Rename FrameOneD to SingleColumnFrame.

python/cudf/cudf/core/frame.py

@@ -3301,10 +3301,10 @@ def _reindex(
         return self._mimic_inplace(result, inplace=inplace)
 
 
-class FrameOneD(Frame):
+class SingleColumnFrame(Frame):
     """A one-dimensional frame.
 
-    Frames with only a single dimension share certain logic that is encoded in
+    Frames with only a single column share certain logic that is encoded in
     this class.
     """
 
@@ -3459,7 +3459,7 @@ def from_arrow(cls, array):
 
         Returns
         -------
-        FrameOneD
+        SingleColumnFrame
 
         Examples
         --------

python/cudf/cudf/core/index.py

@@ -29,7 +29,7 @@
 )
 from cudf.core.column.string import StringMethods as StringMethods
 from cudf.core.dtypes import IntervalDtype
-from cudf.core.frame import FrameOneD
+from cudf.core.frame import SingleColumnFrame
 from cudf.utils import ioutils
 from cudf.utils.docutils import copy_docstring
 from cudf.utils.dtypes import (
@@ -45,7 +45,7 @@
 from cudf.utils.utils import cached_property, search_range
 
 
-class Index(FrameOneD, Serializable):
+class Index(SingleColumnFrame, Serializable):
 
     dtype: DtypeObj
 
@@ -1427,7 +1427,7 @@ def _from_table(cls, table):
 
     @classmethod
     def _from_data(cls, data, index=None):
-        return cls._from_table(FrameOneD(data=data))
+        return cls._from_table(SingleColumnFrame(data=data))
 
     @property
     def _constructor_expanddim(self):
@@ -1474,7 +1474,7 @@ def __new__(
         if step == 0:
             raise ValueError("Step must not be zero.")
 
-        out = FrameOneD.__new__(cls)
+        out = SingleColumnFrame.__new__(cls)
         if isinstance(start, range):
             therange = start
             start = therange.start
@@ -1827,7 +1827,7 @@ def __new__(cls, values, **kwargs):
             Column's name. Otherwise if this name is different from the value
             Column's, the values Column will be cloned to adopt this name.
         """
-        out = FrameOneD.__new__(cls)
+        out = SingleColumnFrame.__new__(cls)
         out._initialize(values, **kwargs)
 
         return out
@@ -2043,7 +2043,7 @@ class NumericIndex(GenericIndex):
 
     def __new__(cls, data=None, dtype=None, copy=False, name=None):
 
-        out = FrameOneD.__new__(cls)
+        out = SingleColumnFrame.__new__(cls)
         dtype = _index_to_dtype[cls]
         if copy:
             data = column.as_column(data, dtype=dtype).copy()
@@ -2165,7 +2165,7 @@ def __new__(
         # pandas dtindex creation first which.  For now
         # just make sure we handle np.datetime64 arrays
         # and then just dispatch upstream
-        out = FrameOneD.__new__(cls)
+        out = SingleColumnFrame.__new__(cls)
 
         if freq is not None:
             raise NotImplementedError("Freq is not yet supported")
@@ -2420,7 +2420,7 @@ def __new__(
         name=None,
     ) -> "TimedeltaIndex":
 
-        out = FrameOneD.__new__(cls)
+        out = SingleColumnFrame.__new__(cls)
 
         if freq is not None:
             raise NotImplementedError("freq is not yet supported")
@@ -2552,7 +2552,7 @@ def __new__(
                 )
         if copy:
             data = column.as_column(data, dtype=dtype).copy(deep=True)
-        out = FrameOneD.__new__(cls)
+        out = SingleColumnFrame.__new__(cls)
         kwargs = _setdefault_name(data, name=name)
         if isinstance(data, CategoricalColumn):
             data = data
@@ -2778,7 +2778,7 @@ def __new__(
     ) -> "IntervalIndex":
         if copy:
             data = column.as_column(data, dtype=dtype).copy()
-        out = FrameOneD.__new__(cls)
+        out = SingleColumnFrame.__new__(cls)
         kwargs = _setdefault_name(data, name=name)
         if isinstance(data, IntervalColumn):
             data = data
@@ -2851,7 +2851,7 @@ class StringIndex(GenericIndex):
     """
 
     def __new__(cls, values, copy=False, **kwargs):
-        out = FrameOneD.__new__(cls)
+        out = SingleColumnFrame.__new__(cls)
         kwargs = _setdefault_name(values, **kwargs)
         if isinstance(values, StringColumn):
             values = values.copy(deep=copy)

python/cudf/cudf/core/multiindex.py

@@ -19,7 +19,7 @@
 from cudf.core._compat import PANDAS_GE_120
 from cudf.core.column import column
 from cudf.core.column_accessor import ColumnAccessor
-from cudf.core.frame import Frame, FrameOneD
+from cudf.core.frame import Frame, SingleColumnFrame
 from cudf.core.index import Index, as_index
 
 
@@ -572,7 +572,7 @@ def from_arrow(cls, table):
                    names=['a', 'b'])
         """
 
-        return super(FrameOneD, cls).from_arrow(table)
+        return super(SingleColumnFrame, cls).from_arrow(table)
 
     def to_arrow(self):
         """Convert MultiIndex to PyArrow Table
@@ -606,7 +606,7 @@ def to_arrow(self):
         ]
         """
 
-        return super(FrameOneD, self).to_arrow()
+        return super(SingleColumnFrame, self).to_arrow()
 
     @property
     def codes(self):

python/cudf/cudf/core/series.py

@@ -38,7 +38,7 @@
 from cudf.core.column.string import StringMethods
 from cudf.core.column.struct import StructMethods
 from cudf.core.column_accessor import ColumnAccessor
-from cudf.core.frame import FrameOneD, _drop_rows_by_labels
+from cudf.core.frame import SingleColumnFrame, _drop_rows_by_labels
 from cudf.core.groupby.groupby import SeriesGroupBy
 from cudf.core.index import Index, RangeIndex, as_index
 from cudf.core.indexing import _SeriesIlocIndexer, _SeriesLocIndexer
@@ -61,7 +61,7 @@
 )
 
 
-class Series(FrameOneD, Serializable):
+class Series(SingleColumnFrame, Serializable):
     # The `constructor*` properties are used by `dask` (and `dask_cudf`)
     @property
     def _constructor(self):
@@ -1043,9 +1043,9 @@ def __getitem__(self, arg):
         else:
             return self.loc[arg]
 
-    iteritems = FrameOneD.__iter__
+    iteritems = SingleColumnFrame.__iter__
 
-    items = FrameOneD.__iter__
+    items = SingleColumnFrame.__iter__
 
     def to_dict(self, into=dict):
         raise TypeError(