int, optional
+        Size of memory allocation. Required if a pointer
+        is passed for `data`.
+    owner : object, optional
+        Python object to which the lifetime of the memory
+        allocation is tied. If provided, a reference to this
+        object is kept in this Buffer.
+    """
+
     ptr: int
     size: int
     _owner: Any
@@ -22,22 +39,7 @@ class Buffer(Serializable):
     def __init__(
         self, data: Any = None, size: Optional[int] = None, owner: Any = None
     ):
-        """
-        A Buffer represents a device memory allocation.
-
-        Parameters
-        ----------
-        data : Buffer, array_like, int
-            An array-like object or integer representing a
-            device or host pointer to pre-allocated memory.
-        size : int, optional
-            Size of memory allocation. Required if a pointer
-            is passed for `data`.
-        owner : object, optional
-            Python object to which the lifetime of the memory
-            allocation is tied. If provided, a reference to this
-            object is kept in this Buffer.
-        """
+
         if isinstance(data, Buffer):
             self.ptr = data.ptr
             self.size = data.size
diff --git a/python/cudf/cudf/core/column_accessor.py b/python/cudf/cudf/core/column_accessor.py
index 607b8ac307b..56882f89af8 100644
--- a/python/cudf/cudf/core/column_accessor.py
+++ b/python/cudf/cudf/core/column_accessor.py
@@ -80,6 +80,19 @@ def _to_flat_dict(d):
 
 
 class ColumnAccessor(MutableMapping):
+    """
+    Parameters
+    ----------
+    data : mapping
+        Mapping of keys to column values.
+    multiindex : bool, optional
+        Whether tuple keys represent a hierarchical
+        index with multiple "levels" (default=False).
+    level_names : tuple, optional
+        Tuple containing names for each of the levels.
+        For a non-hierarchical index, a tuple of size 1
+        may be passe.
+    """
 
     _data: "Dict[Any, ColumnBase]"
     multiindex: bool
@@ -91,19 +104,6 @@ def __init__(
         multiindex: bool = False,
         level_names=None,
     ):
-        """
-        Parameters
-        ----------
-        data : mapping
-            Mapping of keys to column values.
-        multiindex : bool, optional
-            Whether tuple keys represent a hierarchical
-            index with multiple "levels" (default=False).
-        level_names : tuple, optional
-            Tuple containing names for each of the levels.
-            For a non-hierarchical index, a tuple of size 1
-            may be passe.
-        """
         if data is None:
             data = {}
         # TODO: we should validate the keys of `data`
diff --git a/python/cudf/cudf/core/dataframe.py b/python/cudf/cudf/core/dataframe.py
index 0355b677337..f6778e1d176 100644
--- a/python/cudf/cudf/core/dataframe.py
+++ b/python/cudf/cudf/core/dataframe.py
@@ -69,100 +69,101 @@
 
 
 class DataFrame(Frame, Serializable, GetAttrGetItemMixin):
+    """
+    A GPU Dataframe object.
 
-    _PROTECTED_KEYS = frozenset(("_data", "_index"))
-
-    @annotate("DATAFRAME_INIT", color="blue", domain="cudf_python")
-    def __init__(self, data=None, index=None, columns=None, dtype=None):
-        """
-        A GPU Dataframe object.
+    Parameters
+    ----------
+    data : array-like, Iterable, dict, or DataFrame.
+        Dict can contain Series, arrays, constants, or list-like objects.
 
-        Parameters
-        ----------
-        data : array-like, Iterable, dict, or DataFrame.
-            Dict can contain Series, arrays, constants, or list-like objects.
+    index : Index or array-like
+        Index to use for resulting frame. Will default to
+        RangeIndex if no indexing information part of input data and
+        no index provided.
 
-        index : Index or array-like
-            Index to use for resulting frame. Will default to
-            RangeIndex if no indexing information part of input data and
-            no index provided.
+    columns : Index or array-like
+        Column labels to use for resulting frame.
+        Will default to RangeIndex (0, 1, 2, …, n) if no column
+        labels are provided.
 
-        columns : Index or array-like
-            Column labels to use for resulting frame.
-            Will default to RangeIndex (0, 1, 2, …, n) if no column
-            labels are provided.
+    dtype : dtype, default None
+        Data type to force. Only a single dtype is allowed.
+        If None, infer.
 
-        dtype : dtype, default None
-            Data type to force. Only a single dtype is allowed.
-            If None, infer.
-
-        Examples
-        --------
+    Examples
+    --------
 
-        Build dataframe with ``__setitem__``:
+    Build dataframe with ``__setitem__``:
 
-        >>> import cudf
-        >>> df = cudf.DataFrame()
-        >>> df['key'] = [0, 1, 2, 3, 4]
-        >>> df['val'] = [float(i + 10) for i in range(5)]  # insert column
-        >>> df
-           key   val
-        0    0  10.0
-        1    1  11.0
-        2    2  12.0
-        3    3  13.0
-        4    4  14.0
+    >>> import cudf
+    >>> df = cudf.DataFrame()
+    >>> df['key'] = [0, 1, 2, 3, 4]
+    >>> df['val'] = [float(i + 10) for i in range(5)]  # insert column
+    >>> df
+       key   val
+    0    0  10.0
+    1    1  11.0
+    2    2  12.0
+    3    3  13.0
+    4    4  14.0
+
+    Build DataFrame via dict of columns:
+
+    >>> import numpy as np
+    >>> from datetime import datetime, timedelta
+    >>> t0 = datetime.strptime('2018-10-07 12:00:00', '%Y-%m-%d %H:%M:%S')
+    >>> n = 5
+    >>> df = cudf.DataFrame({
+    ...     'id': np.arange(n),
+    ...     'datetimes': np.array(
+    ...     [(t0+ timedelta(seconds=x)) for x in range(n)])
+    ... })
+    >>> df
+        id                datetimes
+    0    0  2018-10-07T12:00:00.000
+    1    1  2018-10-07T12:00:01.000
+    2    2  2018-10-07T12:00:02.000
+    3    3  2018-10-07T12:00:03.000
+    4    4  2018-10-07T12:00:04.000
+
+    Build DataFrame via list of rows as tuples:
+
+    >>> df = cudf.DataFrame([
+    ...     (5, "cats", "jump", np.nan),
+    ...     (2, "dogs", "dig", 7.5),
+    ...     (3, "cows", "moo", -2.1, "occasionally"),
+    ... ])
+    >>> df
+       0     1     2     3             4
+    0  5  cats  jump  <NA>          <NA>
+    1  2  dogs   dig   7.5          <NA>
+    2  3  cows   moo  -2.1  occasionally
+
+    Convert from a Pandas DataFrame:
 
-        Build DataFrame via dict of columns:
+    >>> import pandas as pd
+    >>> pdf = pd.DataFrame({'a': [0, 1, 2, 3],'b': [0.1, 0.2, None, 0.3]})
+    >>> pdf
+       a    b
+    0  0  0.1
+    1  1  0.2
+    2  2  NaN
+    3  3  0.3
+    >>> df = cudf.from_pandas(pdf)
+    >>> df
+       a     b
+    0  0   0.1
+    1  1   0.2
+    2  2  <NA>
+    3  3   0.3
+    """
 
-        >>> import numpy as np
-        >>> from datetime import datetime, timedelta
-        >>> t0 = datetime.strptime('2018-10-07 12:00:00', '%Y-%m-%d %H:%M:%S')
-        >>> n = 5
-        >>> df = cudf.DataFrame({
-        ...     'id': np.arange(n),
-        ...     'datetimes': np.array(
-        ...     [(t0+ timedelta(seconds=x)) for x in range(n)])
-        ... })
-        >>> df
-            id                datetimes
-        0    0  2018-10-07T12:00:00.000
-        1    1  2018-10-07T12:00:01.000
-        2    2  2018-10-07T12:00:02.000
-        3    3  2018-10-07T12:00:03.000
-        4    4  2018-10-07T12:00:04.000
-
-        Build DataFrame via list of rows as tuples:
-
-        >>> df = cudf.DataFrame([
-        ...     (5, "cats", "jump", np.nan),
-        ...     (2, "dogs", "dig", 7.5),
-        ...     (3, "cows", "moo", -2.1, "occasionally"),
-        ... ])
-        >>> df
-           0     1     2     3             4
-        0  5  cats  jump  <NA>          <NA>
-        1  2  dogs   dig   7.5          <NA>
-        2  3  cows   moo  -2.1  occasionally
+    _PROTECTED_KEYS = frozenset(("_data", "_index"))
 
-        Convert from a Pandas DataFrame:
+    @annotate("DATAFRAME_INIT", color="blue", domain="cudf_python")
+    def __init__(self, data=None, index=None, columns=None, dtype=None):
 
-        >>> import pandas as pd
-        >>> pdf = pd.DataFrame({'a': [0, 1, 2, 3],'b': [0.1, 0.2, None, 0.3]})
-        >>> pdf
-           a    b
-        0  0  0.1
-        1  1  0.2
-        2  2  NaN
-        3  3  0.3
-        >>> df = cudf.from_pandas(pdf)
-        >>> df
-           a     b
-        0  0   0.1
-        1  1   0.2
-        2  2  <NA>
-        3  3   0.3
-        """
         super().__init__()
 
         if isinstance(columns, (Series, cudf.BaseIndex)):
diff --git a/python/cudf/cudf/core/dtypes.py b/python/cudf/cudf/core/dtypes.py
index 6dbe55d0bb8..2d8bf9e5a2c 100644
--- a/python/cudf/cudf/core/dtypes.py
+++ b/python/cudf/cudf/core/dtypes.py
@@ -27,14 +27,14 @@ class _BaseDtype(ExtensionDtype, Serializable):
 
 
 class CategoricalDtype(_BaseDtype):
+    """
+    dtype similar to pd.CategoricalDtype with the categories
+    stored on the GPU.
+    """
 
     ordered: Optional[bool]
 
     def __init__(self, categories=None, ordered: bool = None) -> None:
-        """
-        dtype similar to pd.CategoricalDtype with the categories
-        stored on the GPU.
-        """
         self._categories = self._init_categories(categories)
         self.ordered = ordered
 
@@ -223,14 +223,14 @@ def deserialize(cls, header: dict, frames: list):
 
 
 class StructDtype(_BaseDtype):
+    """
+    fields : dict
+        A mapping of field names to dtypes
+    """
 
     name = "struct"
 
     def __init__(self, fields):
-        """
-        fields : dict
-            A mapping of field names to dtypes
-        """
         pa_fields = {
             k: cudf.utils.dtypes.cudf_dtype_to_pa_type(v)
             for k, v in fields.items()
@@ -309,34 +309,34 @@ def deserialize(cls, header: dict, frames: list):
 
 
 class Decimal32Dtype(_BaseDtype):
+    """
+    Parameters
+    ----------
+    precision : int
+        The total number of digits in each value of this dtype
+    scale : int, optional
+        The scale of the Decimal32Dtype. See Notes below.
+
+    Notes
+    -----
+        When the scale is positive:
+            - numbers with fractional parts (e.g., 0.0042) can be represented
+            - the scale is the total number of digits to the right of the
+            decimal point
+        When the scale is negative:
+            - only multiples of powers of 10 (including 10**0) can be
+            represented (e.g., 1729, 4200, 1000000)
+            - the scale represents the number of trailing zeros in the value.
+        For example, 42 is representable with precision=2 and scale=0.
+        13.0051 is representable with precision=6 and scale=4,
+        and *not* representable with precision<6 or scale<4.
+    """
 
     name = "decimal32"
     _metadata = ("precision", "scale")
     MAX_PRECISION = np.floor(np.log10(np.iinfo("int32").max))
 
     def __init__(self, precision, scale=0):
-        """
-        Parameters
-        ----------
-        precision : int
-            The total number of digits in each value of this dtype
-        scale : int, optional
-            The scale of the Decimal32Dtype. See Notes below.
-
-        Notes
-        -----
-            When the scale is positive:
-              - numbers with fractional parts (e.g., 0.0042) can be represented
-              - the scale is the total number of digits to the right of the
-                decimal point
-            When the scale is negative:
-              - only multiples of powers of 10 (including 10**0) can be
-                represented (e.g., 1729, 4200, 1000000)
-              - the scale represents the number of trailing zeros in the value.
-            For example, 42 is representable with precision=2 and scale=0.
-            13.0051 is representable with precision=6 and scale=4,
-            and *not* representable with precision<6 or scale<4.
-        """
         self._validate(precision, scale)
         self._typ = pa.decimal128(precision, scale)
 
@@ -417,34 +417,34 @@ def deserialize(cls, header: dict, frames: list):
 
 
 class Decimal64Dtype(_BaseDtype):
+    """
+    Parameters
+    ----------
+    precision : int
+        The total number of digits in each value of this dtype
+    scale : int, optional
+        The scale of the Decimal64Dtype. See Notes below.
+
+    Notes
+    -----
+        When the scale is positive:
+          - numbers with fractional parts (e.g., 0.0042) can be represented
+          - the scale is the total number of digits to the right of the
+            decimal point
+        When the scale is negative:
+          - only multiples of powers of 10 (including 10**0) can be
+            represented (e.g., 1729, 4200, 1000000)
+          - the scale represents the number of trailing zeros in the value.
+        For example, 42 is representable with precision=2 and scale=0.
+        13.0051 is representable with precision=6 and scale=4,
+        and *not* representable with precision<6 or scale<4.
+    """
 
     name = "decimal64"
     _metadata = ("precision", "scale")
     MAX_PRECISION = np.floor(np.log10(np.iinfo("int64").max))
 
     def __init__(self, precision, scale=0):
-        """
-        Parameters
-        ----------
-        precision : int
-            The total number of digits in each value of this dtype
-        scale : int, optional
-            The scale of the Decimal64Dtype. See Notes below.
-
-        Notes
-        -----
-            When the scale is positive:
-              - numbers with fractional parts (e.g., 0.0042) can be represented
-              - the scale is the total number of digits to the right of the
-                decimal point
-            When the scale is negative:
-              - only multiples of powers of 10 (including 10**0) can be
-                represented (e.g., 1729, 4200, 1000000)
-              - the scale represents the number of trailing zeros in the value.
-            For example, 42 is representable with precision=2 and scale=0.
-            13.0051 is representable with precision=6 and scale=4,
-            and *not* representable with precision<6 or scale<4.
-        """
         self._validate(precision, scale)
         self._typ = pa.decimal128(precision, scale)
 
@@ -525,16 +525,17 @@ def deserialize(cls, header: dict, frames: list):
 
 
 class IntervalDtype(StructDtype):
+    """
+    subtype: str, np.dtype
+        The dtype of the Interval bounds.
+    closed: {‘right’, ‘left’, ‘both’, ‘neither’}, default ‘right’
+        Whether the interval is closed on the left-side, right-side,
+        both or neither. See the Notes for more detailed explanation.
+    """
+
     name = "interval"
 
     def __init__(self, subtype, closed="right"):
-        """
-        subtype: str, np.dtype
-            The dtype of the Interval bounds.
-        closed: {‘right’, ‘left’, ‘both’, ‘neither’}, default ‘right’
-            Whether the interval is closed on the left-side, right-side,
-            both or neither. See the Notes for more detailed explanation.
-        """
         super().__init__(fields={"left": subtype, "right": subtype})
 
         if closed in ["left", "right", "neither", "both"]:
diff --git a/python/cudf/cudf/core/index.py b/python/cudf/cudf/core/index.py
index 97d764cdf60..32c1642fbdc 100644
--- a/python/cudf/cudf/core/index.py
+++ b/python/cudf/cudf/core/index.py
@@ -1783,25 +1783,25 @@ def __mul__(self, other):
 
 
 class GenericIndex(BaseIndex):
-    """An array of orderable values that represent the indices of another Column
+    """
+    An array of orderable values that represent the indices of another Column
 
     Attributes
     ----------
     _values: A Column object
     name: A string
+
+    Parameters
+    ----------
+    data : Column
+        The Column of data for this index
+    name : str optional
+        The name of the Index. If not provided, the Index adopts the value
+        Column's name. Otherwise if this name is different from the value
+        Column's, the data Column will be cloned to adopt this name.
     """
 
     def __init__(self, data, **kwargs):
-        """
-        Parameters
-        ----------
-        data : Column
-            The Column of data for this index
-        name : str optional
-            The name of the Index. If not provided, the Index adopts the value
-            Column's name. Otherwise if this name is different from the value
-            Column's, the data Column will be cloned to adopt this name.
-        """
         kwargs = _setdefault_name(data, **kwargs)
 
         # normalize the input
diff --git a/python/cudf/cudf/core/scalar.py b/python/cudf/cudf/core/scalar.py
index c6663a25684..4403a58dd30 100644
--- a/python/cudf/cudf/core/scalar.py
+++ b/python/cudf/cudf/core/scalar.py
@@ -17,45 +17,46 @@
 
 
 class Scalar(object):
+    """
+    A GPU-backed scalar object with NumPy scalar like properties
+    May be used in binary operations against other scalars, cuDF
+    Series, DataFrame, and Index objects.
+
+    Examples
+    --------
+    >>> import cudf
+    >>> cudf.Scalar(42, dtype='int64')
+    Scalar(42, dtype=int64)
+    >>> cudf.Scalar(42, dtype='int32') + cudf.Scalar(42, dtype='float64')
+    Scalar(84.0, dtype=float64)
+    >>> cudf.Scalar(42, dtype='int64') + np.int8(21)
+    Scalar(63, dtype=int64)
+    >>> x = cudf.Scalar(42, dtype='datetime64[s]')
+    >>> y = cudf.Scalar(21, dtype='timedelta64[ns])
+    >>> x - y
+    Scalar(1970-01-01T00:00:41.999999979, dtype=datetime64[ns])
+    >>> cudf.Series([1,2,3]) + cudf.Scalar(1)
+    0    2
+    1    3
+    2    4
+    dtype: int64
+    >>> df = cudf.DataFrame({'a':[1,2,3], 'b':[4.5, 5.5, 6.5]})
+    >>> slr = cudf.Scalar(10, dtype='uint8')
+    >>> df - slr
+       a    b
+    0 -9 -5.5
+    1 -8 -4.5
+    2 -7 -3.5
+
+    Parameters
+    ----------
+    value : Python Scalar, NumPy Scalar, or cuDF Scalar
+        The scalar value to be converted to a GPU backed scalar object
+    dtype : np.dtype or string specifier
+        The data type
+    """
+
     def __init__(self, value, dtype=None):
-        """
-        A GPU-backed scalar object with NumPy scalar like properties
-        May be used in binary operations against other scalars, cuDF
-        Series, DataFrame, and Index objects.
-
-        Examples
-        --------
-        >>> import cudf
-        >>> cudf.Scalar(42, dtype='int64')
-        Scalar(42, dtype=int64)
-        >>> cudf.Scalar(42, dtype='int32') + cudf.Scalar(42, dtype='float64')
-        Scalar(84.0, dtype=float64)
-        >>> cudf.Scalar(42, dtype='int64') + np.int8(21)
-        Scalar(63, dtype=int64)
-        >>> x = cudf.Scalar(42, dtype='datetime64[s]')
-        >>> y = cudf.Scalar(21, dtype='timedelta64[ns])
-        >>> x - y
-        Scalar(1970-01-01T00:00:41.999999979, dtype=datetime64[ns])
-        >>> cudf.Series([1,2,3]) + cudf.Scalar(1)
-        0    2
-        1    3
-        2    4
-        dtype: int64
-        >>> df = cudf.DataFrame({'a':[1,2,3], 'b':[4.5, 5.5, 6.5]})
-        >>> slr = cudf.Scalar(10, dtype='uint8')
-        >>> df - slr
-           a    b
-        0 -9 -5.5
-        1 -8 -4.5
-        2 -7 -3.5
-
-        Parameters
-        ----------
-        value : Python Scalar, NumPy Scalar, or cuDF Scalar
-            The scalar value to be converted to a GPU backed scalar object
-        dtype : np.dtype or string specifier
-            The data type
-        """
 
         self._host_value = None
         self._host_dtype = None

From abf11c7027f869e7a04746dc8776d2dcb194d15d Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Mon, 2 Aug 2021 19:36:23 -0700
Subject: [PATCH 38/49] Fix copy_docstring calls

---
 python/cudf/cudf/core/series.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/python/cudf/cudf/core/series.py b/python/cudf/cudf/core/series.py
index d295cf0c691..dad525b5b41 100644
--- a/python/cudf/cudf/core/series.py
+++ b/python/cudf/cudf/core/series.py
@@ -2350,7 +2350,7 @@ def __invert__(self):
                 f"Operation `~` not supported on {self.dtype.type.__name__}"
             )
 
-    @copy_docstring(CategoricalAccessor.__init__)  # type: ignore
+    @copy_docstring(CategoricalAccessor)  # type: ignore
     @property
     def cat(self):
         return CategoricalAccessor(parent=self)
@@ -5756,7 +5756,7 @@ def diff(self, periods=1):
 
         return Series(output_col, name=self.name, index=self.index)
 
-    @copy_docstring(SeriesGroupBy.__init__)
+    @copy_docstring(SeriesGroupBy)
     def groupby(
         self,
         by=None,

From ed7da825889ca73552df76240b144e36ad151ee6 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Mon, 2 Aug 2021 20:53:14 -0700
Subject: [PATCH 39/49] fix docs

---
 docs/cudf/source/api_docs/dataframe.rst     | 1 +
 docs/cudf/source/api_docs/index_objects.rst | 1 +
 docs/cudf/source/conf.py                    | 6 +++---
 python/cudf/cudf/core/dataframe.py          | 2 ++
 4 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/docs/cudf/source/api_docs/dataframe.rst b/docs/cudf/source/api_docs/dataframe.rst
index f5920c8f11c..12ff1f13bc4 100644
--- a/docs/cudf/source/api_docs/dataframe.rst
+++ b/docs/cudf/source/api_docs/dataframe.rst
@@ -7,6 +7,7 @@ Constructor
 ~~~~~~~~~~~
 .. autosummary::
    :toctree: api/
+   :template: autosummary/class_with_autosummary.rst
 
    DataFrame
 
diff --git a/docs/cudf/source/api_docs/index_objects.rst b/docs/cudf/source/api_docs/index_objects.rst
index 75d21021a91..c23c9a3f6c1 100644
--- a/docs/cudf/source/api_docs/index_objects.rst
+++ b/docs/cudf/source/api_docs/index_objects.rst
@@ -12,6 +12,7 @@ used before calling these methods directly.**
 
 .. autosummary::
    :toctree: api/
+   :template: autosummary/class_with_autosummary.rst
 
    Index
 
diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index 0f85fd09399..20b0eb9f736 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -256,9 +256,9 @@ def process_class_docstrings(app, what, name, obj, options, lines):
     if what == "class":
         if name in {"cudf.RangeIndex", "cudf.Int64Index", "cudf.UInt64Index", "cudf.Float64Index", "cudf.CategoricalIndex", "cudf.IntervalIndex", "cudf.MultiIndex", "cudf.DatetimeIndex", "cudf.TimedeltaIndex", "cudf.TimedeltaIndex"}:
 
-            # cut_index = lines.index(':Attributes:')
-            # lines[:] = lines[:cut_index]
-            pass
+            cut_index = lines.index('.. rubric:: Attributes')
+            lines[:] = lines[:cut_index]
+
 
 
 
diff --git a/python/cudf/cudf/core/dataframe.py b/python/cudf/cudf/core/dataframe.py
index f6778e1d176..c3e3b7e4da7 100644
--- a/python/cudf/cudf/core/dataframe.py
+++ b/python/cudf/cudf/core/dataframe.py
@@ -4468,6 +4468,7 @@ def join(
         )
         return df
 
+    @copy_docstring(DataFrameGroupBy)
     def groupby(
         self,
         by=None,
@@ -4512,6 +4513,7 @@ def groupby(
             sort=sort,
         )
 
+    @copy_docstring(Rolling)
     def rolling(
         self, window, min_periods=None, center=False, axis=0, win_type=None
     ):

From d4ce421fb43c5c2c9824b868eccd897d1f450372 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 3 Aug 2021 12:18:52 -0700
Subject: [PATCH 40/49] misc fixes

---
 python/cudf/cudf/__init__.py             |  1 +
 python/cudf/cudf/_lib/csv.pyx            |  4 ++--
 python/cudf/cudf/_lib/orc.pyx            |  4 ++--
 python/cudf/cudf/core/__init__.py        |  1 +
 python/cudf/cudf/core/algorithms.py      |  2 +-
 python/cudf/cudf/core/column/string.py   |  6 +++---
 python/cudf/cudf/core/dataframe.py       |  6 +++---
 python/cudf/cudf/core/frame.py           | 10 +++++-----
 python/cudf/cudf/core/groupby/groupby.py |  4 ++--
 python/cudf/cudf/core/index.py           | 22 +++++++++++-----------
 python/cudf/cudf/core/reshape.py         |  4 ++--
 python/cudf/cudf/core/series.py          | 14 +++++++-------
 python/cudf/cudf/core/window/rolling.py  |  4 ++--
 python/cudf/cudf/tests/test_dataframe.py |  4 +---
 python/cudf/cudf/tests/test_groupby.py   |  2 +-
 python/cudf/cudf/tests/test_index.py     |  8 ++++----
 python/cudf/cudf/tests/test_text.py      |  4 ++--
 python/cudf/cudf/utils/ioutils.py        | 20 ++++++++++----------
 python/dask_cudf/dask_cudf/backends.py   |  4 ++--
 19 files changed, 62 insertions(+), 62 deletions(-)

diff --git a/python/cudf/cudf/__init__.py b/python/cudf/cudf/__init__.py
index 2d52b517242..be78b9cf825 100644
--- a/python/cudf/cudf/__init__.py
+++ b/python/cudf/cudf/__init__.py
@@ -31,6 +31,7 @@
     IntervalIndex,
     MultiIndex,
     RangeIndex,
+    StringIndex,
     Scalar,
     Series,
     TimedeltaIndex,
diff --git a/python/cudf/cudf/_lib/csv.pyx b/python/cudf/cudf/_lib/csv.pyx
index 2dfa61ee900..d1d5ef38dcd 100644
--- a/python/cudf/cudf/_lib/csv.pyx
+++ b/python/cudf/cudf/_lib/csv.pyx
@@ -359,7 +359,7 @@ def read_csv(
 
     See Also
     --------
-    cudf.io.csv.read_csv
+    cudf.read_csv
     """
 
     if not isinstance(datasource, (BytesIO, StringIO, bytes,
@@ -429,7 +429,7 @@ cpdef write_csv(
 
     See Also
     --------
-    cudf.io.csv.to_csv
+    cudf.to_csv
     """
     cdef table_view input_table_view = \
         table.view() if index is True else table.data_view()
diff --git a/python/cudf/cudf/_lib/orc.pyx b/python/cudf/cudf/_lib/orc.pyx
index e15b569ed85..b888f213921 100644
--- a/python/cudf/cudf/_lib/orc.pyx
+++ b/python/cudf/cudf/_lib/orc.pyx
@@ -84,7 +84,7 @@ cpdef read_orc(object filepaths_or_buffers,
 
     See Also
     --------
-    cudf.io.orc.read_orc
+    cudf.read_orc
     """
     cdef orc_reader_options c_orc_reader_options = make_orc_reader_options(
         filepaths_or_buffers,
@@ -142,7 +142,7 @@ cpdef write_orc(Table table,
 
     See Also
     --------
-    cudf.io.orc.read_orc
+    cudf.read_orc
     """
     cdef compression_type compression_ = _get_comp_type(compression)
     cdef table_metadata metadata_ = table_metadata()
diff --git a/python/cudf/cudf/core/__init__.py b/python/cudf/cudf/core/__init__.py
index 5eaa5b52fd4..016aba2edb3 100644
--- a/python/cudf/cudf/core/__init__.py
+++ b/python/cudf/cudf/core/__init__.py
@@ -17,6 +17,7 @@
     Int64Index,
     IntervalIndex,
     RangeIndex,
+    StringIndex,
     TimedeltaIndex,
     UInt8Index,
     UInt16Index,
diff --git a/python/cudf/cudf/core/algorithms.py b/python/cudf/cudf/core/algorithms.py
index 9f26ac8ee78..38b6f8789bb 100644
--- a/python/cudf/cudf/core/algorithms.py
+++ b/python/cudf/cudf/core/algorithms.py
@@ -35,7 +35,7 @@ def factorize(values, sort=False, na_sentinel=-1, size_hint=None):
 
     See Also
     --------
-    cudf.core.series.Series.factorize : Encode the input values of Series.
+    cudf.Series.factorize : Encode the input values of Series.
 
     """
     if sort:
diff --git a/python/cudf/cudf/core/column/string.py b/python/cudf/cudf/core/column/string.py
index 19eb3906044..4008d2f06ab 100644
--- a/python/cudf/cudf/core/column/string.py
+++ b/python/cudf/cudf/core/column/string.py
@@ -2503,7 +2503,7 @@ def partition(self, sep: str = " ", expand: bool = True) -> SeriesOrIndex:
 
         Also available on indices:
 
-        >>> idx = cudf.core.index.StringIndex(['X 123', 'Y 999'])
+        >>> idx = cudf.Index(['X 123', 'Y 999'])
         >>> idx
         StringIndex(['X 123' 'Y 999'], dtype='object')
 
@@ -2570,7 +2570,7 @@ def rpartition(self, sep: str = " ", expand: bool = True) -> SeriesOrIndex:
 
         Also available on indices:
 
-        >>> idx = cudf.core.index.StringIndex(['X 123', 'Y 999'])
+        >>> idx = cudf.Index(['X 123', 'Y 999'])
         >>> idx
         StringIndex(['X 123' 'Y 999'], dtype='object')
 
@@ -3242,7 +3242,7 @@ def count(self, pat: str, flags: int = 0) -> SeriesOrIndex:
 
         This is also available on Index.
 
-        >>> index = cudf.core.index.StringIndex(['A', 'A', 'Aaba', 'cat'])
+        >>> index = cudf.Index(['A', 'A', 'Aaba', 'cat'])
         >>> index.str.count('a')
         Int64Index([0, 0, 2, 1], dtype='int64')
         """  # noqa W605
diff --git a/python/cudf/cudf/core/dataframe.py b/python/cudf/cudf/core/dataframe.py
index f413c372b16..32824525fa0 100644
--- a/python/cudf/cudf/core/dataframe.py
+++ b/python/cudf/cudf/core/dataframe.py
@@ -3463,7 +3463,7 @@ def rename(
         if index:
             if (
                 any(type(item) == str for item in index.values())
-                and type(self.index) != cudf.core.index.StringIndex
+                and type(self.index) != cudf.StringIndex
             ):
                 raise NotImplementedError(
                     "Implicit conversion of index to "
@@ -6759,9 +6759,9 @@ def mode(self, axis=0, numeric_only=False, dropna=True):
 
         See Also
         --------
-        cudf.core.series.Series.mode : Return the highest frequency value
+        cudf.Series.mode : Return the highest frequency value
             in a Series.
-        cudf.core.series.Series.value_counts : Return the counts of values
+        cudf.Series.value_counts : Return the counts of values
             in a Series.
 
         Notes
diff --git a/python/cudf/cudf/core/frame.py b/python/cudf/cudf/core/frame.py
index 97a67f2dc5c..ce588b8686d 100644
--- a/python/cudf/cudf/core/frame.py
+++ b/python/cudf/cudf/core/frame.py
@@ -1116,19 +1116,19 @@ def dropna(
 
         See also
         --------
-        cudf.core.dataframe.DataFrame.isna
+        cudf.DataFrame.isna
             Indicate null values.
 
-        cudf.core.dataframe.DataFrame.notna
+        cudf.DataFrame.notna
             Indicate non-null values.
 
-        cudf.core.dataframe.DataFrame.fillna
+        cudf.DataFrame.fillna
             Replace null values.
 
-        cudf.core.series.Series.dropna
+        cudf.Series.dropna
             Drop null values.
 
-        cudf.core.index.Index.dropna
+        cudf.Index.dropna
             Drop null indices.
 
         Examples
diff --git a/python/cudf/cudf/core/groupby/groupby.py b/python/cudf/cudf/core/groupby/groupby.py
index bd5e5b21270..46bc527f2c8 100644
--- a/python/cudf/cudf/core/groupby/groupby.py
+++ b/python/cudf/cudf/core/groupby/groupby.py
@@ -348,10 +348,10 @@ def pipe(self, func, *args, **kwargs):
 
         See also
         --------
-        cudf.core.series.Series.pipe
+        cudf.Series.pipe
             Apply a function with arguments to a series.
 
-        cudf.core.dataframe.DataFrame.pipe
+        cudf.DataFrame.pipe
             Apply a function with arguments to a dataframe.
 
         apply
diff --git a/python/cudf/cudf/core/index.py b/python/cudf/cudf/core/index.py
index 28dba98656d..49f0c4fd62e 100644
--- a/python/cudf/cudf/core/index.py
+++ b/python/cudf/cudf/core/index.py
@@ -326,7 +326,7 @@ def set_names(self, names, level=None, inplace=False):
 
         See Also
         --------
-        cudf.core.index.Index.rename : Able to set new names without level.
+        cudf.Index.rename : Able to set new names without level.
 
         Examples
         --------
@@ -529,9 +529,9 @@ def min(self):
 
         See Also
         --------
-        cudf.core.index.Index.max : Return the maximum value in an Index.
-        cudf.core.series.Series.min : Return the minimum value in a Series.
-        cudf.core.dataframe.DataFrame.min : Return the minimum values in
+        cudf.Index.max : Return the maximum value in an Index.
+        cudf.Series.min : Return the minimum value in a Series.
+        cudf.DataFrame.min : Return the minimum values in
             a DataFrame.
 
         Examples
@@ -554,9 +554,9 @@ def max(self):
 
         See Also
         --------
-        cudf.core.index.Index.min : Return the minimum value in an Index.
-        cudf.core.series.Series.max : Return the maximum value in a Series.
-        cudf.core.dataframe.DataFrame.max : Return the maximum values in
+        cudf.Index.min : Return the minimum value in an Index.
+        cudf.Series.max : Return the maximum value in a Series.
+        cudf.DataFrame.max : Return the maximum values in
             a DataFrame.
 
         Examples
@@ -780,8 +780,8 @@ def sort_values(self, return_indexer=False, ascending=True, key=None):
 
         See Also
         --------
-        cudf.core.series.Series.min : Sort values of a Series.
-        cudf.core.dataframe.DataFrame.sort_values : Sort values in a DataFrame.
+        cudf.Series.min : Sort values of a Series.
+        cudf.DataFrame.sort_values : Sort values in a DataFrame.
 
         Examples
         --------
@@ -1350,9 +1350,9 @@ def from_pandas(cls, index, nan_as_null=None):
         >>> import numpy as np
         >>> data = [10, 20, 30, np.nan]
         >>> pdi = pd.Index(data)
-        >>> cudf.core.index.Index.from_pandas(pdi)
+        >>> cudf.Index.from_pandas(pdi)
         Float64Index([10.0, 20.0, 30.0, <NA>], dtype='float64')
-        >>> cudf.core.index.Index.from_pandas(pdi, nan_as_null=False)
+        >>> cudf.Index.from_pandas(pdi, nan_as_null=False)
         Float64Index([10.0, 20.0, 30.0, nan], dtype='float64')
         """
         if not isinstance(index, pd.Index):
diff --git a/python/cudf/cudf/core/reshape.py b/python/cudf/cudf/core/reshape.py
index 54571ebb31d..1b8405af1a4 100644
--- a/python/cudf/cudf/core/reshape.py
+++ b/python/cudf/cudf/core/reshape.py
@@ -803,9 +803,9 @@ def _pivot(df, index, columns):
     Parameters
     ----------
     df : DataFrame
-    index : cudf.core.index.Index
+    index : cudf.Index
         Index labels of the result
-    columns : cudf.core.index.Index
+    columns : cudf.Index
         Column labels of the result
     """
     columns_labels, columns_idx = columns._encode()
diff --git a/python/cudf/cudf/core/series.py b/python/cudf/cudf/core/series.py
index 54d3cbd0b18..06fb2a142d8 100644
--- a/python/cudf/cudf/core/series.py
+++ b/python/cudf/cudf/core/series.py
@@ -458,7 +458,7 @@ def drop(
             Return series without null values
         Series.drop_duplicates
             Return series with duplicate values removed
-        cudf.core.dataframe.DataFrame.drop
+        cudf.DataFrame.drop
             Drop specified labels from rows or columns in dataframe
 
         Examples
@@ -875,7 +875,7 @@ def memory_usage(self, index=True, deep=False):
 
         See Also
         --------
-        cudf.core.dataframe.DataFrame.memory_usage : Bytes consumed by
+        cudf.DataFrame.memory_usage : Bytes consumed by
             a DataFrame.
 
         Examples
@@ -2499,10 +2499,10 @@ def dropna(self, axis=0, inplace=False, how=None):
 
         Series.fillna : Replace null values.
 
-        cudf.core.dataframe.DataFrame.dropna : Drop rows or columns which
+        cudf.DataFrame.dropna : Drop rows or columns which
             contain null values.
 
-        cudf.core.index.Index.dropna : Drop null indices.
+        cudf.Index.dropna : Drop null indices.
 
         Examples
         --------
@@ -2932,7 +2932,7 @@ def loc(self):
 
         See also
         --------
-        cudf.core.dataframe.DataFrame.loc
+        cudf.DataFrame.loc
 
         Examples
         --------
@@ -2955,7 +2955,7 @@ def iloc(self):
 
         See also
         --------
-        cudf.core.dataframe.DataFrame.iloc
+        cudf.DataFrame.iloc
 
         Examples
         --------
@@ -5140,7 +5140,7 @@ def value_counts(
         Series.count
             Number of non-NA elements in a Series.
 
-        cudf.core.dataframe.DataFrame.count
+        cudf.DataFrame.count
             Number of non-NA elements in a DataFrame.
 
         Examples
diff --git a/python/cudf/cudf/core/window/rolling.py b/python/cudf/cudf/core/window/rolling.py
index 733f65a3b5d..d2f120a7bb9 100644
--- a/python/cudf/cudf/core/window/rolling.py
+++ b/python/cudf/cudf/core/window/rolling.py
@@ -258,12 +258,12 @@ def apply(self, func, *args, **kwargs):
 
         See also
         --------
-        cudf.core.series.Series.applymap : Apply an elementwise function to
+        cudf.Series.applymap : Apply an elementwise function to
             transform the values in the Column.
 
         Notes
         -----
-        See notes of the :meth:`cudf.core.series.Series.applymap`
+        See notes of the :meth:`cudf.Series.applymap`
 
         """
         has_nulls = False
diff --git a/python/cudf/cudf/tests/test_dataframe.py b/python/cudf/cudf/tests/test_dataframe.py
index 21683d4bdd0..c0050d244a3 100644
--- a/python/cudf/cudf/tests/test_dataframe.py
+++ b/python/cudf/cudf/tests/test_dataframe.py
@@ -3616,9 +3616,7 @@ def test_as_column_types():
     assert_eq(pds, gds)
 
     pds = pd.Series(pd.Index(["1", "18", "9"]), dtype="int")
-    gds = cudf.Series(
-        cudf.core.index.StringIndex(["1", "18", "9"]), dtype="int"
-    )
+    gds = cudf.Series(cudf.StringIndex(["1", "18", "9"]), dtype="int")
 
     assert_eq(pds, gds)
 
diff --git a/python/cudf/cudf/tests/test_groupby.py b/python/cudf/cudf/tests/test_groupby.py
index e423a64fe4d..cd46569be81 100644
--- a/python/cudf/cudf/tests/test_groupby.py
+++ b/python/cudf/cudf/tests/test_groupby.py
@@ -985,7 +985,7 @@ def test_groupby_index_type():
     df["string_col"] = ["a", "b", "c"]
     df["counts"] = [1, 2, 3]
     res = df.groupby(by="string_col").counts.sum()
-    assert isinstance(res.index, cudf.core.index.StringIndex)
+    assert isinstance(res.index, cudf.StringIndex)
 
 
 @pytest.mark.parametrize(
diff --git a/python/cudf/cudf/tests/test_index.py b/python/cudf/cudf/tests/test_index.py
index f03454c479a..a2842d5a908 100644
--- a/python/cudf/cudf/tests/test_index.py
+++ b/python/cudf/cudf/tests/test_index.py
@@ -323,7 +323,7 @@ def test_index_copy_datetime(name, dtype, deep=True):
 @pytest.mark.parametrize("name", ["x"])
 @pytest.mark.parametrize("dtype", ["category", "object"])
 def test_index_copy_string(name, dtype, deep=True):
-    cidx = cudf.core.index.StringIndex(["a", "b", "c"])
+    cidx = cudf.StringIndex(["a", "b", "c"])
     pidx = cidx.to_pandas()
 
     pidx_copy = pidx.copy(name=name, deep=deep, dtype=dtype)
@@ -380,7 +380,7 @@ def test_index_copy_category(name, dtype, deep=True):
     "idx",
     [
         cudf.DatetimeIndex(["2001", "2002", "2003"]),
-        cudf.core.index.StringIndex(["a", "b", "c"]),
+        cudf.StringIndex(["a", "b", "c"]),
         cudf.Int64Index([1, 2, 3]),
         cudf.Float64Index([1.0, 2.0, 3.0]),
         cudf.CategoricalIndex([1, 2, 3]),
@@ -425,7 +425,7 @@ def test_index_copy_deep(idx, deep):
                 idx._values.categories.base_data.ptr
                 == idx_copy._values.categories.base_data.ptr
             ) == same_ref
-    elif isinstance(idx, cudf.core.index.StringIndex):
+    elif isinstance(idx, cudf.StringIndex):
         children = idx._values._base_children
         copy_children = idx_copy._values._base_children
         assert all(
@@ -470,7 +470,7 @@ def test_rangeindex_slice_attr_name():
 def test_from_pandas_str():
     idx = ["a", "b", "c"]
     pidx = pd.Index(idx, name="idx")
-    gidx_1 = cudf.core.index.StringIndex(idx, name="idx")
+    gidx_1 = cudf.StringIndex(idx, name="idx")
     gidx_2 = cudf.from_pandas(pidx)
 
     assert_eq(gidx_1, gidx_2)
diff --git a/python/cudf/cudf/tests/test_text.py b/python/cudf/cudf/tests/test_text.py
index 6c3fdd4640a..d0b1ba0758e 100644
--- a/python/cudf/cudf/tests/test_text.py
+++ b/python/cudf/cudf/tests/test_text.py
@@ -507,8 +507,8 @@ def test_character_tokenize_index():
     actual = sr.str.character_tokenize()
     assert_eq(expected, actual)
 
-    sr = cudf.core.index.as_index([""])
-    expected = cudf.core.index.StringIndex([], dtype="object")
+    sr = cudf.Index([""])
+    expected = cudf.StringIndex([], dtype="object")
 
     actual = sr.str.character_tokenize()
     assert_eq(expected, actual)
diff --git a/python/cudf/cudf/utils/ioutils.py b/python/cudf/cudf/utils/ioutils.py
index 2aaea8435e0..626db3ee646 100644
--- a/python/cudf/cudf/utils/ioutils.py
+++ b/python/cudf/cudf/utils/ioutils.py
@@ -67,8 +67,8 @@
 
 See Also
 --------
-cudf.io.csv.read_csv
-cudf.io.json.read_json
+cudf.read_csv
+cudf.read_json
 """.format(
     remote_data_sources=_docstring_remote_sources
 )
@@ -175,7 +175,7 @@
 --------
 cudf.io.parquet.read_parquet_metadata
 cudf.io.parquet.to_parquet
-cudf.io.orc.read_orc
+cudf.read_orc
 """.format(
     remote_data_sources=_docstring_remote_sources
 )
@@ -217,7 +217,7 @@
 See Also
 --------
 cudf.io.parquet.read_parquet
-cudf.io.orc.read_orc
+cudf.read_orc
 """
 doc_to_parquet = docfmt_partial(docstring=_docstring_to_parquet)
 
@@ -270,7 +270,7 @@
 
 See Also
 --------
-cudf.io.orc.read_orc
+cudf.read_orc
 """
 doc_read_orc_metadata = docfmt_partial(docstring=_docstring_read_orc_metadata)
 
@@ -296,7 +296,7 @@
 
 See Also
 --------
-cudf.io.orc.read_orc
+cudf.read_orc
 """
 doc_read_orc_statistics = docfmt_partial(
     docstring=_docstring_read_orc_statistics
@@ -385,7 +385,7 @@
 
 See Also
 --------
-cudf.io.orc.read_orc
+cudf.read_orc
 """
 doc_to_orc = docfmt_partial(docstring=_docstring_to_orc)
 
@@ -687,7 +687,7 @@
 
 See Also
 --------
-cudf.io.hdf.read_hdf : Read from HDF file.
+cudf.read_hdf : Read from HDF file.
 cudf.io.parquet.to_parquet : Write a DataFrame to the binary parquet format.
 cudf.io.feather.to_feather : Write out feather-format for DataFrames.
 """
@@ -898,7 +898,7 @@
 
 See Also
 --------
-cudf.io.csv.to_csv
+cudf.to_csv
 """.format(
     remote_data_sources=_docstring_remote_sources
 )
@@ -963,7 +963,7 @@
 
 See Also
 --------
-cudf.io.csv.read_csv
+cudf.read_csv
 """
 doc_to_csv = docfmt_partial(
     docstring=_docstring_to_csv.format(
diff --git a/python/dask_cudf/dask_cudf/backends.py b/python/dask_cudf/dask_cudf/backends.py
index 53543b9e886..6fb5efbdf0f 100644
--- a/python/dask_cudf/dask_cudf/backends.py
+++ b/python/dask_cudf/dask_cudf/backends.py
@@ -51,8 +51,8 @@ def _nonempty_index(idx):
         data = np.array([start, "1970-01-02"], dtype=idx.dtype)
         values = cudf.core.column.as_column(data)
         return cudf.core.index.DatetimeIndex(values, name=idx.name)
-    elif isinstance(idx, cudf.core.index.StringIndex):
-        return cudf.core.index.StringIndex(["cat", "dog"], name=idx.name)
+    elif isinstance(idx, cudf.StringIndex):
+        return cudf.StringIndex(["cat", "dog"], name=idx.name)
     elif isinstance(idx, cudf.core.index.CategoricalIndex):
         key = tuple(idx._data.keys())
         assert len(key) == 1

From 10bbfccc99d3999f82121cdc431830d4ab8a8f34 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 3 Aug 2021 13:31:04 -0700
Subject: [PATCH 41/49] fix general functions

---
 .../source/api_docs/general_functions.rst     | 30 ++++++++++++++++---
 1 file changed, 26 insertions(+), 4 deletions(-)

diff --git a/docs/cudf/source/api_docs/general_functions.rst b/docs/cudf/source/api_docs/general_functions.rst
index 2cbc1e93df5..226ae8acd32 100644
--- a/docs/cudf/source/api_docs/general_functions.rst
+++ b/docs/cudf/source/api_docs/general_functions.rst
@@ -1,10 +1,32 @@
 =================
 General Functions
 =================
+.. currentmodule:: cudf
 
-.. automodule:: cudf.core.reshape
-    :members:
+Data manipulations
+------------------
 
-.. autofunction:: cudf.to_datetime
+.. autosummary::
+   :toctree: api/
 
-.. autofunction:: cudf.to_numeric
+   cudf.concat
+   cudf.melt
+   cudf.get_dummies
+   cudf.merge_sorted
+   cudf.pivot
+   cudf.unstack
+
+Top-level conversions
+---------------------
+.. autosummary::
+   :toctree: api/
+
+    cudf.to_numeric
+
+Top-level dealing with datetimelike
+-----------------------------------
+
+.. autosummary::
+   :toctree: api/
+
+    cudf.to_datetime

From 87c64ec0c9a8d6fd641777f439d505b6432f37cb Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 3 Aug 2021 15:54:31 -0700
Subject: [PATCH 42/49] adds docs

---
 docs/cudf/source/api_docs/general_utilities.rst | 11 ++++++++---
 docs/cudf/source/index.rst                      |  8 +++++++-
 2 files changed, 15 insertions(+), 4 deletions(-)

diff --git a/docs/cudf/source/api_docs/general_utilities.rst b/docs/cudf/source/api_docs/general_utilities.rst
index 6f50c70498b..d9c53c3fbbd 100644
--- a/docs/cudf/source/api_docs/general_utilities.rst
+++ b/docs/cudf/source/api_docs/general_utilities.rst
@@ -2,7 +2,12 @@
 General Utilities
 =================
 
-.. currentmodule:: cudf.testing
+Testing functions
+-----------------
+.. autosummary::
+   :toctree: api/
 
-.. automodule:: cudf.testing.testing
-    :members:
+   cudf.testing.testing.assert_column_equal
+   cudf.testing.testing.assert_frame_equal
+   cudf.testing.testing.assert_index_equal
+   cudf.testing.testing.assert_series_equal
diff --git a/docs/cudf/source/index.rst b/docs/cudf/source/index.rst
index 950694f69a7..5ed0a9973be 100644
--- a/docs/cudf/source/index.rst
+++ b/docs/cudf/source/index.rst
@@ -1,7 +1,13 @@
 Welcome to cuDF's documentation!
 =================================
 
-<This is a doc page...>
+cuDF is a Python GPU DataFrame library (built on the `Apache Arrow
+<http://arrow.apache.org/>`_ columnar memory format) for loading, joining,
+aggregating, filtering, and otherwise manipulating data. cuDF also provides a
+pandas-like API that will be familiar to data engineers & data scientists, so
+they can use it to easily accelerate their workflows without going into
+the details of CUDA programming.
+
 
 .. toctree::
    :maxdepth: 2

From c0996b3cf94a8f4af75da57e959a4da4ef4cd935 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Tue, 3 Aug 2021 18:37:15 -0700
Subject: [PATCH 43/49] fix pymod index creation

---
 docs/cudf/source/conf.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/docs/cudf/source/conf.py b/docs/cudf/source/conf.py
index 20b0eb9f736..c5f1233d022 100644
--- a/docs/cudf/source/conf.py
+++ b/docs/cudf/source/conf.py
@@ -24,7 +24,10 @@
 
 from docutils.nodes import Text
 from sphinx.addnodes import pending_xref
+import cudf
 
+sys.path.insert(0, os.path.abspath(cudf.__path__[0]))
+sys.path.insert(0, os.path.abspath("."))
 sys.path.insert(0, os.path.abspath("../.."))
 sys.path.append(os.path.abspath("./_ext"))
 
@@ -53,6 +56,8 @@
 autosummary_generate = True
 ipython_mplbackend = "str"
 
+html_use_modindex = True
+
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ["_templates"]
 

From 091002af41236e880e25054d174fc1977d6e6d4f Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Thu, 5 Aug 2021 15:01:45 -0700
Subject: [PATCH 44/49] remove modindex

---
 docs/cudf/source/index.rst | 1 -
 1 file changed, 1 deletion(-)

diff --git a/docs/cudf/source/index.rst b/docs/cudf/source/index.rst
index 5ed0a9973be..90b287bd1b6 100644
--- a/docs/cudf/source/index.rst
+++ b/docs/cudf/source/index.rst
@@ -22,5 +22,4 @@ Indices and tables
 ==================
 
 * :ref:`genindex`
-* :ref:`modindex`
 * :ref:`search`

From f76781ab2d291466bbcb37cb8160393bc445e62d Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Thu, 5 Aug 2021 17:06:33 -0700
Subject: [PATCH 45/49] fix API page content

---
 docs/cudf/source/api_docs/index.rst | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/docs/cudf/source/api_docs/index.rst b/docs/cudf/source/api_docs/index.rst
index 7948f6d240c..70b9563fc1d 100644
--- a/docs/cudf/source/api_docs/index.rst
+++ b/docs/cudf/source/api_docs/index.rst
@@ -2,9 +2,8 @@
 API reference
 =============
 
-This is a simple demonstration site to show off a few visual
-and structural elements of the theme. Click the sections on
-the left sidebar to see how various elements look on this theme.
+This page provides a list of all publicly accessible modules, methods and classes through
+``cudf.*`` namespace.
 
 .. toctree::
     :maxdepth: 2

From b8214d79dc92b92925dbd7a566cccdb51402eb76 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Fri, 6 Aug 2021 14:27:17 -0700
Subject: [PATCH 46/49] enforce table borders

---
 docs/cudf/source/_static/params.css | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/docs/cudf/source/_static/params.css b/docs/cudf/source/_static/params.css
index 4dc2d54ddb2..d0a8330d497 100644
--- a/docs/cudf/source/_static/params.css
+++ b/docs/cudf/source/_static/params.css
@@ -49,3 +49,7 @@ table.io-supported-types-table thead{
   --pst-color-toc-link-active: var(--pst-color-active-navigation);
 
 }
+
+.table td, .table th {
+    border: 1px solid #dee2e6;
+}
\ No newline at end of file

From d551ad022450427e3c585ff122fee8ff96f22cdf Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Mon, 9 Aug 2021 10:34:07 -0700
Subject: [PATCH 47/49] make table styling specific to tables only and not
 autosummary tables

---
 docs/cudf/source/_static/params.css           |  2 +-
 docs/cudf/source/basics/basics.rst            | 50 +++++++------
 docs/cudf/source/basics/groupby.rst           | 73 ++++++++++---------
 .../cudf/source/basics/io-supported-types.rst |  2 +-
 4 files changed, 66 insertions(+), 61 deletions(-)

diff --git a/docs/cudf/source/_static/params.css b/docs/cudf/source/_static/params.css
index d0a8330d497..2bdd6f5a299 100644
--- a/docs/cudf/source/_static/params.css
+++ b/docs/cudf/source/_static/params.css
@@ -50,6 +50,6 @@ table.io-supported-types-table thead{
 
 }
 
-.table td, .table th {
+.special-table td, .special-table th {
     border: 1px solid #dee2e6;
 }
\ No newline at end of file
diff --git a/docs/cudf/source/basics/basics.rst b/docs/cudf/source/basics/basics.rst
index 15b4b43662b..ee63f67daa2 100644
--- a/docs/cudf/source/basics/basics.rst
+++ b/docs/cudf/source/basics/basics.rst
@@ -12,30 +12,32 @@ cuDF uses dtypes for Series or individual columns of a DataFrame. cuDF uses NumP
 
 The following table lists all of cudf types. For methods requiring dtype arguments, strings can be specified as indicated. See the respective documentation sections for more on each type.
 
-
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Kind of Data           | Data Type        | Scalar                                                                              | String Aliases                              |
-+========================+==================+=====================================================================================+=============================================+
-| Integer                |                  | np.int8_, np.int16_, np.int32_, np.int64_, np.uint8_, np.uint16_,                   | ``'int8'``, ``'int16'``, ``'int32'``,       |
-|                        |                  | np.uint32_, np.uint64_                                                              | ``'int64'``, ``'uint8'``, ``'uint16'``,     |
-|                        |                  |                                                                                     | ``'uint32'``, ``'uint64'``                  |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Float                  |                  | np.float32_, np.float64_                                                            | ``'float32'``, ``'float64'``                |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Strings                |                  | `str <https://docs.python.org/3/library/stdtypes.html#str>`_                        | ``'string'``, ``'object'``                  |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Datetime               |                  | np.datetime64_                                                                      | ``'datetime64[s]'``, ``'datetime64[ms]'``,  |
-|                        |                  |                                                                                     | ``'datetime64[us]'``, ``'datetime64[ns]'``  |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Timedelta              |                  | np.timedelta64_                                                                     | ``'timedelta64[s]'``, ``'timedelta64[ms]'``,|
-| (duration type)        |                  |                                                                                     | ``'timedelta64[us]'``, ``'timedelta64[ns]'``|
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Categorical            | CategoricalDtype | (none)                                                                              | ``'category'``                              |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Boolean                |                  | np.bool_                                                                            | ``'bool'``                                  |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
-| Decimal                | Decimal64Dtype   | (none)                                                                              | (none)                                      |
-+------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+.. rst-class:: special-table
+.. table::
+
+    +------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+    | Kind of Data           | Data Type        | Scalar                                                                              | String Aliases                              |
+    +========================+==================+=====================================================================================+=============================================+
+    | Integer                |                  | np.int8_, np.int16_, np.int32_, np.int64_, np.uint8_, np.uint16_,                   | ``'int8'``, ``'int16'``, ``'int32'``,       |
+    |                        |                  | np.uint32_, np.uint64_                                                              | ``'int64'``, ``'uint8'``, ``'uint16'``,     |
+    |                        |                  |                                                                                     | ``'uint32'``, ``'uint64'``                  |
+    +------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+    | Float                  |                  | np.float32_, np.float64_                                                            | ``'float32'``, ``'float64'``                |
+    +------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+    | Strings                |                  | `str <https://docs.python.org/3/library/stdtypes.html#str>`_                        | ``'string'``, ``'object'``                  |
+    +------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+    | Datetime               |                  | np.datetime64_                                                                      | ``'datetime64[s]'``, ``'datetime64[ms]'``,  |
+    |                        |                  |                                                                                     | ``'datetime64[us]'``, ``'datetime64[ns]'``  |
+    +------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+    | Timedelta              |                  | np.timedelta64_                                                                     | ``'timedelta64[s]'``, ``'timedelta64[ms]'``,|
+    | (duration type)        |                  |                                                                                     | ``'timedelta64[us]'``, ``'timedelta64[ns]'``|
+    +------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+    | Categorical            | CategoricalDtype | (none)                                                                              | ``'category'``                              |
+    +------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+    | Boolean                |                  | np.bool_                                                                            | ``'bool'``                                  |
+    +------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
+    | Decimal                | Decimal64Dtype   | (none)                                                                              | (none)                                      |
+    +------------------------+------------------+-------------------------------------------------------------------------------------+---------------------------------------------+
 
 **Note: All dtypes above are Nullable**
 
diff --git a/docs/cudf/source/basics/groupby.rst b/docs/cudf/source/basics/groupby.rst
index a6ce9db6817..04c4d42fa2a 100644
--- a/docs/cudf/source/basics/groupby.rst
+++ b/docs/cudf/source/basics/groupby.rst
@@ -131,41 +131,44 @@ Aggregations on groups is supported via the ``agg`` method:
 The following table summarizes the available aggregations and the types
 that support them:
 
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| Aggregations / dtypes              | Numeric   | Datetime   | String   | Categorical   | List   | Struct   | Interval   | Decimal   |
-+====================================+===========+============+==========+===============+========+==========+============+===========+
-| count                              | ✅        | ✅         | ✅       | ✅            |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| size                               | ✅        | ✅         | ✅       | ✅            |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| sum                                | ✅        | ✅         |          |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| idxmin                             | ✅        | ✅         |          |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| idxmax                             | ✅        | ✅         |          |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| min                                | ✅        | ✅         | ✅       |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| max                                | ✅        | ✅         | ✅       |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| mean                               | ✅        | ✅         |          |               |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| var                                | ✅        | ✅         |          |               |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| std                                | ✅        | ✅         |          |               |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| quantile                           | ✅        | ✅         |          |               |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| median                             | ✅        | ✅         |          |               |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| nunique                            | ✅        | ✅         | ✅       | ✅            |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| nth                                | ✅        | ✅         | ✅       |               |        |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| collect                            | ✅        | ✅         | ✅       |               | ✅     |          |            | ✅        |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
-| unique                             | ✅        | ✅         | ✅       | ✅            |        |          |            |           |
-+------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+.. rst-class:: special-table
+.. table::
+
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | Aggregations / dtypes              | Numeric   | Datetime   | String   | Categorical   | List   | Struct   | Interval   | Decimal   |
+   +====================================+===========+============+==========+===============+========+==========+============+===========+
+   | count                              | ✅        | ✅         | ✅       | ✅            |        |          |            | ✅        |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | size                               | ✅        | ✅         | ✅       | ✅            |        |          |            | ✅        |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | sum                                | ✅        | ✅         |          |               |        |          |            | ✅        |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | idxmin                             | ✅        | ✅         |          |               |        |          |            | ✅        |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | idxmax                             | ✅        | ✅         |          |               |        |          |            | ✅        |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | min                                | ✅        | ✅         | ✅       |               |        |          |            | ✅        |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | max                                | ✅        | ✅         | ✅       |               |        |          |            | ✅        |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | mean                               | ✅        | ✅         |          |               |        |          |            |           |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | var                                | ✅        | ✅         |          |               |        |          |            |           |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | std                                | ✅        | ✅         |          |               |        |          |            |           |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | quantile                           | ✅        | ✅         |          |               |        |          |            |           |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | median                             | ✅        | ✅         |          |               |        |          |            |           |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | nunique                            | ✅        | ✅         | ✅       | ✅            |        |          |            | ✅        |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | nth                                | ✅        | ✅         | ✅       |               |        |          |            | ✅        |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | collect                            | ✅        | ✅         | ✅       |               | ✅     |          |            | ✅        |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
+   | unique                             | ✅        | ✅         | ✅       | ✅            |        |          |            |           |
+   +------------------------------------+-----------+------------+----------+---------------+--------+----------+------------+-----------+
 
 GroupBy apply
 -------------
diff --git a/docs/cudf/source/basics/io-supported-types.rst b/docs/cudf/source/basics/io-supported-types.rst
index 739c1634ca7..78c1bfb6554 100644
--- a/docs/cudf/source/basics/io-supported-types.rst
+++ b/docs/cudf/source/basics/io-supported-types.rst
@@ -3,7 +3,7 @@ I/O Supported dtypes
 
 The following table lists are compatible cudf types for each supported IO format.
 
-.. rst-class:: io-supported-types-table
+.. rst-class:: io-supported-types-table special-table
 .. table::
     :widths: 15 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
 

From 81067f52bfe9a575086de677319fa73b1c7326e7 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Mon, 9 Aug 2021 11:00:35 -0700
Subject: [PATCH 48/49] make pivot, unstack top level accessible

---
 python/cudf/cudf/__init__.py | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/python/cudf/cudf/__init__.py b/python/cudf/cudf/__init__.py
index be78b9cf825..13c20d8bcd4 100644
--- a/python/cudf/cudf/__init__.py
+++ b/python/cudf/cudf/__init__.py
@@ -74,7 +74,14 @@
     tan,
     true_divide,
 )
-from cudf.core.reshape import concat, get_dummies, melt, merge_sorted
+from cudf.core.reshape import (
+    concat,
+    get_dummies,
+    melt,
+    merge_sorted,
+    pivot,
+    unstack,
+)
 from cudf.core.series import isclose
 from cudf.core.tools.datetimes import DateOffset, to_datetime
 from cudf.core.tools.numeric import to_numeric

From 2620c508ff820f715dbba8fde72bf465a2dac463 Mon Sep 17 00:00:00 2001
From: galipremsagar <sagarprem75@gmail.com>
Date: Mon, 9 Aug 2021 12:33:23 -0700
Subject: [PATCH 49/49] docstring fix

---
 python/cudf/cudf/core/index.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/cudf/cudf/core/index.py b/python/cudf/cudf/core/index.py
index f3954c3e564..b3ca6f7973b 100644
--- a/python/cudf/cudf/core/index.py
+++ b/python/cudf/cudf/core/index.py
@@ -2941,7 +2941,7 @@ def from_breaks(breaks, closed="right", name=None, copy=False, dtype=None):
         Construct an IntervalIndex from an array of splits.
 
         Parameters
-        ---------
+        ----------
         breaks : array-like (1-dimensional)
             Left and right bounds for each interval.
         closed : {"left", "right", "both", "neither"}, default "right"