cuDF 0.20.0 (Date TBD)

Please see https://github.com/rapidsai/cudf/releases/tag/v0.20.0a for the latest changes to this development branch.

cuDF 0.19.0 (Date TBD)

Please see https://github.com/rapidsai/cudf/releases/tag/v0.19.0a for the latest changes to this development branch.

cuDF 0.18.0 (24 Feb 2021)

Breaking Changes 🚨

Default groupby to sort=False (#7180) @isVoid
Add libcudf API for parsing of ORC statistics (#7136) @vuule
Replace ORC writer api with class (#7099) @rgsl888prabhu
Pack/unpack functionality to convert tables to and from a serialized format. (#7096) @nvdbaranec
Replace parquet writer api with class (#7058) @rgsl888prabhu
Add days check to cudf::is_timestamp using cuda::std::chrono classes (#7028) @davidwendt
Fix default parameter values of write_csv and write_parquet (#6967) @vuule
Align Series.groupby API to match Pandas (#6964) @kkraus14
Share factorize implementation with Index and cudf module (#6885) @brandon-b-miller

Bug Fixes 🐛

Remove incorrect std::move call on return variable (#7319) @davidwendt
Fix failing CI ORC test (#7313) @vuule
Disallow constructing frames from a ColumnAccessor (#7298) @shwina
fix java cuFile tests (#7296) @rongou
Fix style issues related to NumPy (#7279) @shwina
Fix bug when iloc slice terminates at before-the-zero position (#7277) @isVoid
Fix copying dtype metadata after calling libcudf functions (#7271) @shwina
Move lists utility function definition out of header (#7266) @mythrocks
Throw if bool column would cause incorrect result when writing to ORC (#7261) @vuule
Use uvector in replace_nulls; Fix sort_helper::grouped_value doc (#7256) @isVoid
Remove floating point types from cudf::sort fast-path (#7250) @davidwendt
Disallow picking output columns from nested columns. (#7248) @devavret
Fix loc for Series with a MultiIndex (#7243) @shwina
Fix Arrow column test leaks (#7241) @tgravescs
Fix test column vector leak (#7238) @kuhushukla
Fix some bugs in java scalar support for decimal (#7237) @revans2
Improve assert_eq handling of scalar (#7220) @isVoid
Fix missing null_count() comparison in test framework and related failures (#7219) @nvdbaranec
Remove floating point types from radix sort fast-path (#7215) @davidwendt
Fixing parquet benchmarks (#7214) @rgsl888prabhu
Handle various parameter combinations in replace API (#7207) @galipremsagar
Export mock aws credentials for s3 tests (#7176) @ayushdg
Add MultiIndex.rename API (#7172) @isVoid
Fix importing list & struct types in from_arrow (#7162) @galipremsagar
Fixing parquet precision writing failing if scale is equal to precision (#7146) @hyperbolic2346
Update s3 tests to use moto_server (#7144) @ayushdg
Fix JIT cache multi-process test flakiness in slow drives (#7142) @devavret
Fix compilation errors in libcudf (#7138) @galipremsagar
Fix compilation failure caused by -Wall addition. (#7134) @codereport
Add informative error message for sep in CSV writer (#7095) @galipremsagar
Add JIT cache per compute capability (#7090) @devavret
Implement __hash__ method for ListDtype (#7081) @galipremsagar
Only upload packages that were built (#7077) @raydouglass
Fix comparisons between Series and cudf.NA (#7072) @brandon-b-miller
Handle nan values correctly in Series.one_hot_encoding (#7059) @galipremsagar
Add unstack() support for non-multiindexed dataframes (#7054) @isVoid
Fix read_orc for decimal type (#7034) @rgsl888prabhu
Fix backward compatibility of loading a 0.16 pkl file (#7033) @galipremsagar
Decimal casts in JNI became a NOOP (#7032) @revans2
Restore usual instance/subclass checking to cudf.DateOffset (#7029) @shwina
Add days check to cudf::is_timestamp using cuda::std::chrono classes (#7028) @davidwendt
Fix to_csv delimiter handling of timestamp format (#7023) @davidwendt
Pin librdkakfa to gcc 7 compatible version (#7021) @raydouglass
Fix fillna & dropna to also consider np.nan as a missing value (#7019) @galipremsagar
Fix round operator's HALF_EVEN computation for negative integers (#7014) @nartal1
Skip Thrust sort patch if already applied (#7009) @harrism
Fix cudf::hash_partition for decimal32 and decimal64 (#7006) @codereport
Fix Thrust unroll patch command (#7002) @harrism
Fix loc behaviour when key of incorrect type is used (#6993) @shwina
Fix int to datetime conversion in csv_read (#6991) @kaatish
fix excluding cufile tests by default (#6988) @rongou
Fix java cufile tests when cufile is not installed (#6987) @revans2
Make cudf::round for fixed_point when scale = -decimal_places a no-op (#6975) @codereport
Fix type comparison for java (#6970) @revans2
Fix default parameter values of write_csv and write_parquet (#6967) @vuule
Align Series.groupby API to match Pandas (#6964) @kkraus14
Fix timestamp parsing in ORC reader for timezones without transitions (#6959) @vuule
Fix typo in numerical.py (#6957) @rgsl888prabhu
fixed_point_value double-shifts in fixed_point construction (#6950) @codereport
fix libcu++ include path for jni (#6948) @rongou
Fix groupby agg/apply behaviour when no key columns are provided (#6945) @shwina
Avoid inserting null elements into join hash table when nulls are treated as unequal (#6943) @hyperbolic2346
Fix cudf::merge gtest for dictionary columns (#6942) @davidwendt
Pass numeric scalars of the same dtype through numeric binops (#6938) @brandon-b-miller
Fix N/A detection for empty fields in CSV reader (#6922) @vuule
Fix rmm_mode=managed parameter for gtests (#6912) @davidwendt
Fix nullmask offset handling in parquet and orc writer (#6889) @kaatish
Correct the sampling range when sampling with replacement (#6884) @ChrisJar
Handle nested string columns with no children in contiguous_split. (#6864) @nvdbaranec
Fix columns & index handling in dataframe constructor (#6838) @galipremsagar

Documentation 📖

Update readme (#7318) @shwina
Fix typo in cudf.core.column.string.extract docs (#7253) @adelevie
Update doxyfile project number (#7161) @davidwendt
Update 10 minutes to cuDF and CuPy with new APIs (#7158) @ChrisJar
Cross link RMM & libcudf Doxygen docs (#7149) @ajschmidt8
Add documentation for support dtypes in all IO formats (#7139) @galipremsagar
Add groupby docs (#7100) @shwina
Update cudf python docstrings with new null representation (<NA>) (#7050) @galipremsagar
Make Doxygen comments formatting consistent (#7041) @vuule
Add docs for working with missing data (#7010) @galipremsagar
Remove warning in from_dlpack and to_dlpack methods (#7001) @miguelusque
libcudf Developer Guide (#6977) @harrism
Add JNI wrapper for the cuFile API (GDS) (#6940) @rongou

New Features 🚀

Support numeric_only field for rank() (#7213) @isVoid
Add support for cudf::binary_operation TRUE_DIV for decimal32 and decimal64 (#7198) @codereport
Implement COLLECT rolling window aggregation (#7189) @mythrocks
Add support for array-like inputs in cudf.get_dummies (#7181) @galipremsagar
Default groupby to sort=False (#7180) @isVoid
Add libcudf lists column count_elements API (#7173) @davidwendt
Implement cudf::group_by (sort) for decimal32 and decimal64 (#7169) @codereport
Add encoding and compression argument to CSV writer (#7168) @VibhuJawa
cudf::rolling_window SUM support for decimal32 and decimal64 (#7147) @codereport
Adding support for explode to cuDF (#7140) @hyperbolic2346
Add libcudf API for parsing of ORC statistics (#7136) @vuule
update GDS/cuFile location for 0.9 release (#7131) @rongou
Add Segmented sort (#7122) @karthikeyann
Add cudf::binary_operation NULL_MIN, NULL_MAX & NULL_EQUALS for decimal32 and decimal64 (#7119) @codereport
Add scale and value methods to fixed_point (#7109) @codereport
Replace ORC writer api with class (#7099) @rgsl888prabhu
Pack/unpack functionality to convert tables to and from a serialized format. (#7096) @nvdbaranec
Improve digitize API (#7071) @isVoid
Add List types support in data generator (#7064) @galipremsagar
cudf::scan support for decimal32 and decimal64 (#7063) @codereport
cudf::rolling ROW_NUMBER support for decimal32 and decimal64 (#7061) @codereport
Replace parquet writer api with class (#7058) @rgsl888prabhu
Support contains() on lists of primitives (#7039) @mythrocks
Implement cudf::rolling for decimal32 and decimal64 (#7037) @codereport
Add ffill and bfill to string columns (#7036) @isVoid
Enable round in cudf for DataFrame and Series (#7022) @ChrisJar
Extend replace_nulls_policy to string and dictionary type (#7004) @isVoid
Add segmented_gather(list_column, gather_list) (#7003) @karthikeyann
Add method field to fillna for fixed width columns (#6998) @isVoid
Manual merge of branch 0.17 into branch 0.18 (#6995) @shwina
Implement cudf::reduce for decimal32 and decimal64 (part 2) (#6980) @codereport
Add Ufunc alias look up for appropriate numpy ufunc dispatching (#6973) @VibhuJawa
Add pytest-xdist to dev environment.yml (#6958) @galipremsagar
Add Index.set_names api (#6929) @galipremsagar
Add replace_null API with replace_policy parameter, fixed_width column support (#6907) @isVoid
Share factorize implementation with Index and cudf module (#6885) @brandon-b-miller
Implement update() function (#6883) @skirui-source
Add groupby idxmin, idxmax aggregation (#6856) @karthikeyann
Implement cudf::reduce for decimal32 and decimal64 (part 1) (#6814) @codereport
Implement cudf.DateOffset for months (#6775) @brandon-b-miller
Add Python DecimalColumn (#6715) @shwina
Add dictionary support to libcudf groupby functions (#6585) @davidwendt

Improvements 🛠️

Update stale GHA with exemptions & new labels (#7395) @mike-wendt
Add GHA to mark issues/prs as stale/rotten (#7388) @Ethyling
Unpin from numpy < 1.20 (#7335) @shwina
Prepare Changelog for Automation (#7309) @galipremsagar
Prepare Changelog for Automation (#7272) @ajschmidt8
Add JNI support for converting Arrow buffers to CUDF ColumnVectors (#7222) @tgravescs
Add coverage for skiprows and num_rows in parquet reader fuzz testing (#7216) @galipremsagar
Define and implement more behavior for merging on categorical variables (#7209) @brandon-b-miller
Add CudfSeriesGroupBy to optimize dask_cudf groupby-mean (#7194) @rjzamora
Add dictionary column support to rolling_window (#7186) @davidwendt
Modify the semantics of end pointers in cuIO to match standard library (#7179) @vuule
Adding unit tests for fixed_point with extremely large scales (#7178) @codereport
Fast path single column sort (#7167) @davidwendt
Fix -Werror=sign-compare errors in device code (#7164) @trxcllnt
Refactor cudf::string_view host and device code (#7159) @davidwendt
Enable logic for GPU auto-detection in cudfjni (#7155) @gerashegalov
Java bindings for Fixed-point type support for Parquet (#7153) @razajafri
Add Java interface for the new API 'explode' (#7151) @firestarman
Replace offsets with iterators in cuIO utilities and CSV parser (#7150) @vuule
Add gbenchmarks for reduction aggregations any() and all() (#7129) @davidwendt
Update JNI for contiguous_split packed results (#7127) @jlowe
Add JNI and Java bindings for list_contains (#7125) @kuhushukla
Add Java unit tests for window aggregate 'collect' (#7121) @firestarman
verify window operations on decimal with java tests (#7120) @sperlingxx
Adds in JNI support for creating an list column from existing columns (#7112) @revans2
Build libcudf with -Wall (#7105) @trxcllnt
Add column_device_view pointers to EncColumnDesc (#7097) @kaatish
Add pyorc to dev environment (#7085) @galipremsagar
JNI support for creating struct column from existing columns and fixed bug in struct with no children (#7084) @revans2
Fastpath single strings column in cudf::sort (#7075) @davidwendt
Upgrade nvcomp to 1.2.1 (#7069) @rongou
Refactor ORC ProtobufReader to make it more extendable (#7055) @vuule
Add Java tests for decimal casts (#7051) @sperlingxx
Auto-label PRs based on their content (#7044) @jolorunyomi
Create sort gbenchmark for strings column (#7040) @davidwendt
Refactor io memory fetches to use hostdevice_vector methods (#7035) @ChrisJar
Spark Murmur3 hash functionality (#7024) @rwlee
Fix libcudf strings logic where size_type is used to access INT32 column data (#7020) @davidwendt
Adding decimal writing support to parquet (#7017) @hyperbolic2346
Add compression="infer" as default for dask_cudf.read_csv (#7013) @rjzamora
Correct ORC docstring; other minor cuIO improvements (#7012) @vuule
Reduce number of hostdevice_vector allocations in parquet reader (#7005) @devavret
Check output size overflow on strings gather (#6997) @davidwendt
Improve representation of MultiIndex (#6992) @galipremsagar
Disable some pragma unroll statements in thrust sort.h (#6982) @davidwendt
Minor cudf::round internal refactoring (#6976) @codereport
Add Java bindings for URL conversion (#6972) @jlowe
Enable strict_decimal_types in parquet reading (#6969) @sperlingxx
Add in basic support to JNI for logical_cast (#6954) @revans2
Remove duplicate file array_tests.cpp (#6953) @karthikeyann
Add null mask fixed_point_column_wrapper constructors (#6951) @codereport
Update Java bindings version to 0.18-SNAPSHOT (#6949) @jlowe
Use simplified rmm::exec_policy (#6939) @harrism
Add null count test for apply_boolean_mask (#6903) @harrism
Implement DataFrame.quantile for datetime and timedelta data types (#6902) @ChrisJar
Remove **kwargs from string/categorical methods (#6750) @shwina
Refactor rolling.cu to reduce compile time (#6512) @mythrocks
Add static type checking via Mypy (#6381) @shwina
Update to official libcu++ on Github (#6275) @trxcllnt

cuDF 0.17.0 (10 Dec 2020)

New Features

PR #6116 Add filters parameter to Python read_orc function or filtering
PR #6848 Added Java bindings for writing parquet files with INT96 timestamps
PR #6460 Add is_timestamp format check API
PR #6647 Implement cudf::round floating point and integer types (HALF_EVEN)
PR #6562 Implement cudf::round floating point and integer types (HALF_UP)
PR #6685 Implement cudf::round decimal32 & decimal64 (HALF_UP and HALF_EVEN)
PR #6711 Implement cudf::cast for decimal32/64 to/from integer and floating point
PR #6777 Implement cudf::unary_operation for decimal32 & decimal64
PR #6729 Implement cudf::cast for decimal32/64 to/from different type_id
PR #6792 Implement cudf::clamp for decimal32 and decimal64
PR #6845 Implement cudf::copy_if_else for decimal32 and decimal64
PR #6805 Implement cudf::detail::copy_if for decimal32 and decimal64
PR #6843 Implement cudf::copy_range for decimal32 and decimal64
PR #6528 Enable fixed_point binary operations
PR #6460 Add is_timestamp format check API
PR #6568 Add function to create hashed vocabulary file from raw vocabulary
PR #6142 Add Python read_orc_statistics function for reading file- and stripe-level statistics
PR #6581 Add JNI API to check if PTDS is enabled
PR #6615 Add support for list and struct types to contiguous_split
PR #6625 Add INT96 timestamp writing option to parquet writer
PR #6592 Add cudf.to_numeric function
PR #6598 Add strings::contains API with target column parameter
PR #6638 Add support for pipe API
PR #6737 New build process (Project Flash)
PR #6652 Add support for struct columns in concatenate
PR #6675 Add DecimalDtype to cuDF
PR #6739 Add Java bindings for is_timestamp
PR #6808 Add support for reading decimal32 and decimal64 from parquet
PR #6781 Add serial murmur3 hashing
PR #6811 First class support for unbounded window function bounds
PR #6768 Add support for scatter() on list columns
PR #6796 Add create_metadata_file in dask_cudf
PR #6765 Cupy fallback for array_function and array_ufunc for cudf.Series
PR #6817 Add support for scatter() on lists-of-struct columns
PR #6805 Implement cudf::detail::copy_if for decimal32 and decimal64
PR #6483 Add agg function to aggregate dataframe using one or more operations
PR #6726 Support selecting different hash functions in hash_partition
PR #6619 Improve Dockerfile
PR #6831 Added parquet chunked writing ability for list columns

Improvements

PR #6430 Add struct type support to to_arrow and from_arrow
PR #6384 Add CSV fuzz tests with varying function parameters
PR #6385 Add JSON fuzz tests with varying function parameters
PR #6398 Remove function constructor macros in parquet reader
PR #6432 Add dictionary support to cudf::upper_bound and cudf::lower_bound
PR #6461 Replace index type-dispatch call with indexalator in cudf::scatter
PR #6415 Support datetime64 in row-wise op
PR #6457 Replace index type-dispatch call with indexalator in cudf::gather
PR #6413 Replace Python NVTX package with conda-forge source
PR #6442 Remove deprecated DataFrame.from_gpu_matrix, DataFrame.to_gpu_matrix, DataFrame.add_column APIs and method parameters
PR #6502 Add dictionary support to cudf::merge
PR #6471 Replace index type-dispatch call with indexalator in cudf::strings::substring
PR #6485 Add File IO to cuIO benchmarks
PR #6504 Update Java bindings version to 0.17-SNAPSHOT
PR #6875 Remove bounds check for cudf::gather
PR #6489 Add AVRO fuzz tests with varying function parameters
PR #6540 Add dictionary support to cudf::unary_operation
PR #6537 Refactor ORC timezone
PR #6527 Refactor DeviceColumnViewAccess to avoid JNI returning an array
PR #6690 Explicitly set legacy or per-thread default stream in JNI
PR #6545 Pin cmake policies to cmake 3.17 version
PR #6556 Add dictionary support to cudf::inner_join, cudf::left_join and cudf::full_join
PR #6557 Support nullable timestamp columns in time range window functions
PR #6566 Remove reinterpret_cast conversions between pointer types in ORC
PR #6544 Remove fixed_point precise round
PR #6552 Use assert_exceptions_equal to assert exceptions in pytests
PR #6555 Adapt JNI build to libcudf composition of multiple libraries
PR #6559 Refactoring cooperative loading with single thread loading.
PR #6564 Load JNI library dependencies with a thread pool
PR #6571 Add ORC fuzz tests with varying function parameters
PR #6578 Add in java column to row conversion
PR #6573 Create cudf::detail::byte_cast for cudf::byte_cast
PR #6597 Use thread-local to track CUDA device in JNI
PR #6599 Replace size()==0 with empty(), is_empty()
PR #6514 Initial work for decimal type in Java/JNI
PR #6605 Reduce HtoD copies in cudf::concatenate of string columns
PR #6608 Improve subword tokenizer docs
PR #6610 Add ability to set scalar values in cudf.DataFrame
PR #6612 Update JNI to new RMM cuda_stream_view API
PR #6646 Replace cudaStream_t with rmm::cuda_stream_view (part 1)
PR #6648 Replace cudaStream_t with rmm::cuda_stream_view (part 2)
PR #6744 Replace cudaStream_t with rmm::cuda_stream_view (part 3)
PR #6579 Update scatter APIs to use reference wrapper / const scalar
PR #6614 Add support for conversion to Pandas nullable dtypes and fix related issue in cudf.to_json
PR #6622 Update to_pandas api docs
PR #6623 Add operator overloading to column and clean up error messages
PR #6644 Cover different CSV reader/writer options in benchmarks
PR #6741 Cover different ORC and Parquet reader/writer options in benchmarks
PR #6651 Add cudf::dictionary::make_dictionary_pair_iterator
PR #6666 Add dictionary support to cudf::reduce
PR #6635 Add cudf::test::dictionary_column_wrapper class
PR #6702 Fix orc read corruption on boolean column
PR #6676 Add dictionary support to cudf::quantile
PR #6673 Parameterize avro and json benchmark
PR #6609 Support fixed-point decimal for HostColumnVector
PR #6703 Add list column statistics writing to Parquet writer
PR #6662 RangeIndex supports step parameter
PR #6712 Remove reinterpret_cast conversions between pointer types in Avro
PR #6705 Add nested type support to Java table serialization
PR #6709 Raise informative error while converting a pandas dataframe with duplicate columns
PR #6727 Remove 2nd type-dispatcher call from cudf::reduce
PR #6749 Update nested JNI builder so we can do it incrementally
PR #6748 Add Java API to concatenate serialized tables to ContiguousTable
PR #6764 Add dictionary support to cudf::minmax
PR #6734 Binary operations support for decimal type in cudf Java
PR #6761 Add Java/JNI bindings for round
PR #6776 Use void return type for kernel wrapper functions instead of returning cudaError_t
PR #6786 Add nested type support to ColumnVector#getDeviceMemorySize
PR #6780 Move cudf::cast tests to separate test file
PR #6809 size_type overflow checking when concatenating columns
PR #6789 Rename unary_op to unary_operator
PR #6770 Support building decimal columns with Table.TestBuilder
PR #6815 Add wildcard path support to read_parquet
PR #6800 Push DeviceScalar to cython-only
PR #6822 Split out cudf::distinct_count from drop_duplicates.cu
PR #6813 Enable expand=False in .str.split and .str.rsplit
PR #6829 Enable workaround to write categorical columns in csv
PR #6819 Use CMake 3.19 for RMM when building cuDF jar
PR #6833 Use settings.xml if existing for internal build
PR #6839 Handle index when dispatching array_function and array_ufunc to cupy for cudf.Series
PR #6835 Move template param to member var to improve compile of hash/groupby.cu
PR #6837 Avoid gather when copying strings view from start of strings column
PR #6859 Move align_ptr_for_type() from cuda.cuh to alignment.hpp
PR #6807 Refactor std::array usage in row group index writing in ORC
PR #6914 Enable groupby list aggregation for strings
PR #6908 Parquet option for strictly decimal reading

Bug Fixes

PR #6446 Fix integer parsing in CSV and JSON for values outside of int64 range
PR #6506 Fix DateTime type value truncation while writing to csv
PR #6509 Disable JITIFY log printing
PR #6517 Handle index equality in Series and DataFrame equality checks
PR #6519 Fix end-of-string marking boundary condition in subword-tokenizer
PR #6543 Handle np.nan values in isna/isnull/notna/notnull
PR #6549 Fix memory_usage calls for list columns
PR #6575 Fix JNI RMM initialize with no pool allocator limit
PR #6636 Fix orc boolean column corruption issue
PR #6582 Add missing device_scalar stream parameters
PR #6596 Fix memory usage calculation
PR #6595 Fix JNI build, broken by to_arrow() signature change
PR #6601 Fix timezone offset when reading ORC files
PR #6603 Use correct stream in hash_join.
PR #6616 Block fixed_point cudf::concatenate with different scales
PR #6607 Fix integer overflow in ORC encoder
PR #6617 Fix JNI native dependency load order
PR #6621 Fix subword tokenizer metadata for token count equal to max_sequence_length
PR #6629 Fix JNI CMake
PR #6633 Fix Java HostColumnVector unnecessarily loading native dependencies
PR #6643 Fix csv writer handling embedded comma delimiter
PR #6640 Add error message for unsupported axis parameter in DataFrame APIs
PR #6686 Fix output size for orc read for skip_rows option
PR #6710 Fix an out-of-bounds indexing error in gather() for lists
PR #6670 Fix a bug where PTX parser fails to correctly parse a python lambda generated UDF
PR #6687 Fix issue where index name of caller object is being modified in csv writer
PR #6735 Fix hash join where row hash values would end up equal to the reserved empty key value
PR #6696 Fix release_assert.
PR #6692 Fix handling of empty column name in csv writer
PR #6693 Fix issue related to na_values input in read_csv
PR #6701 Fix issue when numpy.str_ is given as input to string parameters in io APIs
PR #6704 Fix leak warnings in JNI unit tests
PR #6713 Fix missing call to cudaStreamSynchronize in get_value
PR #6708 Apply na_rep to column names in csv writer
PR #6720 Fix implementation of dtype parameter in cudf.read_csv
PR #6721 Add missing serialization methods for ListColumn
PR #6722 Fix index=False bug in dask_cudf.read_parquet
PR #6766 Fix race conditions in parquet
PR #6728 Fix cudf python docs and associated build warnings
PR #6732 Fix cuDF benchmarks build with static Arrow lib and fix rapids-compose cuDF JNI build
PR #6742 Fix concat bug in dask_cudf Series/Index creation
PR #6632 Fix DataFrame initialization from list of dicts
PR #6767 Fix sort order of parameters in test_scalar_invalid_implicit_conversion pytest
PR #6771 Fix index handling in parquet reader and writer
PR #6787 Update java reduction APIs to reflect C++ changes
PR #6790 Fix result representation in groupby.apply
PR #6794 Fix AVRO reader issues with empty input
PR #6798 Fix read_avro docs
PR #6824 Fix JNI build
PR #6826 Fix resource management in Java ColumnBuilder
PR #6830 Fix categorical scalar insertion
PR #6844 Fix uint32_t undefined errors
PR #6854 Fix the parameter order of writeParquetBufferBegin
PR #6855 Fix .str.replace_with_backrefs docs examples
PR #6853 Fix contiguous split of null string columns
PR #6860 Move codecov upload to build script
PR #6861 Fix compile error in type_dispatch_benchmark.cu
PR #6864 Handle contiguous_split corner case for nested string columns with no children
PR #6869 Avoid dependency resolution failure in latest version of pip by explicitly specifying versions for dask and distributed
PR #6806 Force install of local conda artifacts
PR #6887 Fix typo and 0-d numpy array handling in binary operation
PR #6898 Fix missing clone overrides on derived aggregations
PR #6899 Update JNI to new gather boundary check API

cuDF 0.16.0 (21 Oct 2020)

New Features

PR #5779 Add DataFrame.pivot() and DataFrame.unstack()
PR #5975 Add strings filter_characters API
PR #5843 Add filters parameter to Python read_parquet function for filtering row groups
PR #5974 Use libcudf instead of cupy for arange or column creation from a scalar.
PR #5494 Add Abstract Syntax Tree (AST) evaluator.
PR #6076 Add durations type support for csv writer, reader
PR #5874 Add COLLECT groupby aggregation
PR #6330 Add ability to query if PTDS is enabled
PR #6119 Add support for dayofweek property in DateTimeIndex and DatetimeProperties
PR #6171 Java and Jni support for Struct columns
PR #6125 Add support for Series.mode and DataFrame.mode
PR #6271 Add support to deep-copy struct columns from struct column-view
PR #6262 Add nth_element series aggregation with null handling
PR #6316 Add StructColumn to Python API
PR #6247 Add minmax reduction function
PR #6232 Json and Avro benchmarking in python
PR #6139 Add column conversion to big endian byte list.
PR #6220 Add list_topics() to supply list of underlying Kafka connection topics
PR #6254 Add cudf::make_dictionary_from_scalar factory function
PR #6262 Add nth_element series aggregation with null handling
PR #6277 Add support for LEAD/LAG window functions for fixed-width types
PR #6318 Add support for reading Struct and map types from Parquet files
PR #6315 Native code for string-map lookups, for cudf-java
PR #6302 Add custom dataframe accessors
PR #6301 Add JNI bindings to nvcomp
PR #6328 Java and JNI bindings for getMapValue/map_lookup
PR #6371 Use ColumnViewAccess on Host side
PR #6392 add hash based groupby mean aggregation
PR #6511 Add LogicalType to Parquet reader
PR #6297 cuDF Python Scalars
PR #6723 Support creating decimal vectors from scalar

Improvements

PR #6393 Fix some misspelled words
PR #6292 Remove individual size tracking from JNI tracking resource adaptor
PR #5946 Add cython and python support for libcudf to_arrow and from_arrow
PR #5919 Remove max_strings and max_chars from nvtext::subword_tokenize
PR #5956 Add/Update tests for cuStreamz
PR #5953 Use stable sort when doing a sort groupby
PR #5973 Link to the Code of Conduct in CONTRIBUTING.md
PR #6354 Perform shallow clone of external projects
PR #6388 Add documentation for building libboost_filesystem.a from source
PR #5917 Just use None for strides in Buffer
PR #6015 Upgrade CUB/Thrust to the latest commit
PR #5971 Add cuStreamz README for basic installation and use
PR #6024 Expose selecting multiple ORC stripes to read from Python
PR #6155 Use the CUB submodule in Thrust instead of fetching CUB separately
PR #6321 Add option in JNI code to use arena_memory_resource
PR #6002 Add Java bindings for md5
PR #6311 Switch Thrust to use the NVIDIA/thrust repo
PR #6060 Add support for all types in Series.describe and DataFrame.describe
PR #6051 Add builder API for cuIO parquet_writer_options and parquet_reader_options
PR #6067 Added compute codes for aarch64 devices
PR #5861 fixed_point Column Optimization (store scale in data_type)
PR #6083 Small cleanup
PR #6355 Make sure PTDS mode is compatible between libcudf and JNI
PR #6120 Consolidate functionality in NestedHostColumnVector and HostColumnVector
PR #6092 Add name and dtype field to Index.copy
PR #5984 Support gather() on CUDF struct columns
PR #6103 Small refactor of print_differences
PR #6124 Fix gcc-9 compilation errors on tests
PR #6122 Add builder API for cuIO csv_writer_options and csv_reader_options
PR #6141 Fix typo in custreamz README that was a result of recent changes
PR #6162 Reduce output parameters in cuio csv and json reader internals
PR #6146 Added element/validity pair constructors for fixed_width and string wrappers
PR #6143 General improvements for java arrow IPC.
PR #6138 Add builder API for cuIO orc_writer_options and orc_reader_options
PR #6152 Change dictionary indices to uint32
PR #6099 Add fluent builder apis to json_reader_options and avro_reader_options
PR #6163 Use Column.full instead of scalar_broadcast_to or cupy.zeros
PR #6176 Fix cmake warnings for GoogleTest, GoogleBenchmark, and Arrow external projects
PR #6149 Update to Arrow v1.0.1
PR #6421 Use pandas.testing in cudf
PR #6357 Use pandas.testing in dask-cudf
PR #6201 Expose libcudf test utilities headers for external project use.
PR #6174 Data profile support in random data generator; Expand cuIO benchmarks
PR #6189 Avoid deprecated pyarrow.compat for parquet
PR #6184 Add cuda 11 dev environment.yml
PR #6186 Update JNI to look for cub in new location
PR #6194 Remove unnecessary memory-resource parameter in cudf::contains API
PR #6195 Update JNI to use parquet options builder
PR #6190 Avoid reading full csv files for metadata in dask_cudf
PR #6197 Remove librmm dependency for libcudf
PR #6205 Add dictionary support to cudf::contains
PR #6213 Reduce subscript usage in cuio in favor of pointer dereferencing
PR #6230 Support any unsigned int type for dictionary indices
PR #6202 Add additional parameter support to DataFrame.drop
PR #6214 Small clean up to use more algorithms
PR #6209 Remove CXX11 ABI handling from CMake
PR #6223 Remove CXX11 ABI flag from JNI build
PR #6114 Implement Fuzz tests for cuIO
PR #6231 Adds inplace, append, verify_integrity fields to DataFrame.set_index
PR #6215 Add cmake command-line setting for spdlog logging level
PR #6242 Added cudf::detail::host_span and device_span
PR #6240 Don't shallow copy index in as_index() unless necessary
PR #6204 Add dockerfile and script to build cuDF jar
PR #6248 Optimize groupby-agg in dask_cudf
PR #6243 Move equals() logic to Frame
PR #6245 Split up replace.cu into multiple source files
PR #6218 increase visibility/consistency for cuio reader writer private member variable names.
PR #6268 Add file tags to libcudf doxygen
PR #6265 Update JNI to use ORC options builder
PR #6273 Update JNI to use ORC options builder
PR #6293 Replace shuffle warp reduce with cub calls
PR #6287 Make java aggregate API follow C++ API
PR #6303 Use cudf test dtypes so timedelta tests are deterministic
PR #6329 Update and clean-up gpuCI scripts
PR #6299 Add lead and lag to java
PR #6327 Add dictionary specialization to cudf::replace_nulls
PR #6306 Remove cpw macros from page encode kernels
PR #6375 Parallelize Cython compilation in addition to Cythonization
PR #6303 Use cudf test dtypes so timedelta tests are deterministic
PR #6326 Simplify interal csv/json kernel parameters
PR #6308 Add dictionary support to cudf::scatter with scalar
PR #6367 Add JNI bindings for byte casting
PR #6312 Conda recipe dependency cleanup
PR #6346 Remove macros from CompactProtocolWriter
PR #6347 Add dictionary support to cudf::copy_range
PR #6352 Add specific Topic support for Kafka "list_topics()" metadata requests
PR #6332 Add support to return csv as string when path=None in to_csv
PR #6358 Add Parquet fuzz tests with varying function parameters
PR #6369 Add dictionary support to cudf::find_and_replace
PR #6373 Add dictionary support to cudf::clamp
PR #6377 Update ci/local/README.md
PR #6383 Removed move.pxd, use standard library move
PR #6400 Removed unused variables
PR #6409 Allow CuPy 8.x
PR #6407 Add RMM_LOGGING_LEVEL flag to Java docker build
PR #6425 Factor out csv parse_options creation to pure function
PR #6438 Fetch nvcomp v1.1.0 for JNI build
PR #6459 Add map method to series
PR #6379 Add list hashing functionality to MD5
PR #6498 Add helper method to ColumnBuilder with some nits
PR #6336 Add join functionality in cudf concat
PR #6653 Replaced SHFL_XOR calls with cub::WarpReduce
PR #6751 Rework ColumnViewAccess and its usage
PR #6698 Remove macros from ORC reader and writer
PR #6782 Replace cuio macros with constexpr and inline functions

Bug Fixes

PR #6073 Fix issue related to .loc incase of DatetimeIndex
PR #6081 Fix issue where fsspec thinks it has a protocol string
PR #6100 Fix issue in Series.factorize to correctly pick na_sentinel value
PR #6106 Fix datetime limit in csv due to 32-bit arithmetic
PR #6113 Fix to_timestamp to initialize default year to 1970
PR #6110 Handle format for other input types in to_datetime
PR #6118 Fix Java build for ORC read args change and update package version
PR #6121 Replace calls to get_default_resource with get_current_device_resource
PR #6128 Add support for numpy RandomState handling in sample
PR #6134 Fix CUDA C/C++ debug builds
PR #6137 Fix issue where np.nan is being return instead of NAT for datetime/duration types
PR #6298 Fix gcc-9 compilation error in dictionary/remove_keys.cu
PR #6172 Fix slice issue with empty column
PR #6342 Fix array out-of-bound errors in Orc writer
PR #6154 Warnings on row-wise op only when non-numeric columns are found.
PR #6150 Fix issue related to inferring datetime64 format with UTC timezone in string data
PR #6179 make_elements copies to iterator without adjusting size
PR #6387 Remove extra std::move call in java/src/main/native/src/map_lookup.cu
PR #6182 Fix cmake build of arrow
PR #6288 Fix gcc-9 compilation error with ColumnVectorJni.cpp
PR #6173 Fix normalize_characters offset logic on sliced strings column
PR #6159 Fix issue related to empty Dataframe with columns input to DataFrame.appened
PR #6199 Fix index preservation for dask_cudf parquet
PR #6207 Remove shared libs from Java sources jar
PR #6217 Fixed missing bounds checking when storing validity in parquet reader
PR #6212 Update codeowners file
PR #6389 Fix RMM logging level so that it can be turned off from the command line
PR #6157 Fix issue related to Series.concat to concat a non-empty and empty series.
PR #6226 Add in some JNI checks for null handles
PR #6183 Fix issues related to Series.acos for consistent output regardless of dtype
PR #6234 Add float infinity parsing in csv reader
PR #6251 Replace remaining calls to RMM get_default_resource
PR #6257 Support truncated fractions in cudf::strings::to_timestamp
PR #6259 Fix compilation error with GCC 8
PR #6258 Pin libcudf conda recipe to boost 1.72.0
PR #6264 Remove include statement for missing rmm/mr/device/default_memory_resource.hpp file
PR #6296 Handle double quote and escape character in json
PR #6294 Fix read parquet key error when reading empty pandas DataFrame with cudf
PR #6285 Removed unsafe reinterpret_cast and implicit pointer-to-bool casts
PR #6281 Fix unreachable code warning in datetime.cuh
PR #6286 Fix read_csv int32 overflow
PR #6466 Fix ORC reader issue with decimal type
PR #6310 Replace a misspelled reference to master branch with main branch in a comment in changelog.sh
PR #6289 Revert #6206
PR #6291 Fix issue related to row-wise operations in cudf.DataFrame
PR #6304 Fix span_tests.cu includes
PR #6331 Avoids materializing RangeIndex during frame concatnation (when not needed)
PR #6278 Add filter tests for struct columns
PR #6344 Fix rolling-window count for null input
PR #6353 Rename skip_rows parameter to skiprows in read_parquet, read_avro and read_orc
PR #6361 Detect overflow in hash join
PR #6386 Removed c-style pointer casts and redundant reinterpret_casts in cudf::io
PR #6397 Fix build.sh when PARALLEL_LEVEL environment variable isn't set
PR #6366 Fix Warp Reduce calls in cuio statistics calculation to account for NaNs
PR #6345 Fix ambiguous constructor compile error with devtoolset
PR #6335 Fix conda commands for outdated python version
PR #6372 Fix issue related to reading a nullable boolean column in read_parquet when engine=pyarrow
PR #6378 Fix index handling in fillna and incorrect pytests
PR #6380 Avoid problematic column-index check in dask_cudf.read_parquet test
PR #6403 Fix error handling in notebook tests
PR #6408 Avoid empty offset list in hash_partition output
PR #6402 Update JNI build to pull fixed nvcomp commit
PR #6410 Fix uses of dangerous default values in Python code
PR #6424 Check for null data in close for ColumnBuilder
PR #6426 Fix RuntimeError when np.bool_ is passed as header in to_csv
PR #6443 Make java apis getList and getStruct public
PR #6445 Add dlpack to run section of libcudf conda recipe to fix downstream build issues
PR #6450 Make java Column Builder row agnostic
PR #6309 Make all CI .sh scripts have a consistent set of permissions
PR #6491 Remove repo URL from Java build-info
PR #6462 Bug fixes for ColumnBuilder
PR #6497 Fixes a data corruption issue reading list columns from Parquet files with multiple row groups.

cuDF 0.15.0 (26 Aug 2020)

New Features

PR #5292 Add unsigned int type columns to libcudf
PR #5287 Add index.join support
PR #5222 Adding clip feature support to DataFrame and Series
PR #5318 Support/leverage DataFrame.shuffle in dask_cudf
PR #4546 Support pandas 1.0+
PR #5331 Add cudf::drop_nans
PR #5327 Add cudf::cross_join feature
PR #5204 Concatenate strings columns using row separator as strings column
PR #5342 Add support for StringMethods.__getitem__
PR #5358 Add zero-copy column_view cast for compatible types
PR #3504 Add External Kafka Datasource
PR #5356 Use size_type instead of scalar in cudf::repeat.
PR #5397 Add internal implementation of nested loop equijoins.
PR #5303 Add slice_strings functionality using delimiter string
PR #5394 Enable cast and binops with duration types (builds on PR 5359)
PR #5301 Add Java bindings for zfill
PR #5411 Enable metadata collection for chunked parquet writer
PR #5359 Add duration types
PR #5364 Validate array interface during buffer construction
PR #5418 Add support for DataFrame.info
PR #5425 Add Python Groupby.rolling()
PR #5434 Add nvtext function generate_character_grams
PR #5442 Add support for cudf.isclose
PR #5444 Remove usage of deprecated RMM APIs and headers.
PR #5463 Add .str.byte_count python api and cython(bindings)
PR #5488 Add plumbings for .str.replace_tokens
PR #5502 Add Unsigned int types support in dlpack
PR #5497 Add .str.isinteger & .str.isfloat
PR #5511 Port of clx subword tokenizer to cudf
PR #5528 Add unsigned int reading and writing support to parquet
PR #5510 Add support for cudf.Index to create Indexes
PR #5618 Add Kafka as a cudf datasource
PR #5668 Adding support for cudf.testing
PR #5460 Add support to write to remote filesystems
PR #5454 Add support for DataFrame.append, Index.append, Index.difference and Index.empty
PR #5536 Parquet reader - add support for multiple sources
PR #5654 Adding support for cudf.DataFrame.sample and cudf.Series.sample
PR #5607 Add Java bindings for duration types
PR #5612 Add is_hex strings API
PR #5625 String conversion to and from duration types
PR #5659 Added support for rapids-compose for Java bindings and other enhancements
PR #5637 Parameterize Null comparator behaviour in Joins
PR #5623 Add is_ipv4 strings API
PR #5723 Parquet reader - add support for nested LIST columns
PR #5669 Add support for reading JSON files with missing or out-of-order fields
PR #5674 Support JIT backend on PowerPC64
PR #5629 Add ListColumn and ListDtype
PR #5658 Add filter_tokens nvtext API
PR #5666 Add filter_characters_of_type strings API
PR #5778 Add support for cudf::table to arrow::Table and arrow::Table to cudf::table
PR #5673 Always build and test with per-thread default stream enabled in the GPU CI build
PR #5438 Add MD5 hash support
PR #5704 Initial fixed_point Column Support
PR #5716 Add double_type_dispatcher to libcudf
PR #5739 Add nvtext::detokenize API
PR #5645 Enforce pd.NA and Pandas nullable dtype parity
PR #5729 Create nvtext normalize_characters API from the subword_tokenize internal function
PR #5572 Add cudf::encode API.
PR #5767 Add nvtext::porter_stemmer_measure and nvtext::is_letter APIs
PR #5753 Add cudf::lists::extract_list_element API
PR #5568 Add support for Series.keys() and DataFrame.keys()
PR #5782 Add Kafka support to custreamz
PR #5642 Add GroupBy.groups()
PR #5811 Add nvtext::edit_distance API
PR #5789 Add groupby support for duration types
PR #5810 Make Cython subdirs packages and simplify package_data
PR #6005 Add support for Ampere
PR #5807 Initial support for struct columns
PR #5817 Enable more fixed_point unit tests by introducing "scale-less" constructor
PR #5822 Add cudf_kafka to custreamz run time conda dependency and fix bash syntax issue
PR #5903 Add duration support for Parquet reader, writer
PR #5845 Add support for mask_to_bools
PR #5851 Add support for Index.sort_values
PR #5904 Add slice/split support for LIST columns
PR #5857 Add dtypes information page in python docs
PR #5859 Add conversion form fixed_point to bool
PR #5781 Add duration types support in cudf(python/cython)
PR #5815 LIST Support for ColumnVector
PR #5931 Support for add_calendrical_months API
PR #5992 Add support for .dt.strftime
PR #6075 Parquet writer - add support for nested LIST columns

Improvements

PR #5492 compile_udf: compile straight to PTX instead of using @jit
PR #5605 Automatically flush RMM allocate/free logs in JNI
PR #5632 Switch JNI code to use pool_memory_resource instead of CNMeM
PR #5486 Link Boost libraries statically in the Java build
PR #5479 Link Arrow libraries statically
PR #5414 Use new release of Thrust/CUB in the JNI build
PR #5403 Update required CMake version to 3.14 in contribution guide
PR #5245 Add column reduction benchmark
PR #5315 Use CMake FetchContent to obtain cub and thrust
PR #5398 Use CMake FetchContent to obtain jitify and libcudacxx
PR #5268 Rely on NumPy arrays for out-of-band pickling
PR #5288 Drop auto_pickle decorator #5288
PR #5231 Type Buffer as uint8
PR #5305 Add support for numpy/cupy array in DataFrame construction
PR #5308 Coerce frames to Buffers in deserialization
PR #5309 Handle host frames in serialization
PR #5312 Test serializing Series after slice
PR #5248 Support interleave_columns for string types
PR #5332 Remove outdated dask-xgboost docs
PR #5349 Improve libcudf documentation CSS style
PR #5317 Optimize fixed_point rounding shift for integers
PR #5386 Remove cub from include_dirs in setup.py
PR #5373 Remove legacy nvstrings/nvcategory/nvtext
PR #5362 Remove dependency on rmm._DevicePointer
PR #5302 Add missing comparison operators to fixed_point type
PR #5824 Mark host frames as not needing to be writeable
PR #5354 Split Dask deserialization methods by dask/cuda
PR #5363 Handle 0-dim inputs while broadcasting to a column
PR #5396 Remove legacy tests env variable from build.sh
PR #5374 Port nvtext character_tokenize API to libcudf
PR #5389 Expose typed accessors for Java HostMemoryBuffer
PR #5379 Avoid chaining Buffers
PR #5387 Port nvtext replace_tokens API to libcudf
PR #5381 Change numpy usages to cupy in 10min.ipynb
PR #5408 Update pyrrow and arrow-cpp to 0.17.1
PR #5366 Add benchmarks for cuIO writers
PR #5913 Call cudaMemcpyAsync/cudaMemsetAsync in JNI
PR #5405 Add Error message to StringColumn.unary_operator
PR #5424 Add python plumbing for .str.character_tokenize
PR #5420 Aligning signature of Series.value_counts to Pandas
PR #5535 Update document for XGBoost usage with dask-cuda
PR #5431 Adding support for unsigned int
PR #5426 Refactor strings code to minimize calls to regex
PR #5433 Add support for column inputs in strings::starts_with and strings::ends_with
PR #5427 Add Java bindings for unsigned data types
PR #5429 Improve text wrapping in libcudf documentation
PR #5443 Remove unused is_simple trait
PR #5441 Update Java HostMemoryBuffer to only load native libs when necessary
PR #5452 Add support for strings conversion using negative timestamps
PR #5437 Improve libcudf join documentation
PR #5458 Install meta packages for dependencies
PR #5467 Move doc customization scripts to Jenkins
PR #5468 Add cudf::unique_count(table_view)
PR #5482 Use rmm::device_uvector in place of rmm::device_vector in copy_if
PR #5483 Add NVTX range calls to dictionary APIs
PR #5477 Add is_index_type trait
PR #5487 Use sorted lists instead of sets for pytest parameterization
PR #5491 allow build libcudf in custom dir
PR #5501 Adding only unsigned types support for categorical column codes
PR #5570 Add Index APIs such as Int64Index, UInt64Index and others
PR #5503 Change unique_count to distinct_count
PR #5514 convert_datetime.cu Small Cleanup
PR #5496 Rename .cu tests (zero cuda kernels) to .cpp files
PR #5518 split iterator and gather tests to speedup build tests
PR #5526 Change type_id to enum class
PR #5559 Java APIs for missing date/time operators
PR #5582 Add support for axis and other parameters to DataFrame.sort_index and fix other bunch of issues.
PR #5562 Add missing join type for java
PR #5584 Refactor CompactProtocolReader::InitSchema
PR #5591 Add __arrow_array__ protocol and raise a descriptive error message
PR #5635 Ad cuIO reader benchmarks for CSV, ORC and Parquet
PR #5601 Instantiate Table instances in Frame._concat to avoid DF.insert() overhead
PR #5602 Add support for concatenation of Series & DataFrame in cudf.concat when axis=0
PR #5603 Refactor JIT parser.cpp
PR #5643 Update isort to 5.0.4
PR #5648 OO interface for hash join with explicit build/probe semantic
PR #5662 Make Java ColumnVector(long nativePointer) constructor public
PR #5681 Pin black, flake8 and isort
PR #5679 Use pickle5 to test older Python versions
PR #5684 Use pickle5 in Serializable (when available)
PR #5419 Support rolling, groupby_rolling for durations
PR #5687 Change strings::split_record to return a lists column
PR #5708 Add support for dummy_na in get_dummies
PR #5709 Update java build to help cu-spacial with java bindings
PR #5713 Remove old NVTX utilities
PR #5726 Replace use of assert_frame_equal in tests with assert_eq
PR #5720 Replace owning raw pointers with std::unique_ptr
PR #5702 Add inherited methods to python docs and other docs fixes
PR #5733 Add support for size property in DataFrame/ Series / Index/ MultiIndex
PR #5735 Force timestamp creation only with duration
PR #5743 Reduce number of test cases in concatenate benchmark
PR #5748 Disable tolist API in Series & Index and add tolist dispatch in dask-cudf
PR #5744 Reduce number of test cases in reduction benchmark
PR #5756 Switch JNI code to use the RMM owning wrapper
PR #5725 Integrate Gbenchmarks into CI
PR #5752 Add cuDF internals documentation (ColumnAccessor)
PR #5759 Fix documentation describing JIT cache default location
PR #5780 Add Java bindings for pad
PR #5775 Update dask_cudf.read_parquet to align with upstream improvements
PR #5785 Enable computing views of ListColumns
PR #5791 Get nullable_pd_dtype from kwargs if provided in assert_eq
PR #5786 JNI Header Cleanup for cuSpatial
PR #5800 Expose arrow datasource instead of directly taking a RandomAccessFile
PR #5795 Clarify documentation on Boost dependency
PR #5803 Add in Java support for the repeat command
PR #5806 Expose the error message from native exception when throwing an OOM exception
PR #5825 Enable ORC statistics generation by default
PR #5771 Enable gather/slicing/joins with ListColumns in Python
PR #5834 Add support for dictionary column in concatenate
PR #5832 Make dictionary_wrapper constructor from a value explicit
PR #5833 Pin dask and distributed version to 2.22.0
PR #5856 Bump Pandas support to >=1.0,<1.2
PR #5855 Java interface to limit RMM maximum pool size
PR #5853 Disable fixed_point for use in copy_if
PR #5854 Raise informative error in DataFrame.iterrows and DataFrame.itertuples
PR #5864 Replace cnmem with pool_memory_resource in test/benchmark fixtures
PR #5863 Explicitly require ucx-py on CI
PR #5879 Added support of sub-types and object wrappers in concat()
PR #5884 Use S3 bucket directly for benchmark plugni
PR #5881 Add in JVM extractListElement and stringSplitRecord
PR #5885 Add in java support for merge sort
PR #5894 Small code improvement / cleanup
PR #5899 Add in gather support for Java
PR #5906 Add macros for showing line of failures in unit tests
PR #5933 Add in APIs to read/write arrow IPC formatted data from java
PR #3918 Update cuDF internals doc
PR #5970 Map data to pandas through arrow, always
PR #6012 Remove cudf._cuda and replace usages with rmm._cuda
PR #6045 Parametrize parquet_reader_list tests
PR #6053 Import traits.hpp for cudftestutils consumers

Bug Fixes

PR #6034 Specify --basetemp for py.test run
PR #5793 Fix leak in mutable_table_device_view by deleting _descendant_storage in table_device_view_base::destroy
PR #5525 Make sure to allocate bitmasks of string columns only once
PR #5336 Initialize conversion tables on a per-context basis
PR #5283 Fix strings::ipv4_to_integers overflow to negative
PR #5269 Explicitly require NumPy
PR #5271 Fix issue when different dtype values are passed to .cat.add_categories
PR #5333 Fix DataFrame.loc issue with list like argument
PR #5299 Update package version for Java bindings
PR #5300 Add support to ignore None in cudf.concat input
PR #5334 Fix pickling sizeof test
PR #5337 Fix broken alias from DataFrame.{at,iat} to {loc, iloc}
PR #5347 Fix APPLY_BOOLEAN_MASK_BENCH segfault
PR #5368 Fix loc indexing issue with datetime type index
PR #5367 Fix API for cudf::repeat in cudf::cross_join
PR #5377 Handle array of cupy scalars in to_column
PR #5326 Fix DataFrame.__init__ for list of scalar inputs and related dask issue
PR #5383 Fix cython type_id enum mismatch
PR #5982 Fix gcc-9 compile errors under CUDA 11
PR #5382 Fix CategoricalDtype equality comparisons
PR #5989 Fix gcc-9 warnings on narrowing conversion
PR #5385 Fix index issues in DataFrame.from_gpu_matrix
PR #5390 Fix Java data type IDs and string interleave test
PR #5392 Fix documentation links
PR #5978 Fix option to turn off NVTX
PR #5410 Fix compile warning by disallowing bool column type for slice_strings
PR #5404 Fix issue with column creation when chunked arrays are passed
PR #5409 Use the correct memory resource when creating empty null masks
PR #5399 Fix cpp compiler warnings of unreachable code
PR #5439 Fix nvtext ngrams_tokenize performance for multi-byte UTF8
PR #5446 Fix compile error caused by out-of-date PR merge (4990)
PR #5983 Fix JNI gcc-9 compile error under CUDA 11
PR #5423 Fix any() reduction ignore nulls
PR #5459 Fix str.translate to convert table characters to UTF-8
PR #5480 Fix merge sort docs
PR #5465 Fix benchmark out of memory errors due to multiple initialization
PR #5473 Fix RLEv2 patched base in ORC reader
PR #5472 Fix str concat issue with indexed series
PR #5478 Fix loc and iloc doc
PR #5484 Ensure flat index after groupby if nlevels == 1
PR #5489 Fix drop_nulls/boolean_mask corruption for large columns
PR #5504 Remove some java assertions that are not needed
PR #5516 Update gpuCI image in local build script
PR #5529 Fix issue with negative timestamp in orc writer
PR #5523 Handle dtype of Buffer objects when not passed explicitly
PR #5534 Fix the java build around type_id
PR #5564 Fix CudfEngine.read_metadata API in dask_cudf
PR #5537 Fix issue related to using set_index on a string series
PR #5561 Fix copy_bitmask issue with offset
PR #5609 Fix loc and iloc issue with column like input
PR #5578 Fix getattr logic in GroupBy
PR #5490 Fix python column view
PR #5613 Fix assigning an equal length object into a masked out Series
PR #5608 Fix issue related to string types being represented as binary types
PR #5619 Fix issue related to typecasting when using a CategoricalDtype
PR #5649 Fix issue when empty Dataframe with index are passed to cudf.concat
PR #5644 Fix issue related to Dataframe init when passing in columns
PR #5340 Disable iteration in cudf objects and add support for DataFrame initialization with list of Series
PR #5663 Move Duration types under Timestamps in doxygen Modules page
PR #5664 Update conda upload versions for new supported CUDA/Python
PR #5656 Fix issue with incorrect docker image being used in local build script
PR #5671 Fix chunksize issue with DataFrame.to_csv
PR #5672 Fix crash in parquet writer while writing large string data
PR #5675 Allow lists_column_wrappers to be constructed from incomplete hierarchies.
PR #5691 Raise error on incompatible mixed-type input for a column
PR #5692 Fix compilation issue with gcc 7.4.0 and CUDA 10.1
PR #5693 Add fix missing from PR 5656 to update local docker image to py3.7
PR #5703 Small fix for dataframe constructor with cuda array interface objects that don't have descr field
PR #5727 Fix Index.__repr__ to allow representation of null values
PR #5719 Fix Frame._concat() with categorical columns
PR #5736 Disable unsigned type in ORC writer benchmarks
PR #5745 Update JNI cast for inability to cast timestamp and integer types
PR #5750 Add RMM_ROOT/include to the spdlog search path in JNI build
PR #5763 Update Java slf4j version to match Spark 3.0
PR #5816 Always preserve list column hierarchies across operations.
PR #5766 Fix issue related to iloc and slicing a DataFrame
PR #5827 Revert fallback for tolist being absent
PR #5774 Add fallback for when tolist is absent
PR #5319 Disallow SUM and specialize MEAN of timestamp types
PR #5797 Fix a missing data issue in some Parquet files
PR #5787 Fix column create from dictionary column view
PR #5764 Remove repetition of install instructions
PR #5926 Fix SeriesGroupBy.nunique() to return a Series
PR #5813 Fix normalizer exception with all-null strings column
PR #5820 Fix ListColumn.to_arrow for all null case
PR #5837 Bash syntax error in prebuild.sh preventing cudf_kafka and libcudf_kafka from being uploaded to Anaconda
PR #5841 Added custreamz functions that were missing in interface layer
PR #5844 Fix .str.cat when objects with different index are passed
PR #5849 Modify custreamz api to integrate seamlessly with python streamz
PR #5866 cudf_kafka python version inconsistencies in Anaconda packages
PR #5872 libcudf_kafka r_path is causing docker build failures on centos7
PR #5869 Fix bug in parquet writer in writing string column with offset
PR #5910 Propagate CUDA insufficient driver error to the user
PR #5914 Link CUDA against libcudf_kafka
PR #5895 Do not break kafka client consumption loop on local client timeout
PR #5915 Fix reference count on Java DeviceMemoryBuffer after contiguousSplit
PR #5941 Fix issue related to string to datetime64 column typecast
PR #5927 Fix return type of MultiIndex.argsort
PR #5942 Fix JIT cache multiprocess test failure
PR #5929 Revised assertEquals for List Columns in java tests
PR #5947 Fix null count for child device column vector
PR #5951 Fix mkdir error in benchmark build
PR #5949 Find Arrow include directory for JNI builds
PR #5964 Fix API doc page title tag
PR #5981 Handle nat in fillna for datetime and timedelta types
PR #6016 Fix benchmark fixture segfault
PR #6003 Fix concurrent JSON reads crash
PR #6032 Change black version to 19.10b0 in .pre-commit-config.yaml
PR #6041 Fix Java memory resource handler to rethrow original exception object
PR #6057 Fix issue in parquet reader with reading columns out of file-order
PR #6098 Patch Thrust to workaround CUDA_CUB_RET_IF_FAIL macro clearing CUDA errors

cuDF 0.14.0 (03 Jun 2020)

New Features

PR #5042 Use RMM for Numba
PR #4472 Add new partition API to replace scatter_to_tables.
PR #4626 LogBase binops
PR #4750 Normalize NANs and Zeroes (JNI Bindings)
PR #4689 Compute last day of the month for a given date
PR #4771 Added in an option to statically link against cudart
PR #4788 Add cudf::day_of_year API
PR #4789 Disallow timestamp sum and diffs via binary ops
PR #4815 Add JNI total memory allocated API
PR #4906 Add Java bindings for interleave_columns
PR #4900 Add get_element to obtain scalar from a column given an index
PR #4938 Add Java bindings for strip
PR #4923 Add Java and JNI bindings for string split
PR #4972 Add list_view (cudf::LIST) type
PR #4990 Add lists_column_view, list_column_wrapper, lists support for concatenate
PR #5073 gather support for cudf::LIST columns
PR #5004 Added a null considering min/max binary op
PR #4992 Add Java bindings for converting nans to nulls
PR #4975 Add Java bindings for first and last aggregate expressions based on nth
PR #5036 Add positive remainder binary op functionality
PR #5055 Add atan2 binary op
PR #5099 Add git commit hook for clang-format
PR #5072 Adding cython binding to get_element
PR #5092 Add cudf::replace_nans
PR #4881 Support row_number in rolling_window
PR #5068 Add Java bindings for arctan2
PR #5132 Support out-of-band buffers in Python pickling
PR #5139 Add Serializable ABC for Python
PR #5149 Add Java bindings for PMOD
PR #5153 Add Java bindings for extract
PR #5196 Add Java bindings for NULL_EQUALS, NULL_MAX and NULL_MIN
PR #5192 Add support for cudf.to_datetime
PR #5203 Add Java bindings for is_integer and is_float
PR #5205 Add ci test for libcudf, libnvstrings headers existence check in meta.yml
PR #5239 Support for custom cuIO datasource classes
PR #5293 Add Java bindings for replace_with_backrefs

Improvements

PR #5235 Make DataFrame.clean_renderable_dataframe() and DataFrame.get_renderable_dataframe non-public methods
PR #4995 Add CMake option for per-thread default stream
PR #5033 Fix Numba deprecations warnings with Numba 0.49+
PR #4950 Fix import errors with Numba 0.49+
PR #4825 Update the iloc exp in dataframe.py
PR #4450 Parquet writer: add parameter to retrieve the raw file metadata
PR #4531 Add doc note on conda channel_priority
PR #4479 Adding cuda 10.2 support via conda environment file addition
PR #4486 Remove explicit template parameter from detail::scatter.
PR #4471 Consolidate partitioning functionality into a single header.
PR #4483 Add support fill() on dictionary columns
PR #4498 Adds in support for chunked writers to java
PR #4073 Enable contiguous split java test
PR #4527 Add JNI and java bindings for matches_re
PR #4606 Fix scan unit test and upgrade to more appropriate algorithms
PR #4527 Add JNI and java bindings for matches_re
PR #4532 Parquet reader: add support for multiple pandas index columns
PR #4599 Add Java and JNI bindings for string replace
PR #4655 Raise error for list like dtypes in cudf
PR #4548 Remove string_view is_null method
PR #4645 Add Alias for kurtosis as kurt
PR #4703 Optimize strings concatenate for many columns
PR #4769 Remove legacy code from libcudf
PR #4668 Add Java bindings for log2/log10 unary ops and log_base binary op
PR #4616 Enable different RMM allocation modes in unit tests
PR #4520 Fix several single char -> single char case mapping values. Add support for single -> multi char mappings.
PR #4700 Expose events and more stream functionality in java
PR #4699 Make Java's MemoryBuffer public and add MemoryBuffer.slice
PR #4691 Fix compiler argument syntax for ccache
PR #4792 Port gather, scatter, and type_dispatcher benchmarks to libcudf++
PR #3581 Remove bool8
PR #4692 Add GPU and CUDA validations
PR #4705 quantile cython bindings
PR #4627 Remove legacy Cython
PR #4688 Add Java count aggregation to include null values
PR #4331 Improved test for double that considers an epsilon
PR #4731 Avoid redundant host->device copies when reading the entire CSV/JSON file
PR #4739 Add missing aggregations for cudf::experimental::reduce
PR #4738 Remove stop-gaps in StringMethods and enable related tests
PR #4745 Fix fsspec related issue and upgrade fsspec version
PR #4779 Allow reading arbitrary stripes/rowgroup lists in CPP columnar readers
PR #4766 Update to use header-only NVTX v3 and remove need to link against nvtx.
PR #4716 Remove direct calls to RMM_ALLOC/RMM_FREE
PR #4765 Add in java support for sequence
PR #4772 Cleanup dask_cudf to_parquet and enable "_metadata" creation
PR #4733 Fix isin docs for DataFrame, Series, Index, and add DataFrame.isin support
PR #4767 Remove linking against gtest_main and gmock_main in unit tests
PR #4660 Port cudf::partition api to python/cython
PR #4799 Remove null_count() and has_nulls() from column_device_view
PR #4778 Remove scatter_to_tables from libcudf, cython and python
PR #4783 Add support for child columns to mutable_column_device_view
PR #4802 Refactor cudf::transpose to increase performance.
PR #4776 Improve doxygen comments for libcudf string/timestamp conversion formats
PR #4793 Add cudf._cuda to setup.py
PR #4790 Replace the use of deprecated rmm APIs in the test environment
PR #4809 Improve libcudf doc rendering and add a new main page
PR #4811 Add precision to subsecond specifier in timestamp/string conversion format
PR #4543 Add inplace parameter support for Series.replace & DataFrame.replace
PR #4816 Remove java API use of deprecated RMM APIs
PR #4817 Fix fixed_point documentation
PR #4844 Change Doxygen color to RAPIDS purple and documentation improvement
PR #4840 Add docs for T, empty & values
PR #4841 Remove unused single_lane_block_popc_reduce function
PR #4842 Added Java bindings for titlizing a String column
PR #4847 Replace legacy NVTX calls with "standalone" NVTX bindings calls
PR #4851 Performance improvements relating to concat
PR #4852 Add NVTX range calls to strings and nvtext APIs
PR #4849 Update Java bindings to use new NVTX API
PR #4845 Add CUDF_FUNC_RANGE to top-level cuIO function APIs
PR #4848 Side step unique_count calculation in scatter_by_map
PR #4863 Create is_integer/is_float functions for checking characters before calling to_integers/to_floats
PR #4864 Add support for __array__ method in cuDF
PR #4853 Added CUDA_TRY to multiple places in libcudf code
PR #4870 Add chunked parquet file writing from python
PR #4865 Add docs and clarify limitations of applymap
PR #4867 Parquet reader: coalesce adjacent column chunk reads
PR #4871 Add in the build information when building the java jar file
PR #4869 Expose contiguous table when deserializing from Java
PR #4878 Remove obsolete string_from_host utility
PR #4873 Prevent mutable_view() from invoking null count
PR #4806 Modify doc and correct cupy array conversions in 10min-cudf-cupy.ipynb
PR #4877 Fix DataFrame.mask and align mask & where behavior with pandas
PR #4884 Add more NVTX annotations in cuDF Python
PR #4902 Use ContextDecorator instead of contextmanager for nvtx.annotate
PR #4894 Add annotations for the .columns property and setter
PR #4901 Improve unit tests for casting Java numeric types to string
PR #4888 Handle dropping of nan's & nulls using skipna parameter in Statistical reduction ops
PR #4903 Improve internal documentation of cudf-io compression/decompression kernels
PR #4905 Get decorated function name as message when annotating
PR #4907 Reuse EventAttributes across NVTX annotations
PR #4912 Drop old valid check in element_indexing
PR #4924 Properly handle npartition argument in rearrange_by_hash
PR #4918 Adding support for cupy.ndarray in series.loc
PR #4909 Added ability to transform a column using cuda method in Java bindings
PR #3259 Add .clang-format file & format all files
PR #4943 Fix-up error handling in GPU detection
PR #4917 Add support for casting unsupported dtypes of same kind
PR #4928 Misc performance improvements for scatter_by_map
PR #4927 Use stack for memory in deviceGetName
P# #4933 Enable nop annotate
PR #4929 Java methods ensure calling thread's CUDA device matches RMM device
PR #4956 Dropping find_first_value and find_last_value
PR #4962 Add missing parameters to DataFrame.replace & Series.replace
PR #4960 Return the result of to_json
PR #4963 Use cudaDeviceAttr in getDeviceAttribute
PR #4953 add documentation for supported NVIDIA GPUs and CUDA versions for cuDF
PR #4967 Add more comments to top-level gpuinflate and debrotli kernels
PR #4968 Add CODE_OF_CONDUCT.md
PR #4980 Change Java HostMemoryBuffer default to prefer pinned memory
PR #4994 clang-format "cpp/tests" directory
PR #4993 Remove Java memory prediction code
PR #4985 Add null_count to Python Column ctors and use already computed null_count when possible
PR #4998 Clean up dispatch of aggregation methods in result_cache
PR #5000 Performance improvements in isin and dask_cudf backend
PR #5002 Fix Column.reduce to accept null_count
PR #5006 Add Java bindings for strip, lstrip and rstrip
PR #5047 Add Cython binding for libcudf++ CSV reader
PR #5027 Move nvstrings standalone docs pages to libcudf doxygen pages
PR #4947 Add support for CategoricalColumn to be type-casted with different categories
PR #4822 Add constructor to pq_chunked_state to enable using RAII idiom
PR #5024 CSV reader input stage optimizations
PR #5061 Add support for writing parquet to python file-like objects
PR #5034 Use loc to apply boolmask to frame efficiently when constructing query result
PR #5039 Make annotate picklable
PR #5045 Remove call to unique() in concat when axis=1
PR #5023 Object oriented join and column agnostic typcasting
PR #5049 Add grouping of libcudf apis into doxygen modules
PR #5069 Remove duplicate documentation from detail headers
PR #5075 Add simple row-group aggregation mechanism in dask_cudf read_parquet
PR #5084 Improve downcasting in Series.label_encoding() to reduce memory usage
PR #5085 Print more precise numerical strings in unit tests
PR #5028 Add Docker 19 support to local gpuci build
PR #5093 Add .cat.as_known related test in dask_cudf
PR #5100 Add documentation on libcudf doxygen guidelines
PR #5106 Add detail API for cudf::concatenate with tables
PR #5104 Add missing .inl files to clang-format and git commit hook
PR #5112 Adding htoi and ip2int support to StringMethods
PR #5101 Add POSITION_INDEPENDENT_CODE flag to static cudftestutil library
PR #5109 Update CONTRIBUTING.md for clang-format pre-commit hook
PR #5054 Change String typecasting to be inline with Pandas
PR #5123 Display more useful info on clang-format CI Failure
PR #5058 Adding cython binding for CSV writer
PR #5156 Raise error when applying boolean mask containing null values.
PR #5137 Add java bindings for getSizeInBytes in DType
PR #5194 Update Series.fillna to reflect dtype behavior
PR #5159 Add make_meta_object in dask_cudf backend and add str.split test
PR #5147 Use logging_resource_adaptor from RMM in the JNI code
PR #5184 Fix style checks
PR #5198 Add detail headers for strings converter functions
PR #5199 Add index support in DataFrame.query
PR #5227 Refactor detail::gather API to make use of scoped enumerators
PR #5218 Reduce memory usage when categorifying column with null values.
PR #5209 Add nan_as_null support to cudf.from_pandas
PR #5207 Break up backref_re.cu into multiple source files to improve compile time
PR #5155 Fix cudf documentation misspellings
PR #5208 Port search and join benchmark to libcudf++
PR #5214 Move docs build script into repository
PR #5219 Add per context cache for JIT kernels
PR #5250 Improve to_csv() support for writing to buffers
PR #5233 Remove experimental namespace used during libcudf++ refactor
PR #5213 Documentation enhancements to cudf python APIs
PR #5251 Fix more mispellings in cpp comments and strings
PR #5261 Add short git commit to conda package name
PR #5254 Deprecate nvstrings, nvcategory and nvtext
PR #5270 Add support to check for "NaT" and "None" strings while typecasting to datetime64
PR #5298 Remove unused native deps from java library
PR #5216 Make documentation uniform for params

Bug Fixes

PR #5221 Fix the use of user-provided resource on temporary values
PR #5181 Allocate null count using the default resource in copy_if
PR #5141 Use user-provided resource correctly in unary_operation() and shift()
PR #5064 Fix hash() and construct_join_output_df() to use user-provided memory resource correctly
PR #4386 Update Java package to 0.14
PR #4466 Fix merge key column sorting
PR #4402 Fix cudf::strings::join_strings logic with all-null strings and null narep
PR #4610 Fix validity bug in string scalar factory
PR #4570 Fixing loc ordering issue in dataframe
PR #4612 Fix invalid index handling in cudf:dictionary:add-keys call to gather
PR #4614 Fix cuda-memcheck errors found in column_tests.cu and copying/utility_tests.cu
PR #4614 Fix cuda-memcheck errors found in column_tests.cu and copying/utility_tests.cu
PR #4639 Fix java column of empty strings issue
PR #4613 Fix issue related to downcasting in .loc
PR #4615 Fix potential OOB write in ORC writer compression stage
PR #4587 Fix non-regex libcudf contains methods to return true when target is an empty string
PR #4617 Fix memory leak in aggregation object destructor
PR #4633 String concatenation fix in DataFrame.rename
PR #4609 Fix to handle Series.factorize when index is set
PR #4659 Fix strings::replace_re handling empty regex pattern
PR #4652 Fix misaligned error when computing regex device structs
PR #4651 Fix hashing benchmark missing includes
PR #4672 Fix docs for value_counts and update test cases
PR #4672 Fix __setitem__ handling list of column names
PR #4673 Fix regex infinite loop while parsing invalid quantifier pattern
PR #4679 Fix comments for make_dictionary_column factory functions
PR #4711 Fix column leaks in Java unit test
pR #4721 Fix string binop to update nulls appropriately
PR #4722 Fix strings::pad when using pad::both with odd width
PR #4743 Fix loc issue with Multiindex on DataFrame and Series
PR #4725 Fix issue java with not setting GPU on background thread
PR #4701 Fix issue related to mixed input types in as_column
PR #4748 Fix strings::all_characters_of_type to allow verify-types mask
PR #4747 Fix random failures of decompression gtests
PR #4749 Setting nan_as_null=True while creating a column in DataFrame creation
PR #4761 Fix issues with nan_as_null in certain case
PR #4650 Fix type mismatch & result format issue in searchsorted
PR #4755 Fix Java build to deal with new quantiles API
PR #4720 Fix issue related to dtype param not being adhered incase of cuda arrays
PR #4756 Fix regex error checking for valid quantifier condition
PR #4777 Fix data pointer for column slices of zero length
PR #4770 Fix readonly flag in Column. __cuda_array_interface__
PR #4800 Fix dataframe slicing with strides
PR #4796 Fix groupby apply for operations that fail on empty groups
PR #4801 gitignore _cuda/*.cpp files
PR #4805 Fix hash_object_dispatch definitions in dask_cudf
PR #4813 Fix GenericIndex printing
PR #4804 Fix issue related repartition during hash based repartition
PR #4814 Raise error if to_csv does not get filename/path
PR #4821 Port apply_boolean_mask_benchmark to new cudf::column types
PR #4826 Move memory resource from RmmTestEnvironment to the custom gtest main() scope
PR #4839 Update Java bindings for timestamp cast formatting changes
PR #4797 Fix string timestamp to datetime conversion with ms and ns
PR #4854 Fix several cases of incorrect downcasting of operands in binops
PR #4834 Fix bug in transform in handling single line UDFs
PR #4857 Change JIT cache default directory to $HOME/.cudf
PR #4807 Fix categories duplication in dask_cudf
PR #4846 Fix CSV parsing with byte_range parameter and string columns
PR #4883 Fix series get/set to match pandas
PR #4861 Fix to_integers illegal-memory-access with all-empty strings column
PR #4860 Fix issues in HostMemoryBufferTest, and testNormalizeNANsAndZeros
PR #4879 Fix output for cudf.concat with axis=1 for pandas parity
PR #4838 Fix to support empty inputs to replace method
PR #4859 JSON reader: fix data type inference for string columns
PR #4868 Temporary fix to skip validation on Dask related runs
PR #4872 Fix broken column wrapper constructors in merge benchmark
PR #4875 Fix cudf::strings::from_integer logic converting min integer to string
PR #4876 Mark Java cleaner objects as being cleaned even if exception is thrown
PR #4780 Handle nulls in Statistical column operations
PR #4886 Minimize regex-find calls in multi-replace cudf::strings::replace_re function
PR #4887 Remove developer.rst and any links
PR #4915 Fix to reset_index inplace in MultiIndex and other places
PR #4899 Fix series inplace handling
PR #4940 Fix boolean mask issue with large sized Dataframe
PR #4889 Fix multi-index merging
PR #4922 Fix cudf::strings:split logic for many columns
PR #4949 Fix scatter, gather benchmark constructor call
PR #4958 Fix strings::replace perf for long strings
PR #4965 Raise Error when there are duplicate columns sent to cudf.concat
PR #4983 Fix from_cudf in dask_cudf
PR #4996 Parquet writer: fix potentially zero-sized string dictionary
PR #5009 Fix pickling for string and categorical columns
PR #4984 Fix groupby nth aggregation negative n and exclude nulls
PR #5011 Fix DataFrame loc issue with boolean masking
PR #4977 Fix compilation of cuDF benchmarks with build.sh
PR #5018 Fix crash when JIT cache dir inaccessible. Fix inter version cache clash for custom cache path.
PR #5005 Fix CSV reader error when only one of the row selection parameters is set
PR #5022 Add timestamp header to transform
PR #5021 Fix bug with unsigned right shift and scalar lhs
PR #5020 Fix conda install pre_commit not found when setting up dev environment
PR #5030 Fix Groupby sort=True
PR #5029 Change temporary dir to working dir for cudf io tests
PR #5040 Fix make_scalar_iterator() and make_pair_iterator(scalar) to not copy values to host
PR #5041 Fix invalid java test for shift right unsigned
PR #5043 Remove invalid examples page libcudf doxygen
PR #5060 Fix unsigned char limits issue in JIT by updating Jitify
PR #5070 Fix libcudf++ csv reader support for hex dtypes, doublequotes and empty columns
PR #5057 Fix metadata_out parameter not reaching parquet write_all
PR #5076 Fix JNI code for null_policy enum change
PR #5031 grouped_time_range_rolling_window assumes ASC sort order
PR #5032 grouped_time_range_rolling_window should permit invocation without specifying grouping_keys
PR #5103 Fix read_csv issue with names and header
PR #5090 Fix losing nulls while creating DataFrame from dictionary
PR #5089 Return false for sign-only string in libcudf is_float and is_integer
PR #5124 DataFrame.rename support for renaming indexes w/ default for index
PR #5108 Fix float-to-string convert for -0.0
PR #5111 Fix header not being included in legacy jit transform.
PR #5115 Fix hex-to-integer logic when string has prefix '0x'
PR #5118 Fix naming for java string length operators
PR #5129 Fix missed reference in tests from 5118
PR #5122 Fix clang-format custrings bug
PR #5138 Install contextvars backport on Python 3.6
PR #5145 Fix an issue with calling an aggregation operation on SeriesGroupBy
PR #5148 Fix JNI build for GCC 8
PR #5162 Fix issues related to empty Dataframe in as_gpu_matrix & astype
PR #5167 Fix regex extract match to return empty string
PR #5163 Fix parquet INT96 timestamps before the epoch
PR #5165 Fix potentially missing last row in libcudf++ csv reader
PR #5185 Fix flake8 configuration and issues from new flake8 version
PR #5193 Fix OOB read in csv reader
PR #5191 Fix the use of the device memory resource
PR #5212 Fix memory leak in dlpack.pyx:from_dlpack()
PR #5224 Add new headers from 5198 to libcudf/meta.yaml
PR #5228 Fix datetime64 scalar dtype handling for unsupported time units
PR #5256 ORC reader: fix loading individual timestamp columns
PR #5285 Fix DEBUG compilation failure due to fixed_point.hpp

cuDF 0.13.0 (31 Mar 2020)

New Features

PR #4360 Added Java bindings for bitwise shift operators
PR #3577 Add initial dictionary support to column classes
PR #3777 Add support for dictionary column in gather
PR #3693 add string support, skipna to scan operation
PR #3662 Define and implement shift.
PR #3861 Added Series.sum feature for String
PR #4069 Added cast of numeric columns from/to String
PR #3681 Add cudf::experimental::boolean_mask_scatter
PR #4040 Add support for n-way merge of sorted tables
PR #4053 Multi-column quantiles.
PR #4100 Add set_keys function for dictionary columns
PR #3894 Add remove_keys functions for dictionary columns
PR #4107 Add groupby nunique aggregation
PR #4235 Port nvtx.pyx to use non-legacy libcudf APIs
PR #4153 Support Dask serialization protocol on cuDF objects
PR #4127 Add python API for n-way sorted merge (merge_sorted)
PR #4164 Add Buffer "constructor-kwargs" header
PR #4172 Add groupby nth aggregation
PR #4159 Add COUNT aggregation that includes null values
PR #4190 Add libcudf++ transpose Cython implementation
PR #4063 Define and implement string capitalize and title API
PR #4217 Add libcudf++ quantiles Cython implementation
PR #4216 Add cudf.Scalar Python type
PR #3782 Add fixed_point class to support DecimalType
PR #4272 Add stable sorted order
PR #4129 Add libcudf++ interleave_columns and tile Cython implementation
PR #4262 Port unaryops.pyx to use libcudf++ APIs
PR #4276 Port avro.pyx to libcudf++
PR #4259 Ability to create Java host buffers from memory-mapped files
PR #4240 Add groupby::groups()
PR #4294 Add Series rank and Dataframe rank
PR #4304 Add new NVTX infrastructure and add ranges to all top-level compute APIs.
PR #4319 Add repartition_by_hash API to dask_cudf
PR #4315 ShiftLeft, ShiftRight, ShiftRightUnsigned binops
PR #4321 Expose Python Semi and Anti Joins
PR #4291 Add Java callback support for RMM events
PR #4298 Port orc.pyx to libcudf++
PR #4344 Port concat.pyx to libcudf++
PR #4329 Add support for dictionary columns in scatter
PR #4352 Add factory function make_column_from_scalar
PR #4381 Add Java support for copying buffers with asynchronous streams
PR #4288 Add libcudf++ shift Cython implementation
PR #4338 Add cudf::sequence() for generating an incrementing list of numeric values
PR #4456 Add argmin/max and string min/max to sort groupby
PR #4564 Added Java bindings for clamp operator.
PR #4602 Add Cython bindings for functions in datetime.hpp
PR #4670 Add java and JNI bindings for contains_re
PR #4363 Grouped Rolling Window support
PR #4798 Add UDF support to grouped rolling window
PR #3917 Add dictionary add_keys function
PR #3842 ORC writer: add support for column statistics
PR #4088 Added asString() on ColumnVector in Java that takes a format string
PR #4484 Port CSV writer to libcudf++

Improvements

PR #4641 Add replace example in dataframe.py and update 10min.ipynb
PR #4140 Add cudf series examples and corr() method for dataframe in dataframe.py
PR #4187 exposed getNativeView method in Java bindings
PR #3525 build.sh option to disable nvtx
PR #3748 Optimize hash_partition using shared memory
PR #3808 Optimize hash_partition using shared memory and cub block scan
PR #3698 Add count_(un)set_bits functions taking multiple ranges and updated slice to compute null counts at once.
PR #3909 Move java backend to libcudf++
PR #3971 Adding as_table to convert Column to Table in python
PR #3910 Adding sinh, cosh, tanh, asinh, acosh, atanh cube root and rint unary support.
PR #3972 Add Java bindings for left_semi_join and left_anti_join
PR #3975 Simplify and generalize data handling in Buffer
PR #3985 Update RMM include files and remove extraneously included header files.
PR #3601 Port UDF functionality for rolling windows to libcudf++
PR #3911 Adding null boolean handling for copy_if_else
PR #4003 Drop old to_device utility wrapper function
PR #4002 Adding to_frame and fix for categorical column issue
PR #4009 build script update to enable cudf build without installing
PR #3897 Port cuIO JSON reader to cudf::column types
PR #4008 Eliminate extra copy in column constructor
PR #4013 Add cython definition for io readers cudf/io/io_types.hpp
PR #4028 Port json.pyx to use new libcudf APIs
PR #4014 ORC/Parquet: add count parameter to stripe/rowgroup-based reader API
PR #3880 Add aggregation infrastructure support for cudf::reduce
PR #4059 Add aggregation infrastructure support for cudf::scan
PR #4021 Change quantiles signature for clarity.
PR #4057 Handle offsets in cython Column class
PR #4045 Reorganize libxx directory
PR #4029 Port stream_compaction.pyx to use libcudf++ APIs
PR #4031 Docs build scripts and instructions update
PR #4062 Improve how java classifiers are produced
PR #4038 JNI and Java support for is_nan and is_not_nan
PR #3786 Adding string support to rolling_windows
PR #4067 Removed unused CATEGORY type ID.
PR #3891 Port NVStrings (r)split_record to contiguous_(r)split_record
PR #4070 Port NVText normalize_spaces to use libcudf strings column
PR #4072 Allow round_robin_partition to single partition
PR #4064 Add cudaGetDeviceCount to JNI layer
PR #4075 Port nvtext ngrams-tokenize to libcudf++
PR #4087 Add support for writing large Parquet files in a chunked manner.
PR #3716 Update cudf.to_parquet to use new GPU accelerated Parquet writer
PR #4083 Use two partitions in test_groupby_multiindex_reset_index
PR #4071 Add Java bindings for round robin partition
PR #4079 Simply use mask.size to create the array view
PR #4092 Keep mask on GPU for bit unpacking
PR #4081 Copy from Buffer's pointer directly to host
PR #4105 Change threshold of using optimized hash partition code
PR #4101 Redux serialize Buffer directly with __cuda_array_interface__
PR #4098 Remove legacy calls from libcudf strings column code
PR #4044 Port join.pyx to use libcudf++ APIs
PR #4111 Use Buffer's to serialize StringColumn
PR #4567 Optimize __reduce__ in StringColumn
PR #4590 Register a few more types for Dask serialization
PR #4113 Get len of StringColumns without nvstrings
PR #4147 Remove workaround for UNKNOWN_NULL_COUNT in contiguous_split.
PR #4130 Renames in-place cudf::experimental::fill to cudf::experimental::fill_in_place
PR #4136 Add Index.names property
PR #4139 Port rolling.pyx to new libcudf APIs
PR #4143 Renames in-place cudf::experimental::copy_range to cudf::experimental::copy_range_in_place
PR #4144 Release GIL when calling libcudf++ functions
PR #4082 Rework MultiColumns in cuDF
PR #4149 Use "type-serialized" for pickled types like Dask
PR #4174 Port hash groupby to libcudf++
PR #4171 Split java host and device vectors to make a vector truly immutable
PR #4167 Port search to libcudf++ (support multi-column searchsorted)
PR #4163 Assert Dask CUDA serializers have Buffer frames
PR #4165 List serializable classes once
PR #4168 IO readers: do not create null mask for non-nullable columns
PR #4177 Use uint8 type for host array copy of Buffer
PR #4183 Update Google Test Execution
PR #4182 Rename cuDF serialize functions to be more generic
PR #4176 Add option to parallelize setup.py's cythonize
PR #4191 Porting sort.pyx to use new libcudf APIs
PR #4196 reduce CHANGELOG.md merge conflicts
PR #4197 Added notebook testing to gpuCI gpu build
PR #4220 Port strings wrap functionality.
PR #4204 Port nvtext create-ngrams function
PR #4219 Port dlpack.pyx to use new libcudf APIs
PR #4225 Remove stale notebooks
PR #4233 Porting replace.pyx to use new libcudf APIs
PR #4223 Fix a few of the Cython warnings
PR #4224 Optimize concatenate for many columns
PR #4234 Add BUILD_LEGACY_TESTS cmake option
PR #4231 Support for custom cuIO data_sink classes.
PR #4251 Add class to docs in dask-cudf derived_from
PR #4261 libxx Cython reorganization
PR #4274 Support negative position values in slice_strings
PR #4282 Porting nvstrings conversion functions from new libcudf++ to Python/Cython
PR #4290 Port Parquet to use new libcudf APIs
PR #4299 Convert cudf::shift to column-based api
PR #4301 Add support for writing large ORC files in a chunked manner
PR #4306 Use libcudf++ unary.pyx cast instead of legacy cast
PR #4295 Port reduce.pyx to libcudf++ API
PR #4305 Move gpuarrow.pyx and related libarrow_cuda files into _libxx
PR #4244 Port nvstrings Substring Gather/Scatter functions to cuDF Python/Cython
PR #4280 Port nvstrings Numeric Handling functions to cuDF Python/Cython
PR #4278 Port filling.pyx to libcudf++ API
PR #4328 Add memory threshold callbacks for Java RMM event handler
PR #4336 Move a bunch of internal nvstrings code to use native StringColumns
PR #4166 Port is_sorted.pyx to use libcudf++ APIs
PR #4351 Remove a bunch of internal usage of Numba; set rmm as cupy allocator
PR #4333 nvstrings case/capitalization cython bindings
PR #4345 Removed an undesirable backwards include from /include to /src in cuIO writers.hpp
PR #4367 Port copying.pyx to use new libcudf
PR #4362 Move pq_chunked_state struct into it's own header to match how orc writer is doing it.
PR #4339 Port libcudf strings wrap api to cython/python
PR #4236 Update dask_cudf.io.to_parquet to use cudf to_parquet
PR #4311 Port nvstrings String Manipulations functions to cuDF Python/Cython
PR #4373 Port nvstrings Regular Expressions functions to cuDF Python/Cython
PR #4308 Replace dask_cudf sort_values and improve set_index
PR #4407 Enable .str.slice & .str.get and .str.zfill unit-tests
PR #4412 Require Dask + Distributed 2.12.0+
PR #4377 Support loading avro files that contain nested arrays
PR #4436 Enable .str.cat and fix .str.split on python side
PR #4405 Port nvstrings (Sub)string Comparisons functions to cuDF Python/Cython
PR #4316 Add Java and JNI bindings for substring expression
PR #4314 Add Java and JNI bindings for string contains
PR #4461 Port nvstrings Miscellaneous functions to cuDF Python/Cython
PR #4495 Port nvtext to cuDF Python/Cython
PR #4503 Port binaryop.pyx to libcudf++ API
PR #4499 Adding changes to handle include keep_index and RangeIndex
PR #4533 Import tlz for optional cytoolz support
PR #4493 Skip legacy testing in CI
PR #4346 Port groupby Cython/Python to use libcudf++ API
PR #4524 Updating __setitem__ for DataFrame to use scalar scatter
PR #4611 Fix to use direct slicing in iloc for multiindex than using gather under _get_row_major
PR #4534 Disable deprecation warnings as errors.
PR #4542 Remove RMM init/finalize in cudf test fixture.
PR #4506 Check for multi-dimensional data in column/Series creation
PR #4549 Add option to disable deprecation warnings.
PR #4516 Add negative value support for .str.get
PR #4563 Remove copying to host for metadata generation in generate_pandas_metadata
PR #4554 Removed raw RMM allocation from column_device_view
PR #4619 Remove usage of nvstrings in data_array_view
PR #4654 Upgrade version of numba required to >=0.48.0
PR #4035 Port NVText tokenize function to libcudf++
PR #4042 Port cudf/io/functions.hpp to Cython for use in IO bindings
PR #4058 Port hash.pyx to use libcudf++ APIs
PR #4133 Mask cleanup and fixes: use int32 dtype, ensure 64 byte padding, handle offsets

Bug Fixes

PR #3888 Drop ptr=None from DeviceBuffer call
PR #3976 Fix string serialization and memory_usage method to be consistent
PR #3902 Fix conversion of large size GPU array to dataframe
PR #3953 Fix overflow in column_buffer when computing the device buffer size
PR #3959 Add missing hash-dispatch function for cudf.Series
PR #3970 Fix for Series Pickle
PR #3964 Restore legacy NVStrings and NVCategory dependencies in Java jar
PR #3982 Fix java unary op enum and add missing ops
PR #3999 Fix issue serializing empty string columns (java)
PR #3979 Add name to Series serialize and deserialize
PR #4005 Fix null mask allocation bug in gather_bitmask
PR #4000 Fix dask_cudf sort_values performance for single partitions
PR #4007 Fix for copy_bitmask issue with uninitialized device_buffer
PR #4037 Fix JNI quantile compile issue
PR #4054 Fixed JNI to deal with reduction API changes
PR #4052 Fix for round-robin when num_partitions divides nrows.
PR #4061 Add NDEBUG guard on constexpr_assert.
PR #4049 Fix cudf::split issue returning one less than expected column vectors
PR #4065 Parquet writer: fix for out-of-range dictionary indices
PR #4066 Fixed mismatch with dtype enums
PR #4078 Fix joins for when column_in_common input parameter is empty
PR #4080 Fix multi-index dask test with sort issue
PR #4084 Update Java for removal of CATEGORY type
PR #4086 ORC reader: fix potentially incorrect timestamp decoding in the last rowgroup
PR #4089 Fix dask groupby mutliindex test case issues in join
PR #4097 Fix strings concatenate logic with column offsets
PR #4076 All null string entries should have null data buffer
PR #4109 Use rmm::device_vector instead of thrust::device_vector
PR #4113 Use .nvstrings in StringColumn.sum(...)
PR #4116 Fix a bug in contiguous_split() where tables with mixed column types could corrupt string output
PR #4125 Fix type enum to account for added Dictionary type in types.hpp
PR #4132 Fix hash_partition null mask allocation
PR #4137 Update Java for mutating fill and rolling window changes
PR #4184 Add missing except+ to Cython bindings
PR #4141 Fix NVStrings test_convert failure in 10.2 build
PR #4156 Make fill/copy_range no-op on empty columns
PR #4158 Fix merge issue with empty table return if one of the two tables are empty
PR #4162 Properly handle no index metadata generation for to_parquet
PR #4175 Fix __sizeof__ calculation in StringColumn
PR #4155 Update groupby group_offsets size and fix unnecessary device dispatch.
PR #4186 Fix from_timestamps 12-hour specifiers support
PR #4198 Fix constructing RangeIndex from range
PR #4192 Parquet writer: fix OOB read when computing string hash
PR #4201 Fix java window tests
PR #4199 Fix potential race condition in memcpy_block
PR #4221 Fix series dict alignment to not drop index name
PR #4218 Fix get_aggregation definition with except *
PR #4215 Fix performance regression in strings::detail::concatenate
PR #4214 Alter ValueError exception for GPU accelerated Parquet writer to properly report categorical columns are not supported.
PR #4232 Fix handling empty tuples of children in string columns
PR #4222 Fix no-return compile error in binop-null-test
PR #4242 Fix for rolling tests CI failure
PR #4245 Fix race condition in parquet reader
PR #4253 Fix dictionary decode and set_keys with column offset
PR #4258 Fix dask-cudf losing index name in reset_index
PR #4268 Fix java build for hash aggregate
PR #4275 Fix bug in searching nullable values in non-nullable search space in upper_bound
PR #4273 Fix losing StringIndex name in dask _meta_nonempty
PR #4279 Fix converting np.float64 to Scalar
PR #4285 Add init files for cython pkgs and fix setup.py
PR #4287 Parquet reader: fix empty string potentially read as null
PR #4310 Fix empty values case in groupby
PR #4297 Fix specification of package_data in setup.py
PR #4302 Fix _is_local_filesystem check
PR #4303 Parquet reader: fix empty columns missing from table
PR #4317 Fix fill() when using string_scalar with an empty string
PR #4324 Fix slice_strings for out-of-range start position value
PR #4115 Serialize an empty column table with non zero rows
PR #4327 Preemptive dispatch fix for changes in dask#5973
PR #4379 Correct regex reclass count variable to number of pairs instead of the number of literals
PR #4364 Fix libcudf zfill strings to ignore '+/-' chars
PR #4358 Fix strings::concat where narep is an empty string
PR #4369 Fix race condition in gpuinflate
PR #4390 Disable ScatterValid and ScatterNull legacy tests
PR #4399 Make scalar destructor virtual.
PR #4398 Fixes the failure in groupby in MIN/MAX on strings when some groups are empty
PR #4406 Fix sorted merge issue with null values and ascending=False
PR #4445 Fix string issue for parquet reader and support keep_index for scatter_to_tables
PR #4423 Tighten up Dask serialization checks
PR #4537 Use elif in Dask deserialize check
PR #4682 Include frame lengths in Dask serialized header
PR #4438 Fix repl-template error for replace_with_backrefs
PR #4434 Fix join_strings logic with all-null strings and non-null narep
PR #4465 Fix use_pandas_index having no effect in libcudf++ parquet reader
PR #4464 Update Cmake to always link in libnvToolsExt
PR #4467 Fix dropna issue for a DataFrame having np.nan
PR #4480 Fix string_scalar.value to return an empty string_view for empty string-scalar
PR #4474 Fix to not materialize RangeIndex in copy_categories
PR #4496 Skip tests which require 2+ GPUs
PR #4494 Update Java memory event handler for new RMM resource API
PR #4505 Fix 0 length buffers during serialization
PR #4482 Fix .str.rsplit, .str.split, .str.find, .str.rfind, .str.index, .str.rindex and enable related tests
PR #4513 Backport scalar virtual destructor fix
PR #4519 Remove n validation for nlargest & nsmallest and add negative support for n
PR #4596 Fix _popn issue with performance
PR #4526 Fix index slicing issue for index incase of an empty dataframe
PR #4538 Fix cudf::strings::slice_strings(step=-1) for empty strings
PR #4557 Disable compile-errors on deprecation warnings, for JNI
PR #4669 Fix dask_cudf categorical nonempty meta handling
PR #4576 Fix typo in serialize.py
PR #4571 Load JNI native dependencies for Scalar class
PR #4598 Fix to handle pd.DataFrame in DataFrame.__init__
PR #4594 Fix exec dangling pointer issue in legacy groupby
PR #4591 Fix issue when reading consecutive rowgroups
PR #4600 Fix missing include in benchmark_fixture.hpp
PR #4588 Fix ordering issue in MultiIndex
PR #4632 Fix handling of empty inputs to concatenate
PR #4630 Remove dangling reference to RMM exec policy in drop duplicates tests.
PR #4625 Fix hash-based repartition bug in dask_cudf
PR #4662 Fix to handle keep_index in partition_by_hash
PR #4683 Fix Slicing issue with categorical column in DataFrame
PR #4676 Fix bug in _shuffle_group for repartition
PR #4681 Fix test_repr tests that were generating a RangeIndex for column names
PR #4729 Fix fsspec versioning to prevent dask test failures
PR #4145 Support empty index case in DataFrame._from_table
PR #4108 Fix dtype bugs in dask_cudf metadata (metadata_nonempty overhaul)
PR #4138 Really fix strings concatenate logic with column offsets
PR #4119 Fix binary ops slowdown using jitify -remove-unused-globals

cuDF 0.12.0 (04 Feb 2020)

New Features

PR #3759 Updated 10 Minutes with clarification on how dask_cudf uses cudf API
PR #3224 Define and implement new join APIs.
PR #3284 Add gpu-accelerated parquet writer
PR #3254 Python redesign for libcudf++
PR #3336 Add from_dlpack and to_dlpack
PR #3555 Add column names support to libcudf++ io readers and writers
PR #3527 Add string functionality for merge API
PR #3610 Add memory_usage to DataFrame and Series APIs
PR #3557 Add contiguous_split() function.
PR #3619 Support CuPy 7
PR #3604 Add nvtext ngrams-tokenize function
PR #3403 Define and implement new stack + tile APIs
PR #3627 Adding cudf::sort and cudf::sort_by_key
PR #3597 Implement new sort based groupby
PR #3776 Add column equivalence comparator (using epsilon for float equality)
PR #3667 Define and implement round-robin partition API.
PR #3690 Add bools_to_mask
PR #3761 Introduce a Frame class and make Index, DataFrame and Series subclasses
PR #3538 Define and implement left semi join and left anti join
PR #3683 Added support for multiple delimiters in nvtext.token_count()
PR #3792 Adding is_nan and is_notnan
PR #3594 Adding clamp support to libcudf++

Improvements

PR #3124 Add support for grand-children in cudf column classes
PR #3292 Port NVStrings regex contains function
PR #3409 Port NVStrings regex replace function
PR #3417 Port NVStrings regex findall function
PR #3351 Add warning when filepath resolves to multiple files in cudf readers
PR #3370 Port NVStrings strip functions
PR #3453 Port NVStrings IPv4 convert functions to cudf strings column
PR #3441 Port NVStrings url encode/decode to cudf strings column
PR #3364 Port NVStrings split functions
PR #3463 Port NVStrings partition/rpartition to cudf strings column
PR #3502 ORC reader: add option to read DECIMALs as INT64
PR #3461 Add a new overload to allocate_like() that takes explicit type and size params.
PR #3590 Specialize hash functions for floating point
PR #3569 Use np.asarray in StringColumn.deserialize
PR #3553 Support Python NoneType in numeric binops
PR #3511 Support DataFrame / Series mixed arithmetic
PR #3567 Include strides in __cuda_array_interface__
PR #3608 Update OPS codeowner group name
PR #3431 Port NVStrings translate to cudf strings column
PR #3507 Define and implement new binary operation APIs
PR #3620 Add stream parameter to unary ops detail API
PR #3593 Adding begin/end for mutable_column_device_view
PR #3587 Merge CHECK_STREAM & CUDA_CHECK_LAST to CHECK_CUDA
PR #3733 Rework hash_partition API
PR #3655 Use move with make_pair to avoid copy construction
PR #3402 Define and implement new quantiles APIs
PR #3612 Add ability to customize the JIT kernel cache path
PR #3647 Remove PatchedNumbaDeviceArray with CuPy 6.6.0
PR #3641 Remove duplicate definitions of CUDA_DEVICE_CALLABLE
PR #3640 Enable memory_usage in dask_cudf (also adds pd.Index from_pandas)
PR #3654 Update Jitify submodule ref to include gcc-8 fix
PR #3639 Define and implement nans_to_nulls
PR #3561 Rework contains implementation in search
PR #3616 Add aggregation infrastructure for argmax/argmin.
PR #3673 Parquet reader: improve rounding of timestamp conversion to seconds
PR #3699 Stringify libcudacxx headers for binary op JIT
PR #3697 Improve column insert performance for wide frames
PR #3653 Make gather_bitmask_kernel more reusable.
PR #3710 Remove multiple CMake configuration steps from root build script
PR #3657 Define and implement compiled binops for string column comparisons
PR #3520 Change read_parquet defaults and add warnings
PR #3780 Java APIs for selecting a GPU
PR #3796 Improve on round-robin with the case when number partitions greater than number of rows.
PR #3805 Avoid CuPy 7.1.0 for now
PR #3758 detail::scatter variant with map iterator support
PR #3882 Fail loudly when creating a StringColumn from nvstrings with > MAX_VAL(int32) bytes
PR #3823 Add header file for detail search functions
PR #2438 Build GBench Benchmarks in CI
PR #3713 Adding aggregation support to rolling_window
PR #3875 Add abstract sink for IO writers, used by ORC and Parquet writers for now
PR #3916 Refactor gather bindings

Bug Fixes

PR #3618 Update 10 minutes to cudf and cupy to hide warning that were being shown in the docs
PR #3550 Update Java package to 0.12
PR #3549 Fix index name issue with iloc with RangeIndex
PR #3562 Fix 4GB limit for gzipped-compressed csv files
PR #2981 enable build.sh to build all targets without installation
PR #3563 Use __cuda_array_interface__ for serialization
PR #3564 Fix cuda memory access error in gather_bitmask_kernel
PR #3548 Replaced CUDA_RT_CALL with CUDA_TRY
PR #3486 Pandas > 0.25 compatability
PR #3622 Fix new warnings and errors when building with gcc-8
PR #3588 Remove avro reader column order reversal
PR #3629 Fix hash map test failure
PR #3637 Fix sorted set_index operations in dask_cudf
PR #3663 Fix libcudf++ ORC reader microseconds and milliseconds conversion
PR #3668 Fixing CHECK_CUDA debug build issue
PR #3684 Fix ends_with logic for matching string case
PR #3691 Fix create_offsets to handle offset correctly
PR #3687 Fixed bug while passing input GPU memory pointer in nvtext.scatter_count()
PR #3701 Fix hash_partition hashing all columns instead of columns_to_hash
PR #3694 Allow for null columns parameter in csv_writer
PR #3706 Removed extra type-dispatcher call from merge
PR #3704 Changed the default delimiter to whitespace for nvtext methods.
PR #3741 Construct DataFrame from dict-of-Series with alignment
PR #3724 Update rmm version to match release
PR #3743 Fix for None data in __array_interface__
PR #3731 Fix performance of zero sized dataframe slice
PR #3709 Fix inner_join incorrect result issue
PR #3734 Update numba to 0.46 in conda files
PR #3738 Update libxx cython types.hpp path
PR #3672 Fix to_host issue with column_view having offset
PR #3730 CSV reader: Set invalid float values to NaN/null
PR #3670 Floor when casting between timestamps of different precisions
PR #3728 Fix apply_boolean_mask issue with non-null string column
PR #3769 Don't look for a name attribute in column
PR #3783 Bind cuDF operators to Dask Dataframe
PR #3775 Fix segfault when reading compressed CSV files larger than 4GB
PR #3799 Align indices of Series inputs when adding as columns to DataFrame
PR #3803 Keep name when unpickling Index objects
PR #3804 Fix cuda crash in AVRO reader
PR #3766 Remove references to cudf::type_id::CATEGORY from IO code
PR #3817 Don't always deepcopy an index
PR #3821 Fix OOB read in gpuinflate prefetcher
PR #3829 Parquet writer: fix empty dataframe causing cuda launch errors
PR #3835 Fix memory leak in Cython when dealing with nulls in string columns
PR #3866 Remove unnecessary if check in NVStrings.create_offsets
PR #3858 Fixes the broken debug build after #3728
PR #3850 Fix merge typecast scope issue and resulting memory leak
PR #3855 Fix MultiColumn recreation with reset_index
PR #3869 Fixed size calculation in NVStrings::byte_count()
PR #3868 Fix apply_grouped moving average example
PR #3900 Properly link NVStrings and NVCategory into tests
PR #3868 Fix apply_grouped moving average example
PR #3871 Fix split_out error
PR #3886 Fix string column materialization from column view
PR #3893 Parquet reader: fix segfault reading empty parquet file
PR #3931 Dask-cudf groupby .agg multicolumn handling fix
PR #4017 Fix memory leaks in GDF_STRING cython handling and nans_to_nulls cython

cuDF 0.11.0 (11 Dec 2019)

New Features

PR #2905 Added Series.median() and null support for Series.quantile()
PR #2930 JSON Reader: Support ARROW_RANDOM_FILE input
PR #2956 Add cudf::stack and cudf::tile
PR #2980 Added nvtext is_vowel/is_consonant functions
PR #2987 Add inplace arg to DataFrame.reset_index and Series
PR #3011 Added libcudf++ transition guide
PR #3129 Add strings column factory from std::vectors
PR #3054 Add parquet reader support for decimal data types
PR #3022 adds DataFrame.astype for cuDF dataframes
PR #2962 Add isnull(), notnull() and related functions
PR #3025 Move search files to legacy
PR #3068 Add scalar class
PR #3094 Adding any and all support from libcudf
PR #3130 Define and implement new column_wrapper
PR #3143 Define and implement new copying APIs slice and split
PR #3161 Move merge files to legacy
PR #3079 Added support to write ORC files given a local path
PR #3192 Add dtype param to cast DataFrame on init
PR #3213 Port cuIO to libcudf++
PR #3222 Add nvtext character tokenizer
PR #3223 Java expose underlying buffers
PR #3300 Add DataFrame.insert
PR #3263 Define and implement new valid_if
PR #3278 Add to_host utility to copy column_view to host
PR #3087 Add new cudf::experimental bool8 wrapper
PR #3219 Construct column from column_view
PR #3250 Define and implement new merge APIs
PR #3144 Define and implement new hashing APIs hash and hash_partition
PR #3229 Define and implement new search APIs
PR #3308 java add API for memory usage callbacks
PR #2691 Row-wise reduction and scan operations via CuPy
PR #3291 Add normalize_nans_and_zeros
PR #3187 Define and implement new replace APIs
PR #3356 Add vertical concatenation for table/columns
PR #3344 java split API
PR #2791 Add groupby.std()
PR #3368 Enable dropna argument in dask_cudf groupby
PR #3298 add null replacement iterator for column_device_view
PR #3297 Define and implement new groupby API.
PR #3396 Update device_atomics with new bool8 and timestamp specializations
PR #3411 Java host memory management API
PR #3393 Implement df.cov and enable covariance/correlation in dask_cudf
PR #3401 Add dask_cudf ORC writer (to_orc)
PR #3331 Add copy_if_else
PR #3427 Define and Implement new multi-search API
PR #3442 Add Bool-index + Multi column + DataFrame support for set-item
PR #3172 Define and implement new fill/repeat/copy_range APIs
PR #3490 Add pair iterators for columns
PR #3497 Add DataFrame.drop(..., inplace=False) argument
PR #3469 Add string functionality for replace API
PR #3273 Define and implement new reduction APIs

Improvements

PR #2904 Move gpu decompressors to cudf::io namespace
PR #2977 Moved old C++ test utilities to legacy directory.
PR #2965 Fix slow orc reader perf with large uncompressed blocks
PR #2995 Move JIT type utilities to legacy directory
PR #2927 Add Table and TableView extension classes that wrap legacy cudf::table
PR #3005 Renames cudf::exp namespace to cudf::experimental
PR #3008 Make safe versions of is_null and is_valid in column_device_view
PR #3026 Move fill and repeat files to legacy
PR #3027 Move copying.hpp and related source to legacy folder
PR #3014 Snappy decompression optimizations
PR #3032 Use asarray to coerce indices to a NumPy array
PR #2996 IO Readers: Replace cuio::device_buffer with rmm::device_buffer
PR #3051 Specialized hash function for strings column
PR #3065 Select and Concat for cudf::experimental::table
PR #3080 Move valid_if.cuh to legacy/
PR #3052 Moved replace.hpp functionality to legacy
PR #3091 Move join files to legacy
PR #3092 Implicitly init RMM if Java allocates before init
PR #3029 Update gdf_ numeric types with stdint and move to cudf namespace
PR #3052 Moved replace.hpp functionality to legacy
PR #2955 Add cmake option to only build for present GPU architecture
PR #3070 Move functions.h and related source to legacy
PR #2951 Allow set_index to handle a list of column names
PR #3093 Move groupby files to legacy
PR #2988 Removing GIS functionality (now part of cuSpatial library)
PR #3067 Java method to return size of device memory buffer
PR #3083 Improved some binary operation tests to include null testing.
PR #3084 Update to arrow-cpp and pyarrow 0.15.0
PR #3071 Move cuIO to legacy
PR #3126 Round 2 of snappy decompression optimizations
PR #3046 Define and implement new copying APIs empty_like and allocate_like
PR #3128 Support MultiIndex in DataFrame.join
PR #2971 Added initial gather and scatter methods for strings_column_view
PR #3133 Port NVStrings to cudf column: count_characters and count_bytes
PR #2991 Added strings column functions concatenate and join_strings
PR #3028 Define and implement new gather APIs.
PR #3135 Add nvtx utilities to cudf::nvtx namespace
PR #3021 Java host side concat of serialized buffers
PR #3138 Move unary files to legacy
PR #3170 Port NVStrings substring functions to cudf strings column
PR #3159 Port NVStrings is-chars-types function to cudf strings column
PR #3154 Make table_view_base.column() const and add mutable_table_view.column()
PR #3175 Set cmake cuda version variables
PR #3171 Move deprecated error macros to legacy
PR #3191 Port NVStrings integer convert ops to cudf column
PR #3189 Port NVStrings find ops to cudf column
PR #3352 Port NVStrings convert float functions to cudf strings column
PR #3193 Add cuPy as a formal dependency
PR #3195 Support for zero columned table_view
PR #3165 Java device memory size for string category
PR #3205 Move transform files to legacy
PR #3202 Rename and move error.hpp to public headers
PR #2878 Use upstream merge code in dask_cudf
PR #3217 Port NVStrings upper and lower case conversion functions
PR #3350 Port NVStrings booleans convert functions
PR #3231 Add column::release() to give up ownership of contents.
PR #3157 Use enum class rather than enum for mask_allocation_policy
PR #3232 Port NVStrings datetime conversion to cudf strings column
PR #3136 Define and implement new transpose API
PR #3237 Define and implement new transform APIs
PR #3245 Move binaryop files to legacy
PR #3241 Move stream_compaction files to legacy
PR #3166 Move reductions to legacy
PR #3261 Small cleanup: remove == true
PR #3271 Update rmm API based on rmm.reinitialize(...) change
PR #3266 Remove optional checks for CuPy
PR #3268 Adding null ordering per column feature when sorting
PR #3239 Adding floating point specialization to comparators for NaNs
PR #3270 Move predicates files to legacy
PR #3281 Add to_host specialization for strings in column test utilities
PR #3282 Add num_bitmask_words
PR #3252 Add new factory methods to include passing an existing null mask
PR #3288 Make bit.cuh utilities usable from host code.
PR #3287 Move rolling windows files to legacy
PR #3182 Define and implement new unary APIs is_null and is_not_null
PR #3314 Drop cython from run requirements
PR #3301 Add tests for empty column wrapper.
PR #3294 Update to arrow-cpp and pyarrow 0.15.1
PR #3310 Add row_hasher and element_hasher utilities
PR #3272 Support non-default streams when creating/destroying hash maps
PR #3286 Clean up the starter code on README
PR #3332 Port NVStrings replace to cudf strings column
PR #3354 Define and implement new scatter APIs
PR #3322 Port NVStrings pad operations to cudf strings column
PR #3345 Add cache member for number of characters in string_view class
PR #3299 Define and implement new is_sorted APIs
PR #3328 Partition by stripes in dask_cudf ORC reader
PR #3243 Use upstream join code in dask_cudf
PR #3371 Add select method to table_view
PR #3309 Add java and JNI bindings for search bounds
PR #3305 Define and implement new rolling window APIs
PR #3380 Concatenate columns of strings
PR #3382 Add fill function for strings column
PR #3391 Move device_atomics_tests.cu files to legacy
PR #3303 Define and implement new stream compaction APIs copy_if, drop_nulls, apply_boolean_mask, drop_duplicate and unique_count.
PR #3387 Strings column gather function
PR #3440 Strings column scatter function
PR #3389 Move quantiles.hpp + group_quantiles.hpp files to legacy
PR #3397 Port unary cast to libcudf++
PR #3398 Move reshape.hpp files to legacy
PR #3395 Port NVStrings regex extract to cudf strings column
PR #3423 Port NVStrings htoi to cudf strings column
PR #3425 Strings column copy_if_else implementation
PR #3422 Move utilities to legacy
PR #3201 Define and implement new datetime_ops APIs
PR #3421 Port NVStrings find_multiple to cudf strings column
PR #3448 Port scatter_to_tables to libcudf++
PR #3458 Update strings sections in the transition guide
PR #3462 Add make_empty_column and update empty_like.
PR #3465 Port aggregation traits and utilities.
PR #3214 Define and implement new unary operations APIs
PR #3475 Add bitmask_to_host column utility
PR #3487 Add is_boolean trait and random timestamp generator for testing
PR #3492 Small cleanup (remove std::abs) and comment
PR #3407 Allow multiple row-groups per task in dask_cudf read_parquet
PR #3512 Remove unused CUDA conda labels
PR #3500 cudf::fill()/cudf::repeat() support for strings columns.
PR #3438 Update scalar and scalar_device_view to better support strings
PR #3414 Add copy_range function for strings column
PR #3685 Add string support to contiguous_split.
PR #3471 Add scalar/column, column/scalar and scalar/scalar overloads to copy_if_else.
PR #3451 Add support for implicit typecasting of join columns

Bug Fixes

PR #2895 Fixed dask_cudf group_split behavior to handle upstream rearrange_by_divisions
PR #3048 Support for zero columned tables
PR #3030 Fix snappy decoding regression in PR #3014
PR #3041 Fixed exp to experimental namespace name change issue
PR #3056 Add additional cmake hint for finding local build of RMM files
PR #3060 Move copying.hpp includes to legacy
PR #3139 Fixed java RMM auto initalization
PR #3141 Java fix for relocated IO headers
PR #3149 Rename column_wrapper.cuh to column_wrapper.hpp
PR #3168 Fix mutable_column_device_view head const_cast
PR #3199 Update JNI includes for legacy moves
PR #3204 ORC writer: Fix ByteRLE encoding of NULLs
PR #2994 Fix split_out-support but with hash_object_dispatch
PR #3212 Fix string to date casting when format is not specified
PR #3218 Fixes row_lexicographic_comparator issue with handling two tables
PR #3228 Default initialize RMM when Java native dependencies are loaded
PR #3012 replacing instances of to_gpu_array with mem
PR #3236 Fix Numba 0.46+/CuPy 6.3 interface compatibility
PR #3276 Update JNI includes for legacy moves
PR #3256 Fix orc writer crash with multiple string columns
PR #3211 Fix breaking change caused by rapidsai/rmm#167
PR #3265 Fix dangling pointer in is_sorted
PR #3267 ORC writer: fix incorrect ByteRLE encoding of long literal runs
PR #3277 Fix invalid reference to deleted temporary in is_sorted.
PR #3274 ORC writer: fix integer RLEv2 mode2 unsigned base value encoding
PR #3279 Fix shutdown hang issues with pinned memory pool init executor
PR #3280 Invalid children check in mutable_column_device_view
PR #3289 fix java memory usage API for empty columns
PR #3293 Fix loading of csv files zipped on MacOS (disabled zip min version check)
PR #3295 Fix storing storing invalid RMM exec policies.
PR #3307 Add pd.RangeIndex to from_pandas to fix dask_cudf meta_nonempty bug
PR #3313 Fix public headers including non-public headers
PR #3318 Revert arrow to 0.15.0 temporarily to unblock downstream projects CI
PR #3317 Fix index-argument bug in dask_cudf parquet reader
PR #3323 Fix insert non-assert test case
PR #3341 Fix Series constructor converting NoneType to "None"
PR #3326 Fix and test for detail::gather map iterator type inference
PR #3334 Remove zero-size exception check from make_strings_column factories
PR #3333 Fix compilation issues with constexpr functions not marked __device__
PR #3340 Make all benchmarks use cudf base fixture to initialize RMM pool
PR #3337 Fix Java to pad validity buffers to 64-byte boundary
PR #3362 Fix find_and_replace upcasting series for python scalars and lists
PR #3357 Disabling column_view iterators for non fixed-width types
PR #3383 Fix : properly compute null counts for rolling_window.
PR #3386 Removing external includes from column_view.hpp
PR #3369 Add write_partition to dask_cudf to fix to_parquet bug
PR #3388 Support getitem with bools when DataFrame has a MultiIndex
PR #3408 Fix String and Column (De-)Serialization
PR #3372 Fix dask-distributed scatter_by_map bug
PR #3419 Fix a bug in parse_into_parts (incomplete input causing walking past the end of string).
PR #3413 Fix dask_cudf read_csv file-list bug
PR #3416 Fix memory leak in ColumnVector when pulling strings off the GPU
PR #3424 Fix benchmark build by adding libcudacxx to benchmark's CMakeLists.txt
PR #3435 Fix diff and shift for empty series
PR #3439 Fix index-name bug in StringColumn concat
PR #3445 Fix ORC Writer default stripe size
PR #3459 Fix printing of invalid entries
PR #3466 Fix gather null mask allocation for invalid index
PR #3468 Fix memory leak issue in drop_duplicates
PR #3474 Fix small doc error in capitalize Docs
PR #3491 Fix more doc errors in NVStrings
PR #3478 Fix as_index deep copy via Index.rename inplace arg
PR #3476 Fix ORC reader timezone conversion
PR #3188 Repr slices up large DataFrames
PR #3519 Fix strings column concatenate handling zero-sized columns
PR #3530 Fix copy_if_else test case fail issue
PR #3523 Fix lgenfe issue with debug build
PR #3532 Fix potential use-after-free in cudf parquet reader
PR #3540 Fix unary_op null_mask bug and add missing test cases
PR #3559 Use HighLevelGraph api in DataFrame constructor (Fix upstream compatibility)
PR #3572 Fix CI Issue with hypothesis tests that are flaky

cuDF 0.10.0 (16 Oct 2019)

New Features

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 into cudf 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 into cudf
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() and cudf.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 #2870 Add support for grouping by Series of arbitrary length
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 #2811 Start of cudf strings column work based on 2207
PR #2872 Add Java pinned memory pool allocator
PR #2969 Add findAndReplaceAll to ColumnVector
PR #2814 Add Datetimeindex.weekday
PR #2999 Add timestamp conversion support for string categories
PR #2918 Add cudf::column timestamp wrapper types

Improvements

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 example to 10 minute guide
PR #2828 Optimizations of kernel launch configuration for DataFrame.apply_rows and DataFrame.apply_chunks
PR #2831 Add column argument to DataFrame.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 #2890 Optionally keep serialized table data on the host.
PR #2778 Doc: Updated and fixed some docstrings that were formatted incorrectly.
PR #2830 Use YYMMDD tag in custreamz nightly build
PR #2875 Java: Remove synchronized from register methods in MemoryCleaner
PR #2887 Minor snappy decompression optimization
PR #2899 Use new RMM API based on Cython
PR #2788 Guide to Python UDFs
PR #2919 Change java API to use operators in groupby namespace
PR #2909 CSV Reader: Avoid row offsets host vector default init
PR #2834 DataFrame supports setting columns via attribute syntax df.x = col
PR #3147 DataFrame can be initialized from rows via list of tuples
PR #3539 Restrict CuPy to 6

Bug Fixes

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 to cudf-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() and cumprod() on boolean series.
PR #2865 DaskIO: Fix read_csv and read_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 in concat
PR #2926 Update rounding algorithm to avoid using fmod
PR #2968 Fix Java dependency loading when using NVTX
PR #2963 Fix ORC writer uncompressed block indexing
PR #2928 CSV Reader: Fix using byte_range for large datasets
PR #2983 Fix sm_70+ race condition in gpu_unsnap
PR #2964 ORC Writer: Segfault when writing mixed numeric and string columns
PR #3007 Java: Remove unit test that frees RMM invalid pointer
PR #3009 Fix orc reader RLEv2 patch position regression from PR #2507
PR #3002 Fix CUDA invalid configuration errors reported after loading an ORC file without data
PR #3035 Update update-version.sh for new docs locations
PR #3038 Fix uninitialized stream parameter in device_table deleter
PR #3064 Fixes groupby performance issue
PR #3061 Add rmmInitialize to nvstrings gtests
PR #3058 Fix UDF doc markdown formatting
PR #3059 Add nvstrings python build instructions to contributing.md

cuDF 0.9.0 (21 Aug 2019)

New Features

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 into cudf repo
PR #2149 CSV Reader: Add hex dtype for explicit hexadecimal parsing
PR #2156 Add upper_bound() and lower_bound() for libcudf tables and searchsorted() 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 for to_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

Improvements

PR #2103 Move old column and bitmask files into legacy/ 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 and getattr 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 and dask-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 and isort 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 just slice.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 a legacy/ directory
PR #2350 Performance related changes to get_dummies
PR #2420 Remove cudautils.astype and replace with typecast.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

Bug Fixes

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's apply_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

cuDF 0.8.0 (27 June 2019)

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 #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

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 #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::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 #1930 Specialize constructor for cudf::bool8 to cast argument to bool
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
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 #1803 cuDF/CuPy interoperability documentation

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 #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

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 #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 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 initial 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 ( )
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
PR #2037 Optimize the existing gather and scatter routines in libcudf

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 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 occurring 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.

Files

CHANGELOG.md

Latest commit

History

CHANGELOG.md

File metadata and controls

cuDF 0.20.0 (Date TBD)

cuDF 0.19.0 (Date TBD)

cuDF 0.18.0 (24 Feb 2021)

Breaking Changes 🚨

Bug Fixes 🐛

Documentation 📖

New Features 🚀

Improvements 🛠️

cuDF 0.17.0 (10 Dec 2020)

New Features

Improvements

Bug Fixes

cuDF 0.16.0 (21 Oct 2020)

New Features

Improvements

Bug Fixes

cuDF 0.15.0 (26 Aug 2020)

New Features

Improvements

Bug Fixes

cuDF 0.14.0 (03 Jun 2020)

New Features

Improvements

Bug Fixes

cuDF 0.13.0 (31 Mar 2020)

New Features

Improvements

Bug Fixes

cuDF 0.12.0 (04 Feb 2020)

New Features

Improvements

Bug Fixes

cuDF 0.11.0 (11 Dec 2019)

New Features

Improvements

Bug Fixes

cuDF 0.10.0 (16 Oct 2019)

New Features

Improvements

Bug Fixes

cuDF 0.9.0 (21 Aug 2019)

New Features

Improvements

Bug Fixes

cuDF 0.8.0 (27 June 2019)

New Features

Improvements

Bug Fixes

cudf 0.7.2 (16 May 2019)

New Features

Bug Fixes

cudf 0.7.1 (11 May 2019)

New Features

Bug Fixes

cuDF 0.7.0 (10 May 2019)

New Features

Improvements

Bug Fixes

cuDF 0.6.1 (25 Mar 2019)

Bug Fixes

cuDF 0.6.0 (22 Mar 2019)

New Features

Improvements

Bug Fixes

cuDF 0.5.1 (05 Feb 2019)

Bug Fixes

cuDF 0.5.0 (28 Jan 2019)

New Features

Improvements

Bug Fixes

cuDF 0.4.0 (05 Dec 2018)

New Features

Improvements

Bug Fixes