CHANGELOG.md

cuDF 0.8.0 (Date TBD)

New Features

• 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 #1665 Add the point-in-polygon GIS function
• PR #1863 Series and Dataframe methods for all and any
• PR #1921 Add additional formats for typecasting to/from strings
• PR #1807 Add Series.dropna()
• PR #1948 Add operator functions like Series.add() to DataFrame and Series
• PR #1954 Add skip test argument to GPU build script
• PR #1542 Python method and bindings for to_csv

Improvements

• PR #1538 Replacing LesserRTTI with inequality_comparator
• PR #1703 C++: Added non-aggregating insert to concurrent_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 to device_table row operators
• PR #1764 Improve Numerical column: mean_var and mean
• 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 #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::tables
• 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 to column_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_columns
• 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 to bool
• PR #1938 Add default constructor for column_wrapper
• 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 to std::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

Bug Fixes

• PR #1465 Fix for test_orc.py and test_sparse_df.py test failures
• PR #1583 Fix underlying issue in as_index() that was causing Series.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] in dataframe.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 and int16 dtypes
• PR #1857 Cython Bindings: Handle bool columns while calling column_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 #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

cudf 0.7.2 (16 May 2019)

New Features

• PR #1735 Added overload for atomicAdd on int64. Streamlined implementation of custom atomic overloads.
• PR #1741 Add MultiIndex concatenation

Bug Fixes

• 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

cudf 0.7.1 (11 May 2019)

New Features

• PR #1702 Lazy load MultiIndex to return groupby performance to near optimal.

Bug Fixes

• PR #1708 Fix handling of datetime64[ms] in dataframe.select_dtypes

cuDF 0.7.0 (10 May 2019)

New Features

• 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

Improvements

• 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 #1278 Update CONTRIBUTING for new conda environment yml naming conventions
• PR #1163 Refactored UnaryOps. Reduced API to two functions: gdf_unary_math and gdf_cast. Added abs, -, 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() and Series.to_array() can accept the scalar too now.
• PR #1005 generic reduction and scan 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() and ASSERT_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_columns
• 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 to src/table and moved table.hpp. Made types.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. Merged valids_ops.cu and bitmask_ops.cu
• PR #1553 Overload hash_row to avoid using intial hash values. Updated gdf_hash to select between overloads
• PR #1585 Updated cudf::table to maintain own copy of wrapped gdf_column*s
• PR #1559 Add except + to all Cython function definitions to catch C++ exceptions properly
• PR #1617 has_nulls and column_dtypes for cudf::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 underlying gdf_column* of a Column
• PR #1655 Update readme conda install instructions for cudf version 0.6 and 0.7

Bug Fixes

• 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 with MultiIndex
• 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

cuDF 0.6.1 (25 Mar 2019)

Bug Fixes

• PR #1275 Fix CentOS exception in DataFrame.hash_partition from using value "returned" by a void function

cuDF 0.6.0 (22 Mar 2019)

New Features

• PR #760 Raise FileNotFoundError instead of GDF_FILE_ERROR in read_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 to DataFrame, Series, and Index
• 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= and suffixes= 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

Improvements

• 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 and is_monotonic attribute to Index
• 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 in Series.hash_encode with numba
• PR #942 Added increment/decrement operators for wrapper types
• PR #943 Updated count_nonzero_mask to return num_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 function gdf_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 a Column) from Series.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

Bug Fixes

• 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

cuDF 0.5.1 (05 Feb 2019)

Bug Fixes

• PR #842 Avoid using numpy via cimport to prevent ABI issues in Cython compilation

cuDF 0.5.0 (28 Jan 2019)

New Features

• 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 and DataFrame.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 libcudf gdf_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

Improvements

• 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 to int
• 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

Bug Fixes

• 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 and compression parameters in the csv reader
• PR #502 Simplify Dockerfile for local dev, eliminate old conda/pip envs
• PR #512 fix bug for on parameter in DataFrame.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 of delimiter.
• 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

cuDF 0.4.0 (05 Dec 2018)

New Features

• PR #398 add pandas-compatible DataFrame.shape() and Series.shape()
• PR #394 New documentation feature "10 Minutes to cuDF"
• PR #361 CSV Reader: Add support for strings with delimiters

Improvements

• 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

Bug Fixes

• 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

cuDF 0.3.0 (23 Nov 2018)

New Features

• PR #336 CSV Reader string support

Improvements

• 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

Bug Fixes

• 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

cuDF 0.2.0 and cuDF 0.1.0

These were initial releases of cuDF based on previously separate pyGDF and libGDF libraries.