- PR #2423 Added
groupby.quantile()
- PR #2522 Add Java bindings for NVStrings backed upper and lower case mutators
- PR #2605 Added Sort based groupby in libcudf
- PR #2607 Add Java bindings for parsing JSON
- PR #2629 Add dropna= parameter to groupby
- PR #2585 ORC & Parquet Readers: Remove millisecond timestamp restriction
- PR #2507 Add GPU-accelerated ORC Writer
- PR #2559 Add Series.tolist()
- PR #2653 Add Java bindings for rolling window operations
- PR #2480 Merge
custreamz
codebase intocudf
repo - PR #2674 Add contains for Index/Series/Column
- PR #2635 Add support to read from remote and cloud sources like s3, gcs, hdfs
- PR #2722 Add Java bindings for NVTX ranges
- PR #2702 Add make_bool to dataset generation functions
- PR #2394 Move
rapidsai/custrings
intocudf
- PR #2734 Final sync of custrings source into cudf
- PR #2724 Add libcudf support for contains
- PR #2777 Add python bindings for porter stemmer measure functionality
- PR #2781 Add issorted to is_monotonic
- PR #2685 Add cudf::scatter_to_tables and cython binding
- PR #2743 Add Java bindings for NVStrings timestamp2long as part of String ColumnVector casting
- PR #2785 Add nvstrings Python docs
- PR #2786 Add benchmarks option to root build.sh
- PR #2802 Add
cudf::repeat()
andcudf.Series.repeat()
- PR #2773 Add Fisher's unbiased kurtosis and skew for Series/DataFrame
- PR #2748 Parquet Reader: Add option to specify loading of PANDAS index
- PR #2807 Add scatter_by_map to DataFrame python API
- PR #2836 Add nvstrings.code_points method
- PR #2844 Add Series/DataFrame notnull
- PR #2858 Add GTest type list utilities
- PR #2719 Series covariance and Pearson correlation
- PR #2207 Beginning of libcudf overhaul: introduce new column and table types
- PR #2869 Add
cudf.CategoricalDtype
- PR #2838 CSV Reader: Support ARROW_RANDOM_FILE input
- PR #2655 CuPy-based Series and Dataframe .values property
- PR #2803 Added
edit_distance_matrix()
function to calculate pairwise edit distance for each string on a given nvstrings object. - PR #2872 Add Java pinned memory pool allocator
- PR #2578 Update legacy_groupby to use libcudf group_by_without_aggregation
- PR #2581 Removed
managed
allocator from hash map classes. - PR #2571 Remove unnecessary managed memory from gdf_column_concat
- PR #2648 Cython/Python reorg
- PR #2588 Update Series.append documentation
- PR #2632 Replace dask-cudf set_index code with upstream
- PR #2682 Add cudf.set_allocator() function for easier allocator init
- PR #2642 Improve null printing and testing
- PR #2747 Add missing Cython headers / cudftestutil lib to conda package for cuspatial build
- PR #2706 Compute CSV format in device code to speedup performance
- PR #2673 Add support for np.longlong type
- PR #2703 move dask serialization dispatch into cudf
- PR #2728 Add YYMMDD to version tag for nightly conda packages
- PR #2729 Handle file-handle input in to_csv
- PR #2741 CSV Reader: Move kernel functions into its own file
- PR #2766 Improve nvstrings python cmake flexibility
- PR #2756 Add out_time_unit option to csv reader, support timestamp resolutions
- PR #2771 Stopgap alias for to_gpu_matrix()
- PR #2783 Support mapping input columns to function arguments in apply kernels
- PR #2645 libcudf unique_count for Series.nunique
- PR #2817 Dask-cudf:
read_parquet
support for remote filesystems - PR #2823 improve java data movement debugging
- PR #2806 CSV Reader: Clean-up row offset operations
- PR #2640 Add dask wait/persist exmaple to 10 minute guide
- PR #2828 Optimizations of kernel launch configuration for
DataFrame.apply_rows
andDataFrame.apply_chunks
- PR #2831 Add
column
argument toDataFrame.drop
- PR #2775 Various optimizations to improve getitem and setitem performance
- PR #2810 cudf::allocate_like can optionally always allocate a mask.
- PR #2833 Parquet reader: align page data allocation sizes to 4-bytes to satisfy cuda-memcheck
- PR #2832 Using the new Python bindings for UCX
- PR #2856 Update group_split_cudf to use scatter_by_map
- PR #2778 Doc: Updated and fixed some docstrings that were formatted incorrectly.
- PR #2830 Use YYMMDD tag in custreamz nightly build
- PR #2887 Minor snappy decompression optimization
- PR #2899 Use new RMM API based on Cython
- PR #2909 CSV Reader: Avoid row offsets host vector default init
- PR #2584 ORC Reader: fix parsing of
DECIMAL
index positions - PR #2619 Fix groupby serialization/deserialization
- PR #2614 Update Java version to match
- PR #2601 Fixes nlargest(1) issue in Series and Dataframe
- PR #2610 Fix a bug in index serialization (properly pass DeviceNDArray)
- PR #2621 Fixes the floordiv issue of not promoting float type when rhs is 0
- PR #2611 Types Test: fix static casting from negative int to string
- PR #2618 IO Readers: Fix datasource memory map failure for multiple reads
- PR #2628 groupby_without_aggregation non-nullable input table produces non-nullable output
- PR #2615 fix string category partitioning in java API
- PR #2641 fix string category and timeunit concat in the java API
- PR #2649 Fix groupby issue resulting from column_empty bug
- PR #2658 Fix astype() for null categorical columns
- PR #2660 fix column string category and timeunit concat in the java API
- PR #2664 ORC reader: fix
skip_rows
larger than first stripe - PR #2654 Allow Java gdfOrderBy to work with string categories
- PR #2669 AVRO reader: fix non-deterministic output
- PR #2668 Update Java bindings to specify timestamp units for ORC and Parquet readers
- PR #2679 AVRO reader: fix cuda errors when decoding compressed streams
- PR #2692 Add concatenation for data-frame with different headers (empty and non-empty)
- PR #2651 Remove nvidia driver installation from ci/cpu/build.sh
- PR #2697 Ensure csv reader sets datetime column time units
- PR #2698 Return RangeIndex from contiguous slice of RangeIndex
- PR #2672 Fix null and integer handling in round
- PR #2704 Parquet Reader: Fix crash when loading string column with nulls
- PR #2725 Fix Jitify issue with running on Turing using CUDA version < 10
- PR #2731 Fix building of benchmarks
- PR #2738 Fix java to find new NVStrings locations
- PR #2736 Pin Jitify branch to v0.10 version
- PR #2742 IO Readers: Fix possible silent failures when creating
NvStrings
instance - PR #2753 Fix java quantile API calls
- PR #2762 Fix validity processing for time in java
- PR #2796 Fix handling string slicing and other nvstrings delegated methods with dask
- PR #2769 Fix link to API docs in README.md
- PR #2772 Handle multiindex pandas Series #2772
- PR #2749 Fix apply_rows/apply_chunks pessimistic null mask to use in_cols null masks only
- PR #2752 CSV Reader: Fix exception when there's no rows to process
- PR #2716 Added Exception for
StringMethods
in string methods - PR #2787 Fix Broadcasting
None
tocudf-series
- PR #2794 Fix async race in NVCategory::get_value and get_value_bounds
- PR #2795 Fix java build/cast error
- PR #2496 Fix improper merge of two dataframes when names differ
- PR #2824 Fix issue with incorrect result when Numeric Series replace is called several times
- PR #2751 Replace value with null
- PR #2765 Fix Java inequality comparisons for string category
- PR #2818 Fix java join API to use new C++ join API
- PR #2841 Fix nvstrings.slice and slice_from for range (0,0)
- PR #2837 Fix join benchmark
- PR #2809 Add hash_df and group_split dispatch functions for dask
- PR #2843 Parquet reader: fix skip_rows when not aligned with page or row_group boundaries
- PR #2851 Deleted existing dask-cudf/record.txt
- PR #2854 Fix column creation from ephemeral objects exposing cuda_array_interface
- PR #2860 Fix boolean indexing when the result is a single row
- PR #2859 Fix tail method issue for string columns
- PR #2852 Fixed
cumsum()
andcumprod()
on boolean series. - PR #2865 DaskIO: Fix
read_csv
andread_orc
when input is list of files - PR #2750 Fixed casting values to cudf::bool8 so non-zero values always cast to true
- PR #2873 Fixed dask_cudf read_partition bug by generating ParquetDatasetPiece
- PR #2850 Fixes dask_cudf.read_parquet on partitioned datasets
- PR #2896 Properly handle
axis
string keywords inconcat
- PR #2963 Fix ORC writer uncompressed block indexing
- PR #1993 Add CUDA-accelerated series aggregations: mean, var, std
- PR #2111 IO Readers: Support memory buffer, file-like object, and URL inputs
- PR #2012 Add
reindex()
to DataFrame and Series - PR #2097 Add GPU-accelerated AVRO reader
- PR #2098 Support binary ops on DFs and Series with mismatched indices
- PR #2160 Merge
dask-cudf
codebase intocudf
repo - PR #2149 CSV Reader: Add
hex
dtype for explicit hexadecimal parsing - PR #2156 Add
upper_bound()
andlower_bound()
for libcudf tables andsearchsorted()
for cuDF Series - PR #2158 CSV Reader: Support single, non-list/dict argument for
dtype
- PR #2177 CSV Reader: Add
parse_dates
parameter for explicit date inference - PR #1744 cudf::apply_boolean_mask and cudf::drop_nulls support for cudf::table inputs (multi-column)
- PR #2196 Add
DataFrame.dropna()
- PR #2197 CSV Writer: add
chunksize
parameter forto_csv
- PR #2215
type_dispatcher
benchmark - PR #2179 Add Java quantiles
- PR #2157 Add array_function to DataFrame and Series
- PR #2212 Java support for ORC reader
- PR #2224 Add DataFrame isna, isnull, notna functions
- PR #2236 Add Series.drop_duplicates
- PR #2105 Add hash-based join benchmark
- PR #2316 Add unique, nunique, and value_counts for datetime columns
- PR #2337 Add Java support for slicing a ColumnVector
- PR #2049 Add cudf::merge (sorted merge)
- PR #2368 Full cudf+dask Parquet Support
- PR #2380 New cudf::is_sorted checks whether cudf::table is sorted
- PR #2356 Java column vector standard deviation support
- PR #2221 MultiIndex full indexing - Support iloc and wildcards for loc
- PR #2429 Java support for getting length of strings in a ColumnVector
- PR #2415 Add
value_counts
for series of any type - PR #2446 Add array_function for index
- PR #2437 ORC reader: Add 'use_np_dtypes' option
- PR #2382 Add CategoricalAccessor add, remove, rename, and ordering methods
- PR #2464 Native implement
__cuda_array_interface__
for Series/Index/Column objects - PR #2425 Rolling window now accepts array-based user-defined functions
- PR #2442 Add setitem
- PR #2449 Java support for getting byte count of strings in a ColumnVector
- PR #2492 Add groupby.size() method
- PR #2358 Add cudf::nans_to_nulls: convert floating point column into bitmask
- PR #2489 Add drop argument to set_index
- PR #2491 Add Java bindings for ORC reader 'use_np_dtypes' option
- PR #2213 Support s/ms/us/ns DatetimeColumn time unit resolutions
- PR #2536 Add _constructor properties to Series and DataFrame
- PR #2103 Move old
column
andbitmask
files intolegacy/
directory - PR #2109 added name to Python column classes
- PR #1947 Cleanup serialization code
- PR #2125 More aggregate in java API
- PR #2127 Add in java Scalar tests
- PR #2088 Refactor of Python groupby code
- PR #2130 Java serialization and deserialization of tables.
- PR #2131 Chunk rows logic added to csv_writer
- PR #2129 Add functions in the Java API to support nullable column filtering
- PR #2165 made changes to get_dummies api for it to be available in MethodCache
- PR #2171 Add CodeCov integration, fix doc version, make --skip-tests work when invoking with source
- PR #2184 handle remote orc files for dask-cudf
- PR #2186 Add
getitem
andgetattr
style access to Rolling objects - PR #2168 Use cudf.Column for CategoricalColumn's categories instead of a tuple
- PR #2193 DOC: cudf::type_dispatcher documentation for specializing dispatched functors
- PR #2199 Better java support for appending strings
- PR #2176 Added column dtype support for datetime, int8, int16 to csv_writer
- PR #2209 Matching
get_dummies
&select_dtypes
behavior to pandas - PR #2217 Updated Java bindings to use the new groupby API
- PR #2214 DOC: Update doc instructions to build/install
cudf
anddask-cudf
- PR #2220 Update Java bindings for reduction rename
- PR #2232 Move CodeCov upload from build script to Jenkins
- PR #2225 refactor to use libcudf for gathering columns in dataframes
- PR #2293 Improve join performance (faster compute_join_output_size)
- PR #2300 Create separate dask codeowners for dask-cudf codebase
- PR #2304 gdf_group_by_without_aggregations returns gdf_column
- PR #2309 Java readers: remove redundant copy of result pointers
- PR #2307 Add
black
andisort
to style checker script - PR #2345 Restore removal of old groupby implementation
- PR #2342 Improve
astype()
to operate all ways - PR #2329 using libcudf cudf::copy for column deep copy
- PR #2344 DOC: docs on code formatting for contributors
- PR #2376 Add inoperative axis= and win_type= arguments to Rolling()
- PR #2378 remove dask for (de-)serialization of cudf objects
- PR #2353 Bump Arrow and Dask versions
- PR #2377 Replace
standard_python_slice
with justslice.indices()
- PR #2373 cudf.DataFrame enchancements & Series.values support
- PR #2392 Remove dlpack submodule; make cuDF's Cython API externally accessible
- PR #2430 Updated Java bindings to use the new unary API
- PR #2406 Moved all existing
table
related files to alegacy/
directory - PR #2350 Performance related changes to get_dummies
- PR #2420 Remove
cudautils.astype
and replace withtypecast.apply_cast
- PR #2456 Small improvement to typecast utility
- PR #2458 Fix handling of thirdparty packages in
isort
config - PR #2459 IO Readers: Consolidate all readers to use
datasource
class - PR #2475 Exposed type_dispatcher.hpp, nvcategory_util.hpp and wrapper_types.hpp in the include folder
- PR #2484 Enabled building libcudf as a static library
- PR #2453 Streamline CUDA_REL environment variable
- PR #2483 Bundle Boost filesystem dependency in the Java jar
- PR #2486 Java API hash functions
- PR #2481 Adds the ignore_null_keys option to the java api
- PR #2490 Java api: support multiple aggregates for the same column
- PR #2510 Java api: uses table based apply_boolean_mask
- PR #2432 Use pandas formatting for console, html, and latex output
- PR #2573 Bump numba version to 0.45.1
- PR #2606 Fix references to notebooks-contrib
- PR #2086 Fixed quantile api behavior mismatch in series & dataframe
- PR #2128 Add offset param to host buffer readers in java API.
- PR #2145 Work around binops validity checks for java
- PR #2146 Work around unary_math validity checks for java
- PR #2151 Fixes bug in cudf::copy_range where null_count was invalid
- PR #2139 matching to pandas describe behavior & fixing nan values issue
- PR #2161 Implicitly convert unsigned to signed integer types in binops
- PR #2154 CSV Reader: Fix bools misdetected as strings dtype
- PR #2178 Fix bug in rolling bindings where a view of an ephemeral column was being taken
- PR #2180 Fix issue with isort reordering
importorskip
below imports depending on them - PR #2187 fix to honor dtype when numpy arrays are passed to columnops.as_column
- PR #2190 Fix issue in astype conversion of string column to 'str'
- PR #2208 Fix issue with calling
head()
on one row dataframe - PR #2229 Propagate exceptions from Cython cdef functions
- PR #2234 Fix issue with local build script not properly building
- PR #2223 Fix CUDA invalid configuration errors reported after loading small compressed ORC files
- PR #2162 Setting is_unique and is_monotonic-related attributes
- PR #2244 Fix ORC RLEv2 delta mode decoding with nonzero residual delta width
- PR #2297 Work around
var/std
unsupported only at debug build - PR #2302 Fixed java serialization corner case
- PR #2355 Handle float16 in binary operations
- PR #2311 Fix copy behaviour for GenericIndex
- PR #2349 Fix issues with String filter in java API
- PR #2323 Fix groupby on categoricals
- PR #2328 Ensure order is preserved in CategoricalAccessor._set_categories
- PR #2202 Fix issue with unary ops mishandling empty input
- PR #2326 Fix for bug in DLPack when reading multiple columns
- PR #2324 Fix cudf Docker build
- PR #2325 Fix ORC RLEv2 patched base mode decoding with nonzero patch width
- PR #2235 Fix get_dummies to be compatible with dask
- PR #2332 Zero initialize gdf_dtype_extra_info
- PR #2355 Handle float16 in binary operations
- PR #2360 Fix missing dtype handling in cudf.Series & columnops.as_column
- PR #2364 Fix quantile api and other trivial issues around it
- PR #2361 Fixed issue with
codes
of CategoricalIndex - PR #2357 Fixed inconsistent type of index created with from_pandas vs direct construction
- PR #2389 Fixed Rolling getattr and getitem for offset based windows
- PR #2402 Fixed bug in valid mask computation in cudf::copy_if (apply_boolean_mask)
- PR #2401 Fix to a scalar datetime(of type Days) issue
- PR #2386 Correctly allocate output valids in groupby
- PR #2411 Fixed failures on binary op on single element string column
- PR #2422 Fix Pandas logical binary operation incompatibilites
- PR #2447 Fix CodeCov posting build statuses temporarily
- PR #2450 Fix erroneous null handling in
cudf.DataFrame
'sapply_rows
- PR #2470 Fix issues with empty strings and string categories (Java)
- PR #2471 Fix String Column Validity.
- PR #2481 Fix java validity buffer serialization
- PR #2485 Updated bytes calculation to use size_t to avoid overflow in column concat
- PR #2461 Fix groupby multiple aggregations same column
- PR #2514 Fix cudf::drop_nulls threshold handling in Cython
- PR #2516 Fix utilities include paths and meta.yaml header paths
- PR #2517 Fix device memory leak in to_dlpack tensor deleter
- PR #2431 Fix local build generated file ownerships
- PR #2511 Added import of orc, refactored exception handlers to not squash fatal exceptions
- PR #2527 Fix index and column input handling in dask_cudf read_parquet
- PR #2466 Fix
dataframe.query
returning null rows erroneously - PR #2548 Orc reader: fix non-deterministic data decoding at chunk boundaries
- PR #2557 fix cudautils import in string.py
- PR #2521 Fix casting datetimes from/to the same resolution
- PR #2545 Fix MultiIndexes with datetime levels
- PR #2560 Remove duplicate
dlpack
definition in conda recipe - PR #2567 Fix ColumnVector.fromScalar issues while dealing with null scalars
- PR #2565 Orc reader: fix incorrect data decoding of int64 data types
- PR #2577 Fix search benchmark compilation error by adding necessary header
- PR #2604 Fix a bug in copying.pyx:_normalize_types that upcasted int32 to int64
- PR #1524 Add GPU-accelerated JSON Lines parser with limited feature set
- PR #1569 Add support for Json objects to the JSON Lines reader
- PR #1622 Add Series.loc
- PR #1654 Add cudf::apply_boolean_mask: faster replacement for gdf_apply_stencil
- PR #1487 cython gather/scatter
- PR #1310 Implemented the slice/split functionality.
- PR #1630 Add Python layer to the GPU-accelerated JSON reader
- PR #1745 Add rounding of numeric columns via Numba
- PR #1772 JSON reader: add support for BytesIO and StringIO input
- PR #1527 Support GDF_BOOL8 in readers and writers
- PR #1819 Logical operators (AND, OR, NOT) for libcudf and cuDF
- PR #1813 ORC Reader: Add support for stripe selection
- PR #1828 JSON Reader: add suport for bool8 columns
- PR #1833 Add column iterator with/without nulls
- PR #1665 Add the point-in-polygon GIS function
- PR #1863 Series and Dataframe methods for all and any
- PR #1908 cudf::copy_range and cudf::fill for copying/assigning an index or range to a constant
- PR #1921 Add additional formats for typecasting to/from strings
- PR #1807 Add Series.dropna()
- PR #1987 Allow user defined functions in the form of ptx code to be passed to binops
- PR #1948 Add operator functions like
Series.add()
to DataFrame and Series - PR #1954 Add skip test argument to GPU build script
- PR #2018 Add bindings for new groupby C++ API
- PR #1984 Add rolling window operations Series.rolling() and DataFrame.rolling()
- PR #1542 Python method and bindings for to_csv
- PR #1995 Add Java API
- PR #1998 Add google benchmark to cudf
- PR #1845 Add cudf::drop_duplicates, DataFrame.drop_duplicates
- PR #1652 Added
Series.where()
feature - PR #2074 Java Aggregates, logical ops, and better RMM support
- PR #2140 Add a
cudf::transform
function - PR #2068 Concatenation of different typed columns
- PR #1538 Replacing LesserRTTI with inequality_comparator
- PR #1703 C++: Added non-aggregating
insert
toconcurrent_unordered_map
with specializations to store pairs with a single atomicCAS when possible. - PR #1422 C++: Added a RAII wrapper for CUDA streams
- PR #1701 Added
unique
method for stringColumns - PR #1713 Add documentation for Dask-XGBoost
- PR #1666 CSV Reader: Improve performance for files with large number of columns
- PR #1725 Enable the ability to use a single column groupby as its own index
- PR #1759 Add an example showing simultaneous rolling averages to
apply_grouped
documentation - PR #1746 C++: Remove unused code:
windowed_ops.cu
,sorting.cu
,hash_ops.cu
- PR #1748 C++: Add
bool
nullability flag todevice_table
row operators - PR #1764 Improve Numerical column:
mean_var
andmean
- PR #1767 Speed up Python unit tests
- PR #1770 Added build.sh script, updated CI scripts and documentation
- PR #1739 ORC Reader: Add more pytest coverage
- PR #1696 Added null support in
Series.replace()
. - PR #1390 Added some basic utility functions for
gdf_column
's - PR #1791 Added general column comparison code for testing
- PR #1795 Add printing of git submodule info to
print_env.sh
- PR #1796 Removing old sort based group by code and gdf_filter
- PR #1811 Added funtions for copying/allocating
cudf::table
s - PR #1838 Improve columnops.column_empty so that it returns typed columns instead of a generic Column
- PR #1890 Add utils.get_dummies- a pandas-like wrapper around one_hot-encoding
- PR #1823 CSV Reader: default the column type to string for empty dataframes
- PR #1827 Create bindings for scalar-vector binops, and update one_hot_encoding to use them
- PR #1817 Operators now support different sized dataframes as long as they don't share different sized columns
- PR #1855 Transition replace_nulls to new C++ API and update corresponding Cython/Python code
- PR #1858 Add
std::initializer_list
constructor tocolumn_wrapper
- PR #1846 C++ type-erased gdf_equal_columns test util; fix gdf_equal_columns logic error
- PR #1390 Added some basic utility functions for
gdf_column
s - PR #1391 Tidy up bit-resolution-operation and bitmask class code
- PR #1882 Add iloc functionality to MultiIndex dataframes
- PR #1884 Rolling windows: general enhancements and better coverage for unit tests
- PR #1886 support GDF_STRING_CATEGORY columns in apply_boolean_mask, drop_nulls and other libcudf functions
- PR #1896 Improve performance of groupby with levels specified in dask-cudf
- PR #1915 Improve iloc performance for non-contiguous row selection
- PR #1859 Convert read_json into a C++ API
- PR #1919 Rename libcudf namespace gdf to namespace cudf
- PR #1850 Support left_on and right_on for DataFrame merge operator
- PR #1930 Specialize constructor for
cudf::bool8
to cast argument tobool
- PR #1938 Add default constructor for
column_wrapper
- PR #1930 Specialize constructor for
cudf::bool8
to cast argument tobool
- PR #1952 consolidate libcudf public API headers in include/cudf
- PR #1949 Improved selection with boolmask using libcudf
apply_boolean_mask
- PR #1956 Add support for nulls in
query()
- PR #1973 Update
std::tuple
tostd::pair
in top-most libcudf APIs and C++ transition guide - PR #1981 Convert read_csv into a C++ API
- PR #1868 ORC Reader: Support row index for speed up on small/medium datasets
- PR #1964 Added support for list-like types in Series.str.cat
- PR #2005 Use HTML5 details tag in bug report issue template
- PR #2003 Removed few redundant unit-tests from test_string.py::test_string_cat
- PR #1944 Groupby design improvements
- PR #2017 Convert
read_orc()
into a C++ API - PR #2011 Convert
read_parquet()
into a C++ API - PR #1756 Add documentation "10 Minutes to cuDF and dask_cuDF"
- PR #2034 Adding support for string columns concatenation using "add" binary operator
- PR #2042 Replace old "10 Minutes" guide with new guide for docs build process
- PR #2036 Make library of common test utils to speed up tests compilation
- PR #2022 Facilitating get_dummies to be a high level api too
- PR #2050 Namespace IO readers and add back free-form
read_xxx
functions - PR #2104 Add a functional
sort=
keyword argument to groupby - PR #2108 Add
find_and_replace
for StringColumn for replacing single values
- PR #1465 Fix for test_orc.py and test_sparse_df.py test failures
- PR #1583 Fix underlying issue in
as_index()
that was causingSeries.quantile()
to fail - PR #1680 Add errors= keyword to drop() to fix cudf-dask bug
- PR #1651 Fix
query
function on empty dataframe - PR #1616 Fix CategoricalColumn to access categories by index instead of iteration
- PR #1660 Fix bug in
loc
when indexing with a column name (a string) - PR #1683 ORC reader: fix timestamp conversion to UTC
- PR #1613 Improve CategoricalColumn.fillna(-1) performance
- PR #1642 Fix failure of CSV_TEST gdf_csv_test.SkiprowsNrows on multiuser systems
- PR #1709 Fix handling of
datetime64[ms]
indataframe.select_dtypes
- PR #1704 CSV Reader: Add support for the plus sign in number fields
- PR #1687 CSV reader: return an empty dataframe for zero size input
- PR #1757 Concatenating columns with null columns
- PR #1755 Add col_level keyword argument to melt
- PR #1758 Fix df.set_index() when setting index from an empty column
- PR #1749 ORC reader: fix long strings of NULL values resulting in incorrect data
- PR #1742 Parquet Reader: Fix index column name to match PANDAS compat
- PR #1782 Update libcudf doc version
- PR #1783 Update conda dependencies
- PR #1786 Maintain the original series name in series.unique output
- PR #1760 CSV Reader: fix segfault when dtype list only includes columns from usecols list
- PR #1831 build.sh: Assuming python is in PATH instead of using PYTHON env var
- PR #1839 Raise an error instead of segfaulting when transposing a DataFrame with StringColumns
- PR #1840 Retain index correctly during merge left_on right_on
- PR #1825 cuDF: Multiaggregation Groupby Failures
- PR #1789 CSV Reader: Fix missing support for specifying
int8
andint16
dtypes - PR #1857 Cython Bindings: Handle
bool
columns while callingcolumn_view_from_NDArrays
- PR #1849 Allow DataFrame support methods to pass arguments to the methods
- PR #1847 Fixed #1375 by moving the nvstring check into the wrapper function
- PR #1864 Fixing cudf reduction for POWER platform
- PR #1869 Parquet reader: fix Dask timestamps not matching with Pandas (convert to milliseconds)
- PR #1876 add dtype=bool for
any
,all
to treat integer column correctly - PR #1875 CSV reader: take NaN values into account in dtype detection
- PR #1873 Add column dtype checking for the all/any methods
- PR #1902 Bug with string iteration in _apply_basic_agg
- PR #1887 Fix for initialization issue in pq_read_arg,orc_read_arg
- PR #1867 JSON reader: add support for null/empty fields, including the 'null' literal
- PR #1891 Fix bug #1750 in string column comparison
- PR #1909 Support of
to_pandas()
of boolean series with null values - PR #1923 Use prefix removal when two aggs are called on a SeriesGroupBy
- PR #1914 Zero initialize gdf_column local variables
- PR #1959 Add support for comparing boolean Series to scalar
- PR #1966 Ignore index fix in series append
- PR #1967 Compute index sizeof only once for DataFrame sizeof
- PR #1977 Support CUDA installation in default system directories
- PR #1982 Fixes incorrect index name after join operation
- PR #1985 Implement
GDF_PYMOD
, a special modulo that follows python's sign rules - PR #1991 Parquet reader: fix decoding of NULLs
- PR #1990 Fixes a rendering bug in the
apply_grouped
documentation - PR #1978 Fix for values being filled in an empty dataframe
- PR #2001 Correctly create MultiColumn from Pandas MultiColumn
- PR #2006 Handle empty dataframe groupby construction for dask
- PR #1965 Parquet Reader: Fix duplicate index column when it's already in
use_cols
- PR #2033 Add pip to conda environment files to fix warning
- PR #2028 CSV Reader: Fix reading of uncompressed files without a recognized file extension
- PR #2073 Fix an issue when gathering columns with NVCategory and nulls
- PR #2053 cudf::apply_boolean_mask return empty column for empty boolean mask
- PR #2066 exclude
IteratorTest.mean_var_output
test from debug build - PR #2069 Fix JNI code to use read_csv and read_parquet APIs
- PR #2071 Fix bug with unfound transitive dependencies for GTests in Ubuntu 18.04
- PR #2089 Configure Sphinx to render params correctly
- PR #2091 Fix another bug with unfound transitive dependencies for
cudftestutils
in Ubuntu 18.04 - PR #2115 Just apply
--disable-new-dtags
instead of trying to define all the transitive dependencies - PR #2106 Fix errors in JitCache tests caused by sharing of device memory between processes
- PR #2120 Fix errors in JitCache tests caused by running multiple threads on the same data
- PR #2102 Fix memory leak in groupby
- PR #2113 fixed typo in to_csv code example
- PR #1735 Added overload for atomicAdd on int64. Streamlined implementation of custom atomic overloads.
- PR #1741 Add MultiIndex concatenation
- PR #1718 Fix issue with SeriesGroupBy MultiIndex in dask-cudf
- PR #1734 Python: fix performance regression for groupby count() aggregations
- PR #1768 Cython: fix handling read only schema buffers in gpuarrow reader
- PR #1702 Lazy load MultiIndex to return groupby performance to near optimal.
- PR #1708 Fix handling of
datetime64[ms]
indataframe.select_dtypes
- PR #982 Implement gdf_group_by_without_aggregations and gdf_unique_indices functions
- PR #1142 Add
GDF_BOOL
column type - PR #1194 Implement overloads for CUDA atomic operations
- PR #1292 Implemented Bitwise binary ops AND, OR, XOR (&, |, ^)
- PR #1235 Add GPU-accelerated Parquet Reader
- PR #1335 Added local_dict arg in
DataFrame.query()
. - PR #1282 Add Series and DataFrame.describe()
- PR #1356 Rolling windows
- PR #1381 Add DataFrame._get_numeric_data
- PR #1388 Add CODEOWNERS file to auto-request reviews based on where changes are made
- PR #1396 Add DataFrame.drop method
- PR #1413 Add DataFrame.melt method
- PR #1412 Add DataFrame.pop()
- PR #1419 Initial CSV writer function
- PR #1441 Add Series level cumulative ops (cumsum, cummin, cummax, cumprod)
- PR #1420 Add script to build and test on a local gpuCI image
- PR #1440 Add DatetimeColumn.min(), DatetimeColumn.max()
- PR #1455 Add Series.Shift via Numba kernel
- PR #1441 Add Series level cumulative ops (cumsum, cummin, cummax, cumprod)
- PR #1461 Add Python coverage test to gpu build
- PR #1445 Parquet Reader: Add selective reading of rows and row group
- PR #1532 Parquet Reader: Add support for INT96 timestamps
- PR #1516 Add Series and DataFrame.ndim
- PR #1556 Add libcudf C++ transition guide
- PR #1466 Add GPU-accelerated ORC Reader
- PR #1565 Add build script for nightly doc builds
- PR #1508 Add Series isna, isnull, and notna
- PR #1456 Add Series.diff() via Numba kernel
- PR #1588 Add Index
astype
typecasting - PR #1301 MultiIndex support
- PR #1599 Level keyword supported in groupby
- PR #929 Add support operations to dataframe
- PR #1609 Groupby accept list of Series
- PR #1658 Support
group_keys=True
keyword in groupby method
- PR #1531 Refactor closures as private functions in gpuarrow
- PR #1404 Parquet reader page data decoding speedup
- PR #1076 Use
type_dispatcher
in join, quantiles, filter, segmented sort, radix sort and hash_groupby - PR #1202 Simplify README.md
- PR #1149 CSV Reader: Change convertStrToValue() functions to
__device__
only - PR #1238 Improve performance of the CUDA trie used in the CSV reader
- PR #1245 Use file cache for JIT kernels
- PR #1278 Update CONTRIBUTING for new conda environment yml naming conventions
- PR #1163 Refactored UnaryOps. Reduced API to two functions:
gdf_unary_math
andgdf_cast
. Addedabs
,-
, and~
ops. Changed bindings to Cython - PR #1284 Update docs version
- PR #1287 add exclude argument to cudf.select_dtype function
- PR #1286 Refactor some of the CSV Reader kernels into generic utility functions
- PR #1291 fillna in
Series.to_gpu_array()
andSeries.to_array()
can accept the scalar too now. - PR #1005 generic
reduction
andscan
support - PR #1349 Replace modernGPU sort join with thrust.
- PR #1363 Add a dataframe.mean(...) that raises NotImplementedError to satisfy
dask.dataframe.utils.is_dataframe_like
- PR #1319 CSV Reader: Use column wrapper for gdf_column output alloc/dealloc
- PR #1376 Change series quantile default to linear
- PR #1399 Replace CFFI bindings for NVTX functions with Cython bindings
- PR #1389 Refactored
set_null_count()
- PR #1386 Added macros
GDF_TRY()
,CUDF_TRY()
andASSERT_CUDF_SUCCEEDED()
- PR #1435 Rework CMake and conda recipes to depend on installed libraries
- PR #1391 Tidy up bit-resolution-operation and bitmask class code
- PR #1439 Add cmake variable to enable compiling CUDA code with -lineinfo
- PR #1462 Add ability to read parquet files from arrow::io::RandomAccessFile
- PR #1453 Convert CSV Reader CFFI to Cython
- PR #1479 Convert Parquet Reader CFFI to Cython
- PR #1397 Add a utility function for producing an overflow-safe kernel launch grid configuration
- PR #1382 Add GPU parsing of nested brackets to cuIO parsing utilities
- PR #1481 Add cudf::table constructor to allocate a set of
gdf_column
s - PR #1484 Convert GroupBy CFFI to Cython
- PR #1463 Allow and default melt keyword argument var_name to be None
- PR #1486 Parquet Reader: Use device_buffer rather than device_ptr
- PR #1525 Add cudatoolkit conda dependency
- PR #1520 Renamed
src/dataframe
tosrc/table
and movedtable.hpp
. Madetypes.hpp
to be type declarations only. - PR #1492 Convert transpose CFFI to Cython
- PR #1495 Convert binary and unary ops CFFI to Cython
- PR #1503 Convert sorting and hashing ops CFFI to Cython
- PR #1522 Use latest release version in update-version CI script
- PR #1533 Remove stale join CFFI, fix memory leaks in join Cython
- PR #1521 Added
row_bitmask
to compute bitmask for rows of a table. Mergedvalids_ops.cu
andbitmask_ops.cu
- PR #1553 Overload
hash_row
to avoid using intial hash values. Updatedgdf_hash
to select between overloads - PR #1585 Updated
cudf::table
to maintain own copy of wrappedgdf_column*
s - PR #1559 Add
except +
to all Cython function definitions to catch C++ exceptions properly - PR #1617
has_nulls
andcolumn_dtypes
forcudf::table
- PR #1590 Remove CFFI from the build / install process entirely
- PR #1536 Convert gpuarrow CFFI to Cython
- PR #1655 Add
Column._pointer
as a way to access underlyinggdf_column*
of aColumn
- PR #1655 Update readme conda install instructions for cudf version 0.6 and 0.7
- PR #1233 Fix dtypes issue while adding the column to
str
dataframe. - PR #1254 CSV Reader: fix data type detection for floating-point numbers in scientific notation
- PR #1289 Fix looping over each value instead of each category in concatenation
- PR #1293 Fix Inaccurate error message in join.pyx
- PR #1308 Add atomicCAS overload for
int8_t
,int16_t
- PR #1317 Fix catch polymorphic exception by reference in ipc.cu
- PR #1325 Fix dtype of null bitmasks to int8
- PR #1326 Update build documentation to use -DCMAKE_CXX11_ABI=ON
- PR #1334 Add "na_position" argument to CategoricalColumn sort_by_values
- PR #1321 Fix out of bounds warning when checking Bzip2 header
- PR #1359 Add atomicAnd/Or/Xor for integers
- PR #1354 Fix
fillna()
behaviour when replacing values with different dtypes - PR #1347 Fixed core dump issue while passing dict_dtypes without column names in
cudf.read_csv()
- PR #1379 Fixed build failure caused due to error: 'col_dtype' may be used uninitialized
- PR #1392 Update cudf Dockerfile and package_versions.sh
- PR #1385 Added INT8 type to
_schema_to_dtype
for use in GpuArrowReader - PR #1393 Fixed a bug in
gdf_count_nonzero_mask()
for the case of 0 bits to count - PR #1395 Update CONTRIBUTING to use the environment variable CUDF_HOME
- PR #1416 Fix bug at gdf_quantile_exact and gdf_quantile_appox
- PR #1421 Fix remove creation of series multiple times during
add_column()
- PR #1405 CSV Reader: Fix memory leaks on read_csv() failure
- PR #1328 Fix CategoricalColumn to_arrow() null mask
- PR #1433 Fix NVStrings/categories includes
- PR #1432 Update NVStrings to 0.7.* to coincide with 0.7 development
- PR #1483 Modify CSV reader to avoid cropping blank quoted characters in non-string fields
- PR #1446 Merge 1275 hotfix from master into branch-0.7
- PR #1447 Fix legacy groupby apply docstring
- PR #1451 Fix hash join estimated result size is not correct
- PR #1454 Fix local build script improperly change directory permissions
- PR #1490 Require Dask 1.1.0+ for
is_dataframe_like
test or skip otherwise. - PR #1491 Use more specific directories & groups in CODEOWNERS
- PR #1497 Fix Thrust issue on CentOS caused by missing default constructor of host_vector elements
- PR #1498 Add missing include guard to device_atomics.cuh and separated DEVICE_ATOMICS_TEST
- PR #1506 Fix csv-write call to updated NVStrings method
- PR #1510 Added nvstrings
fillna()
function - PR #1507 Parquet Reader: Default string data to GDF_STRING
- PR #1535 Fix doc issue to ensure correct labelling of cudf.series
- PR #1537 Fix
undefined reference
link error in HashPartitionTest - PR #1548 Fix ci/local/build.sh README from using an incorrect image example
- PR #1551 CSV Reader: Fix integer column name indexing
- PR #1586 Fix broken
scalar_wrapper::operator==
- PR #1591 ORC/Parquet Reader: Fix missing import for FileNotFoundError exception
- PR #1573 Parquet Reader: Fix crash due to clash with ORC reader datasource
- PR #1607 Revert change of
column.to_dense_buffer
always return by copy for performance concerns - PR #1618 ORC reader: fix assert & data output when nrows/skiprows isn't aligned to stripe boundaries
- PR #1631 Fix failure of TYPES_TEST on some gcc-7 based systems.
- PR #1641 CSV Reader: Fix skip_blank_lines behavior with Windows line terminators (\r\n)
- PR #1648 ORC reader: fix non-deterministic output when skiprows is non-zero
- PR #1676 Fix groupby
as_index
behaviour withMultiIndex
- PR #1659 Fix bug caused by empty groupbys and multiindex slicing throwing exceptions
- PR #1656 Correct Groupby failure in dask when un-aggregable columns are left in dataframe.
- PR #1689 Fix groupby performance regression
- PR #1694 Add Cython as a runtime dependency since it's required in
setup.py
- PR #1275 Fix CentOS exception in DataFrame.hash_partition from using value "returned" by a void function
- PR #760 Raise
FileNotFoundError
instead ofGDF_FILE_ERROR
inread_csv
if the file does not exist - PR #539 Add Python bindings for replace function
- PR #823 Add Doxygen configuration to enable building HTML documentation for libcudf C/C++ API
- PR #807 CSV Reader: Add byte_range parameter to specify the range in the input file to be read
- PR #857 Add Tail method for Series/DataFrame and update Head method to use iloc
- PR #858 Add series feature hashing support
- PR #871 CSV Reader: Add support for NA values, including user specified strings
- PR #893 Adds PyArrow based parquet readers / writers to Python, fix category dtype handling, fix arrow ingest buffer size issues
- PR #867 CSV Reader: Add support for ignoring blank lines and comment lines
- PR #887 Add Series digitize method
- PR #895 Add Series groupby
- PR #898 Add DataFrame.groupby(level=0) support
- PR #920 Add feather, JSON, HDF5 readers / writers from PyArrow / Pandas
- PR #888 CSV Reader: Add prefix parameter for column names, used when parsing without a header
- PR #913 Add DLPack support: convert between cuDF DataFrame and DLTensor
- PR #939 Add ORC reader from PyArrow
- PR #918 Add Series.groupby(level=0) support
- PR #906 Add binary and comparison ops to DataFrame
- PR #958 Support unary and binary ops on indexes
- PR #964 Add
rename
method toDataFrame
,Series
, andIndex
- PR #985 Add
Series.to_frame
method - PR #985 Add
drop=
keyword to reset_index method - PR #994 Remove references to pygdf
- PR #990 Add external series groupby support
- PR #988 Add top-level merge function to cuDF
- PR #992 Add comparison binaryops to DateTime columns
- PR #996 Replace relative path imports with absolute paths in tests
- PR #995 CSV Reader: Add index_col parameter to specify the column name or index to be used as row labels
- PR #1004 Add
from_gpu_matrix
method to DataFrame - PR #997 Add property index setter
- PR #1007 Replace relative path imports with absolute paths in cudf
- PR #1013 select columns with df.columns
- PR #1016 Rename Series.unique_count() to nunique() to match pandas API
- PR #947 Prefixsum to handle nulls and float types
- PR #1029 Remove rest of relative path imports
- PR #1021 Add filtered selection with assignment for Dataframes
- PR #872 Adding NVCategory support to cudf apis
- PR #1052 Add left/right_index and left/right_on keywords to merge
- PR #1091 Add
indicator=
andsuffixes=
keywords to merge - PR #1107 Add unsupported keywords to Series.fillna
- PR #1032 Add string support to cuDF python
- PR #1136 Removed
gdf_concat
- PR #1153 Added function for getting the padded allocation size for valid bitmask
- PR #1148 Add cudf.sqrt for dataframes and Series
- PR #1159 Add Python bindings for libcudf dlpack functions
- PR #1155 Add array_ufunc for DataFrame and Series for sqrt
- PR #1168 to_frame for series accepts a name argument
- PR #1218 Add dask-cudf page to API docs
- PR #892 Add support for heterogeneous types in binary ops with JIT
- PR #730 Improve performance of
gdf_table
constructor - PR #561 Add Doxygen style comments to Join CUDA functions
- PR #813 unified libcudf API functions by replacing gpu_ with gdf_
- PR #822 Add support for
__cuda_array_interface__
for ingest - PR #756 Consolidate common helper functions from unordered map and multimap
- PR #753 Improve performance of groupby sum and average, especially for cases with few groups.
- PR #836 Add ingest support for arrow chunked arrays in Column, Series, DataFrame creation
- PR #763 Format doxygen comments for csv_read_arg struct
- PR #532 CSV Reader: Use type dispatcher instead of switch block
- PR #694 Unit test utilities improvements
- PR #878 Add better indexing to Groupby
- PR #554 Add
empty
method andis_monotonic
attribute toIndex
- PR #1040 Fixed up Doxygen comment tags
- PR #909 CSV Reader: Avoid host->device->host copy for header row data
- PR #916 Improved unit testing and error checking for
gdf_column_concat
- PR #941 Replace
numpy
call inSeries.hash_encode
withnumba
- PR #942 Added increment/decrement operators for wrapper types
- PR #943 Updated
count_nonzero_mask
to returnnum_rows
when the mask is null - PR #952 Added trait to map C++ type to
gdf_dtype
- PR #966 Updated RMM submodule.
- PR #998 Add IO reader/writer modules to API docs, fix for missing cudf.Series docs
- PR #1017 concatenate along columns for Series and DataFrames
- PR #1002 Support indexing a dataframe with another boolean dataframe
- PR #1018 Better concatenation for Series and Dataframes
- PR #1036 Use Numpydoc style docstrings
- PR #1047 Adding gdf_dtype_extra_info to gdf_column_view_augmented
- PR #1054 Added default ctor to SerialTrieNode to overcome Thrust issue in CentOS7 + CUDA10
- PR #1024 CSV Reader: Add support for hexadecimal integers in integral-type columns
- PR #1033 Update
fillna()
to use libcudf functiongdf_replace_nulls
- PR #1066 Added inplace assignment for columns and select_dtypes for dataframes
- PR #1026 CSV Reader: Change the meaning and type of the quoting parameter to match Pandas
- PR #1100 Adds
CUDF_EXPECTS
error-checking macro - PR #1092 Fix select_dtype docstring
- PR #1111 Added cudf::table
- PR #1108 Sorting for datetime columns
- PR #1120 Return a
Series
(not aColumn
) fromSeries.cat.set_categories()
- PR #1128 CSV Reader: The last data row does not need to be line terminated
- PR #1183 Bump Arrow version to 0.12.1
- PR #1208 Default to CXX11_ABI=ON
- PR #1252 Fix NVStrings dependencies for cuda 9.2 and 10.0
- PR #2037 Optimize the existing
gather
andscatter
routines inlibcudf
- PR #821 Fix flake8 issues revealed by flake8 update
- PR #808 Resolved renamed
d_columns_valids
variable name - PR #820 CSV Reader: fix the issue where reader adds additional rows when file uses \r\n as a line terminator
- PR #780 CSV Reader: Fix scientific notation parsing and null values for empty quotes
- PR #815 CSV Reader: Fix data parsing when tabs are present in the input CSV file
- PR #850 Fix bug where left joins where the left df has 0 rows causes a crash
- PR #861 Fix memory leak by preserving the boolean mask index
- PR #875 Handle unnamed indexes in to/from arrow functions
- PR #877 Fix ingest of 1 row arrow tables in from arrow function
- PR #876 Added missing
<type_traits>
include - PR #889 Deleted test_rmm.py which has now moved to RMM repo
- PR #866 Merge v0.5.1 numpy ABI hotfix into 0.6
- PR #917 value_counts return int type on empty columns
- PR #611 Renamed
gdf_reduce_optimal_output_size()
->gdf_reduction_get_intermediate_output_size()
- PR #923 fix index for negative slicing for cudf dataframe and series
- PR #927 CSV Reader: Fix category GDF_CATEGORY hashes not being computed properly
- PR #921 CSV Reader: Fix parsing errors with delim_whitespace, quotations in the header row, unnamed columns
- PR #933 Fix handling objects of all nulls in series creation
- PR #940 CSV Reader: Fix an issue where the last data row is missing when using byte_range
- PR #945 CSV Reader: Fix incorrect datetime64 when milliseconds or space separator are used
- PR #959 Groupby: Problem with column name lookup
- PR #950 Converting dataframe/recarry with non-contiguous arrays
- PR #963 CSV Reader: Fix another issue with missing data rows when using byte_range
- PR #999 Fix 0 sized kernel launches and empty sort_index exception
- PR #993 Fix dtype in selecting 0 rows from objects
- PR #1009 Fix performance regression in
to_pandas
method on DataFrame - PR #1008 Remove custom dask communication approach
- PR #1001 CSV Reader: Fix a memory access error when reading a large (>2GB) file with date columns
- PR #1019 Binary Ops: Fix error when one input column has null mask but other doesn't
- PR #1014 CSV Reader: Fix false positives in bool value detection
- PR #1034 CSV Reader: Fix parsing floating point precision and leading zero exponents
- PR #1044 CSV Reader: Fix a segfault when byte range aligns with a page
- PR #1058 Added support for
DataFrame.loc[scalar]
- PR #1060 Fix column creation with all valid nan values
- PR #1073 CSV Reader: Fix an issue where a column name includes the return character
- PR #1090 Updating Doxygen Comments
- PR #1080 Fix dtypes returned from loc / iloc because of lists
- PR #1102 CSV Reader: Minor fixes and memory usage improvements
- PR #1174: Fix release script typo
- PR #1137 Add prebuild script for CI
- PR #1118 Enhanced the
DataFrame.from_records()
feature - PR #1129 Fix join performance with index parameter from using numpy array
- PR #1145 Issue with .agg call on multi-column dataframes
- PR #908 Some testing code cleanup
- PR #1167 Fix issue with null_count not being set after inplace fillna()
- PR #1184 Fix iloc performance regression
- PR #1185 Support left_on/right_on and also on=str in merge
- PR #1200 Fix allocating bitmasks with numba instead of rmm in allocate_mask function
- PR #1213 Fix bug with csv reader requesting subset of columns using wrong datatype
- PR #1223 gpuCI: Fix label on rapidsai channel on gpu build scripts
- PR #1242 Add explicit Thrust exec policy to fix NVCATEGORY_TEST segfault on some platforms
- PR #1246 Fix categorical tests that failed due to bad implicit type conversion
- PR #1255 Fix overwriting conda package main label uploads
- PR #1259 Add dlpack includes to pip build
- PR #842 Avoid using numpy via cimport to prevent ABI issues in Cython compilation
- PR #722 Add bzip2 decompression support to
read_csv()
- PR #693 add ZLIB-based GZIP/ZIP support to
read_csv_strings()
- PR #411 added null support to gdf_order_by (new API) and cudf_table::sort
- PR #525 Added GitHub Issue templates for bugs, documentation, new features, and questions
- PR #501 CSV Reader: Add support for user-specified decimal point and thousands separator to read_csv_strings()
- PR #455 CSV Reader: Add support for user-specified decimal point and thousands separator to read_csv()
- PR #439 add
DataFrame.drop
method similar to pandas - PR #356 add
DataFrame.transpose
method andDataFrame.T
property similar to pandas - PR #505 CSV Reader: Add support for user-specified boolean values
- PR #350 Implemented Series replace function
- PR #490 Added print_env.sh script to gather relevant environment details when reporting cuDF issues
- PR #474 add ZLIB-based GZIP/ZIP support to
read_csv()
- PR #547 Added melt similar to
pandas.melt()
- PR #491 Add CI test script to check for updates to CHANGELOG.md in PRs
- PR #550 Add CI test script to check for style issues in PRs
- PR #558 Add CI scripts for cpu-based conda and gpu-based test builds
- PR #524 Add Boolean Indexing
- PR #564 Update python
sort_values
method to use updated libcudfgdf_order_by
API - PR #509 CSV Reader: Input CSV file can now be passed in as a text or a binary buffer
- PR #607 Add
__iter__
and iteritems to DataFrame class - PR #643 added a new api gdf_replace_nulls that allows a user to replace nulls in a column
- PR #426 Removed sort-based groupby and refactored existing groupby APIs. Also improves C++/CUDA compile time.
- PR #461 Add
CUDF_HOME
variable in README.md to replace relative pathing. - PR #472 RMM: Created centralized rmm::device_vector alias and rmm::exec_policy
- PR #500 Improved the concurrent hash map class to support partitioned (multi-pass) hash table building.
- PR #454 Improve CSV reader docs and examples
- PR #465 Added templated C++ API for RMM to avoid explicit cast to
void**
- PR #513
.gitignore
tweaks - PR #521 Add
assert_eq
function for testing - PR #502 Simplify Dockerfile for local dev, eliminate old conda/pip envs
- PR #549 Adds
-rdynamic
compiler flag to nvcc for Debug builds - PR #472 RMM: Created centralized rmm::device_vector alias and rmm::exec_policy
- PR #577 Added external C++ API for scatter/gather functions
- PR #500 Improved the concurrent hash map class to support partitioned (multi-pass) hash table building
- PR #583 Updated
gdf_size_type
toint
- PR #500 Improved the concurrent hash map class to support partitioned (multi-pass) hash table building
- PR #617 Added .dockerignore file. Prevents adding stale cmake cache files to the docker container
- PR #658 Reduced
JOIN_TEST
time by isolating overflow test of hash table size computation - PR #664 Added Debuging instructions to README
- PR #651 Remove noqa marks in
__init__.py
files - PR #671 CSV Reader: uncompressed buffer input can be parsed without explicitly specifying compression as None
- PR #684 Make RMM a submodule
- PR #718 Ensure sum, product, min, max methods pandas compatibility on empty datasets
- PR #720 Refactored Index classes to make them more Pandas-like, added CategoricalIndex
- PR #749 Improve to_arrow and from_arrow Pandas compatibility
- PR #766 Remove TravisCI references, remove unused variables from CMake, fix ARROW_VERSION in Cmake
- PR #773 Add build-args back to Dockerfile and handle dependencies based on environment yml file
- PR #781 Move thirdparty submodules to root and symlink in /cpp
- PR #843 Fix broken cudf/python API examples, add new methods to the API index
- PR #569 CSV Reader: Fix days being off-by-one when parsing some dates
- PR #531 CSV Reader: Fix incorrect parsing of quoted numbers
- PR #465 Added templated C++ API for RMM to avoid explicit cast to
void**
- PR #473 Added missing include
- PR #478 CSV Reader: Add api support for auto column detection, header, mangle_dupe_cols, usecols
- PR #495 Updated README to correct where cffi pytest should be executed
- PR #501 Fix the intermittent segfault caused by the
thousands
andcompression
parameters in the csv reader - PR #502 Simplify Dockerfile for local dev, eliminate old conda/pip envs
- PR #512 fix bug for
on
parameter inDataFrame.merge
to allow for None or single column name - PR #511 Updated python/cudf/bindings/join.pyx to fix cudf merge printing out dtypes
- PR #513
.gitignore
tweaks - PR #521 Add
assert_eq
function for testing - PR #537 Fix CMAKE_CUDA_STANDARD_REQURIED typo in CMakeLists.txt
- PR #447 Fix silent failure in initializing DataFrame from generator
- PR #545 Temporarily disable csv reader thousands test to prevent segfault (test re-enabled in PR #501)
- PR #559 Fix Assertion error while using
applymap
to change the output dtype - PR #575 Update
print_env.sh
script to better handle missing commands - PR #612 Prevent an exception from occuring with true division on integer series.
- PR #630 Fix deprecation warning for
pd.core.common.is_categorical_dtype
- PR #622 Fix Series.append() behaviour when appending values with different numeric dtype
- PR #603 Fix error while creating an empty column using None.
- PR #673 Fix array of strings not being caught in from_pandas
- PR #644 Fix return type and column support of dataframe.quantile()
- PR #634 Fix create
DataFrame.from_pandas()
with numeric column names - PR #654 Add resolution check for GDF_TIMESTAMP in Join
- PR #648 Enforce one-to-one copy required when using
numba>=0.42.0
- PR #645 Fix cmake build type handling not setting debug options when CMAKE_BUILD_TYPE=="Debug"
- PR #669 Fix GIL deadlock when launching multiple python threads that make Cython calls
- PR #665 Reworked the hash map to add a way to report the destination partition for a key
- PR #670 CMAKE: Fix env include path taking precedence over libcudf source headers
- PR #674 Check for gdf supported column types
- PR #677 Fix 'gdf_csv_test_Dates' gtest failure due to missing nrows parameter
- PR #604 Fix the parsing errors while reading a csv file using
sep
instead ofdelimiter
. - PR #686 Fix converting nulls to NaT values when converting Series to Pandas/Numpy
- PR #689 CSV Reader: Fix behavior with skiprows+header to match pandas implementation
- PR #691 Fixes Join on empty input DFs
- PR #706 CSV Reader: Fix broken dtype inference when whitespace is in data
- PR #717 CSV reader: fix behavior when parsing a csv file with no data rows
- PR #724 CSV Reader: fix build issue due to parameter type mismatch in a std::max call
- PR #734 Prevents reading undefined memory in gpu_expand_mask_bits numba kernel
- PR #747 CSV Reader: fix an issue where CUDA allocations fail with some large input files
- PR #750 Fix race condition for handling NVStrings in CMake
- PR #719 Fix merge column ordering
- PR #770 Fix issue where RMM submodule pointed to wrong branch and pin other to correct branches
- PR #778 Fix hard coded ABI off setting
- PR #784 Update RMM submodule commit-ish and pip paths
- PR #794 Update
rmm::exec_policy
usage to fix segmentation faults when used as temprory allocator. - PR #800 Point git submodules to branches of forks instead of exact commits
- PR #398 add pandas-compatible
DataFrame.shape()
andSeries.shape()
- PR #394 New documentation feature "10 Minutes to cuDF"
- PR #361 CSV Reader: Add support for strings with delimiters
- PR #436 Improvements for type_dispatcher and wrapper structs
- PR #429 Add CHANGELOG.md (this file)
- PR #266 use faster CUDA-accelerated DataFrame column/Series concatenation.
- PR #379 new C++
type_dispatcher
reduces code complexity in supporting many data types. - PR #349 Improve performance for creating columns from memoryview objects
- PR #445 Update reductions to use type_dispatcher. Adds integer types support to sum_of_squares.
- PR #448 Improve installation instructions in README.md
- PR #456 Change default CMake build to Release, and added option for disabling compilation of tests
- PR #444 Fix csv_test CUDA too many resources requested fail.
- PR #396 added missing output buffer in validity tests for groupbys.
- PR #408 Dockerfile updates for source reorganization
- PR #437 Add cffi to Dockerfile conda env, fixes "cannot import name 'librmm'"
- PR #417 Fix
map_test
failure with CUDA 10 - PR #414 Fix CMake installation include file paths
- PR #418 Properly cast string dtypes to programmatic dtypes when instantiating columns
- PR #427 Fix and tests for Concatenation illegal memory access with nulls
- PR #336 CSV Reader string support
- PR #354 source code refactored for better organization. CMake build system overhaul. Beginning of transition to Cython bindings.
- PR #290 Add support for typecasting to/from datetime dtype
- PR #323 Add handling pyarrow boolean arrays in input/out, add tests
- PR #325 GDF_VALIDITY_UNSUPPORTED now returned for algorithms that don't support non-empty valid bitmasks
- PR #381 Faster InputTooLarge Join test completes in ms rather than minutes.
- PR #373 .gitignore improvements
- PR #367 Doc cleanup & examples for DataFrame methods
- PR #333 Add Rapids Memory Manager documentation
- PR #321 Rapids Memory Manager adds file/line location logging and convenience macros
- PR #334 Implement DataFrame
__copy__
and__deepcopy__
- PR #271 Add NVTX ranges to pygdf
- PR #311 Document system requirements for conda install
- PR #337 Retain index on
scale()
function - PR #344 Fix test failure due to PyArrow 0.11 Boolean handling
- PR #364 Remove noexcept from managed_allocator; CMakeLists fix for NVstrings
- PR #357 Fix bug that made all series be considered booleans for indexing
- PR #351 replace conda env configuration for developers
- PRs #346 #360 Fix CSV reading of negative numbers
- PR #342 Fix CMake to use conda-installed nvstrings
- PR #341 Preserve categorical dtype after groupby aggregations
- PR #315 ReadTheDocs build update to fix missing libcuda.so
- PR #320 FIX out-of-bounds access error in reductions.cu
- PR #319 Fix out-of-bounds memory access in libcudf count_valid_bits
- PR #303 Fix printing empty dataframe
These were initial releases of cuDF based on previously separate pyGDF and libGDF libraries.