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| Name: python311-dask-array | Distribution: openSUSE Tumbleweed |
| Version: 2025.9.1 | Vendor: openSUSE |
| Release: 1.2 | Build date: Wed Sep 17 12:42:04 2025 |
| Group: Unspecified | Build host: reproducible |
| Size: 3913696 | Source RPM: python-dask-2025.9.1-1.2.src.rpm |
| Packager: http://bugs.opensuse.org | |
| Url: https://dask.org | |
| Summary: Numpy-like array data structure for dask | |
A flexible library for parallel computing in Python. Dask is composed of two parts: - Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. - “Big Data” collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of dynamic task schedulers. This package contains the dask array class. Dask arrays implement a subset of the NumPy interface on large arrays using blocked algorithms and task scheduling.
BSD-3-Clause
* Wed Sep 17 2025 Ben Greiner <code@bnavigator.de>
- Update to 2025.9.1
* Avoid unconditional pyarrow dependency in dataframe.backends
(dask#12075) Tom Augspurger
* pandas 3.x compatibility for .groups (dask#12071) Tom
Augspurger
* Expose details about worker start timeout in the exception
message (distributed#9092) Taylor Braun-Jones
* pynvml => nvidia-ml-py in CI (distributed#9111) Jacob Tomlinson
* Wed Sep 17 2025 Steve Kowalik <steven.kowalik@suse.com>
- Make pyarrow version requirement the same everywhere.
- Update dependencies of dataframe and test.
- Skip two tests that are broken upstream.
* Sun Sep 14 2025 Dirk Müller <dmueller@suse.com>
- update to 2025.9.0:
* pandas 3.x compatibility (:pr:`12025`) `Tom Augspurger`_
* Remove protocol="ucx" support in favor of distributed-ucxx
(:pr-distributed:`9105`) `Peter Andreas Entschev`_
* Account for __main__ in pickle normalization (:pr:`11970`)
`James Bourbeau`_
* Enable column projection in MapPartitions (:pr:`11875`)
`Richard (Rick) Zamora`_
* Add config option for direct-to-workers (:pr-
distributed:`9097`) `James Bourbeau`_
* Fixed Array setitem when both the array and the indexer have
unknown shape. See :pr:`11753` from `Tom Augspurger`_ for
more details.
* Fixed several delayed graph handling issues introduced in the
2025.4.0 release. See :pr:`11917`, :pr:`11907`, and :pr-
distributed:`9071` from `Florian Jetter`_ for more details.
* When computing multiple Dask-Expr backed collections like
DataFrames, they are now optimized together instead of
individually.
* Graph materialization and low level optimization is now being
performed on the scheduler of a distributed cluster (if
available).
* New kwarg force for DataFrame.shuffle which signals the
optimizer to not drop the shuffle during optimization.
* Collections that are passed to Dask methods as arguments are
now properly optimized. If multiple collections are passed as
arguments they will be optimized together. Collections passed
this way are prohibited from being being reused, i.e. if the
collection is used again in another function call it will be
computed again. This pattern is used to avoid pipeline
breakers which typically drive memory usage. Avoiding those
should reduce memory pressure on the cluster but can cause
runtime regressions.
* (Special case of above point) Collections passed to Delayed
objects are now optimized automatically.
* Support for custom low level optimizers removed.
* Top level dask.optimize will now always trigger graph
materialization. Previously this was not always the case.
This also causes any low level HLG annotations to be dropped.
* DataFrame and Array compute results are now always
concatenated on the cluster. Previously, the behavior was
dependent on the API used to call compute (dask.compute,
DaskCollection.compute, or Client.compute).
* dask.base.collections_to_dsk has been renamed to
collections_to_expr and no longer returns a HighLevelGraph or
dict object but instead guarantees an dask._expr.Expr object.
Further, it no longer performs low level optimization
immediately but instead delays until the Expr instance is
materialized, i.e. the returned object is no longer a mapping
such that converting it to dict or iterating over it is not
possible any more.
* Wed Dec 04 2024 Ben Greiner <code@bnavigator.de>
- Update to 2024.12.0
* Revert "Add LLM chatbot to Dask docs (#11556)" @dchudz (#11577)
* Automatically rechunk if array in to_zarr has irregular chunks
@phofl (#11553)
* Blockwise uses Task class @fjetter (#11568)
* Migrate rechunk and reshape to task spec @phofl (#11555)
* Cache svg-representation for arrays @dcherian (#11560)
* Fix empty input for containers @fjetter (#11571)
* Convert Bag graphs to TaskSpec graphs during optimization
@fjetter (#11569)
* add LLM chatbot to Dask docs @dchudz (#11556)
* Add support for Python 3.13 @phofl (#11456)
* Fuse data nodes in linear fusion too @phofl (#11549)
* Migrate slicing code to task spec @phofl (#11548)
* Speed up ArraySliceDep tokenization @phofl (#11551)
* Fix fusing of p2p barrier tasks @phofl (#11543)
* Remove infra/mentions of GPU CI @charlesbluca (#11546)
* Temporarily disable gpuCI update CI job @jrbourbeau (#11545)
* Use BlockwiseDep to implement map_blocks keywords @phofl
(#11542)
* Remove optimize_slices @phofl (#11538)
* Make reshape_blockwise a noop if shape is the same @phofl
(#11541)
* Remove read-only flag from open_arry in open_zarr @phofl
(#11539)
* Implement linear_fusion for task spec class @phofl (#11525)
* Remove recursion from TaskSpec @fjetter (#11477)
* Fixup test after dask-expr change @phofl (#11536)
* Bump codecov/codecov-action from 3 to 5 @dependabot (#11532)
* Create dask-expr frame directly without roundtripping @phofl
(#11529)
* Add scikit-image nightly back to upstream CI @jrbourbeau
(#11530)
* Remove from\_dask\_dataframe import @phofl (#11528)
* Ensure that from_array creates a copy @phofl (#11524)
* Simplify and improve performance of normalize chunks @phofl
(#11521)
* Fix flaky nanquantile test @phofl (#11518)
* Fix tests for new read\_only kwarg in zarr=3 @phofl (#11516)
* Wed Nov 27 2024 Ben Greiner <code@bnavigator.de>
- Skip tokenize test on python313
* See gh#dask/dask#11456, gh#dask/dask#11457
* Fri Nov 22 2024 Dirk Müller <dmueller@suse.com>
- reenable for python 313 as numba is now available
* Tue Nov 19 2024 Dirk Müller <dmueller@suse.com>
- update to 2024.11.2:
* fix critical performance regression in 2024.11.1
- skip dask on 313 as numba is not yet ready for it
* Tue Nov 12 2024 Dirk Müller <dmueller@suse.com>
- update to 2024.11.1:
* Zarr-Python 3 compatibility (:pr:`11388`)
* Avoid exponentially increasing taskgraph in overlap
* Ensure numba tokenization does not use slow pickle path
* Sun Sep 08 2024 Dirk Müller <dmueller@suse.com>
- update to 2024.8.2:
* Avoid capturing code of xdist @fjetter
* Reduce memory footprint of culling P2P rechunking
* Add tests for choosing default rechunking method
* Increase visibility of GPU CI updates @charlesbluca
* Bump test\_pause\_while\_idle timeout @fjetter
* Concatenate small input chunks before P2P rechunking
* Remove dump cluster from gen\_cluster @fjetter
* Bump `numpy>=1.24` and `pyarrow>=14.0.1` minimum versions
* Fix PipInstall plugin on Worker @hendrikmakait
* Remove more Python 3.10 compatibility code @jrbourbeau
* Use task-based rechunking to prechunk along partial
boundaries @hendrikmakait
* Ensure client\_desires\_keys does not corrupt Scheduler state
@fjetter
* Bump minimum ``cloudpickle`` to 3 @jrbourbeau
* Thu Aug 29 2024 Ben Greiner <code@bnavigator.de>
- Update to 2024.8.1
* Improve output chunksizes for reshaping Dask Arrays
* Improve scheduling efficiency for Xarray Rechunk-GroupBy-Reduce
patterns
* Drop support for Python 3.9
- Release 2025.8.0
* Improve efficiency and performance of slicing with positional
indexers
* Improve scheduling efficiency for Xarray GroupBy-Reduce
patterns
- Release 2025.7.1
* More resilient distributed lock
- Release 2025.7.0
* Drop support for pandas 1.x
* Publish-subscribe APIs deprecated
- Overhaul multibuild setup: Prepare for python313
* Thu Jul 11 2024 Ben Greiner <code@bnavigator.de>
- Do not pin to numpy < 2. Dask supports it, downstream packages
must take care of their own.
* Mon Jul 08 2024 Steve Kowalik <steven.kowalik@suse.com>
- Update to 2024.6.2:
* profile._f_lineno: handle next_line being None in Python 3.13
* Cache global query-planning config
* Python 3.13 fixes
* Fix test_map_freq_to_period_start for pandas=3
* Tokenizing memmap arrays will now avoid materializing the array into
memory.
* Fix test_dt_accessor with query planning disabled
* Remove deprecated dask.compatibility module
* Ensure compatibility for xarray.NamedArray
* Avoid rounding error in
test_prometheus_collect_count_total_by_cost_multipliers
* Log key collision count in update_graph log event
* Rename safe to expected in Scheduler.remove_worker
* Eagerly update aggregate statistics for TaskPrefix instead of
calculating them on-demand
* Improve graph submission time for P2P rechunking by avoiding unpack
recursion into indices
* Add safe keyword to remove-worker event
* Improved errors and reduced logging for P2P RPC calls
* Adjust P2P tests for dask-expr
* Iterate over copy of Server.digests_total_since_heartbeat to avoid
RuntimeError
* Add Prometheus gauge for task groups
* Fix too strict assertion in shuffle code for pandas subclasses
* Reduce noise from erring tasks that are not supposed to be running
* Fri Apr 26 2024 Ben Greiner <code@bnavigator.de>
- Update to 2024.4.2
* Trivial Merge Implementation
* Auto-partitioning in read_parquet
- Release 2024.4.1
* Fix an error when importing dask.dataframe with Python 3.11.9.
- Release 2024.4.0
* Query planning fixes
* GPU metric dashboard fixes
- Release 2024.3.1
* Demote an exception to a warning if dask-expr is not installed
when upgrading.
- Release 2024.3.0
* Query planning
* Sunset of Pandas 1.X support
* Tue Mar 05 2024 Ben Greiner <code@bnavigator.de>
- Update to 2024.2.1
* Allow silencing dask.DataFrame deprecation warning
* More robust distributed scheduler for rare key collisions
* More robust adaptive scaling on large clusters
- The test subpackage now directly depends on pandas-test which
does not use pytest-asyncio anymore
* Wed Feb 14 2024 Ben Greiner <code@bnavigator.de>
- Update to 2024.2.0
* Deprecate Dask DataFrame implementation
* Improved tokenization
* https://docs.dask.org/en/stable/changelog.html#v2024-2-0
- Really drop python39 from testing instead of testing it with
every other test flavor
* Tue Feb 06 2024 Dirk Müller <dmueller@suse.com>
- drop python39 from testing
* Sun Feb 04 2024 Ben Greiner <code@bnavigator.de>
- Add python312 test flavor
* Tue Jan 30 2024 Dirk Müller <dmueller@suse.com>
- update to 2024.1.1:
* This release contains compatibility updates for the latest
pandas and scipy releases. See :pr:`10834`, :pr:`10849`,
:pr:`10845`, and :pr-distributed:`8474` from `crusaderky`_
for details.
* Sat Jan 20 2024 Dirk Müller <dmueller@suse.com>
- update to 2024.1.0:
* Released on January 12, 2024
* P2P rechunking now utilizes the relationships between input
and output chunks. For situations that do not require all-to-
all data transfer, this may significantly reduce the runtime
and memory/disk footprint. It also enables task culling.
* The fastparquet Parquet engine has been deprecated. Users
should migrate to the pyarrow engine by installing PyArrow
and removing engine="fastparquet" in read_parquet or
to_parquet calls.
* This release improves serialization robustness for arbitrary
data. Previously there were some cases where serialization
could fail for non-msgpack serializable data. In those cases
we now fallback to using pickle.
* Deprecate shuffle keyword in favour of shuffle_method for
DataFrame methods (:pr:`10738`) `Hendrik Makait`_
* Deprecate automatic argument inference in repartition
* Deprecate compute parameter in set_index
* Deprecate inplace in eval
* Deprecate Series.view
* Deprecate npartitions="auto" for set_index & sort_values
* Mon Dec 18 2023 Dirk Müller <dmueller@suse.com>
- update to 2023.12.1:
* Dask DataFrames are now much more performant by using a
logical query planner.
* ``read_parquet`` will now infer the Arrow types
``pa.date32()``, ``pa.date64()`` and
``pa.decimal()`` as a ``ArrowDtype`` in pandas. These dtypes
are backed by the original Arrow array, and thus avoid the
conversion to NumPy object.
* This release contains several updates that fix a possible
deadlock introduced in 2023.9.2 and improve the robustness of
P2P-based merging when the cluster is dynamically scaling up.
* The ``distributed.scheduler.pickle`` configuration option is
no longer supported. As of the 2023.4.0 release, ``pickle`` is
used to transmit task graphs, so can no longer be disabled.
We now raise an informative error when
``distributed.scheduler.pickle`` is set to ``False``.
* Update DataFrame page
* Add changelog entry for ``dask-expr`` switch
* [Dask.order] Remove non-runnable leaf nodes from ordering
* Update installation docs
* Fix software environment link in docs
* Avoid converting non-strings to arrow strings for
read_parquet
* Dask.order rewrite using a critical path approach
* Avoid substituting keys that occur multiple times
* Add missing image to docs
* Update landing page
* Make meta check simpler in dispatch
* Pin PR Labeler
* Reorganize docs index a bit
* Avoid ``RecursionError`` when failing to pickle key in
``SpillBuffer`` and using ``tblib=3``
* Allow tasks to override ``is_rootish`` heuristic
* Remove GPU executor (:pr-distributed:`8399`) `Hendrik
Makait`_
* Do not rely on logging for subprocess cluster
* Update gpuCI ``RAPIDS_VER`` to ``24.02``
* Ensure output chunks in P2P rechunking are distributed
homogeneously (:pr-distributed:`8207`) `Florian Jetter`_
* Trivial: fix typo (:pr-distributed:`8395`)
* Sat Dec 02 2023 Dirk Müller <dmueller@suse.com>
- update to 2023.12.0:
* Bokeh 3.3.0 compatibility
* Add ``network`` marker to
``test_pyarrow_filesystem_option_real_data``
* Bump GPU CI to CUDA 11.8 (:pr:`10656`)
* Tokenize ``pandas`` offsets deterministically
* Add tokenize ``pd.NA`` functionality
* Update gpuCI ``RAPIDS_VER`` to ``24.02`` (:pr:`10636`)
* Fix precision handling in ``array.linalg.norm`` (:pr:`10556`)
`joanrue`_
* Add ``axis`` argument to ``DataFrame.clip`` and
``Series.clip`` (:pr:`10616`) `Richard (Rick) Zamora`_
* Update changelog entry for in-memory rechunking (:pr:`10630`)
`Florian Jetter`_
* Fix flaky ``test_resources_reset_after_cancelled_task``
* Bump GPU CI to CUDA 11.8
* Bump ``conda-incubator/setup-miniconda``
* Add debug logs to P2P scheduler plugin
* ``O(1)`` access for ``/info/task/`` endpoint
* Remove stringification from shuffle annotations
* Don't cast ``int`` metrics to ``float``
* Drop asyncio TCP backend
* Add offload support to ``context_meter.add_callback``
* Test that ``sync()`` propagates contextvars
* Fix ``test_statistical_profiling_cycle``
* Replace ``Client.register_plugin`` s ``idempotent`` argument
with ``.idempotent`` attribute on plugins
* Fix test report generation
* Install ``pyarrow-hotfix`` on ``mindeps-pandas`` CI
* Reduce memory usage of scheduler process - optimize
``scheduler.py::TaskState`` class
* Update cuDF test with explicit ``dtype=object``
* Fix ``Cluster`` / ``SpecCluster`` calls to async close
methods
* Thu Nov 16 2023 Ondřej Súkup <mimi.vx@gmail.com>
- Update to 2023.11.0
* Zero-copy P2P Array Rechunking
* Deprecating PyArrow <14.0.1
* Improved PyArrow filesystem for Parquet
* Improve Type Reconciliation in P2P Shuffling
* official support for Python 3.12
* Reduced memory pressure for multi array reductions
* improved P2P shuffling robustness
* Reduced scheduler CPU load for large graphs
* Sun Sep 10 2023 Ben Greiner <code@bnavigator.de>
- Update to 2023.9.1
[#]# Enhancements
* Stricter data type for dask keys (GH#10485) crusaderky
* Special handling for None in DASK_ environment variables
(GH#10487) crusaderky
[#]# Bug Fixes
- Release 2023.9.0
[#]# Bug Fixes
* Remove support for np.int64 in keys (GH#10483) crusaderky
* Fix _partitions dtype in meta for shuffling (GH#10462) Hendrik
Makait
* Don’t use exception hooks to shorten tracebacks (GH#10456)
crusaderky
- Release 2023.8.1
[#]# Enhancements
* Adding support for cgroup v2 to cpu_count (GH#10419) Johan
Olsson
* Support multi-column groupby with sort=True and split_out>1
(GH#10425) Richard (Rick) Zamora
* Add DataFrame.enforce_runtime_divisions method (GH#10404)
Richard (Rick) Zamora
* Enable file mode="x" with a single_file=True for Dask DataFrame
to_csv (GH#10443) Genevieve Buckley
[#]# Bug Fixes
* Fix ValueError when running to_csv in append mode with
single_file as True (GH#10441)
- Release 2023.8.0
[#]# Enhancements
* Fix for make_timeseries performance regression (GH#10428) Irina
Truong
- Release 2023.7.1
* This release updates Dask DataFrame to automatically convert
text data using object data types to string[pyarrow] if
pandas>=2 and pyarrow>=12 are installed. This should result in
significantly reduced memory consumption and increased
computation performance in many workflows that deal with text
data. You can disable this change by setting the
dataframe.convert-string configuration value to False with
dask.config.set({"dataframe.convert-string": False})
[#]# Enhancements
* Convert to pyarrow strings if proper dependencies are installed
(GH#10400) James Bourbeau
* Avoid repartition before shuffle for p2p (GH#10421) Patrick
Hoefler
* API to generate random Dask DataFrames (GH#10392) Irina Truong
* Speed up dask.bag.Bag.random_sample (GH#10356) crusaderky
* Raise helpful ValueError for invalid time units (GH#10408) Nat
Tabris
* Make repartition a no-op when divisions match (divisions
provided as a list) (GH#10395) Nicolas Grandemange
[#]# Bug Fixes
* Use dataframe.convert-string in read_parquet token (GH#10411)
James Bourbeau
* Category dtype is lost when concatenating MultiIndex (GH#10407)
Irina Truong
* Fix FutureWarning: The provided callable... (GH#10405) Irina
Truong
* Enable non-categorical hive-partition columns in read_parquet
(GH#10353) Richard (Rick) Zamora
* concat ignoring DataFrame withouth columns (GH#10359) Patrick
Hoefler
- Release 2023.7.0
[#]# Enhancements
* Catch exceptions when attempting to load CLI entry points
(GH#10380) Jacob Tomlinson
[#]# Bug Fixes
* Fix typo in _clean_ipython_traceback (GH#10385) Alexander
Clausen
* Ensure that df is immutable after from_pandas (GH#10383)
Patrick Hoefler
* Warn consistently for inplace in Series.rename (GH#10313)
Patrick Hoefler
- Release 2023.6.1
[#]# Enhancements
* Remove no longer supported clip_lower and clip_upper (GH#10371)
Patrick Hoefler
* Support DataFrame.set_index(..., sort=False) (GH#10342) Miles
* Cleanup remote tracebacks (GH#10354) Irina Truong
* Add dispatching mechanisms for pyarrow.Table conversion
(GH#10312) Richard (Rick) Zamora
* Choose P2P even if fusion is enabled (GH#10344) Hendrik Makait
* Validate that rechunking is possible earlier in graph
generation (GH#10336) Hendrik Makait
[#]# Bug Fixes
* Fix issue with header passed to read_csv (GH#10355) GALI PREM
SAGAR
* Respect dropna and observed in GroupBy.var and GroupBy.std
(GH#10350) Patrick Hoefler
* Fix H5FD_lock error when writing to hdf with distributed client
(GH#10309) Irina Truong
* Fix for total_mem_usage of bag.map() (GH#10341) Irina Truong
[#]# Deprecations
* Deprecate DataFrame.fillna/Series.fillna with method (GH#10349)
Irina Truong
* Deprecate DataFrame.first and Series.first (GH#10352) Irina
Truong
- Release 2023.6.0
[#]# Enhancements
* Add missing not in predicate support to read_parquet (GH#10320)
Richard (Rick) Zamora
[#]# Bug Fixes
* Fix for incorrect value_counts (GH#10323) Irina Truong
* Update empty describe top and freq values (GH#10319) James
Bourbeau
* Sat Jun 10 2023 ecsos <ecsos@opensuse.org>
- Add %{?sle15_python_module_pythons}
* Mon Jun 05 2023 Steve Kowalik <steven.kowalik@suse.com>
- Tighten bokeh requirement to match distributed.
* Fri May 26 2023 Ben Greiner <code@bnavigator.de>
- Update to 2023.5.1
* This release drops support for Python 3.8. As of this release
Dask supports Python 3.9, 3.10, and 3.11.
[#]# Enhancements
* Drop Python 3.8 support (GH#10295) Thomas Grainger
* Change Dask Bag partitioning scheme to improve cluster
saturation (GH#10294) Jacob Tomlinson
* Generalize dd.to_datetime for GPU-backed collections, introduce
get_meta_library utility (GH#9881) Charles Blackmon-Luca
* Add na_action to DataFrame.map (GH#10305) Patrick Hoefler
* Raise TypeError in DataFrame.nsmallest and DataFrame.nlargest
when columns is not given (GH#10301) Patrick Hoefler
* Improve sizeof for pd.MultiIndex (GH#10230) Patrick Hoefler
* Support duplicated columns in a bunch of DataFrame methods
(GH#10261) Patrick Hoefler
* Add numeric_only support to DataFrame.idxmin and
DataFrame.idxmax (GH#10253) Patrick Hoefler
* Implement numeric_only support for DataFrame.quantile
(GH#10259) Patrick Hoefler
* Add support for numeric_only=False in DataFrame.std (GH#10251)
Patrick Hoefler
* Implement numeric_only=False for GroupBy.cumprod and
GroupBy.cumsum (GH#10262) Patrick Hoefler
* Implement numeric_only for skew and kurtosis (GH#10258) Patrick
Hoefler
* mask and where should accept a callable (GH#10289) Irina Truong
* Fix conversion from Categorical to pa.dictionary in
read_parquet (GH#10285) Patrick Hoefler
[#]# Bug Fixes
* Spurious config on nested annotations (GH#10318) crusaderky
* Fix rechunking behavior for dimensions with known and unknown
chunk sizes (GH#10157) Hendrik Makait
* Enable drop to support mismatched partitions (GH#10300) James
Bourbeau
* Fix divisions construction for to_timestamp (GH#10304) Patrick
Hoefler
* pandas ExtensionDtype raising in Series reduction operations
(GH#10149) Patrick Hoefler
* Fix regression in da.random interface (GH#10247) Eray Aslan
* da.coarsen doesn’t trim an empty chunk in meta (GH#10281) Irina
Truong
* Fix dtype inference for engine="pyarrow" in read_csv (GH#10280)
Patrick Hoefler
- Release 2023.5.0
[#]# Enhancements
* Implement numeric_only=False for GroupBy.corr and GroupBy.cov
(GH#10264) Patrick Hoefler
* Add support for numeric_only=False in DataFrame.var (GH#10250)
Patrick Hoefler
* Add numeric_only support to DataFrame.mode (GH#10257) Patrick
Hoefler
* Add DataFrame.map to dask.DataFrame API (GH#10246) Patrick
Hoefler
* Adjust for DataFrame.applymap deprecation and all NA concat
behaviour change (GH#10245) Patrick Hoefler
* Enable numeric_only=False for DataFrame.count (GH#10234)
Patrick Hoefler
* Disallow array input in mask/where (GH#10163) Irina Truong
* Support numeric_only=True in GroupBy.corr and GroupBy.cov
(GH#10227) Patrick Hoefler
* Add numeric_only support to GroupBy.median (GH#10236) Patrick
Hoefler
* Support mimesis=9 in dask.datasets (GH#10241) James Bourbeau
* Add numeric_only support to min, max and prod (GH#10219)
Patrick Hoefler
* Add numeric_only=True support for GroupBy.cumsum and
GroupBy.cumprod (GH#10224) Patrick Hoefler
* Add helper to unpack numeric_only keyword (GH#10228) Patrick
Hoefler
[#]# Bug Fixes
* Fix clone + from_array failure (GH#10211) crusaderky
* Fix dataframe reductions for ea dtypes (GH#10150) Patrick
Hoefler
* Avoid scalar conversion deprecation warning in numpy=1.25
(GH#10248) James Bourbeau
* Make sure transform output has the same index as input
(GH#10184) Irina Truong
* Fix corr and cov on a single-row partition (GH#9756) Irina
Truong
* Fix test_groupby_numeric_only_supported and
test_groupby_aggregate_categorical_observed upstream errors
(GH#10243) Irina Truong
- Release 2023.4.1
[#]# Enhancements
* Implement numeric_only support for DataFrame.sum (GH#10194)
Patrick Hoefler
* Add support for numeric_only=True in GroupBy operations
(GH#10222) Patrick Hoefler
* Avoid deep copy in DataFrame.__setitem__ for pandas 1.4 and up
(GH#10221) Patrick Hoefler
* Avoid calling Series.apply with _meta_nonempty (GH#10212)
Patrick Hoefler
* Unpin sqlalchemy and fix compatibility issues (GH#10140)
Patrick Hoefler
[#]# Bug Fixes
* Partially revert default client discovery (GH#10225) Florian
Jetter
* Support arrow dtypes in Index meta creation (GH#10170) Patrick
Hoefler
* Repartitioning raises with extension dtype when truncating
floats (GH#10169) Patrick Hoefler
* Adjust empty Index from fastparquet to object dtype (GH#10179)
Patrick Hoefler
- Release 2023.4.0
[#]# Enhancements
* Override old default values in update_defaults (GH#10159) Gabe
Joseph
* Add a CLI command to list and get a value from dask config
(GH#9936) Irina Truong
* Handle string-based engine argument to read_json (GH#9947)
Richard (Rick) Zamora
* Avoid deprecated GroupBy.dtypes (GH#10111) Irina Truong
[#]# Bug Fixes
* Revert grouper-related changes (GH#10182) Irina Truong
* GroupBy.cov raising for non-numeric grouping column (GH#10171)
Patrick Hoefler
* Updates for Index supporting numpy numeric dtypes (GH#10154)
Irina Truong
* Preserve dtype for partitioning columns when read with pyarrow
(GH#10115) Patrick Hoefler
* Fix annotations for to_hdf (GH#10123) Hendrik Makait
* Handle None column name when checking if columns are all
numeric (GH#10128) Lawrence Mitchell
* Fix valid_divisions when passed a tuple (GH#10126) Brian
Phillips
* Maintain annotations in DataFrame.categorize (GH#10120) Hendrik
Makait
* Fix handling of missing min/max parquet statistics during
filtering (GH#10042) Richard (Rick) Zamora
[#]# Deprecations
* Deprecate use_nullable_dtypes= and add dtype_backend=
(GH#10076) Irina Truong
* Deprecate convert_dtype in Series.apply (GH#10133) Irina Truong
- Drop dask-pr10042-parquetstats.patch
* Tue Apr 04 2023 Ben Greiner <code@bnavigator.de>
- Drop python38 test flavor
* Thu Mar 30 2023 Ben Greiner <code@bnavigator.de>
- Enable pyarrow in the [complete] extra
* Mon Mar 27 2023 Ben Greiner <code@bnavigator.de>
- Update to 2023.3.2
[#]# Enhancements
* Deprecate observed=False for groupby with categoricals
(GH#10095) Irina Truong
* Deprecate axis= for some groupby operations (GH#10094) James
Bourbeau
* The axis keyword in DataFrame.rolling/Series.rolling is
deprecated (GH#10110) Irina Truong
* DataFrame._data deprecation in pandas (GH#10081) Irina Truong
* Use importlib_metadata backport to avoid CLI UserWarning
(GH#10070) Thomas Grainger
* Port option parsing logic from dask.dataframe.read_parquet to
to_parquet (GH#9981) Anton Loukianov
[#]# Bug Fixes
* Avoid using dd.shuffle in groupby-apply (GH#10043) Richard
(Rick) Zamora
* Enable null hive partitions with pyarrow parquet engine
(GH#10007) Richard (Rick) Zamora
* Support unknown shapes in *_like functions (GH#10064) Doug
Davis
[#]# Maintenance
* Restore Entrypoints compatibility (GH#10113) Jacob Tomlinson
* Allow pyarrow build to continue on failures (GH#10097) James
Bourbeau
* Fix test_set_index_on_empty with pyarrow strings active
(GH#10054) Irina Truong
* Temporarily skip pyarrow_compat tests with pandas 2.0
(GH#10063) James Bourbeau
* Sun Mar 26 2023 Ben Greiner <code@bnavigator.de>
- Add dask-pr10042-parquetstats.patch gh#dask/dask#10042
- Enable python311 build: numba is not a strict requirement
* Sat Mar 11 2023 Ben Greiner <code@bnavigator.de>
- Update to v2023.3.1
[#]# Enhancements
* Support pyarrow strings in MultiIndex (GH#10040) Irina Truong
* Improved support for pyarrow strings (GH#10000) Irina Truong
* Fix flaky RuntimeWarning during array reductions (GH#10030)
James Bourbeau
* Extend complete extras (GH#10023) James Bourbeau
* Raise an error with dataframe.convert_string=True and pandas<2.0
(GH#10033) Irina Truong
* Rename shuffle/rechunk config option/kwarg to method (GH#10013)
James Bourbeau
* Add initial support for converting pandas extension dtypes to
arrays (GH#10018) James Bourbeau
* Remove randomgen support (GH#9987) Eray Aslan
[#]# Bug Fixes
* Skip rechunk when rechunking to the same chunks with unknown
sizes (GH#10027) Hendrik Makait
* Custom utility to convert parquet filters to pyarrow expression
(GH#9885) Richard (Rick) Zamora
* Consider numpy scalars and 0d arrays as scalars when padding
(GH#9653) Justus Magin
* Fix parquet overwrite behavior after an adaptive read_parquet
operation (GH#10002) Richard (Rick) Zamora
[#]# Maintenance
* Remove stale hive-partitioning code from pyarrow parquet engine
(GH#10039) Richard (Rick) Zamora
* Increase minimum supported pyarrow to 7.0 (GH#10024) James
Bourbeau
* Revert “Prepare drop packunpack (GH#9994) (GH#10037) Florian
Jetter
* Have codecov wait for more builds before reporting (GH#10031)
James Bourbeau
* Prepare drop packunpack (GH#9994) Florian Jetter
* Add CI job with pyarrow strings turned on (GH#10017) James
Bourbeau
* Fix test_groupby_dropna_with_agg for pandas 2.0 (GH#10001) Irina
Truong
* Fix test_pickle_roundtrip for pandas 2.0 (GH#10011) James
Bourbeau
* Wed Mar 08 2023 Benjamin Greiner <code@bnavigator.de>
- Update dependencies
- Skip one more test failing because of missing pyarrow
* Wed Mar 08 2023 Dirk Müller <dmueller@suse.com>
- update to 2023.3.0:
* Bag must not pick p2p as shuffle default (:pr:`10005`)
* Minor follow-up to P2P by default (:pr:`10008`) `James
Bourbeau`_
* Add minimum version to optional ``jinja2`` dependency
(:pr:`9999`) `Charles Blackmon-Luca`_
* Enable P2P shuffling by default
* P2P rechunking
* Efficient `dataframe.convert_string` support for
`read_parquet`
* Allow p2p shuffle kwarg for DataFrame merges
* Change ``split_row_groups`` default to "infer"
* Add option for converting string data to use ``pyarrow``
strings
* Add support for multi-column ``sort_values``
* ``Generator`` based random-number generation in``dask.array``
* Support ``numeric_only`` for simple groupby aggregations for
``pandas`` 2.0 compatibility
* Fix profilers plot not being aligned to context manager enter
time
* Relax dask.dataframe assert_eq type checks
* Restore ``describe`` compatibility for ``pandas`` 2.0
* Improving deploying Dask docs
* More docs for ``DataFrame.partitions``
* Update docs with more information on default Delayed
scheduler
* Deployment Considerations documentation
* Temporarily rerun flaky tests
* Update parsing of FULL_RAPIDS_VER/FULL_UCX_PY_VER
* Increase minimum supported versions to ``pandas=1.3`` and
``numpy=1.21``
* Fix ``std`` to work with ``numeric_only`` for ``pandas`` 2.0
* Temporarily ``xfail``
``test_roundtrip_partitioned_pyarrow_dataset`` (:pr:`9977`)
* Fix copy on write failure in `test_idxmaxmin` (:pr:`9944`)
* Bump ``pre-commit`` versions (:pr:`9955`) `crusaderky`_
* Fix ``test_groupby_unaligned_index`` for ``pandas`` 2.0
* Un-``xfail`` ``test_set_index_overlap_2`` for ``pandas`` 2.0
* Fix ``test_merge_by_index_patterns`` for ``pandas`` 2.0
* Bump jacobtomlinson/gha-find-replace from 2 to 3 (:pr:`9953`)
* Fix ``test_rolling_agg_aggregate`` for ``pandas`` 2.0
compatibility
* Bump ``black`` to ``23.1.0``
* Run GPU tests on python 3.8 & 3.10 (:pr:`9940`)
* Fix ``test_to_timestamp`` for ``pandas`` 2.0 (:pr:`9932`)
* Fix an error with ``groupby`` ``value_counts`` for ``pandas``
2.0 compatibility
* Config converter: replace all dashes with underscores
* Sun Feb 26 2023 Ben Greiner <code@bnavigator.de>
- Prepare test multiflavors for python311, but skip python311
* Numba is not ready for python 3.11 yet gh#numba/numba#8304
* Fri Feb 17 2023 Ben Greiner <code@bnavigator.de>
- Update to 2023.2.0
[#]# Enhancements
* Update numeric_only default in quantile for pandas 2.0
(GH#9854) Irina Truong
* Make repartition a no-op when divisions match (GH#9924) James
Bourbeau
* Update datetime_is_numeric behavior in describe for pandas 2.0
(GH#9868) Irina Truong
* Update value_counts to return correct name in pandas 2.0
(GH#9919) Irina Truong
* Support new axis=None behavior in pandas 2.0 for certain
reductions (GH#9867) James Bourbeau
* Filter out all-nan RuntimeWarning at the chunk level for nanmin
and nanmax (GH#9916) Julia Signell
* Fix numeric meta_nonempty index creation for pandas 2.0
(GH#9908) James Bourbeau
* Fix DataFrame.info() tests for pandas 2.0 (GH#9909) James
Bourbeau
[#]# Bug Fixes
* Fix GroupBy.value_counts handling for multiple groupby columns
(GH#9905) Charles Blackmon-Luca
* Sun Feb 05 2023 Ben Greiner <code@bnavigator.de>
- Update to 2023.1.1
[#]# Enhancements
* Add to_backend method to Array and _Frame (GH#9758) Richard
(Rick) Zamora
* Small fix for timestamp index divisions in pandas 2.0 (GH#9872)
Irina Truong
* Add numeric_only to DataFrame.cov and DataFrame.corr (GH#9787)
James Bourbeau
* Fixes related to group_keys default change in pandas 2.0
(GH#9855) Irina Truong
* infer_datetime_format compatibility for pandas 2.0 (GH#9783)
James Bourbeau
[#]# Bug Fixes
* Fix serialization bug in BroadcastJoinLayer (GH#9871) Richard
(Rick) Zamora
* Satisfy broadcast argument in DataFrame.merge (GH#9852) Richard
(Rick) Zamora
* Fix pyarrow parquet columns statistics computation (GH#9772)
aywandji
[#]# Documentation
* Fix “duplicate explicit target name” docs warning (GH#9863)
Chiara Marmo
* Fix code formatting issue in “Defining a new collection
backend” docs (GH#9864) Chiara Marmo
* Update dashboard documentation for memory plot (GH#9768) Jayesh
Manani
* Add docs section about no-worker tasks (GH#9839) Florian Jetter
[#]# Maintenance
* Additional updates for detecting a distributed scheduler
(GH#9890) James Bourbeau
* Update gpuCI RAPIDS_VER to 23.04 (GH#9876)
* Reverse precedence between collection and distributed default
(GH#9869) Florian Jetter
* Update xarray-contrib/issue-from-pytest-log to version 1.2.6
(GH#9865) James Bourbeau
* Dont require dask config shuffle default (GH#9826) Florian
Jetter
* Un-xfail datetime64 Parquet roundtripping tests for new
fastparquet (GH#9811) James Bourbeau
* Add option to manually run upstream CI build (GH#9853) James
Bourbeau
* Use custom timeout in CI builds (GH#9844) James Bourbeau
* Remove kwargs from make_blockwise_graph (GH#9838) Florian
Jetter
* Ignore warnings on persist call in
test_setitem_extended_API_2d_mask (GH#9843) Charles
Blackmon-Luca
* Fix running S3 tests locally (GH#9833) James Bourbeau
- Release 2023.1.0
[#]# Enhancements
* Use distributed default clients even if no config is set
(GH#9808) Florian Jetter
* Implement ma.where and ma.nonzero (GH#9760) Erik Holmgren
* Update zarr store creation functions (GH#9790) Ryan Abernathey
* iteritems compatibility for pandas 2.0 (GH#9785) James Bourbeau
* Accurate sizeof for pandas string[python] dtype (GH#9781)
crusaderky
* Deflate sizeof() of duplicate references to pandas object types
(GH#9776) crusaderky
* GroupBy.__getitem__ compatibility for pandas 2.0 (GH#9779)
James Bourbeau
* append compatibility for pandas 2.0 (GH#9750) James Bourbeau
* get_dummies compatibility for pandas 2.0 (GH#9752) James
Bourbeau
* is_monotonic compatibility for pandas 2.0 (GH#9751) James
Bourbeau
* numpy=1.24 compatability (GH#9777) James Bourbeau
[#]# Documentation
* Remove duplicated encoding kwarg in docstring for to_json
(GH#9796) Sultan Orazbayev
* Mention SubprocessCluster in LocalCluster documentation
(GH#9784) Hendrik Makait
* Move Prometheus docs to dask/distributed (GH#9761) crusaderky
[#]# Maintenance
* Temporarily ignore RuntimeWarning in
test_setitem_extended_API_2d_mask (GH#9828) James Bourbeau
* Fix flaky test_threaded.py::test_interrupt (GH#9827) Hendrik
Makait
* Update xarray-contrib/issue-from-pytest-log in upstream report
(GH#9822) James Bourbeau
* pip install dask on gpuCI builds (GH#9816) Charles
Blackmon-Luca
* Bump actions/checkout from 3.2.0 to 3.3.0 (GH#9815)
* Resolve sqlalchemy import failures in mindeps testing (GH#9809)
Charles Blackmon-Luca
* Ignore sqlalchemy.exc.RemovedIn20Warning (GH#9801) Thomas
Grainger
* xfail datetime64 Parquet roundtripping tests for pandas 2.0
(GH#9786) James Bourbeau
* Remove sqlachemy 1.3 compatibility (GH#9695) McToel
* Reduce size of expected DoK sparse matrix (GH#9775) Elliott
Sales de Andrade
* Remove executable flag from dask/dataframe/io/orc/utils.py
(GH#9774) Elliott Sales de Andrade
- Drop dask-pr9777-np1.24.patch
* Mon Jan 02 2023 Ben Greiner <code@bnavigator.de>
- Update to 2022.12.1
[#]# Enhancements
* Support dtype_backend="pandas|pyarrow" configuration (GH#9719)
James Bourbeau
* Support cupy.ndarray to cudf.DataFrame dispatching in
dask.dataframe (GH#9579) Richard (Rick) Zamora
* Make filesystem-backend configurable in read_parquet (GH#9699)
Richard (Rick) Zamora
* Serialize all pyarrow extension arrays efficiently (GH#9740)
James Bourbeau
[#]# Bug Fixes
* Fix bug when repartitioning with tz-aware datetime index
(GH#9741) James Bourbeau
* Partial functions in aggs may have arguments (GH#9724) Irina
Truong
* Add support for simple operation with pyarrow-backed extension
dtypes (GH#9717) James Bourbeau
* Rename columns correctly in case of SeriesGroupby (GH#9716)
Lawrence Mitchell
[#]# Maintenance
* Add zarr to Python 3.11 CI environment (GH#9771) James Bourbeau
* Add support for Python 3.11 (GH#9708) Thomas Grainger
* Bump actions/checkout from 3.1.0 to 3.2.0 (GH#9753)
* Avoid np.bool8 deprecation warning (GH#9737) James Bourbeau
* Make sure dev packages aren’t overwritten in upstream CI build
(GH#9731) James Bourbeau
* Avoid adding data.h5 and mydask.html files during tests
(GH#9726) Thomas Grainger
- Release 2022.12.0
[#]# Enhancements
* Remove statistics-based set_index logic from read_parquet
(GH#9661) Richard (Rick) Zamora
* Add support for use_nullable_dtypes to dd.read_parquet
(GH#9617) Ian Rose
* Fix map_overlap in order to accept pandas arguments (GH#9571)
Fabien Aulaire
* Fix pandas 1.5+ FutureWarning in .str.split(..., expand=True)
(GH#9704) Jacob Hayes
* Enable column projection for groupby slicing (GH#9667) Richard
(Rick) Zamora
* Support duplicate column cum-functions (GH#9685) Ben
* Improve error message for failed backend dispatch call
(GH#9677) Richard (Rick) Zamora
[#]# Bug Fixes
* Revise meta creation in arrow parquet engine (GH#9672) Richard
(Rick) Zamora
* Fix da.fft.fft for array-like inputs (GH#9688) James Bourbeau
* Fix groupby -aggregation when grouping on an index by name
(GH#9646) Richard (Rick) Zamora
[#]# Maintenance
* Avoid PytestReturnNotNoneWarning in test_inheriting_class
(GH#9707) Thomas Grainger
* Fix flaky test_dataframe_aggregations_multilevel (GH#9701)
Richard (Rick) Zamora
* Bump mypy version (GH#9697) crusaderky
* Disable dashboard in test_map_partitions_df_input (GH#9687)
James Bourbeau
* Use latest xarray-contrib/issue-from-pytest-log in upstream
build (GH#9682) James Bourbeau
* xfail ttest_1samp for upstream scipy (GH#9670) James Bourbeau
* Update gpuCI RAPIDS_VER to 23.02 (GH#9678)
- Add dask-pr9777-np1.24.patch gh#dask/dask#9777
- Move to PEP517 build
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Fabrice Bellet, Mon Mar 2 23:19:36 2026