* Make column projections stricter (dask#881)

* Simplify again after lowering (dask#884)

* Visual EXPLAIN (dask#885)

* Fix merge predicate pushdowns with weird predicates (dask#888)

* Handle futures that are put into map_partitions (dask#892)

* Remove eager divisions from indexing (dask#891)

* Add shuffle if objects are not aligned and partitions are unknown in assign (dask#887)

Co-authored-by: Hendrik Makait <[email protected]>

* Add support for dd.Aggregation (dask#893)

* Fix random_split for series (dask#894)

* Update dask version

* Use Aggregation from dask/dask (dask#895)

* Fix meta calculation error in groupby (dask#897)

* Revert "Use Aggregation from dask/dask" (dask#898)

* Parquet reader using Pyarrow FileSystem (dask#882)

Co-authored-by: Patrick Hoefler <[email protected]>

* Fix assign for empty indexer (dask#901)

* Add dask.dataframe import at start (dask#903)

* Add indicator support to merge (dask#902)

* Fix detection of parquet filter pushdown (dask#910)

* Speedup init of `ReadParquetPyarrowFS` (dask#909)

* Don't rely on sets in are_co_aligned (dask#908)

* Implement more efficient GroupBy.mean (dask#906)

* Refactor GroupByReduction (dask#920)

* Implement array inference in new_collection (dask#922)

* Add support for convert string option (dask#912)

* P2P shuffle drops partitioning column early (dask#899)

* Avoid culling for SetIndexBlockwise with divisions (dask#925)

* Re-run versioneer install to fix version number (tag_prefix) (dask#926)

* Sort if split_out=1 in value_counts (dask#924)

* Wrap fragments (dask#911)

* Ensure that columns are copied in projection (dask#927)

* Raise in map if pandas < 2.1 (dask#929)

* Add _repr_html_ and updated __repr__ for FrameBase (dask#930)

* Support token for map_partitions (dask#931)

* Fix Copy-on-Write related bug in groupby.transform (dask#933)

* Fix to_dask_dataframe test after switching to dask-expr by default (dask#935)

* Use multi-column assign in groupby apply (dask#934)

* Enable copy on write by default (dask#932)

Co-authored-by: Patrick Hoefler <[email protected]>

* Avoid fusing from_pandas ops to avoid duplicating data (dask#938)

* Adjust automatic split_out parameter (dask#940)

* Revert "Add _repr_html_ and updated __repr__ for FrameBase (dask#930)" (dask#941)

* Remove repartition from P2P shuffle (dask#942)

* [Parquet] Calculate divisions from statistics (dask#917)

* Accept user arguments for arrow_to_pandas (dask#936)

* Add _repr_html_ and prettier __repr__ w/o graph materialization (dask#943)

* Add dask tokenize for fragment wrapper (dask#948)

* Warn if annotations are ignored (dask#947)

* Require `pyarrow>=7` (dask#949)

* Implement string conversion for from_array (dask#950)

* Add dtype and columns type check for shuffle (dask#951)

* Concat arrow tables before converting to pandas (dask#928)

* MINOR: Avoid confusion around shuffle method (dask#956)

Co-authored-by: Patrick Hoefler <[email protected]>

* Set pa cpu count (dask#954)

Co-authored-by: Patrick Hoefler <[email protected]>

* Update for pandas nighlies (dask#953)

* Fix bug with split_out in groupby aggregate (dask#957)

* Fix default observed value (dask#960)

* Ensure that we respect shuffle in context manager (dask#958)

Co-authored-by: Hendrik Makait <[email protected]>

* Fix 'Empty' prefix to non-empty Series repr (dask#963)

* Update README.md (dask#964)

* Adjust split_out values to be consistent with other methods (dask#961)

* bump version to 1.0

* Raise an error if the optimizer cannot terminate (dask#966)

* Fix non-converging optimizer (dask#967)

* Fixup filter pushdown through merges with ands and column reuse (dask#969)

* Fix unique with shuffle and strings (dask#971)

* Implement custom reductions (dask#970)

* Fixup set_index with one partition but more divisions by user (dask#972)

* Fixup predicate pushdown for query 19 (dask#973)

Co-authored-by: Miles <[email protected]>

* Revert enabling pandas cow (dask#974)

* Update changelog for 1.0.2

* Fix set-index preserving divisions for presorted (dask#977)

* Fixup reduction with split_every=False (dask#978)

* Release for dask 2024.3.1

* Raise better error for repartition on divisions with unknown divisions (dask#980)

* Fix concat of series objects with column projection (dask#981)

* Fix some reset_index optimization issues (dask#982)

* Remove keys() (dask#983)

* Ensure wrapping an array when comparing to Series works if columns are empty (dask#984)

* Version v1.0.4

* Visual ANALYZE (dask#889)

Co-authored-by: fjetter <[email protected]>

* Support ``prefix`` argument in  ``from_delayed`` (dask#991)

* Ensure drop matches column names exactly (dask#992)

* Fix SettingWithCopyWarning in _merge.py (dask#990)

* Update pyproject.toml (dask#994)

* Allow passing of boolean index for column index in loc (dask#995)

* Ensure that repr doesn't raise if an operand is a pandas object (dask#996)

* Version v1.0.5

* Reduce coverage target a little bit (dask#999)

* Nicer read_parquet prefix (dask#998)

Co-authored-by: Patrick Hoefler <[email protected]>

* Set divisions with divisions already known (dask#997)

* Start building and publishing conda nightlies (dask#986)

* Fix zero division error when reading index from parquet (dask#1000)

* Rename overloaded `to/from_dask_dataframe` API (dask#987)

* Register json and orc APIs for "pandas" dispatch (dask#1004)

* Fix pyarrow fs reads for list of directories (dask#1006)

* Release for dask 2024.4.0

* Fix meta caclulation in drop_duplicates (dask#1007)

* Release 1.0.7

* Support named aggregations in groupby.aggregate (dask#1009)

* Make release 1.0.9

* Adjust version number in changes

* Make setattr work (dask#1011)

* Release for dask 2024.4.1

* Fix head for npartitions=-1 and optimizer step (dask#1014)

* Deprecate ``to/from_dask_dataframe`` API (dask#1001)

* Fix projection for rename if projection isn't renamed (dask#1016)

* Fix unique with numeric columns (dask#1017)

* Add changes for new version

* Fix column projections in merge when suffixes are relevant (dask#1019)

* Simplify dtype casting logic for shuffle (dask#1012)

* Use implicit knowledge about divisions for efficient grouping (dask#946)

Co-authored-by: Patrick Hoefler <[email protected]>
Co-authored-by: Hendrik Makait <[email protected]>

* Fix assign after set index incorrect projections (dask#1020)

* Fix read_parquet if directory is empty (dask#1023)

* Rename uniuqe_partition_mapping property and add docs (dask#1022)

* Add docs for usefule optimizer methods (dask#1025)

* Fix doc build error (dask#1026)

* Fix error in analyze for scalar (dask#1027)

* Add nr of columns to explain output for projection (dask#1030)

Co-authored-by: Hendrik Makait <[email protected]>

* Fuse more aggressively if parquet files are tiny (dask#1029)

* Move IO docstrings over (dask#1033)

* Release for dask 2024.4.2

* Add cudf support to ``to_datetime`` and ``_maybe_from_pandas`` (dask#1035)

* Fix backend dispatching for `read_csv` (dask#1028)

* Fix loc accessing index for element wise op (dask#1037)

* Fix loc slicing with Datetime Index (dask#1039)

* Fix shuffle after set_index from 1 partition df (dask#1040)

* Bugfix release

* Fix bug in ``Series`` reductions (dask#1041)

* Fix shape returning integer (dask#1043)

* Fix xarray integration with scalar columns (dask#1046)

* Fix None min/max statistics and missing statistics generally (dask#1045)

* Fix drop with set (dask#1047)

* Fix delayed in fusing with multipled dependencies (dask#1038)

* Add bugfix release

* Optimize when from-delayed is called (dask#1048)

* Fix default name conversion in `ToFrame` (dask#1044)

Co-authored-by: Patrick Hoefler <[email protected]>

* Add support for ``DataFrame.melt`` (dask#1049)

* Fixup failing test (dask#1052)

* Generalize ``get_dummies`` (dask#1053)

* reduce pickle size of parquet fragments (dask#1050)

* Add a bunch of docs (dask#1051)

Co-authored-by: Hendrik Makait <[email protected]>

* Release for dask 2024.5.0

* Fix to_parquet in append mode (dask#1057)

* Fix sort_values for unordered categories (dask#1058)

* Fix dropna before merge (dask#1062)

* Fix non-integer divisions in FusedIO (dask#1063)

* Add cache  argument to ``lower_once`` (dask#1059)

* Use ensure_deterministic kwarg instead of config (dask#1064)

* Fix isin with strings (dask#1067)

* Fix isin for head computation (dask#1068)

* Fix read_csv with positional usecols (dask#1069)

* Release for dask 2024.5.1

* Use `is_categorical_dtype` dispatch for `sort_values` (dask#1070)

* Fix meta for string accessors (dask#1071)

* Fix projection to empty from_pandas (dask#1072)

* Release for dask 2024.5.2

* Fix categorize if columns are dropped (dask#1074)

* Fix resample divisions propagation (dask#1075)

* Release for dask 2024.6.0

* Fix get_group for multiple keys (dask#1080)

* Skip distributed tests (dask#1081)

* Fix cumulative aggregations for empty partitions (dask#1082)

* Move another test to distributed folder (dask#1085)

* Release 1.1.4

* Release for dask 2024.6.2

* Add minimal subset of interchange protocol (dask#1087)

* Add from_map docstring (dask#1088)

* Ensure 1 task group per from_delayed (dask#1084)

* Advise against using from_delayed (dask#1089)

* Refactor shuffle method to handle invalid columns (dask#1091)

* Fix freq behavior on  ci (dask#1092)

* Add first array draft (dask#1090)

* Fix array import stuff (dask#1094)

* Add asarray (dask#1095)

* Implement arange (dask#1097)

* Implement linspace (dask#1098)

* Implement zeros and ones (dask#1099)

* Remvoe pandas 2 checks (dask#1100)

* Add unify-chunks draft to arrays (dask#1101)

Co-authored-by: Patrick Hoefler <[email protected]>

* Release for dask 2024.7.0

* Skip test if optional xarray cannot be imported (dask#1104)

* Fix deepcopying FromPandas class (dask#1105)

* Fix from_pandas with chunksize and empty df (dask#1106)

* Link fix in readme (dask#1107)

* Fix shuffle blowing up the task graph (dask#1108)

Co-authored-by: Hendrik Makait <[email protected]>

* Release for dask 2024.7.1

* Fix some things for pandas 3 (dask#1110)

* Fixup remaining upstream failures (dask#1111)

* Release for dask 2024.8.0

* Drop support for Python 3.9 (dask#1109)

Co-authored-by: James Bourbeau <[email protected]>

* Fix tuples as on argument in merge (dask#1117)

* Fix merging when index name in meta missmatches actual name (dask#1119)

Co-authored-by: Hendrik Makait <[email protected]>

* Register `read_parquet` and `read_csv` as "dispatchable" (dask#1114)

* Fix projection for Index class in read_parquet (dask#1120)

* Fix result index of merge (dask#1121)

* Introduce `ToBackend` expression (dask#1115)

* Avoid calling ``array`` attribute on ``cudf.Series`` (dask#1122)

* Make split_out for categorical default smarter (dask#1124)

* Release for dask 2024.8.1

* Fix scalar detection of columns coming from sql (dask#1125)

* Bump `pyarrow>=14.0.1` minimum versions (dask#1127)

Co-authored-by: Patrick Hoefler <[email protected]>

* Fix concat axis 1 bug in divisions (dask#1128)

* Release for dask 2024.8.2

* Use task-based rechunking as default (dask#1131)

* Improve performance of `DelayedsExpr` through caching (dask#1132)

* Import from tokenize (dask#1133)

* Release for dask 2024.9.0

* Add concatenate flag to .compute() (dask#1138)

* Release for dask 2024.9.1

* Fix displaying timestamp scalar (dask#1141)

* Fix alignment issue with groupby index accessors (dask#1142)

* Improve handling of optional dependencies in `analyze` and `explain` (dask#1146)

* Switch from mambaforge to miniforge in CI (dask#1147)

* Fix merge_asof for single partition (dask#1145)

* Raise exception when calculating divisons (dask#1149)

* Fix binary operations with scalar on the left (dask#1150)

* Explicitly list setuptools as a build dependency in conda recipe (dask#1151)

* Version v1.1.16

* Fix ``Merge`` divisions after filtering partitions (dask#1152)

* Fix meta calculation for to_datetime (dask#1153)

* Internal cleanup of P2P code (dask#1154)

* Migrate P2P shuffle and merge to TaskSpec (dask#1155)

* Improve Aggregation docstring explicitly mentionning SeriesGroupBy (dask#1156)

* Migrate shuffle and merge to `P2PBarrierTask` (dask#1157)

* Migrate Blockwise to use taskspec (dask#1159)

* Add support for Python 3.13 (dask#1160)

* Release for dask 2024.11.0

* Fix fusion calling things multiple times (dask#1161)

* Version 1.1.18

* Version 1.1.19

* Fix orphaned dependencies in Fused expression (dask#1163)

* Use Taskspec fuse implementation (dask#1162)

Co-authored-by: Patrick Hoefler <[email protected]>

* Introduce more caching when walking the expression (dask#1165)

* Avoid exponentially growing graph for Assign-Projection combinations (dask#1164)

* Remove ``from_dask_dataframe`` (dask#1167)

* Deprecated and remove from_legacy_dataframe usage (dask#1168)

Co-authored-by: James Bourbeau <[email protected]>

* Remove recursion in task spec (dask#1158)

* Fix value_counts with split_out != 1 (dask#1170)

* Release 2024.12.0

* Use new blockwise unpack collection in array (dask#1173)

* Propagate group_keys in DataFrameGroupBy (dask#1174)

* Fix assign optimization when overwriting columns (dask#1176)

* Remove custom read-csv stuff (dask#1178)

* Fixup install paths (dask#1179)

* Version 1.1.21

* Remove legacy conversion functions (dask#1177)

* Remove duplicated files

* Move repository

* Clean up docs and imports

* Clean up docs and imports

---------

Co-authored-by: Hendrik Makait <[email protected]>
Co-authored-by: Florian Jetter <[email protected]>
Co-authored-by: Miles <[email protected]>
Co-authored-by: Joris Van den Bossche <[email protected]>
Co-authored-by: Richard (Rick) Zamora <[email protected]>
Co-authored-by: Charles Blackmon-Luca <[email protected]>
Co-authored-by: James Bourbeau <[email protected]>
Co-authored-by: alex-rakowski <[email protected]>
Co-authored-by: Matthew Rocklin <[email protected]>
Co-authored-by: Sandro <[email protected]>
Co-authored-by: Ben <[email protected]>
Co-authored-by: James Bourbeau <[email protected]>
Co-authored-by: Guillaume Eynard-Bontemps <[email protected]>
Co-authored-by: Tom Augspurger <[email protected]>