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| Name: python311-dask-complete | Distribution: SUSE Linux Framework One |
| Version: 2023.12.0 | Vendor: SUSE LLC <https://www.suse.com/> |
| Release: slfo.1.1.4 | Build date: Sat Dec 2 15:09:52 2023 |
| Group: Unspecified | Build host: reproducible |
| Size: 1531 | Source RPM: python-dask-2023.12.0-slfo.1.1.4.src.rpm |
| Packager: https://www.suse.com/ | |
| Url: https://dask.org | |
| Summary: All dask components | |
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 pulls in all the optional dask components.
BSD-3-Clause
* Sat Dec 02 2023 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 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 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@opensuse.org
- Add %{?sle15_python_module_pythons}
* Mon Jun 05 2023 steven.kowalik@suse.com
- Tighten bokeh requirement to match distributed.
* Fri May 26 2023 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 code@bnavigator.de
- Drop python38 test flavor
* Thu Mar 30 2023 code@bnavigator.de
- Enable pyarrow in the [complete] extra
* Mon Mar 27 2023 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 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 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 code@bnavigator.de
- Update dependencies
- Skip one more test failing because of missing pyarrow
* Wed Mar 08 2023 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 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 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 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 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
* Mon Nov 21 2022 code@bnavigator.de
- Go back to bokeh 2.4
* gh#dask/dask#9659
* we provide a legacy bokeh2 instead
* Sun Nov 20 2022 code@bnavigator.de
- Update to version 2022.11.1
[#]# Enhancements
* Restrict bokeh=3 support (GH#9673) Gabe Joseph (ignored in rpm,
fixed by bokek 3.0.2, see gh#dask/dask#9659)
* Updates for fastparquet evolution (GH#9650) Martin Durant
[#]# Maintenance
* Revert importlib.metadata workaround (GH#9658) James Bourbeau
- Release 2022.11.0
[#]# Enhancements
* Generalize from_dict implementation to allow usage from other
backends (GH#9628) GALI PREM SAGAR
[#]# Bug Fixes
* Avoid pandas constructors in dask.dataframe.core (GH#9570)
Richard (Rick) Zamora
* Fix sort_values with Timestamp data (GH#9642) James Bourbeau
* Generalize array checking and remove pd.Index call in
_get_partitions (GH#9634) Benjamin Zaitlen
* Fix read_csv behavior for header=0 and names (GH#9614) Richard
(Rick) Zamora
[#]# Maintenance
* Allow bokeh=3 (GH#9659) James Bourbeau
* Add pre-commit to catch breakpoint() (GH#9638) James Bourbeau
* Bump xarray-contrib/issue-from-pytest-log from 1.1 to 1.2
(GH#9635)
* Remove blosc references (GH#9625) Naty Clementi
* Harden test_repartition_npartitions (GH#9585) Richard (Rick)
Zamora
- Release 2022.10.2
* This was a hotfix and has no changes in this repository. The
necessary fix was in dask/distributed, but we decided to bump
this version number for consistency.
- Release 2022.10.1
[#]# Enhancements
* Enable named aggregation syntax (GH#9563) ChrisJar
* Add extension dtype support to set_index (GH#9566) James
Bourbeau
* Redesigning the array HTML repr for clarity (GH#9519) Shingo
OKAWA
[#]# Bug Fixes
* Fix merge with emtpy left DataFrame (GH#9578) Ian Rose
[#]# Maintenance
* Require Click 7.0+ in Dask (GH#9595) John A Kirkham
* Temporarily restrict bokeh<3 (GH#9607) James Bourbeau
* Resolve importlib-related failures in upstream CI (GH#9604)
Charles Blackmon-Luca
* Remove setuptools host dep, add CLI entrypoint (GH#9600)
Charles Blackmon-Luca
* More Backend dispatch class type annotations (GH#9573) Ian Rose
- Create a -test subpackage in order to avoid rpmlint errors
- Drop extra conftest: included in sdist.
* Fri Oct 21 2022 code@bnavigator.de
- Update to version 2022.10.0
* Backend library dispatching for IO in Dask-Array and
Dask-DataFrame (GH#9475) Richard (Rick) Zamora
* Add new CLI that is extensible (GH#9283) Doug Davis
* Groupby median (GH#9516) Ian Rose
* Fix array copy not being a no-op (GH#9555) David Hoese
* Add support for string timedelta in map_overlap (GH#9559)
Nicolas Grandemange
* Shuffle-based groupby for single functions (GH#9504) Ian Rose
* Make datetime.datetime tokenize idempotantly (GH#9532) Martin
Durant
* Support tokenizing datetime.time (GH#9528) Tim Paine
* Avoid race condition in lazy dispatch registration (GH#9545)
James Bourbeau
* Do not allow setitem to np.nan for int dtype (GH#9531) Doug
Davis
* Stable demo column projection (GH#9538) Ian Rose
* Ensure pickle-able binops in delayed (GH#9540) Ian Rose
* Fix project CSV columns when selecting (GH#9534) Martin Durant
* Update Parquet best practice (GH#9537) Matthew Rocklin
- move -all metapackage to -complete, mirroring upstream's
[complete] extra.
* Fri Sep 30 2022 arun@gmx.de
- update to version 2022.9.2:
* Enhancements
+ Remove factorization logic from array auto chunking (:pr:`9507`)
`James Bourbeau`_
* Documentation
+ Add docs on running Dask in a standalone Python script
(:pr:`9513`) `James Bourbeau`_
+ Clarify custom-graph multiprocessing example (:pr:`9511`)
`nouman`_
* Maintenance
+ Groupby sort upstream compatibility (:pr:`9486`) `Ian Rose`_
* Fri Sep 16 2022 arun@gmx.de
- update to version 2022.9.1:
* New Features
+ Add "DataFrame" and "Series" "median" methods (:pr:`9483`)
`James Bourbeau`_
* Enhancements
+ Shuffle "groupby" default (:pr:`9453`) `Ian Rose`_
+ Filter by list (:pr:`9419`) `Greg Hayes`_
+ Added "distributed.utils.key_split" functionality to
"dask.utils.key_split" (:pr:`9464`) `Luke Conibear`_
* Bug Fixes
+ Fix overlap so that "set_index" doesn't drop rows (:pr:`9423`)
`Julia Signell`_
+ Fix assigning pandas "Series" to column when "ddf.columns.min()"
raises (:pr:`9485`) `Erik Welch`_
+ Fix metadata comparison "stack_partitions" (:pr:`9481`) `James
Bourbeau`_
+ Provide default for "split_out" (:pr:`9493`) `Lawrence
Mitchell`_
* Deprecations
+ Allow "split_out" to be "None", which then defaults to "1" in
"groupby().aggregate()" (:pr:`9491`) `Ian Rose`_
* Documentation
+ Fixing "enforce_metadata" documentation, not checking for dtypes
(:pr:`9474`) `Nicolas Grandemange`_
+ Fix "it's" --> "its" typo (:pr:`9484`) `Nat Tabris`_
* Maintenance
+ Workaround for parquet writing failure using some datetime
series but not others (:pr:`9500`) `Ian Rose`_
+ Filter out "numeric_only" warnings from "pandas" (:pr:`9496`)
`James Bourbeau`_
+ Avoid "set_index(..., inplace=True)" where not necessary
(:pr:`9472`) `James Bourbeau`_
+ Avoid passing groupby key list of length one (:pr:`9495`) `James
Bourbeau`_
+ Update "test_groupby_dropna_cudf" based on "cudf" support for
"group_keys" (:pr:`9482`) `James Bourbeau`_
+ Remove "dd.from_bcolz" (:pr:`9479`) `James Bourbeau`_
+ Added "flake8-bugbear" to "pre-commit" hooks (:pr:`9457`) `Luke
Conibear`_
+ Bind loop variables in function definitions ("B023")
(:pr:`9461`) `Luke Conibear`_
+ Added assert for comparisons ("B015") (:pr:`9459`) `Luke
Conibear`_
+ Set top-level default shell in CI workflows (:pr:`9469`) `James
Bourbeau`_
+ Removed unused loop control variables ("B007") (:pr:`9458`)
`Luke Conibear`_
+ Replaced "getattr" calls for constant attributes ("B009")
(:pr:`9460`) `Luke Conibear`_
+ Pin "libprotobuf" to allow nightly "pyarrow" in the upstream CI
build (:pr:`9465`) `Joris Van den Bossche`_
+ Replaced mutable data structures for default arguments ("B006")
(:pr:`9462`) `Luke Conibear`_
+ Changed "flake8" mirror and updated version (:pr:`9456`) `Luke
Conibear`_
* Sat Sep 10 2022 arun@gmx.de
- update to version 2022.9.0:
* Enhancements
+ Enable automatic column projection for "groupby" aggregations
(:pr:`9442`) `Richard (Rick) Zamora`_
+ Accept superclasses in NEP-13/17 dispatching (:pr:`6710`) `Gabe
Joseph`_
* Bug Fixes
+ Rename "by" columns internally for cumulative operations on the
same "by" columns (:pr:`9430`) `Pavithra Eswaramoorthy`_
+ Fix "get_group" with categoricals (:pr:`9436`) `Pavithra
Eswaramoorthy`_
+ Fix caching-related "MaterializedLayer.cull" performance
regression (:pr:`9413`) `Richard (Rick) Zamora`_
* Documentation
+ Add maintainer documentation page (:pr:`9309`) `James Bourbeau`_
* Maintenance
+ Revert skipped fastparquet test (:pr:`9439`) `Pavithra
Eswaramoorthy`_
+ "tmpfile" does not end files with period on empty extension
(:pr:`9429`) `Hendrik Makait`_
+ Skip failing fastparquet test with latest release (:pr:`9432`)
`James Bourbeau`_
* Thu Sep 01 2022 steven.kowalik@suse.com
- Update to 2022.8.1:
* Implement ma.*_like functions (:pr:`9378`) `Ruth Comer`_
* Fuse compatible annotations (:pr:`9402`) `Ian Rose`_
* Shuffle-based groupby aggregation for high-cardinality groups (:pr:`9302`)
`Richard (Rick) Zamora`_
* Unpack namedtuple (:pr:`9361`) `Hendrik Makait`_
* Fix SeriesGroupBy cumulative functions with axis=1 (:pr:`9377`)
`Pavithra Eswaramoorthy`_
* Sparse array reductions (:pr:`9342`) `Ian Rose`_
* Fix make_meta while using categorical column with index (:pr:`9348`)
`Pavithra Eswaramoorthy`_
* Don't allow incompatible keywords in DataFrame.dropna (:pr:`9366`)
`Naty Clementi`_
* Make set_index handle entirely empty dataframes (:pr:`8896`)
`Julia Signell`_
* Improve dataclass handling in unpack_collections (:pr:`9345`)
`Hendrik Makait`_
* Fix bag sampling when there are some smaller partitions (:pr:`9349`)
`Ian Rose`_
* Add support for empty partitions to da.min/da.max functions (:pr:`9268`)
`geraninam`_
* Use entry_points utility in sizeof (:pr:`9390`) `James Bourbeau`_
* Add entry_points compatibility utility (:pr:`9388`) `Jacob Tomlinson`_
* Upload environment file artifact for each CI build (:pr:`9372`)
`James Bourbeau`_
* Remove werkzeug pin in CI (:pr:`9371`) `James Bourbeau`_
* Fix type annotations for dd.from_pandas and dd.from_delayed (:pr:`9362`)
`Jordan Yap`_
* Ensure make_meta doesn't hold ref to data (:pr:`9354`) `Jim Crist-Harif`_
* Revise divisions logic in from_pandas (:pr:`9221`) `Richard (Rick) Zamora`_
* Warn if user sets index with existing index (:pr:`9341`) `Julia Signell`_
* Add keepdims keyword for da.average (:pr:`9332`) `Ruth Comer`_
* Change repr methods to avoid Layer materialization (:pr:`9289`)
`Richard (Rick) Zamora`_
* Make sure order kwarg will not crash the astype method (:pr:`9317`)
`Genevieve Buckley`_
* Fix bug for cumsum on cupy chunked dask arrays (:pr:`9320`)
`Genevieve Buckley`_
* Match input and output structure in _sample_reduce (:pr:`9272`)
`Pavithra Eswaramoorthy`_
* Include meta in array serialization (:pr:`9240`) `Frédéric BRIOL`_
* Fix Index.memory_usage (:pr:`9290`) `James Bourbeau`_
* Fix division calculation in dask.dataframe.io.from_dask_array (:pr:`9282`)
`Jordan Yap`_
* Switch js-yaml for yaml.js in config converter (:pr:`9306`)
`Jacob Tomlinson`_
* Update da.linalg.solve for SciPy 1.9.0 compatibility (:pr:`9350`)
`Pavithra Eswaramoorthy`_
* Update test_getitem_avoids_large_chunks_missing (:pr:`9347`)
`Pavithra Eswaramoorthy`_
* Import loop_in_thread fixture in tests (:pr:`9337`) `James Bourbeau`_
* Temporarily xfail test_solve_sym_pos (:pr:`9336`) `Pavithra Eswaramoorthy`_
* Update gpuCI RAPIDS_VER to 22.10 (:pr:`9314`)
* Return Dask array if all axes are squeezed (:pr:`9250`)
`Pavithra Eswaramoorthy`_
* Make cycle reported by toposort shorter (:pr:`9068`) `Erik Welch`_
* Unknown chunk slicing - raise informative error (:pr:`9285`)
`Naty Clementi`_
* Fix bug in HighLevelGraph.cull (:pr:`9267`) `Richard (Rick) Zamora`_
* Sort categories (:pr:`9264`) `Pavithra Eswaramoorthy`_
* Use max (instead of sum) for calculating warnsize (:pr:`9235`)
`Pavithra Eswaramoorthy`_
* Fix bug when filtering on partitioned column with pyarrow (:pr:`9252`)
`Richard (Rick) Zamora`_
* Add type annotations to dd.from_pandas and dd.from_delayed (:pr:`9237`)
`Michael Milton`_
* Update test_plot_multiple for upcoming bokeh release (:pr:`9261`)
`James Bourbeau`_
* Add typing to common array properties (:pr:`9255`) `Illviljan`_
* Mon Jul 11 2022 arun@gmx.de
- update to version 2022.7.0:
* Enhancements
+ Support "pathlib.PurePath" in "normalize_token" (:pr:`9229`)
`Angus Hollands`_
+ Add "AttributeNotImplementedError" for properties so IPython
glob search works (:pr:`9231`) `Erik Welch`_
+ "map_overlap": multiple dataframe handling (:pr:`9145`) `Fabien
Aulaire`_
+ Read entrypoints in "dask.sizeof" (:pr:`7688`) `Angus Hollands`_
* Bug Fixes
+ Fix "TypeError: 'Serialize' object is not subscriptable" when
writing parquet dataset with "Client(processes=False)"
(:pr:`9015`) `Lucas Miguel Ponce`_
+ Correct dtypes when "concat" with an empty dataframe
(:pr:`9193`) `Pavithra Eswaramoorthy`_
* Documentation
+ Highlight note about persist (:pr:`9234`) `Pavithra
Eswaramoorthy`_
+ Update release-procedure to include more detail and helpful
commands (:pr:`9215`) `Julia Signell`_
+ Better SEO for Futures and Dask vs. Spark pages (:pr:`9217`)
`Sarah Charlotte Johnson`_
* Maintenance
+ Use "math.prod" instead of "np.prod" on lists, tuples, and iters
(:pr:`9232`) `crusaderky`_
+ Only import IPython if type checking (:pr:`9230`) `Florian
Jetter`_
+ Tougher mypy checks (:pr:`9206`) `crusaderky`_
* Fri Jun 24 2022 code@bnavigator.de
- Update to to 2022.6.1
* Enhancements
- Dask in pyodide (GH#9053) Ian Rose
- Create dask.utils.show_versions (GH#9144) Sultan Orazbayev
- Better error message for unsupported numpy operations on
dask.dataframe objects. (GH#9201) Julia Signell
- Add allow_rechunk kwarg to dask.array.overlap function
(GH#7776) Genevieve Buckley
- Add minutes and hours to dask.utils.format_time (GH#9116)
Matthew Rocklin
- More retries when writing parquet to remote filesystem
(GH#9175) Ian Rose
* Bug Fixes
- Timedelta deterministic hashing (GH#9213) Fabien Aulaire
- Enum deterministic hashing (GH#9212) Fabien Aulaire
- shuffle_group(): avoid converting to arrays (GH#9157) Mads R.
B. Kristensen
* Deprecations
- Deprecate extra format_time utility (GH#9184) James Bourbeau
- Release 2022.6.0
* Enhancements
- Add feature to show names of layer dependencies in HLG
JupyterLab repr (GH#9081) Angelos Omirolis
- Add arrow schema extraction dispatch (GH#9169) GALI PREM
SAGAR
- Add sort_results argument to assert_eq (GH#9130) Pavithra
Eswaramoorthy
- Add weeks to parse_timedelta (GH#9168) Matthew Rocklin
- Warn that cloudpickle is not always deterministic (GH#9148)
Pavithra Eswaramoorthy
- Switch parquet default engine (GH#9140) Jim Crist-Harif
- Use deterministic hashing with _iLocIndexer / _LocIndexer
(GH#9108) Fabien Aulaire
- Enfore consistent schema in to_parquet pyarrow (GH#9131) Jim
Crist-Harif
* Bug Fixes
- Fix pyarrow.StringArray pickle (GH#9170) Jim Crist-Harif
- Fix parallel metadata collection in pyarrow engine (GH#9165)
Richard (Rick) Zamora
- Improve pyarrow partitioning logic (GH#9147) James Bourbeau
- pyarrow 8.0 partitioning fix (GH#9143) James Bourbeau
- Release 2022.05.2
* Enhancements
- Add a dispatch for non-pandas Grouper objects and use it in
GroupBy (GH#9074) brandon-b-miller
- Error if read_parquet & to_parquet files intersect (GH#9124)
Jim Crist-Harif
- Visualize task graphs using ipycytoscape (GH#9091) Ian Rose
- Release 2022.05.1
* New Features
- Add DataFrame.from_dict classmethod (GH#9017) Matthew Powers
- Add from_map function to Dask DataFrame (GH#8911) Richard
(Rick) Zamora
* Enhancements
- Improve to_parquet error for appended divisions overlap
(GH#9102) Jim Crist-Harif
- Enabled user-defined process-initializer functions (GH#9087)
ParticularMiner
- Mention align_dataframes=False option in map_partitions error
(GH#9075) Gabe Joseph
- Add kwarg enforce_ndim to dask.array.map_blocks() (GH#8865)
ParticularMiner
- Implement Series.GroupBy.fillna / DataFrame.GroupBy.fillna
methods (GH#8869) Pavithra Eswaramoorthy
- Allow fillna with Dask DataFrame (GH#8950) Pavithra
Eswaramoorthy
- Update error message for assignment with 1-d dask array
(GH#9036) Pavithra Eswaramoorthy
- Collection Protocol (GH#8674) Doug Davis
- Patch around pandas ArrowStringArray pickling (GH#9024) Jim
Crist-Harif
- Band-aid for compute_as_if_collection (GH#8998) Ian Rose
- Add p2p shuffle option (GH#8836) Matthew Rocklin
* Bug Fixes
- Fixup column projection with no columns (GH#9106) Jim
Crist-Harif
- Blockwise cull NumPy dtype (GH#9100) Ian Rose
- Fix column-projection bug in from_map (GH#9078) Richard
(Rick) Zamora
- Prevent nulls in index for non-numeric dtypes (GH#8963) Jorge
López
- Fix is_monotonic methods for more than 8 partitions (GH#9019)
Julia Signell
- Handle enumerate and generator inputs to from_map (GH#9066)
Richard (Rick) Zamora
- Revert is_dask_collection; back to previous implementation
(GH#9062) Doug Davis
- Fix Blockwise.clone does not handle iterable literal
arguments correctly (GH#8979) JSKenyon
- Array setitem hardmask (GH#9027) David Hassell
- Fix overlapping divisions error on append (GH#8997) Ian Rose
* Deprecations
- Add pre-deprecation warnings for read_parquet kwargs
chunksize and aggregate_files (GH#9052) Richard (Rick) Zamora
- Release 2022.05.0
* This is a bugfix release with doc changes only
- Release 2022.04.2
* This release includes several deprecations/breaking API changes
to dask.dataframe.read_parquet and dask.dataframe.to_parquet:
- to_parquet no longer writes _metadata files by default. If
you want to write a _metadata file, you can pass in
write_metadata_file=True.
- read_parquet now defaults to split_row_groups=False, which
results in one Dask dataframe partition per parquet file when
reading in a parquet dataset. If you’re working with large
parquet files you may need to set split_row_groups=True to
reduce your partition size.
- read_parquet no longer calculates divisions by default. If
you require read_parquet to return dataframes with known
divisions, please set calculate_divisions=True.
- read_parquet has deprecated the gather_statistics keyword
argument. Please use the calculate_divisions keyword argument
instead.
- read_parquet has deprecated the require_extensions keyword
argument. Please use the parquet_file_extension keyword
argument instead.
* New Features
- Add removeprefix and removesuffix as StringMethods (GH#8912)
Jorge López
* Enhancements
- Call fs.invalidate_cache in to_parquet (GH#8994) Jim
Crist-Harif
- Change to_parquet default to write_metadata_file=None
(GH#8988) Jim Crist-Harif
- Let arg reductions pass keepdims (GH#8926) Julia Signell
- Change split_row_groups default to False in read_parquet
(GH#8981) Richard (Rick) Zamora
- Improve NotImplementedError message for da.reshape (GH#8987)
Jim Crist-Harif
- Simplify to_parquet compute path (GH#8982) Jim Crist-Harif
- Raise an error if you try to use vindex with a Dask object
(GH#8945) Julia Signell
- Avoid pre_buffer=True when a precache method is specified
(GH#8957) Richard (Rick) Zamora
- from_dask_array uses blockwise instead of merging graphs
(GH#8889) Bryan Weber
- Use pre_buffer=True for “pyarrow” Parquet engine (GH#8952)
Richard (Rick) Zamora
* Bug Fixes
- Handle dtype=None correctly in da.full (GH#8954) Tom White
- Fix dask-sql bug caused by blockwise fusion (GH#8989) Richard
(Rick) Zamora
- to_parquet errors for non-string column names (GH#8990) Jim
Crist-Harif
- Make sure da.roll works even if shape is 0 (GH#8925) Julia
Signell
- Fix recursion error issue with set_index (GH#8967) Paul
Hobson
- Stringify BlockwiseDepDict mapping values when
produces_keys=True (GH#8972) Richard (Rick) Zamora
- Use DataFram`eIOLayer in DataFrame.from_delayed (GH#8852)
Richard (Rick) Zamora
- Check that values for the in predicate in read_parquet are
correct (GH#8846) Bryan Weber
- Fix bug for reduction of zero dimensional arrays (GH#8930)
Tom White
- Specify dtype when deciding division using np.linspace in
read_sql_query (GH#8940) Cheun Hong
* Deprecations
- Deprecate gather_statistics from read_parquet (GH#8992)
Richard (Rick) Zamora
- Change require_extension to top-level parquet_file_extension
read_parquet kwarg (GH#8935) Richard (Rick) Zamora
- Release 2022.04.1
* New Features
- Add missing NumPy ufuncs: abs, left_shift, right_shift,
positive. (GH#8920) Tom White
* Enhancements
- Avoid collecting parquet metadata in pyarrow when
write_metadata_file=False (GH#8906) Richard (Rick) Zamora
- Better error for failed wildcard path in dd.read_csv() (fixes
[#8878]) (GH#8908) Roger Filmyer
- Return da.Array rather than dd.Series for non-ufunc
elementwise functions on dd.Series (GH#8558) Julia Signell
- Let get_dummies use meta computation in map_partitions
(GH#8898) Julia Signell
- Masked scalars input to da.from_array (GH#8895) David Hassell
- Raise ValueError in merge_asof for duplicate kwargs (GH#8861)
Bryan Weber
* Bug Fixes
- Make is_monotonic work when some partitions are empty
(GH#8897) Julia Signell
- Fix custom getter in da.from_array when inline_array=False
(GH#8903) Ian Rose
- Correctly handle dict-specification for rechunk. (GH#8859)
Richard
- Fix merge_asof: drop index column if left_on == right_on
(GH#8874) Gil Forsyth
* Deprecations
- Warn users that engine='auto' will change in future (GH#8907)
Jim Crist-Harif
- Remove pyarrow-legacy engine from parquet API (GH#8835)
Richard (Rick) Zamora
- Release 2022.04.0
* This is the first release with support for Python 3.10
* New Features
- Add Python 3.10 support (GH#8566) James Bourbeau
* Enhancements
- Add check on dtype.itemsize in order to produce a useful
error (GH#8860) Davide Gavio
- Add mild typing to common utils functions (GH#8848) Matthew
Rocklin
- Add sanity checks to divisions setter (GH#8806) Jim
Crist-Harif
- Use Blockwise and map_partitions for more tasks (GH#8831)
Bryan Weber
* Bug Fixes
- Fix dataframe.merge_asof to preserve right_on column
(GH#8857) Sarah Charlotte Johnson
- Fix “Buffer dtype mismatch” for pandas >= 1.3 on 32bit
(GH#8851) Ben Greiner
- Fix slicing fusion by altering SubgraphCallable getter
(GH#8827) Ian Rose
* Deprecations
- Remove support for PyPy (GH#8863) James Bourbeau
- Drop setuptools at runtime (GH#8855) crusaderky
- Remove dataframe.tseries.resample.getnanos (GH#8834) Sarah
Charlotte Johnson
- Drop dask-fix8169-pandas13.patch and dask-py310-test.patch
* Sun Mar 27 2022 code@bnavigator.de
- dask.dataframe requires dask.bag (revealed by swifter test suite)
* Fri Mar 25 2022 code@bnavigator.de
- Update to 2022.3.0
* Bag: add implementation for reservoir sampling
* Add ma.count to Dask array
* Change to_parquet default to compression="snappy"
* Add weights parameter to dask.array.reduction
* Add ddf.compute_current_divisions to get divisions on a sorted
index or column
* Pass __name__ and __doc__ through on DelayedLeaf
* Raise exception for not implemented merge how option
* Move Bag.map_partitions to Blockwise
* Improve error messages for malformed config files
* Revise column-projection optimization to capture common
dask-sql patterns
* Useful error for empty divisions
* Scipy 1.8.0 compat: copy private classes into
dask/array/stats.py
- Release 2022.2.1
* Add aggregate functions first and last to
dask.dataframe.pivot_table
* Add std() support for datetime64 dtype for pandas-like objects
* Add materialized task counts to HighLevelGraph and Layer html
reprs
* Do not allow iterating a DataFrameGroupBy
* Fix missing newline after info() call on empty DataFrame
* Add groupby.compute as a not implemented method
* Improve multi dataframe join performance
* Include bool type for Index
* Allow ArrowDatasetEngine subclass to override pandas->arrow
conversion also for partitioned write
* Increase performance of k-diagonal extraction in da.diag() and
da.diagonal()
* Change linspace creation to match numpy when num equal to 0
* Tokenize dataclasses
* Update tokenize to treat dict and kwargs differently
- Release 2022.2.0
* Add region to to_zarr when using existing array
* Add engine_kwargs support to dask.dataframe.to_sql
* Add include_path_column arg to read_json
* Add expand_dims to Dask array
* Add scheduler option to assert_eq utilities
* Fix eye inconsistency with NumPy for dtype=None
* Fix concatenate inconsistency with NumPy for axis=None
* Type annotations, part 1
* Really allow any iterable to be passed as a meta
* Use map_partitions (Blockwise) in to_parquet
- Update dask-fix8169-pandas13.patch
- Add dask-py310-test.patch -- gh#dask/dask#8566
- Make the distributed/dask update sync requirement even more
obvious.
* Sat Jan 29 2022 code@bnavigator.de
- Update to 2022.1.1
* Add dask.dataframe.series.view()
* Update tz for fastparquet + pandas 1.4.0
* Cleaning up misc tests for pandas compat
* Moving to SQLAlchemy >= 1.4
* Pandas compat: Filter sparse warnings
* Fail if meta is not a pandas object
* Use fsspec.parquet module for better remote-storage
read_parquet performance
* Move DataFrame ACA aggregations to HLG
* Add optional information about originating function call in
DataFrameIOLayer
* Blockwise array creation redux
* Refactor config default search path retrieval
* Add optimize_graph flag to Bag.to_dataframe function
* Make sure that delayed output operations still return lists of
paths
* Pandas compat: Fix to_frame name to not pass None
* Pandas compat: Fix axis=None warning
* Expand Dask YAML config search directories
* Fix groupby.cumsum with series grouped by index
* Fix derived_from for pandas methods
* Enforce boolean ascending for sort_values
* Fix parsing of __setitem__ indices
* Avoid divide by zero in slicing
* Downgrade meta error in
* Pandas compat: Deprecate append when pandas >= 1.4.0
* Replace outdated columns argument with meta in DataFrame
constructor
* Refactor deploying docs
* Pin coverage in CI
* Move cached_cumsum imports to be from dask.utils
* Update gpuCI RAPIDS_VER to 22.04
* Update cocstring for from_delayed function
* Handle plot_width / plot_height deprecations
* Remove unnecessary pyyaml importorskip
* Specify scheduler in DataFrame assert_eq
* Tue Jan 25 2022 code@bnavigator.de
- Revert python310 enablement -- gh#dask/distributed#5460
* Tue Jan 25 2022 dmueller@suse.com
- reenable python 3.10 build as distributed is also reenabled
* Thu Jan 20 2022 code@bnavigator.de
- Update to 2022.1.0
* Add groupby.shift method (GH#8522) kori73
* Add DataFrame.nunique (GH#8479) Sarah Charlotte Johnson
* Add da.ndim to match np.ndim (GH#8502) Julia Signell
* Replace interpolation with method and method with
internal_method (GH#8525) Julia Signell
* Remove daily stock demo utility (GH#8477) James Bourbeau
* Add Series and Index is_monotonic* methods (GH#8304) Daniel
Mesejo-León
* Deprecate token keyword argument to map_blocks (GH#8464) James
Bourbeau
* Deprecation warning for default value of boundary kwarg in
map_overlap (GH#8397) Genevieve Buckley
- Skip python310: Not supported by distributed yet
- - gh#dask/distributed#5350
* Wed Sep 22 2021 code@bnavigator.de
- Update to 2021.09.1
* Fix groupby for future pandas
* Remove warning filters in tests that are no longer needed
* Add link to diagnostic visualize function in local diagnostic
docs
* Add datetime_is_numeric to dataframe.describe
* Remove references to pd.Int64Index in anticipation of
deprecation
* Use loc if needed for series __get_item__
* Specifically ignore warnings on mean for empty slices
* Skip groupby nunique test for pandas >= 1.3.3
* Implement ascending arg for sort_values
* Replace operator.getitem
* Deprecate zero_broadcast_dimensions and homogeneous_deepmap
* Add error if drop_index is negative
* Allow scheduler to be an Executor
* Handle asarray/asanyarray cases where like is a dask.Array
* Fix index_col duplication if index_col is type str
* Add dtype and order to asarray and asanyarray definitions
* Deprecate dask.dataframe.Series.__contains__
* Fix edge case with like-arrays in _wrapped_qr
* Deprecate boundary_slice kwarg: kind for pandas compat
- Release 2021.09.0
* Fewer open files
* Add FileNotFound to expected http errors
* Add DataFrame.sort_values to API docs
* Change to dask.order: be more eager at times
* Add pytest color to CI
* FIX: make_people works with processes scheduler
* Adds deep param to Dataframe copy method and restrict it to
False
* Fix typo in configuration docs
* Update formatting in DataFrame.query docstring
* Un-xfail sparse tests for 0.13.0 release
* Add axes property to DataFrame and Series
* Add CuPy support in da.unique (values only)
* Unit tests for sparse.zeros_like (xfailed)
* Add explicit like kwarg support to array creation functions
* Separate Array and DataFrame mindeps builds
* Fork out percentile_dispatch to dask.array
* Ensure filepath exists in to_parquet
* Update scheduler plugin usage in
test_scheduler_highlevel_graph_unpack_import
* Add DataFrame.shuffle to API docs
* Order requirements alphabetically
- Release 2021.08.1
* Add ignore_metadata_file option to read_parquet
(pyarrow-dataset and fastparquet support only)
* Add reference to pytest-xdist in dev docs
* Include tz in meta from to_datetime
* CI Infra Docs
* Include invalid DataFrame key in assert_eq check
* Use __class__ when creating DataFrames
* Use development version of distributed in gpuCI build
* Ignore whitespace when gufunc signature
* Move pandas import and percentile dispatch refactor
* Add colors to represent high level layer types
* Upstream instance fix
* Add dask.widgets and migrate HTML reprs to jinja2
* Remove wrap_func_like_safe, not required with
NumPy >= 1.17
* Fix threaded scheduler memory backpressure regression
* Add percentile dispatch
* Use a publicly documented attribute obj in groupby rather than
private _selected_obj
* Specify module to import rechunk from
* Use dict to store data for {nan,}arg{min,max} in certain cases
* Fix blocksize description formatting in read_pandas
* Fix "point" -> "pointers" typo in docs
- Release 2021.08.0
* Fix to_orc delayed compute behavior
* Don't convert to low-level task graph in
compute_as_if_collection
* Fix multifile read for hdf
* Resolve warning in distributed tests
* Update to_orc collection name
* Resolve skipfooter problem
* Raise NotImplementedError for non-indexable arg passed to
to_datetime
* Ensure we error on warnings from distributed
* Added dict format in to_bag accessories of DataFrame
* Delayed docs indirect dependencies
* Add tooltips to graphviz high-level graphs
* Close 2021 User Survey
* Reorganize CuPy tests into multiple files
* Refactor and Expand Dask-Dataframe ORC API
* Don't enforce columns if enforce=False
* Fix map_overlap trimming behavior when drop_axis is not None
* Mark gpuCI CuPy test as flaky
* Avoid using Delayed in to_csv and to_parquet
* Removed redundant check_dtypes
* Use pytest.warns instead of raises for checking parquet engine
deprecation
* Bump RAPIDS_VER in gpuCI to 21.10
* Add back pyarrow-legacy test coverage for pyarrow>=5
* Allow pyarrow>=5 in to_parquet and read_parquet
* Skip CuPy tests requiring NEP-35 when NumPy < 1.20 is available
* Add tail and head to SeriesGroupby
* Update Zoom link for monthly meeting
* Add gpuCI build script
* Deprecate daily_stock utility
* Add distributed.nanny to configuration reference docs
* Require NumPy 1.18+ & Pandas 1.0+
- Add dask-fix8169-pandas13.patch -- gh#dask/dask#8169
* Sun Aug 08 2021 code@bnavigator.de
- Update to 2021.7.2
* This is the last release with support for NumPy 1.17 and pandas
0.25. Beginning with the next release, NumPy 1.18 and pandas
1.0 will be the minimum supported versions.
* Add dask.array SVG to the HTML Repr
* Avoid use of Delayed in to_parquet
* Temporarily pin pyarrow<5 in CI
* Add deprecation warning for top-level ucx and rmm config values
* Remove skips from doctests (4 of 6)
* Remove skips from doctests (5 of 6)
* Adds missing prepend/append functionality to da.diff
* Change graphviz font family to sans
* Fix read-csv name - when path is different, use different name
for task
* Update configuration reference for ucx and rmm changes
* Add meta support to __setitem__
* NEP-35 support for slice_with_int_dask_array
* Unpin fastparquet in CI
* Remove skips from doctests (3 of 6)
- Release 2021.7.1
* Make array assert_eq check dtype
* Remove skips from doctests (6 of 6)
* Remove experimental feature warning from actors docs
* Remove skips from doctests (2 of 6)
* Separate out Array and Bag API
* Implement lazy Array.__iter__
* Clean up places where we inadvertently iterate over arrays
* Add numeric_only kwarg to DataFrame reductions
* Add pytest marker for GPU tests
* Add support for histogram2d in dask.array
* Remove skips from doctests (1 of 6)
* Add node size scaling to the Graphviz output for the high
level graphs
* Update old Bokeh links
* Temporarily pin fastparquet in CI
* Add dask.array import to progress bar docs
* Use separate files for each DataFrame API function and method
* Fix pyarrow-dataset ordering bug
* Generalize unique aggregate
* Raise NotImplementedError when using pd.Grouper
* Add aggregate_files argument to enable multi-file partitions in
read_parquet
* Un-xfail test_daily_stock
* Update access configuration docs
* Use packaging for version comparisons
* Handle infinite loops in merge_asof
* Fri Jul 16 2021 code@bnavigator.de
- Update to 2021.07.0
* Include fastparquet in upstream CI build
* Blockwise: handle non-string constant dependencies
* fastparquet now supports new time types, including ns precision
* Avoid ParquetDataset API when appending in ArrowDatasetEngine
* Add retry logic to test_shuffle_priority
* Use strict channel priority in CI
* Support nested dask.distributed imports
* Should check module name only, not the entire directory
filepath
* Updates due to https://github.com/dask/fastparquet/pull/623
* da.eye fix for chunks=-1
* Temporarily xfail test_daily_stock
* Set priority annotations in SimpleShuffleLayer
* Blockwise: stringify constant key inputs
* Allow mixing dask and numpy arrays in @guvectorize
* Don't sample dict result of a shuffle group when calculating
its size
* Fix scipy tests
* Deterministically tokenize datetime.date
* Add sample_rows to read_csv-like
* Fix typo in config.deserialize docstring
* Remove warning filter in test_dataframe_picklable
* Improvements to histogramdd
* Make PY_VERSION private
- Release 2021.06.2
* layers.py compare parts_out with set(self.parts_out)
* Make check_meta understand pandas dtypes better
* Remove "Educational Resources" doc page
* - Release 2021.06.1
* Replace funding page with 'Supported By' section on dask.org
* Add initial deprecation utilities
* Enforce dtype conservation in ufuncs that explicitly use dtype=
* Add Coiled to list of paid support organizations
* Small tweaks to the HTML repr for Layer & HighLevelGraph
* Add dark mode support to HLG HTML repr
* Remove compatibility entries for old distributed
* Implementation of HTML repr for HighLevelGraph layers
* Update default blockwise token to avoid DataFrame column name
clash
* Use dispatch concat for merge_asof
* Fix upstream freq tests
* Use more context managers from the standard library
* Simplify skips in parquet tests
* Remove check for outdated bokeh
* More test coverage uploads
* Remove ImportError catching from dask/__init__.py
* Allow DataFrame.join() to take a list of DataFrames to merge
with
* Fix maximum recursion depth exception in dask.array.linspace
* Fix docs links
* Initial da.select() implementation and test
* Layers must implement get_output_keys method
* Don't include or expect freq in divisions
* A HighLevelGraph abstract layer for map_overlap
* Always include kwarg name in drop
* Only rechunk for median if needed
* Add add_(prefix|suffix) to DataFrame and Series
* Move read_hdf to Blockwise
* Make Layer.get_output_keys officially an abstract method
* Non-dask-arrays and broadcasting in ravel_multi_index
* Fix for paths ending with "/" in parquet overwrite
* Fixing calling .visualize() with filename=None
* Generate unique names for SubgraphCallable
* Pin fsspec to 2021.5.0 in CI
* Evaluate graph lazily if meta is provided in from_delayed
* Add meta support for DatetimeTZDtype
* Add dispatch label to automatic PR labeler
* Fix HDFS tests
- Release 2021.06.0
* Remove abstract tokens from graph keys in rewrite_blockwise
* Ensure correct column order in csv project_columns
* Renamed inner loop variables to avoid duplication
* Do not return delayed object from to_zarr
* Array: correct number of outputs in apply_gufunc
* Rewrite da.fromfunction with da.blockwise
* Rename make_meta_util to make_meta
* Repartition before shuffle if the requested partitions are
less than input partitions
* Blockwise: handle constant key inputs
* Added raise to apply_gufunc
* Show failing tests summary in CI
* sizeof sets in Python 3.9
* Warn if using pandas datetimelike string in
dataframe.__getitem__
* Highlight the client.dashboard_link
* Easier link for subscribing to the Google calendar
* Automatically show graph visualization in Jupyter notebooks
* Add autofunction for unify_chunks in API docs
- Release 2021.05.1
* Pandas compatibility
* Fix optimize_dataframe_getitem bug
* Update make_meta import in docs
* Implement da.searchsorted
* Fix format string in error message
* Fix read_sql_table returning wrong result for single column
loads
* Add slack join link in support.rst
* Remove unused alphabet variable
* Fix meta creation incase of object
* Add dispatch for union_categoricals
* Consolidate array Dispatch objects
* Move DataFrame dispatch.registers to their own file
* Fix delayed with dataclasses where init=False
* Allow a column to be named divisions
* Stack nd array with unknown chunks
* Promote the 2021 Dask User Survey
* Fix typo in DataFrame.set_index()
* Cleanup array API reference links
* Accept axis tuple for flip to be consistent with NumPy
* Bump pre-commit hook versions
* Cleanup to_zarr docstring
* Fix the docstring of read_orc
* Doc ipyparallel & mpi4py concurrent.futures
* Update tests to support CuPy 9
* Fix some HighLevelGraph documentation inaccuracies
* Fix spelling in Series getitem error message
* Tue May 18 2021 code@bnavigator.de
- update to version 2021.5.0
* Remove deprecated kind kwarg to comply with pandas 1.3.0
(GH#7653) Julia Signell
* Fix bug in DataFrame column projection (GH#7645) Richard (Rick)
Zamora
* Merge global annotations when packing (GH#7565) Mads R. B.
Kristensen
* Avoid inplace= in pandas set_categories (GH#7633) James
Bourbeau
* Change the active-fusion default to False for Dask-Dataframe
(GH#7620) Richard (Rick) Zamora
* Array: remove extraneous code from RandomState (GH#7487) Gabe
Joseph
* Implement str.concat when others=None (GH#7623) Daniel
Mesejo-León
* Fix dask.dataframe in sandboxed environments (GH#7601) Noah D.
Brenowitz
* Support for cupyx.scipy.linalg (GH#7563) Benjamin Zaitlen
* Move timeseries and daily-stock to Blockwise (GH#7615) Richard
(Rick) Zamora
* Fix bugs in broadcast join (GH#7617) Richard (Rick) Zamora
* Use Blockwise for DataFrame IO (parquet, csv, and orc)
(GH#7415) Richard (Rick) Zamora
* Adding chunk & type information to Dask HighLevelGraph s
(GH#7309) Genevieve Buckley
* Add pyarrow sphinx intersphinx_mapping (GH#7612) Ray Bell
* Remove skip on test freq (GH#7608) Julia Signell
* Defaults in read_parquet parameters (GH#7567) Ray Bell
* Remove ignore_abc_warning (GH#7606) Julia Signell
* Harden DataFrame merge between column-selection and index
(GH#7575) Richard (Rick) Zamora
* Get rid of ignore_abc decorator (GH#7604) Julia Signell
* Remove kwarg validation for bokeh (GH#7597) Julia Signell
* Add loky example (GH#7590) Naty Clementi
* Delayed: nout when arguments become tasks (GH#7593) Gabe Joseph
* Update distributed version in mindep CI build (GH#7602) James
Bourbeau
* Support all or no overlap between partition columns and real
columns (GH#7541) Richard (Rick) Zamora
- Stress that python-distributed, if used, has to have a matching
version number. Always update at the same time.
* Mon May 03 2021 arun@gmx.de
- update to version 2021.4.1:
* Handle Blockwise HLG pack/unpack for concatenate=True (:pr:`7455`)
Richard (Rick) Zamora
* map_partitions: use tokenized info as name of the SubgraphCallable
(:pr:`7524`) Mads R. B. Kristensen
* Using tmp_path and tmpdir to avoid temporary files and directories
hanging in the repo (:pr:`7592`) Naty Clementi
* Contributing to docs (development guide) (:pr:`7591`) Naty
Clementi
* Add more packages to Python 3.9 CI build (:pr:`7588`) James
Bourbeau
* Array: Fix NEP-18 dispatching in finalize (:pr:`7508`) Gabe Joseph
* Misc fixes for numpydoc (:pr:`7569`) Matthias Bussonnier
* Avoid pandas level= keyword deprecation (:pr:`7577`) James
Bourbeau
* Map e.g. .repartition(freq="M") to .repartition(freq="MS")
(:pr:`7504`) Ruben van de Geer
* Remove hash seeding in parallel CI runs (:pr:`7128`) Elliott Sales
de Andrade
* Add defaults in parameters in to_parquet (:pr:`7564`) Ray Bell
* Simplify transpose axes cleanup (:pr:`7561`) Julia Signell
* Make ValueError in len(index_names) > 1 explicit it's using
fastparquet (:pr:`7556`) Ray Bell
* Fix dict-column appending for pyarrow parquet engines (:pr:`7527`)
Richard (Rick) Zamora
* Add a documentation auto label (:pr:`7560`) Doug Davis
* Add dask.delayed.Delayed to docs so it can be referenced by other
sphinx docs (:pr:`7559`) Doug Davis
* Fix upstream idxmaxmin for uneven split_every (:pr:`7538`) Julia
Signell
* Make normalize_token for pandas Series/DataFrame future proof (no
direct block access) (:pr:`7318`) Joris Van den Bossche
* Redesigned __setitem__ implementation (:pr:`7393`) David Hassell
* histogram, histogramdd improvements (docs; return consistencies)
(:pr:`7520`) Doug Davis
* Force nightly pyarrow in the upstream build (:pr:`7530`) Joris Van
den Bossche
* Fix Configuration Reference (:pr:`7533`) Benjamin Zaitlen
* Use .to_parquet on dask.dataframe in doc string (:pr:`7528`) Ray
Bell
* Avoid double msgpack serialization of HLGs (:pr:`7525`) Mads
R. B. Kristensen
* Encourage usage of yaml.safe_load() in configuration doc
(:pr:`7529`) Hristo Georgiev
* Fix reshape bug. Add relevant test. Fixes #7171. (:pr:`7523`)
JSKenyon
* Support custom_metadata= argument in to_parquet (:pr:`7359`)
Richard (Rick) Zamora
* Clean some documentation warnings (:pr:`7518`) Daniel Mesejo-León
* Getting rid of more docs warnings (:pr:`7426`) Julia Signell
* Added product (alias of prod) (:pr:`7517`) Freyam Mehta
* Fix upstream __array_ufunc__ tests (:pr:`7494`) Julia Signell
* Escape from map_overlap to map_blocks if depth is zero
(:pr:`7481`) Genevieve Buckley
* Add check_type to array assert_eq (:pr:`7491`) Julia Signell
* Fri Apr 09 2021 code@bnavigator.de
- Reenable 32bit tests after distributed is not cythonized anymore
gh#dask/dask#7489
* Sun Apr 04 2021 arun@gmx.de
- update to version 2021.4.0:
* Adding support for multidimensional histograms with
dask.array.histogramdd (:pr:`7387`) Doug Davis
* Update docs on number of threads and workers in default
LocalCluster (:pr:`7497`) cameron16
* Add labels automatically when certain files are touched in a PR
(:pr:`7506`) Julia Signell
* Extract ignore_order from kwargs (:pr:`7500`) GALI PREM SAGAR
* Only provide installation instructions when distributed is missing
(:pr:`7498`) Matthew Rocklin
* Start adding isort (:pr:`7370`) Julia Signell
* Add ignore_order parameter in dd.concat (:pr:`7473`) Daniel
Mesejo-León
* Use powers-of-two when displaying RAM (:pr:`7484`) Guido Imperiale
* Added License Classifier (:pr:`7485`) Tom Augspurger
* Replace conda with mamba (:pr:`7227`) Guido Imperiale
* Fix typo in array docs (:pr:`7478`) James Lamb
* Use concurrent.futures in local scheduler (:pr:`6322`) John A
Kirkham
* Tue Mar 30 2021 code@bnavigator.de
- Update to 2021.3.1
* Add a dispatch for is_categorical_dtype to handle non-pandas
objects (GH#7469) brandon-b-miller
* Use multiprocessing.Pool in test_read_text (GH#7472) John A
Kirkham
* Add missing meta kwarg to gufunc class (GH#7423) Peter Andreas
Entschev
* Example for memory-mapped Dask array (GH#7380) Dieter Weber
* Fix NumPy upstream failures xfail pandas and fastparquet
failures (GH#7441) Julia Signell
* Fix bug in repartition with freq (GH#7357) Ruben van de Geer
* Fix __array_function__ dispatching for tril/triu (GH#7457)
Peter Andreas Entschev
* Use concurrent.futures.Executors in a few tests (GH#7429) John
A Kirkham
* Require NumPy >=1.16 (GH#7383) Guido Imperiale
* Minor sort_values housekeeping (GH#7462) Ryan Williams
* Ensure natural sort order in parquet part paths (GH#7249) Ryan
Williams
* Remove global env mutation upon running test_config.py
(GH#7464) Hristo
* Update NumPy intersphinx URL (GH#7460) Gabe Joseph
* Add rot90 (GH#7440) Trevor Manz
* Update docs for required package for endpoint (GH#7454) Nick
Vazquez
* Master -> main in slice_array docstring (GH#7453) Gabe Joseph
* Expand dask.utils.is_arraylike docstring (GH#7445) Doug Davis
* Simplify BlockwiseIODeps importing (GH#7420) Richard (Rick)
Zamora
* Update layer annotation packing method (GH#7430) James Bourbeau
* Drop duplicate test in test_describe_empty (GH#7431) John A
Kirkham
* Add Series.dot method to dataframe module (GH#7236) Madhu94
* Added df kurtosis-method and testing (GH#7273) Jan Borchmann
* Avoid quadratic-time performance for HLG culling (GH#7403)
Bruce Merry
* Temporarily skip problematic sparse test (GH#7421) James
Bourbeau
* Update some CI workflow names (GH#7422) James Bourbeau
* Fix HDFS test (GH#7418) Julia Signell
* Make changelog subtitles match the hierarchy (GH#7419) Julia
Signell
* Add support for normalize in value_counts (GH#7342) Julia
Signell
* Avoid unnecessary imports for HLG Layer unpacking and
materialization (GH#7381) Richard (Rick) Zamora
* Bincount fix slicing (GH#7391) Genevieve Buckley
* Add sliding_window_view (GH#7234) Deepak Cherian
* Fix typo in docs/source/develop.rst (GH#7414) Hristo
* Switch documentation builds for PRs to readthedocs (GH#7397)
James Bourbeau
* Adds sort_values to dask.DataFrame (GH#7286) gerrymanoim
* Pin sqlalchemy<1.4.0 in CI (GH#7405) James Bourbeau
* Comment fixes (GH#7215) Ryan Williams
* Dead code removal / fixes (GH#7388) Ryan Williams
* Use single thread for pa.Table.from_pandas calls (GH#7347)
Richard (Rick) Zamora
* Replace 'container' with 'image' (GH#7389) James Lamb
* DOC hyperlink repartition (GH#7394) Ray Bell
* Pass delimiter to fsspec in bag.read_text (GH#7349) Martin
Durant
* Update read_hdf default mode to "r" (GH#7039) rs9w33
* Embed literals in SubgraphCallable when packing Blockwise
(GH#7353) Mads R. B. Kristensen
* Update test_hdf.py to not reuse file handlers (GH#7044) rs9w33
* Require additional dependencies: cloudpickle, partd, fsspec,
toolz (GH#7345) Julia Signell
* Prepare Blockwise + IO infrastructure (GH#7281) Richard (Rick)
Zamora
* Remove duplicated imports from test_slicing.py (GH#7365) Hristo
* Add test deps for pip development (GH#7360) Julia Signell
* Support int slicing for non-NumPy arrays (GH#7364) Peter
Andreas Entschev
* Automatically cancel previous CI builds (GH#7348) James
Bourbeau
* dask.array.asarray should handle case where xarray class is in
top-level namespace (GH#7335) Tom White
* HighLevelGraph length without materializing layers (GH#7274)
Gabe Joseph
* Drop support for Python 3.6 (GH#7006) James Bourbeau
* Fix fsspec usage in create_metadata_file (GH#7295) Richard
(Rick) Zamora
* Change default branch from master to main (GH#7198) Julia
Signell
* Add Xarray to CI software environment (GH#7338) James Bourbeau
* Update repartition argument name in error text (GH#7336) Eoin
Shanaghy
* Run upstream tests based on commit message (GH#7329) James
Bourbeau
* Use pytest.register_assert_rewrite on util modules (GH#7278)
Bruce Merry
* Add example on using specific chunk sizes in from_array()
(GH#7330) James Lamb
* Move NumPy skip into test (GH#7247) Julia Signell
- Update package descriptions
- Add dask-delayed and dask-diagnostics packages
- Drop dask-multiprocessing package merged into main
- Skip python36: upstream dropped support for Python < 3.7
- Drop dask-pr7247-numpyskip.patch merged upstream
- Test more optional requirements for better compatibility
assurance.
* Sun Mar 07 2021 code@bnavigator.de
- Update to 2021.3.0
* This is the first release with support for Python 3.9 and the
last release with support for Python 3.6
* Bump minimum version of distributed (GH#7328) James Bourbeau
* Fix percentiles_summary with dask_cudf (GH#7325) Peter Andreas
Entschev
* Temporarily revert recent Array.__setitem__ updates (GH#7326)
James Bourbeau
* Blockwise.clone (GH#7312) Guido Imperiale
* NEP-35 duck array update (GH#7321) James Bourbeau
* Don’t allow setting .name for array (GH#7222) Julia Signell
* Use nearest interpolation for creating percentiles of integer
input (GH#7305) Kyle Barron
* Test exp with CuPy arrays (GH#7322) John A Kirkham
* Check that computed chunks have right size and dtype (GH#7277)
Bruce Merry
* pytest.mark.flaky (GH#7319) Guido Imperiale
* Contributing docs: add note to pull the latest git tags before
pip installing Dask (GH#7308) Genevieve Buckley
* Support for Python 3.9 (GH#7289) Guido Imperiale
* Add broadcast-based merge implementation (GH#7143) Richard
(Rick) Zamora
* Add split_every to graph_manipulation (GH#7282) Guido Imperiale
* Typo in optimize docs (GH#7306) Julius Busecke
* dask.graph_manipulation support for xarray.Dataset (GH#7276)
Guido Imperiale
* Add plot width and height support for Bokeh 2.3.0 (GH#7297)
James Bourbeau
* Add NumPy functions tri, triu_indices, triu_indices_from,
tril_indices, tril_indices_from (GH#6997) Illviljan
* Remove “cleanup” task in DataFrame on-disk shuffle (GH#7260)
Sinclair Target
* Use development version of distributed in CI (GH#7279) James
Bourbeau
* Moving high level graph pack/unpack Dask (GH#7179) Mads R. B.
Kristensen
* Improve performance of merge_percentiles (GH#7172) Ashwin
Srinath
* DOC: add dask-sql and fugue (GH#7129) Ray Bell
* Example for working with categoricals and parquet (GH#7085)
McToel
* Adds tree reduction to bincount (GH#7183) Thomas J. Fan
* Improve documentation of name in from_array (GH#7264) Bruce
Merry
* Fix cumsum for empty partitions (GH#7230) Julia Signell
* Add map_blocks example to dask array creation docs (GH#7221)
Julia Signell
* Fix performance issue in dask.graph_manipulation.wait_on()
(GH#7258) Guido Imperiale
* Replace coveralls with codecov.io (GH#7246) Guido Imperiale
* Pin to a particular black rev in pre-commit (GH#7256) Julia
Signell
* Minor typo in documentation: array-chunks.rst (GH#7254) Magnus
Nord
* Fix bugs in Blockwise and ShuffleLayer (GH#7213) Richard
(Rick) Zamora
* Fix parquet filtering bug for "pyarrow-dataset" with
pyarrow-3.0.0 (GH#7200) Richard (Rick) Zamora
* graph_manipulation without NumPy (GH#7243) Guido Imperiale
* Support for NEP-35 (GH#6738) Peter Andreas Entschev
* Avoid running unit tests during doctest CI build (GH#7240)
James Bourbeau
* Run doctests on CI (GH#7238) Julia Signell
* Cleanup code quality on set arithmetics (GH#7196) Guido
Imperiale
* Add dask.array.delete (GH#7125) Julia Signell
* Unpin graphviz now that new conda-forge recipe is built
(GH#7235) Julia Signell
* Don’t use NumPy 1.20 from conda-forge on Mac (GH#7211) Guido
Imperiale
* map_overlap: Don’t rechunk axes without overlap (GH#7233)
Deepak Cherian
* Pin graphviz to avoid issue with latest conda-forge build
(GH#7232) Julia Signell
* Use html_css_files in docs for custom CSS (GH#7220) James
Bourbeau
* Graph manipulation: clone, bind, checkpoint, wait_on (GH#7109)
Guido Imperiale
* Fix handling of filter expressions in parquet pyarrow-dataset
engine (GH#7186) Joris Van den Bossche
* Extend __setitem__ to more closely match numpy (GH#7033) David
Hassell
* Clean up Python 2 syntax (GH#7195) Guido Imperiale
* Fix regression in Delayed._length (GH#7194) Guido Imperiale
* __dask_layers__() tests and tweaks (GH#7177) Guido Imperiale
* Properly convert HighLevelGraph in multiprocessing scheduler
(GH#7191) Jim Crist-Harif
* Don’t fail fast in CI (GH#7188) James Bourbeau
- Add dask-pr7247-numpyskip.patch -- gh#dask/dask#7247
* Wed Feb 17 2021 code@bnavigator.de
- Run the full test suite: use rootdir conftest.py
* importable optional dependencies are skipped automatically
* can use network marker to skip network tests
- Don't package and test -dataframe and -array for python36 flavor,
because python36-numpy and depending packages were dropped from
Tumbleweed with version 1.20.
- Skip more distributed tests occasionally failing
* Mon Feb 08 2021 code@bnavigator.de
- Update to version 2020.2.0
* Add percentile support for NEP-35 (GH#7162) Peter Andreas
Entschev
* Added support for Float64 in column assignment (GH#7173) Nils
Braun
* Coarsen rechunking error (GH#7127) Davis Bennett
* Fix upstream CI tests (GH#6896) Julia Signell
* Revise HighLevelGraph Mapping API (GH#7160) Guido Imperiale
* Update low-level graph spec to use any hashable for keys
(GH#7163) James Bourbeau
* Generically rebuild a collection with different keys (GH#7142)
Guido Imperiale
* Make easier to link issues in PRs (GH#7130) Ray Bell
* Add dask.array.append (GH#7146) D-Stacks
* Allow dask.array.ravel to accept array_like argument (GH#7138)
D-Stacks
* Fixes link in array design doc (GH#7152) Thomas J. Fan
* Fix example of using blockwise for an outer product (GH#7119)
Bruce Merry
* Deprecate HighlevelGraph.dicts in favor of .layers (GH#7145)
Amit Kumar
* Align FastParquetEngine with pyarrow engines (GH#7091) Richard
(Rick) Zamora
* Merge annotations (GH#7102) Ian Rose
* Simplify contents of parts list in read_parquet (GH#7066)
Richard (Rick) Zamora
* check_meta(): use __class__ when checking DataFrame types
(GH#7099) Mads R. B. Kristensen
* Cache several properties (GH#7104) Illviljan
* Fix parquet getitem optimization (GH#7106) Richard (Rick)
Zamora
* Add cytoolz back to CI environment (GH#7103) James Bourbeau
* Thu Jan 28 2021 code@bnavigator.de
- Update to version 2020.1.1
Partially fix cumprod (GH#7089) Julia Signell
* Test pandas 1.1.x / 1.2.0 releases and pandas nightly
(GH#6996) Joris Van den Bossche
* Use assign to avoid SettingWithCopyWarning (GH#7092) Julia
Signell
* 'mode' argument passed to bokeh.output_file() (GH#7034)
(GH#7075) patquem
* Skip empty partitions when doing groupby.value_counts
(GH#7073) Julia Signell
* Add error messages to assert_eq() (GH#7083) James Lamb
* Make cached properties read-only (GH#7077) Illviljan
- Changelog for 2021.01.0
* map_partitions with review comments (GH#6776) Kumar Bharath
Prabhu
* Make sure that population is a real list (GH#7027) Julia Signell
* Propagate storage_options in read_csv (GH#7074) Richard (Rick)
Zamora
* Remove all BlockwiseIO code (GH#7067) Richard (Rick) Zamora
* Fix CI (GH#7069) James Bourbeau
* Add option to control rechunking in reshape (GH#6753) Tom
Augspurger
* Fix linalg.lstsq for complex inputs (GH#7056) Johnnie Gray
* Add compression='infer' default to read_csv (GH#6960) Richard
(Rick) Zamora
* Revert parameter changes in svd_compressed #7003 (GH#7004) Eric
Czech
* Skip failing s3 test (GH#7064) Martin Durant
* Revert BlockwiseIO (GH#7048) Richard (Rick) Zamora
* Add some cross-references to DataFrame.to_bag() and Series.
to_bag() (GH#7049) Rob Malouf
* Rewrite matmul as blockwise without contraction/concatenate
(GH#7000) Rafal Wojdyla
* Use functools.cached_property in da.shape (GH#7023) Illviljan
* Use meta value in series non_empty (GH#6976) Julia Signell
* Revert “Temporarly pin sphinx version to 3.3.1 (GH#7002)”
(GH#7014) Rafal Wojdyla
* Revert python-graphviz pinning (GH#7037) Julia Signell
* Accidentally committed print statement (GH#7038) Julia Signell
* Pass dropna and observed in agg (GH#6992) Julia Signell
* Add index to meta after .str.split with expand (GH#7026) Ruben
van de Geer
* CI: test pyarrow 2.0 and nightly (GH#7030) Joris Van den Bossche
* Temporarily pin python-graphviz in CI (GH#7031) James Bourbeau
* Underline section in numpydoc (GH#7013) Matthias Bussonnier
* Keep normal optimizations when adding custom optimizations
(GH#7016) Matthew Rocklin
* Temporarily pin sphinx version to 3.3.1 (GH#7002) Rafal Wojdyla
* DOC: Misc formatting (GH#6998) Matthias Bussonnier
* Add inline_array option to from_array (GH#6773) Tom Augspurger
* Revert “Initial pass at blockwise array creation routines
(GH#6931)” (:pr:`6995) James Bourbeau
* Set npartitions in set_index (GH#6978) Julia Signell
* Upstream config serialization and inheritance (GH#6987) Jacob
Tomlinson
* Bump the minimum time in test_minimum_time (GH#6988) Martin
Durant
* Fix pandas dtype inference for read_parquet (GH#6985) Richard
(Rick) Zamora
* Avoid data loss in set_index with sorted=True (GH#6980) Richard
(Rick) Zamora
* Bugfix in read_parquet for handling un-named indices with
index=False (GH#6969) Richard (Rick) Zamora
* Use __class__ when comparing meta data (GH#6981) Mads R. B.
Kristensen
* Comparing string versions won’t always work (GH#6979) Rafal
Wojdyla
* Fix GH#6925 (GH#6982) sdementen
* Initial pass at blockwise array creation routines (GH#6931) Ian
Rose
* Simplify has_parallel_type() (GH#6927) Mads R. B. Kristensen
* Handle annotation unpacking in BlockwiseIO (GH#6934) Simon
Perkins
* Avoid deprecated yield_fixture in test_sql.py (GH#6968) Richard
(Rick) Zamora
* Remove bad graph logic in BlockwiseIO (GH#6933) Richard (Rick)
Zamora
* Get config item if variable is None (GH#6862) Jacob Tomlinson
* Update from_pandas docstring (GH#6957) Richard (Rick) Zamora
* Prevent fuse_roots from clobbering annotations (GH#6955) Simon
Perkins
* Wed Jan 13 2021 code@bnavigator.de
- update to version 2020.12.0
* Switched to CalVer for versioning scheme.
* Introduced new APIs for HighLevelGraph to enable sending
high-level representations of task graphs to the
distributed scheduler.
* Introduced new HighLevelGraph layer objects including
BasicLayer, Blockwise, BlockwiseIO, ShuffleLayer, and
more.
* Added support for applying custom Layer-level annotations
like priority, retries, etc. with the dask.annotations
context manager.
* Updated minimum supported version of pandas to 0.25.0
and NumPy to 1.15.1.
* Support for the pyarrow.dataset API to read_parquet.
* Several fixes to Dask Array’s SVD.
- For a full list of changes see
https://docs.dask.org/en/latest/changelog.html
- Clean requirements
- Fix incorrect usage of python3_only macro
- Test with pytest-xdist in order to avoid hang after test
* Sat Oct 10 2020 arun@gmx.de
- update to version 2.30.0:
* Allow rechunk to evenly split into N chunks (:pr:`6420`) Scott
Sievert
* Mon Oct 05 2020 arun@gmx.de
- update to version 2.29.0:
* Array
+ _repr_html_: color sides darker instead of drawing all the lines
(:pr:`6683`) Julia Signell
+ Removes warning from nanstd and nanvar (:pr:`6667`) Thomas J Fan
+ Get shape of output from original array - map_overlap
(:pr:`6682`) Julia Signell
+ Replace np.searchsorted with bisect in indexing (:pr:`6669`)
Joachim B Haga
* Bag
+ Make sure subprocesses have a consistent hash for bag groupby
(:pr:`6660`) Itamar Turner-Trauring
* Core
+ Revert "Use HighLevelGraph layers everywhere in collections
(:pr:`6510`)" (:pr:`6697`) Tom Augspurger
+ Use pandas.testing (:pr:`6687`) John A Kirkham
+ Improve 128-bit floating-point skip in tests (:pr:`6676`)
Elliott Sales de Andrade
* DataFrame
+ Allow setting dataframe items using a bool dataframe
(:pr:`6608`) Julia Signell
* Documentation
+ Fix typo (:pr:`6692`) garanews
+ Fix a few typos (:pr:`6678`) Pav A
- changes from version 2.28.0:
* Array
+ Partially reverted changes to Array indexing that produces large
changes. This restores the behavior from Dask 2.25.0 and
earlier, with a warning when large chunks are produced. A
configuration option is provided to avoid creating the large
chunks, see :ref:`array.slicing.efficiency`. (:pr:`6665`) Tom
Augspurger
+ Add meta to to_dask_array (:pr:`6651`) Kyle Nicholson
+ Fix :pr:`6631` and :pr:`6611` (:pr:`6632`) Rafal Wojdyla
+ Infer object in array reductions (:pr:`6629`) Daniel Saxton
+ Adding v_based flag for svd_flip (:pr:`6658`) Eric Czech
+ Fix flakey array mean (:pr:`6656`) Sam Grayson
* Core
+ Removed dsk equality check from SubgraphCallable.__eq__
(:pr:`6666`) Mads R. B. Kristensen
+ Use HighLevelGraph layers everywhere in collections (:pr:`6510`)
Mads R. B. Kristensen
+ Adds hash dunder method to SubgraphCallable for caching purposes
(:pr:`6424`) Andrew Fulton
+ Stop writing commented out config files by default (:pr:`6647`)
Matthew Rocklin
* DataFrame
+ Add support for collect list aggregation via agg API
(:pr:`6655`) Madhur Tandon
+ Slightly better error message (:pr:`6657`) Julia Signell
* Sat Sep 19 2020 arun@gmx.de
- update to version 2.27.0:
* Array
+ Preserve dtype in svd (:pr:`6643`) Eric Czech
* Core
+ store(): create a single HLG layer (:pr:`6601`) Mads
R. B. Kristensen
+ Add pre-commit CI build (:pr:`6645`) James Bourbeau
+ Update .pre-commit-config to latest black. (:pr:`6641`) Julia
Signell
+ Update super usage to remove Python 2 compatibility (:pr:`6630`)
Poruri Sai Rahul
+ Remove u string prefixes (:pr:`6633`) Poruri Sai Rahul
* DataFrame
+ Improve error message for to_sql (:pr:`6638`) Julia Signell
+ Use empty list as categories (:pr:`6626`) Julia Signell
* Documentation
+ Add autofunction to array api docs for more ufuncs (:pr:`6644`)
James Bourbeau
+ Add a number of missing ufuncs to dask.array docs (:pr:`6642`)
Ralf Gommers
+ Add HelmCluster docs (:pr:`6290`) Jacob Tomlinson
* Sat Sep 12 2020 arun@gmx.de
- specfile:
* added python-mimesis and python-zarr to be able to run more tests
- update to version 2.26.0:
* Array
+ Backend-aware dtype inference for single-chunk svd (:pr:`6623`)
Eric Czech
+ Make array.reduction docstring match for dtype (:pr:`6624`)
Martin Durant
+ Set lower bound on compression level for svd_compressed using
rows and cols (:pr:`6622`) Eric Czech
+ Improve SVD consistency and small array handling (:pr:`6616`)
Eric Czech
+ Add svd_flip #6599 (:pr:`6613`) Eric Czech
+ Handle sequences containing dask Arrays (:pr:`6595`) Gabe Joseph
+ Avoid large chunks from getitem with lists (:pr:`6514`) Tom
Augspurger
+ Eagerly slice numpy arrays in from_array (:pr:`6605`) Deepak
Cherian
+ Restore ability to pickle dask arrays (:pr:`6594`) Noah D
Brenowitz
+ Add SVD support for short-and-fat arrays (:pr:`6591`) Eric Czech
+ Add simple chunk type registry and defer as appropriate to
upcast types (:pr:`6393`) Jon Thielen
+ Align coarsen chunks by default (:pr:`6580`) Deepak Cherian
+ Fixup reshape on unknown dimensions and other testing fixes
(:pr:`6578`) Ryan Williams
* Core
+ Add validation and fixes for HighLevelGraph dependencies
(:pr:`6588`) Mads R. B. Kristensen
+ Fix linting issue (:pr:`6598`) Tom Augspurger
+ Skip bokeh version 2.0.0 (:pr:`6572`) John A Kirkham
* DataFrame
+ Added bytes/row calculation when using meta (:pr:`6585`) McToel
+ Handle min_count in Series.sum / prod (:pr:`6618`) Daniel Saxton
+ Update DataFrame.set_index docstring (:pr:`6549`) Timost
+ Always compute 0 and 1 quantiles during quantile calculations
(:pr:`6564`) Erik Welch
+ Fix wrong path when reading empty csv file (:pr:`6573`)
Abdulelah Bin Mahfoodh
* Documentation
+ Doc: Troubleshooting dashboard 404 (:pr:`6215`) Kilian Lieret
+ Fixup extraConfig example (:pr:`6625`) Tom Augspurger
+ Update supported Python versions (:pr:`6609`) Julia Signell
+ Document dask/daskhub helm chart (:pr:`6560`) Tom Augspurger
* Sat Aug 29 2020 arun@gmx.de
- update to version 2.25.0:
* Core
+ Compare key hashes in subs() (:pr:`6559`) Mads R. B. Kristensen
+ Rerun with latest black release (:pr:`6568`) James Bourbeau
+ License update (:pr:`6554`) Tom Augspurger
* DataFrame
+ Add gs read_parquet example (:pr:`6548`) Ray Bell
* Documentation
+ Remove version from documentation page names (:pr:`6558`) James
Bourbeau
+ Update kubernetes-helm.rst (:pr:`6523`) David Sheldon
+ Stop 2020 survey (:pr:`6547`) Tom Augspurger
- changes from version 2.24.0:
* Array
+ Fix setting random seed in tests. (:pr:`6518`) Elliott Sales de
Andrade
+ Support meta in apply gufunc (:pr:`6521`) joshreback
+ Replace cupy.sparse with cupyx.scipy.sparse (:pr:`6530`) John A
Kirkham
* Dataframe
+ Bump up tolerance for rolling tests (:pr:`6502`) Julia Signell
+ Implement DatFrame.__len__ (:pr:`6515`) Tom Augspurger
+ Infer arrow schema in to_parquet (for ArrowEngine`) (:pr:`6490`)
`Richard Zamora`_
+ Fix parquet test when no pyarrow (:pr:`6524`) Martin Durant
+ Remove problematic filter arguments in ArrowEngine (:pr:`6527`)
`Richard Zamora`_
+ Avoid schema validation by default in ArrowEngine (:pr:`6536`)
`Richard Zamora`_
* Core
+ Use unpack_collections in make_blockwise_graph (:pr:`6517`)
`Thomas Fan`_
+ Move key_split() from optimization.py to utils.py (:pr:`6529`)
Mads R. B. Kristensen
+ Make tests run on moto server (:pr:`6528`) Martin Durant
* Sat Aug 15 2020 arun@gmx.de
- update to version 2.23.0:
* Array
+ Reduce np.zeros, ones, and full array size with broadcasting
(:pr:`6491`) Matthias Bussonnier
+ Add missing meta= for trim in map_overlap (:pr:`6494`) Peter
Andreas Entschev
* Bag
+ Bag repartition partition size (:pr:`6371`) joshreback
* Core
+ Scalar.__dask_layers__() to return self._name instead of
self.key (:pr:`6507`) Mads R. B. Kristensen
+ Update dependencies correctly in fuse_root optimization
(:pr:`6508`) Mads R. B. Kristensen
* DataFrame
+ Adds items to dataframe (:pr:`6503`) Thomas J Fan
+ Include compression in write_table call (:pr:`6499`) Julia
Signell
+ Fixed warning in nonempty_series (:pr:`6485`) Tom Augspurger
+ Intelligently determine partitions based on type of first arg
(:pr:`6479`) Matthew Rocklin
+ Fix pyarrow mkdirs (:pr:`6475`) Julia Signell
+ Fix duplicate parquet output in to_parquet (:pr:`6451`)
michaelnarodovitch
* Documentation
+ Fix documentation da.histogram (:pr:`6439`) Roberto Panai
+ Add agg nunique example (:pr:`6404`) Ray Bell
+ Fixed a few typos in the SQL docs (:pr:`6489`) Mike McCarty
+ Docs for SQLing (:pr:`6453`) Martin Durant
* Sat Aug 01 2020 arun@gmx.de
- update to version 2.22.0:
* Array
+ Compatibility for NumPy dtype deprecation (:pr:`6430`) Tom
Augspurger
* Core
+ Implement sizeof for some bytes-like objects (:pr:`6457`) John A
Kirkham
+ HTTP error for new fsspec (:pr:`6446`) Martin Durant
+ When RecursionError is raised, return uuid from tokenize
function (:pr:`6437`) Julia Signell
+ Install deps of upstream-dev packages (:pr:`6431`) Tom
Augspurger
+ Use updated link in setup.cfg (:pr:`6426`) Zhengnan
* DataFrame
+ Add single quotes around column names if strings (:pr:`6471`)
Gil Forsyth
+ Refactor ArrowEngine for better read_parquet performance
(:pr:`6346`) Richard (Rick) Zamora
+ Add tolist dispatch (:pr:`6444`) GALI PREM SAGAR
+ Compatibility with pandas 1.1.0rc0 (:pr:`6429`) Tom Augspurger
+ Multi value pivot table (:pr:`6428`) joshreback
+ Duplicate argument definitions in to_csv docstring (:pr:`6411`)
Jun Han (Johnson) Ooi
* Documentation
+ Add utility to docs to convert YAML config to env vars and back
(:pr:`6472`) Jacob Tomlinson
+ Fix parameter server rendering (:pr:`6466`) Scott Sievert
+ Fixes broken links (:pr:`6403`) Jim Circadian
+ Complete parameter server implementation in docs (:pr:`6449`)
Scott Sievert
+ Fix typo (:pr:`6436`) Jack Xiaosong Xu
* Sat Jul 18 2020 arun@gmx.de
- update to version 2.21.0:
* Array
+ Correct error message in array.routines.gradient() (:pr:`6417`)
johnomotani
+ Fix blockwise concatenate for array with some dimension=1
(:pr:`6342`) Matthias Bussonnier
* Bag
+ Fix bag.take example (:pr:`6418`) Roberto Panai
* Core
+ Groups values in optimization pass should only be graph and keys
- - not an optimization + keys (:pr:`6409`) Ben Zaitlen
+ Call custom optimizations once, with kwargs provided
(:pr:`6382`) Clark Zinzow
+ Include pickle5 for testing on Python 3.7 (:pr:`6379`) John A
Kirkham
* DataFrame
+ Correct typo in error message (:pr:`6422`) Tom McTiernan
+ Use pytest.warns to check for UserWarning (:pr:`6378`) Richard
(Rick) Zamora
+ Parse bytes_per_chunk keyword from string (:pr:`6370`) Matthew
Rocklin
* Documentation
+ Numpydoc formatting (:pr:`6421`) Matthias Bussonnier
+ Unpin numpydoc following 1.1 release (:pr:`6407`) Gil Forsyth
+ Numpydoc formatting (:pr:`6402`) Matthias Bussonnier
+ Add instructions for using conda when installing code for
development (:pr:`6399`) Ray Bell
+ Update visualize docstrings (:pr:`6383`) Zhengnan
* Thu Jul 09 2020 mcalabkova@suse.com
- Update to version 2.20.0
Array
- Register ``sizeof`` for numpy zero-strided arrays (:pr:`6343`) `Matthias Bussonnier`_
- Use ``concatenate_lookup`` in ``concatenate`` (:pr:`6339`) `John A Kirkham`_
- Fix rechunking of arrays with some zero-length dimensions (:pr:`6335`) `Matthias Bussonnier`_
DataFrame
- Dispatch ``iloc``` calls to ``getitem`` (:pr:`6355`) `Gil Forsyth`_
- Handle unnamed pandas ``RangeIndex`` in fastparquet engine (:pr:`6350`) `Richard (Rick) Zamora`_
- Preserve index when writing partitioned parquet datasets with pyarrow (:pr:`6282`) `Richard (Rick) Zamora`_
- Use ``ignore_index`` for pandas' ``group_split_dispatch`` (:pr:`6251`) `Richard (Rick) Zamora`_
Documentation
- Add doc describing argument (:pr:`6318`) `asmith26`_
- 2.19.0
Array
- Cast chunk sizes to python int ``dtype`` (:pr:`6326`) `Gil Forsyth`_
- Add ``shape=None`` to ``*_like()`` array creation functions (:pr:`6064`) `Anderson Banihirwe`_
Core
- Update expected error msg for protocol difference in fsspec (:pr:`6331`) `Gil Forsyth`_
- Fix for floats < 1 in ``parse_bytes`` (:pr:`6311`) `Gil Forsyth`_
- Fix exception causes all over the codebase (:pr:`6308`) `Ram Rachum`_
- Fix duplicated tests (:pr:`6303`) `James Lamb`_
- Remove unused testing function (:pr:`6304`) `James Lamb`_
DataFrame
- Add high-level CSV Subgraph (:pr:`6262`) `Gil Forsyth`_
- Fix ``ValueError`` when merging an index-only 1-partition dataframe (:pr:`6309`) `Krishan Bhasin`_
- Make ``index.map`` clear divisions. (:pr:`6285`) `Julia Signell`_
Documentation
- Add link to 2020 survey (:pr:`6328`) `Tom Augspurger`_
- Update ``bag.rst`` (:pr:`6317`) `Ben Shaver`_
- 2.18.1
Array
- Don't try to set name on ``full`` (:pr:`6299`) `Julia Signell`_
- Histogram: support lazy values for range/bins (another way) (:pr:`6252`) `Gabe Joseph`_
Core
- Fix exception causes in ``utils.py`` (:pr:`6302`) `Ram Rachum`_
- Improve performance of ``HighLevelGraph`` construction (:pr:`6293`) `Julia Signell`_
Documentation
- Now readthedocs builds unrelased features' docstrings (:pr:`6295`) `Antonio Ercole De Luca`_
- Add ``asyncssh`` intersphinx mappings (:pr:`6298`) `Jacob Tomlinson`_
- 2.18.0
Array
- Cast slicing index to dask array if same shape as original (:pr:`6273`) `Julia Signell`_
- Fix ``stack`` error message (:pr:`6268`) `Stephanie Gott`_
- ``full`` & ``full_like``: error on non-scalar ``fill_value`` (:pr:`6129`) `Huite`_
- Support for multiple arrays in ``map_overlap`` (:pr:`6165`) `Eric Czech`_
- Pad resample divisions so that edges are counted (:pr:`6255`) `Julia Signell`_
Bag
- Random sampling of k elements from a dask bag #4799 (:pr:`6239`) `Antonio Ercole De Luca`_
DataFrame
- Add ``dropna``, ``sort``, and ``ascending`` to ``sort_values`` (:pr:`5880`) `Julia Signell`_
- Generalize ``from_dask_array`` (:pr:`6263`) `GALI PREM SAGAR`_
- Add derived docstring for ``SeriesGroupby.nunique`` (:pr:`6284`) `Julia Signell`_
- Remove ``NotImplementedError`` in resample with rule (:pr:`6274`) `Abdulelah Bin Mahfoodh`_
- Add ``dd.to_sql`` (:pr:`6038`) `Ryan Williams`_
Documentation
- Update remote data section (:pr:`6258`) `Ray Bell`_
- 2.17.2
Core
- Re-add the ``complete`` extra (:pr:`6257`) `Jim Crist-Harif`_
DataFrame
- Raise error if ``resample`` isn't going to give right answer (:pr:`6244`) `Julia Signell`_
- 2.17.1
Array
- Empty array rechunk (:pr:`6233`) `Andrew Fulton`_
Core
- Make ``pyyaml`` required (:pr:`6250`) `Jim Crist-Harif`_
- Fix install commands from ``ImportError`` (:pr:`6238`) `Gaurav Sheni`_
- Remove issue template (:pr:`6249`) `Jacob Tomlinson`_
DataFrame
- Pass ``ignore_index`` to ``dd_shuffle`` from ``DataFrame.shuffle`` (:pr:`6247`) `Richard (Rick) Zamora`_
- Cope with missing HDF keys (:pr:`6204`) `Martin Durant`_
- Generalize ``describe`` & ``quantile`` apis (:pr:`5137`) `GALI PREM SAGAR`_
- 2.17.0
Array
- Small improvements to ``da.pad`` (:pr:`6213`) `Mark Boer`_
- Return ``tuple`` if multiple outputs in ``dask.array.apply_gufunc``, add test to check for tuple (:pr:`6207`) `Kai Mühlbauer`_
- Support ``stack`` with unknown chunksizes (:pr:`6195`) `swapna`_
Bag
- Random Choice on Bags (:pr:`6208`) `Antonio Ercole De Luca`_
Core
- Raise warning ``delayed.visualise()`` (:pr:`6216`) `Amol Umbarkar`_
- Ensure other pickle arguments work (:pr:`6229`) `John A Kirkham`_
- Overhaul ``fuse()`` config (:pr:`6198`) `Guido Imperiale`_
- Update ``dask.order.order`` to consider "next" nodes using both FIFO and LIFO (:pr:`5872`) `Erik Welch`_
DataFrame
- Use 0 as ``fill_value`` for more agg methods (:pr:`6245`) `Julia Signell`_
- Generalize ``rearrange_by_column_tasks`` and add ``DataFrame.shuffle`` (:pr:`6066`) `Richard (Rick) Zamora`_
- Xfail ``test_rolling_numba_engine`` for newer numba and older pandas (:pr:`6236`) `James Bourbeau`_
- Generalize ``fix_overlap`` (:pr:`6240`) `GALI PREM SAGAR`_
- Fix ``DataFrame.shape`` with no columns (:pr:`6237`) `noreentry`_
- Avoid shuffle when setting a presorted index with overlapping divisions (:pr:`6226`) `Krishan Bhasin`_
- Adjust the Parquet engine classes to allow more easily subclassing (:pr:`6211`) `Marius van Niekerk`_
- Fix ``dd.merge_asof`` with ``left_on='col'`` & ``right_index=True`` (:pr:`6192`) `noreentry`_
- Disable warning for ``concat`` (:pr:`6210`) `Tung Dang`_
- Move ``AUTO_BLOCKSIZE`` out of ``read_csv`` signature (:pr:`6214`) `Jim Crist-Harif`_
- ``.loc`` indexing with callable (:pr:`6185`) `Endre Mark Borza`_
- Avoid apply in ``_compute_sum_of_squares`` for groupby std agg (:pr:`6186`) `Richard (Rick) Zamora`_
- Minor correction to ``test_parquet`` (:pr:`6190`) `Brian Larsen`_
- Adhering to the passed pat for delimeter join and fix error message (:pr:`6194`) `GALI PREM SAGAR`_
- Skip ``test_to_parquet_with_get`` if no parquet libs available (:pr:`6188`) `Scott Sanderson`_
Documentation
- Added documentation for ``distributed.Event`` class (:pr:`6231`) `Nils Braun`_
- Doc write to remote (:pr:`6124`) `Ray Bell`_
- 2.16.0
Array
- Fix array general-reduction name (:pr:`6176`) `Nick Evans`_
- Replace ``dim`` with ``shape`` in ``unravel_index`` (:pr:`6155`) `Julia Signell`_
- Moment: handle all elements being masked (:pr:`5339`) `Gabe Joseph`_
Core
- Remove Redundant string concatenations in dask code-base (:pr:`6137`) `GALI PREM SAGAR`_
- Upstream compat (:pr:`6159`) `Tom Augspurger`_
- Ensure ``sizeof`` of dict and sequences returns an integer (:pr:`6179`) `James Bourbeau`_
- Estimate python collection sizes with random sampling (:pr:`6154`) `Florian Jetter`_
- Update test upstream (:pr:`6146`) `Tom Augspurger`_
- Skip test for mindeps build (:pr:`6144`) `Tom Augspurger`_
- Switch default multiprocessing context to "spawn" (:pr:`4003`) `Itamar Turner-Trauring`_
- Update manifest to include dask-schema (:pr:`6140`) `Ben Zaitlen`_
DataFrame
- Harden inconsistent-schema handling in pyarrow-based ``read_parquet`` (:pr:`6160`) `Richard (Rick) Zamora`_
- Add compute ``kwargs`` to methods that write data to disk (:pr:`6056`) `Krishan Bhasin`_
- Fix issue where ``unique`` returns an index like result from backends (:pr:`6153`) `GALI PREM SAGAR`_
- Fix internal error in ``map_partitions`` with collections (:pr:`6103`) `Tom Augspurger`_
Documentation
- Add phase of computation to index TOC (:pr:`6157`) `Ben Zaitlen`_
- Remove unused imports in scheduling script (:pr:`6138`) `James Lamb`_
- Fix indent (:pr:`6147`) `Martin Durant`_
- Add Tom's log config example (:pr:`6143`) `Martin Durant`_
- 2.15.0
Array
- Update ``dask.array.from_array`` to warn when passed a Dask collection (:pr:`6122`) `James Bourbeau`_
- Un-numpy like behaviour in ``dask.array.pad`` (:pr:`6042`) `Mark Boer`_
- Add support for ``repeats=0`` in ``da.repeat`` (:pr:`6080`) `James Bourbeau`_
Core
- Fix yaml layout for schema (:pr:`6132`) `Ben Zaitlen`_
- Configuration Reference (:pr:`6069`) `Ben Zaitlen`_
- Add configuration option to turn off task fusion (:pr:`6087`) `Matthew Rocklin`_
- Skip pyarrow on windows (:pr:`6094`) `Tom Augspurger`_
- Set limit to maximum length of fused key (:pr:`6057`) `Lucas Rademaker`_
- Add test against #6062 (:pr:`6072`) `Martin Durant`_
- Bump checkout action to v2 (:pr:`6065`) `James Bourbeau`_
DataFrame
- Generalize categorical calls to support cudf ``Categorical`` (:pr:`6113`) `GALI PREM SAGAR`_
- Avoid reading ``_metadata`` on every worker (:pr:`6017`) `Richard (Rick) Zamora`_
- Use ``group_split_dispatch`` and ``ignore_index`` in ``apply_concat_apply`` (:pr:`6119`) `Richard (Rick) Zamora`_
- Handle new (dtype) pandas metadata with pyarrow (:pr:`6090`) `Richard (Rick) Zamora`_
- Skip ``test_partition_on_cats_pyarrow`` if pyarrow is not installed (:pr:`6112`) `James Bourbeau`_
- Update DataFrame len to handle columns with the same name (:pr:`6111`) `James Bourbeau`_
- ``ArrowEngine`` bug fixes and test coverage (:pr:`6047`) `Richard (Rick) Zamora`_
- Added mode (:pr:`5958`) `Adam Lewis`_
* Mon Apr 20 2020 tchvatal@suse.com
- Drop py2 dep from py3 only package
* Sat Apr 11 2020 arun@gmx.de
- update to version 2.14.0:
* Array
+ Added np.iscomplexobj implementation (:pr:`6045`) Tom Augspurger
* Core
+ Update test_rearrange_disk_cleanup_with_exception to pass
without cloudpickle installed (:pr:`6052`) James Bourbeau
+ Fixed flaky test-rearrange (:pr:`5977`) Tom Augspurger
* DataFrame
+ Use _meta_nonempty for dtype casting in stack_partitions
(:pr:`6061`) mlondschien
+ Fix bugs in _metadata creation and filtering in parquet
ArrowEngine (:pr:`6023`) Richard (Rick) Zamora
* Documentation
+ DOC: Add name caveats (:pr:`6040`) Tom Augspurger
* Sat Mar 28 2020 arun@gmx.de
- update to version 2.13.0:
* Array
+ Support dtype and other keyword arguments in da.random
(:pr:`6030`) Matthew Rocklin
+ Register support for cupy sparse hstack/vstack (:pr:`5735`)
Corey J. Nolet
+ Force self.name to str in dask.array (:pr:`6002`) Chuanzhu Xu
* Bag
+ Set rename_fused_keys to None by default in bag.optimize
(:pr:`6000`) Lucas Rademaker
* Core
+ Copy dict in to_graphviz to prevent overwriting (:pr:`5996`)
JulianWgs
+ Stricter pandas xfail (:pr:`6024`) Tom Augspurger
+ Fix CI failures (:pr:`6013`) James Bourbeau
+ Update toolz to 0.8.2 and use tlz (:pr:`5997`) Ryan Grout
+ Move Windows CI builds to GitHub Actions (:pr:`5862`) James
Bourbeau
* DataFrame
+ Improve path-related exceptions in read_hdf (:pr:`6032`) psimaj
+ Fix dtype handling in dd.concat (:pr:`6006`) mlondschien
+ Handle cudf's leftsemi and leftanti joins (:pr:`6025`) Richard J
Zamora
+ Remove unused npartitions variable in dd.from_pandas
(:pr:`6019`) Daniel Saxton
+ Added shuffle to DataFrame.random_split (:pr:`5980`) petiop
* Documentation
+ Fix indentation in scheduler-overview docs (:pr:`6022`) Matthew
Rocklin
+ Update task graphs in optimize docs (:pr:`5928`) Julia Signell
+ Optionally get rid of intermediary boxes in visualize, and add
more labels (:pr:`5976`) Julia Signell
* Sun Mar 08 2020 arun@gmx.de
- update to version 2.12.0:
* Array
+ Improve reuse of temporaries with numpy (:pr:`5933`) Bruce Merry
+ Make map_blocks with block_info produce a Blockwise (:pr:`5896`)
Bruce Merry
+ Optimize make_blockwise_graph (:pr:`5940`) Bruce Merry
+ Fix axes ordering in da.tensordot (:pr:`5975`) Gil Forsyth
+ Adds empty mode to array.pad (:pr:`5931`) Thomas J Fan
* Core
+ Remove toolz.memoize dependency in dask.utils (:pr:`5978`) Ryan
Grout
+ Close pool leaking subprocess (:pr:`5979`) Tom Augspurger
+ Pin numpydoc to 0.8.0 (fix double autoescape) (:pr:`5961`) Gil
Forsyth
+ Register deterministic tokenization for range objects
(:pr:`5947`) James Bourbeau
+ Unpin msgpack in CI (:pr:`5930`) JAmes Bourbeau
+ Ensure dot results are placed in unique files. (:pr:`5937`)
Elliott Sales de Andrade
+ Add remaining optional dependencies to Travis 3.8 CI build
environment (:pr:`5920`) James Bourbeau
* DataFrame
+ Skip parquet getitem optimization for some keys (:pr:`5917`) Tom
Augspurger
+ Add ignore_index argument to rearrange_by_column code path
(:pr:`5973`) Richard J Zamora
+ Add DataFrame and Series memory_usage_per_partition methods
(:pr:`5971`) James Bourbeau
+ xfail test_describe when using Pandas 0.24.2 (:pr:`5948`) James
Bourbeau
+ Implement dask.dataframe.to_numeric (:pr:`5929`) Julia Signell
+ Add new error message content when columns are in a different
order (:pr:`5927`) Julia Signell
+ Use shallow copy for assign operations when possible
(:pr:`5740`) Richard J Zamora
* Documentation
+ Changed above to below in dask.array.triu docs (:pr:`5984`)
Henrik Andersson
+ Array slicing: fix typo in slice_with_int_dask_array error
message (:pr:`5981`) Gabe Joseph
+ Grammar and formatting updates to docstrings (:pr:`5963`) James
Lamb
+ Update develop doc with conda option (:pr:`5939`) Ray Bell
+ Update title of DataFrame extension docs (:pr:`5954`) James
Bourbeau
+ Fixed typos in documentation (:pr:`5962`) James Lamb
+ Add original class or module as a kwarg on _bind_* methods
(:pr:`5946`) Julia Signell
+ Add collect list example (:pr:`5938`) Ray Bell
+ Update optimization doc for python 3 (:pr:`5926`) Julia Signell
* Sat Feb 22 2020 arun@gmx.de
- specfile:
* require pandas >= 0.23
- update to version 2.11.0:
* Array
+ Cache result of Array.shape (:pr:`5916`) Bruce Merry
+ Improve accuracy of estimate_graph_size for rechunk (:pr:`5907`)
Bruce Merry
+ Skip rechunk steps that do not alter chunking (:pr:`5909`) Bruce
Merry
+ Support dtype and other kwargs in coarsen (:pr:`5903`) Matthew
Rocklin
+ Push chunk override from map_blocks into blockwise (:pr:`5895`)
Bruce Merry
+ Avoid using rewrite_blockwise for a singleton (:pr:`5890`) Bruce
Merry
+ Optimize slices_from_chunks (:pr:`5891`) Bruce Merry
+ Avoid unnecessary __getitem__ in block() when chunks have
correct dimensionality (:pr:`5884`) Thomas Robitaille
* Bag
+ Add include_path option for dask.bag.read_text (:pr:`5836`)
Yifan Gu
+ Fixes ValueError in delayed execution of bagged NumPy array
(:pr:`5828`) Surya Avala
* Core
+ CI: Pin msgpack (:pr:`5923`) Tom Augspurger
+ Rename test_inner to test_outer (:pr:`5922`) Shiva Raisinghani
+ quote should quote dicts too (:pr:`5905`) Bruce Merry
+ Register a normalizer for literal (:pr:`5898`) Bruce Merry
+ Improve layer name synthesis for non-HLGs (:pr:`5888`) Bruce
Merry
+ Replace flake8 pre-commit-hook with upstream (:pr:`5892`) Julia
Signell
+ Call pip as a module to avoid warnings (:pr:`5861`) Cyril
Shcherbin
+ Close ThreadPool at exit (:pr:`5852`) Tom Augspurger
+ Remove dask.dataframe import in tokenization code (:pr:`5855`)
James Bourbeau
* DataFrame
+ Require pandas>=0.23 (:pr:`5883`) Tom Augspurger
+ Remove lambda from dataframe aggregation (:pr:`5901`) Matthew
Rocklin
+ Fix exception chaining in dataframe/__init__.py (:pr:`5882`) Ram
Rachum
+ Add support for reductions on empty dataframes (:pr:`5804`)
Shiva Raisinghani
+ Expose sort= argument for groupby (:pr:`5801`) Richard J Zamora
+ Add df.empty property (:pr:`5711`) rockwellw
+ Use parquet read speed-ups from
fastparquet.api.paths_to_cats. (:pr:`5821`) Igor Gotlibovych
* Documentation
+ Deprecate doc_wraps (:pr:`5912`) Tom Augspurger
+ Update array internal design docs for HighLevelGraph era
(:pr:`5889`) Bruce Merry
+ Move over dashboard connection docs (:pr:`5877`) Matthew Rocklin
+ Move prometheus docs from distributed.dask.org (:pr:`5876`)
Matthew Rocklin
+ Removing duplicated DO block at the end (:pr:`5878`) K.-Michael
Aye
+ map_blocks see also (:pr:`5874`) Tom Augspurger
+ More derived from (:pr:`5871`) Julia Signell
+ Fix typo (:pr:`5866`) Yetunde Dada
+ Fix typo in cloud.rst (:pr:`5860`) Andrew Thomas
+ Add note pointing to code of conduct and diversity statement
(:pr:`5844`) Matthew Rocklin
* Sat Feb 08 2020 arun@gmx.de
- update to version 2.10.1:
* Fix Pandas 1.0 version comparison (:pr:`5851`) Tom Augspurger
* Fix typo in distributed diagnostics documentation (:pr:`5841`)
Gerrit Holl
- changes from version 2.10.0:
* Support for pandas 1.0's new BooleanDtype and StringDtype
(:pr:`5815`) Tom Augspurger
* Compatibility with pandas 1.0's API breaking changes and
deprecations (:pr:`5792`) Tom Augspurger
* Fixed non-deterministic tokenization of some extension-array
backed pandas objects (:pr:`5813`) Tom Augspurger
* Fixed handling of dataclass class objects in collections
(:pr:`5812`) Matteo De Wint
* Fixed resampling with tz-aware dates when one of the endpoints
fell in a non-existent time (:pr:`5807`) dfonnegra
* Delay initial Zarr dataset creation until the computation occurs
(:pr:`5797`) Chris Roat
* Use parquet dataset statistics in more cases with the pyarrow
engine (:pr:`5799`) Richard J Zamora
* Fixed exception in groupby.std() when some of the keys were large
integers (:pr:`5737`) H. Thomson Comer
* Sat Jan 18 2020 arun@gmx.de
- update to version 2.9.2:
* Array
+ Unify chunks in broadcast_arrays (:pr:`5765`) Matthew Rocklin
* Core
+ xfail CSV encoding tests (:pr:`5791`) Tom Augspurger
+ Update order to handle empty dask graph (:pr:`5789`) James
Bourbeau
+ Redo dask.order.order (:pr:`5646`) Erik Welch
* DataFrame
+ Add transparent compression for on-disk shuffle with partd
(:pr:`5786`) Christian Wesp
+ Fix repr for empty dataframes (:pr:`5781`) Shiva Raisinghani
+ Pandas 1.0.0RC0 compat (:pr:`5784`) Tom Augspurger
+ Remove buggy assertions (:pr:`5783`) Tom Augspurger
+ Pandas 1.0 compat (:pr:`5782`) Tom Augspurger
+ Fix bug in pyarrow-based read_parquet on partitioned datasets
(:pr:`5777`) Richard J Zamora
+ Compat for pandas 1.0 (:pr:`5779`) Tom Augspurger
+ Fix groupby/mean error with with categorical index (:pr:`5776`)
Richard J Zamora
+ Support empty partitions when performing cumulative aggregation
(:pr:`5730`) Matthew Rocklin
+ set_index accepts single-item unnested list (:pr:`5760`) Wes
Roach
+ Fixed partitioning in set index for ordered Categorical
(:pr:`5715`) Tom Augspurger
* Documentation
+ Note additional use case for normalize_token.register
(:pr:`5766`) Thomas A Caswell
+ Update bag repartition docstring (:pr:`5772`) Timost
+ Small typos (:pr:`5771`) Maarten Breddels
+ Fix typo in Task Expectations docs (:pr:`5767`) James Bourbeau
+ Add docs section on task expectations to graph page (:pr:`5764`)
Devin Petersohn
* Mon Jan 06 2020 arun@gmx.de
- specfile:
* update copyright year
- update to version 2.9.1:
* Array
+ Support Array.view with dtype=None (:pr:`5736`) Anderson
Banihirwe
+ Add dask.array.nanmedian (:pr:`5684`) Deepak Cherian
* Core
+ xfail test_temporary_directory on Python 3.8 (:pr:`5734`) James
Bourbeau
+ Add support for Python 3.8 (:pr:`5603`) James Bourbeau
+ Use id to dedupe constants in rewrite_blockwise (:pr:`5696`) Jim
Crist
* DataFrame
+ Raise error when converting a dask dataframe scalar to a boolean
(:pr:`5743`) James Bourbeau
+ Ensure dataframe groupby-variance is greater than zero
(:pr:`5728`) Matthew Rocklin
+ Fix DataFrame.__iter__ (:pr:`5719`) Tom Augspurger
+ Support Parquet filters in disjunctive normal form, like PyArrow
(:pr:`5656`) Matteo De Wint
+ Auto-detect categorical columns in ArrowEngine-based
read_parquet (:pr:`5690`) Richard J Zamora
+ Skip parquet getitem optimization tests if no engine found
(:pr:`5697`) James Bourbeau
+ Fix independent optimization of parquet-getitem (:pr:`5613`) Tom
Augspurger
* Documentation
+ Update helm config doc (:pr:`5750`) Ray Bell
+ Link to examples.dask.org in several places (:pr:`5733`) Tom
Augspurger
+ Add missing " in performance report example (:pr:`5724`) James
Bourbeau
+ Resolve several documentation build warnings (:pr:`5685`) James
Bourbeau
+ add info on performance_report (:pr:`5713`) Ben Zaitlen
+ Add more docs disclaimers (:pr:`5710`) Julia Signell
+ Fix simple typo: wihout -> without (:pr:`5708`) Tim Gates
+ Update numpydoc dependency (:pr:`5694`) James Bourbeau
* Sat Dec 07 2019 arun@gmx.de
- update to version 2.9.0:
* Array
+ Fix da.std to work with NumPy arrays (:pr:`5681`) James Bourbeau
* Core
+ Register sizeof functions for Numba and RMM (:pr:`5668`) John A
Kirkham
+ Update meeting time (:pr:`5682`) Tom Augspurger
* DataFrame
+ Modify dd.DataFrame.drop to use shallow copy (:pr:`5675`)
Richard J Zamora
+ Fix bug in _get_md_row_groups (:pr:`5673`) Richard J Zamora
+ Close sqlalchemy engine after querying DB (:pr:`5629`) Krishan
Bhasin
+ Allow dd.map_partitions to not enforce meta (:pr:`5660`) Matthew
Rocklin
+ Generalize concat_unindexed_dataframes to support cudf-backend
(:pr:`5659`) Richard J Zamora
+ Add dataframe resample methods (:pr:`5636`) Ben Zaitlen
+ Compute length of dataframe as length of first column
(:pr:`5635`) Matthew Rocklin
* Documentation
+ Doc fixup (:pr:`5665`) James Bourbeau
+ Update doc build instructions (:pr:`5640`) James Bourbeau
+ Fix ADL link (:pr:`5639`) Ray Bell
+ Add documentation build (:pr:`5617`) James Bourbeau
* Sun Nov 24 2019 arun@gmx.de
- update to version 2.8.1:
* Array
+ Use auto rechunking in da.rechunk if no value given (:pr:`5605`)
Matthew Rocklin
* Core
+ Add simple action to activate GH actions (:pr:`5619`) James
Bourbeau
* DataFrame
+ Fix "file_path_0" bug in aggregate_row_groups (:pr:`5627`)
Richard J Zamora
+ Add chunksize argument to read_parquet (:pr:`5607`) Richard J
Zamora
+ Change test_repartition_npartitions to support arch64
architecture (:pr:`5620`) ossdev07
+ Categories lost after groupby + agg (:pr:`5423`) Oliver Hofkens
+ Fixed relative path issue with parquet metadata file
(:pr:`5608`) Nuno Gomes Silva
+ Enable gpu-backed covariance/correlation in dataframes
(:pr:`5597`) Richard J Zamora
* Documentation
+ Fix institutional faq and unknown doc warnings (:pr:`5616`)
James Bourbeau
+ Add doc for some utils (:pr:`5609`) Tom Augspurger
+ Removes html_extra_path (:pr:`5614`) James Bourbeau
+ Fixed See Also referencence (:pr:`5612`) Tom Augspurger
* Sat Nov 16 2019 arun@gmx.de
- update to version 2.8.0:
* Array
+ Implement complete dask.array.tile function (:pr:`5574`) Bouwe
Andela
+ Add median along an axis with automatic rechunking (:pr:`5575`)
Matthew Rocklin
+ Allow da.asarray to chunk inputs (:pr:`5586`) Matthew Rocklin
* Bag
+ Use key_split in Bag name (:pr:`5571`) Matthew Rocklin
* Core
+ Switch Doctests to Py3.7 (:pr:`5573`) Ryan Nazareth
+ Relax get_colors test to adapt to new Bokeh release (:pr:`5576`)
Matthew Rocklin
+ Add dask.blockwise.fuse_roots optimization (:pr:`5451`) Matthew
Rocklin
+ Add sizeof implementation for small dicts (:pr:`5578`) Matthew
Rocklin
+ Update fsspec, gcsfs, s3fs (:pr:`5588`) Tom Augspurger
* DataFrame
+ Add dropna argument to groupby (:pr:`5579`) Richard J Zamora
+ Revert "Remove import of dask_cudf, which is now a part of cudf
(:pr:`5568`)" (:pr:`5590`) Matthew Rocklin
* Documentation
+ Add best practice for dask.compute function (:pr:`5583`) Matthew
Rocklin
+ Create FUNDING.yml (:pr:`5587`) Gina Helfrich
+ Add screencast for coordination primitives (:pr:`5593`) Matthew
Rocklin
+ Move funding to .github repo (:pr:`5589`) Tom Augspurger
+ Update calendar link (:pr:`5569`) Tom Augspurger
* Mon Nov 11 2019 toddrme2178@gmail.com
- Update to 2.7.0
+ Array
* Reuse code for assert_eq util method
* Update da.array to always return a dask array
* Skip transpose on trivial inputs
* Avoid NumPy scalar string representation in tokenize
* Remove unnecessary tiledb shape constraint
* Removes bytes from sparse array HTML repr
+ Core
* Drop Python 3.5
* Update the use of fixtures in distributed tests
* Changed deprecated bokeh-port to dashboard-address
* Avoid updating with identical dicts in ensure_dict
* Test Upstream
* Accelerate reverse_dict
* Update test_imports.sh
* Support cgroups limits on cpu count in multiprocess and threaded schedulers
* Update minimum pyarrow version on CI
* Make cloudpickle optional
+ DataFrame
* Add an example of index_col usage
* Explicitly use iloc for row indexing
* Accept dask arrays on columns assignemnt
* Implement unique and value_counts for SeriesGroupBy
* Add sizeof definition for pyarrow tables and columns
* Enable row-group task partitioning in pyarrow-based read_parquet
* Removes npartitions='auto' from dd.merge docstring
* Apply enforce error message shows non-overlapping columns.
* Optimize meta_nonempty for repetitive dtypes
* Remove import of dask_cudf, which is now a part of cudf
+ Documentation
* Make capitalization more consistent in FAQ docs
* Add CONTRIBUTING.md
* Document optional dependencies
* Update helm chart docs to reflect new chart repo
* Add Resampler to API docs
* Fix typo in read_sql_table
* Add adaptive deployments screencast
- Update to 2.6.0
+ Core
* Call ``ensure_dict`` on graphs before entering ``toolz.merge``
* Consolidating hash dispatch functions
+ DataFrame
* Support Python 3.5 in Parquet code
* Avoid identity check in ``warn_dtype_mismatch``
* Enable unused groupby tests
* Remove old parquet and bcolz dataframe optimizations
* Add getitem optimization for ``read_parquet``
* Use ``_constructor_sliced`` method to determine Series type
* Fix map(series) for unsorted base series index
* Fix ``KeyError`` with Groupby label
+ Documentation
* Use Zoom meeting instead of appear.in
* Added curated list of resources
* Update SSH docs to include ``SSHCluster``
* Update "Why Dask?" page
* Fix typos in docstrings
- Update to 2.5.2
+ Array
* Correct chunk size logic for asymmetric overlaps
* Make da.unify_chunks public API
+ DataFrame
* Fix dask.dataframe.fillna handling of Scalar object
+ Documentation
* Remove boxes in Spark comparison page
* Add latest presentations
* Update cloud documentation
- Update to 2.5.0
+ Core
* Add sentinel no_default to get_dependencies task
* Update fsspec version
* Remove PY2 checks
+ DataFrame
* Add option to not check meta in dd.from_delayed
* Fix test_timeseries_nulls_in_schema failures with pyarrow master
* Reduce read_metadata output size in pyarrow/parquet
* Test numeric edge case for repartition with npartitions.
* Unxfail pandas-datareader test
* Add DataFrame.pop implementation
* Enable merge/set_index for cudf-based dataframes with cupy ``values``
* drop_duplicates support for positional subset parameter
+ Documentation
* Add screencasts to array, bag, dataframe, delayed, futures and setup
* Fix delimeter parsing documentation
* Update overview image
- Update to 2.4.0
+ Array
* Adds explicit ``h5py.File`` mode
* Provides method to compute unknown array chunks sizes
* Ignore runtime warning in Array ``compute_meta``
* Add ``_meta`` to ``Array.__dask_postpersist__``
* Fixup ``da.asarray`` and ``da.asanyarray`` for datetime64 dtype and xarray objects
* Add shape implementation
* Add chunktype to array text repr
* Array.random.choice: handle array-like non-arrays
+ Core
* Remove deprecated code
* Fix ``funcname`` when vectorized func has no ``__name__``
* Truncate ``funcname`` to avoid long key names
* Add support for ``numpy.vectorize`` in ``funcname``
* Fixed HDFS upstream test
* Support numbers and None in ``parse_bytes``/``timedelta``
* Fix tokenizing of subindexes on memmapped numpy arrays
* Upstream fixups
+ DataFrame
* Allow pandas to cast type of statistics
* Preserve index dtype after applying ``dd.pivot_table``
* Implement explode for Series and DataFrame
* ``set_index`` on categorical fails with less categories than partitions
* Support output to a single CSV file
* Add ``groupby().transform()``
* Adding filter kwarg to pyarrow dataset call
* Implement and check compression defaults for parquet
* Pass sqlalchemy params to delayed objects
* Fixing schema handling in arrow-parquet
* Add support for DF and Series ``groupby().idxmin/max()``
* Add correlation calculation and add test
+ Documentation
* Numpy docstring standard has moved
* Reference correct NumPy array name
* Minor edits to Array chunk documentation
* Add methods to API docs
* Add namespacing to configuration example
* Add get_task_stream and profile to the diagnostics page
* Add best practice to load data with Dask
* Update ``institutional-faq.rst``
* Add threads and processes note to the best practices
* Update cuDF links
* Fixed small typo with parentheses placement
* Update link in reshape docstring
- Update to 2.3.0
+ Array
* Raise exception when ``from_array`` is given a dask array
* Avoid adjusting gufunc's meta dtype twice
* Add ``meta=`` keyword to map_blocks and add test with sparse
* Add rollaxis and moveaxis
* Always increment old chunk index
* Shuffle dask array
* Fix ordering when indexing a dask array with a bool dask array
+ Bag
* Add workaround for memory leaks in bag generators
+ Core
* Set strict xfail option
* test-upstream
* Fixed HDFS CI failure
* Error nicely if no file size inferred
* A few changes to ``config.set``
* Fixup black string normalization
* Pin NumPy in windows tests
* Ensure parquet tests are skipped if fastparquet and pyarrow not installed
* Add fsspec to readthedocs
* Bump NumPy and Pandas to 1.17 and 0.25 in CI test
+ DataFrame
* Fix ``DataFrame.query`` docstring (incorrect numexpr API)
* Parquet metadata-handling improvements
* Improve messaging around sorted parquet columns for index
* Add ``rearrange_by_divisions`` and ``set_index`` support for cudf
* Fix ``groupby.std()`` with integer colum names
* Add ``Series.__iter__``
* Generalize ``hash_pandas_object`` to work for non-pandas backends
* Add rolling cov
* Add columns argument in drop function
+ Documentation
* Update institutional FAQ doc
* Add draft of institutional FAQ
* Make boxes for dask-spark page
* Add motivation for shuffle docs
* Fix links and API entries for best-practices
* Remove "bytes" (internal data ingestion) doc page
* Redirect from our local distributed page to distributed.dask.org
* Cleanup API page
* Remove excess endlines from install docs
* Remove item list in phases of computation doc
* Remove custom graphs from the TOC sidebar
* Remove experimental status of custom collections
* Adds table of contents to Why Dask?
* Moves bag overview to top-level bag page
* Remove use-cases in favor of stories.dask.org
* Removes redundant TOC information in index.rst
* Elevate dashboard in distributed diagnostics documentation
* Updates "add" layer in HLG docs example
* Update GUFunc documentation
- Update to 2.2.0
+ Array
* Use da.from_array(..., asarray=False) if input follows NEP-18
* Add missing attributes to from_array documentation
* Fix meta computation for some reduction functions
* Raise informative error in to_zarr if unknown chunks
* Remove invalid pad tests
* Ignore NumPy warnings in compute_meta
* Fix kurtosis calc for single dimension input array
* Support Numpy 1.17 in tests
+ Bag
* Supply pool to bag test to resolve intermittent failure
+ Core
* Base dask on fsspec
* Various upstream compatibility fixes
* Make distributed tests optional again.
* Fix HDFS in dask
* Ignore some more invalid value warnings.
+ DataFrame
* Fix pd.MultiIndex size estimate
* Generalizing has_known_categories
* Refactor Parquet engine
* Add divide method to series and dataframe
* fix flaky partd test
* Adjust is_dataframe_like to adjust for value_counts change
* Generalize rolling windows to support non-Pandas dataframes
* Avoid unnecessary aggregation in pivot_table
* Add column names to apply_and_enforce error message
* Add schema keyword argument to to_parquet
* Remove recursion error in accessors
* Allow fastparquet to handle gather_statistics=False for file lists
+ Documentation
* Adds NumFOCUS badge to the README
* Update developer docs
* Document DataFrame.set_index computataion behavior
* Use pip install . instead of calling setup.py
* Close user survey
* Fix Google Calendar meeting link
* Add docker image customization example
* Update remote-data-services after fsspec
* Fix typo in spark.rstZ
* Update setup/python docs for async/await API
* Update Local Storage HPC documentation
* Tue Jul 23 2019 toddrme2178@gmail.com
- Update to 2.1.0
+ Array
* Add ``recompute=`` keyword to ``svd_compressed`` for lower-memory use
* Change ``__array_function__`` implementation for backwards compatibility
* Added ``dtype`` and ``shape`` kwargs to ``apply_along_axis``
* Fix reduction with empty tuple axis
* Drop size 0 arrays in ``stack``
+ Core
* Removes index keyword from pandas ``to_parquet`` call
* Fixes upstream dev CI build installation
* Ensure scalar arrays are not rendered to SVG
* Environment creation overhaul
* s3fs, moto compatibility
* pytest 5.0 compat
+ DataFrame
* Fix ``compute_meta`` recursion in blockwise
* Remove hard dependency on pandas in ``get_dummies``
* Check dtypes unchanged when using ``DataFrame.assign``
* Fix cumulative functions on tables with more than 1 partition
* Handle non-divisible sizes in repartition
* Handles timestamp and ``preserve_index`` changes in pyarrow
* Fix undefined ``meta`` for ``str.split(expand=False)``
* Removed checks used for debugging ``merge_asof``
* Don't use type when getting accessor in dataframes
* Add ``melt`` as a method of Dask DataFrame
* Adds path-like support to ``to_hdf``
+ Documentation
* Point to latest K8s setup article in JupyterHub docs
* Changes vizualize to visualize
* Fix ``from_sequence`` typo in delayed best practices
* Add user survey link to docs
* Fixes typo in optimization docs
* Update community meeting information
- Update to 2.0.0
+ Array
* Support automatic chunking in da.indices
* Err if there are no arrays to stack
* Asymmetrical Array Overlap
* Dispatch concatenate where possible within dask array
* Fix tokenization of memmapped numpy arrays on different part of same file
* Preserve NumPy condition in da.asarray to preserve output shape
* Expand foo_like_safe usage
* Defer order/casting einsum parameters to NumPy implementation
* Remove numpy warning in moment calculation
* Fix meta_from_array to support Xarray test suite
* Cache chunk boundaries for integer slicing
* Drop size 0 arrays in concatenate
* Raise ValueError if concatenate is given no arrays
* Promote types in `concatenate` using `_meta`
* Add chunk type to html repr in Dask array
* Add Dask Array._meta attribute
> Fix _meta slicing of flexible types
> Minor meta construction cleanup in concatenate
> Further relax Array meta checks for Xarray
> Support meta= keyword in da.from_delayed
> Concatenate meta along axis
> Use meta in stack
> Move blockwise_meta to more general compute_meta function
* Alias .partitions to .blocks attribute of dask arrays
* Drop outdated `numpy_compat` functions
* Allow da.eye to support arbitrary chunking sizes with chunks='auto'
* Fix CI warnings in dask.array tests
* Make map_blocks work with drop_axis + block_info
* Add SVG image and table in Array._repr_html_
* ufunc: avoid __array_wrap__ in favor of __array_function__
* Ensure trivial padding returns the original array
* Test ``da.block`` with 0-size arrays
+ Core
* **Drop Python 2.7**
* Quiet dependency installs in CI
* Raise on warnings in tests
* Add a diagnostics extra to setup.py (includes bokeh)
* Add newline delimter keyword to OpenFile
* Overload HighLevelGraphs values method
* Add __await__ method to Dask collections
* Also ignore AttributeErrors which may occur if snappy (not python-snappy) is installed
* Canonicalize key names in config.rename
* Bump minimum partd to 0.3.10
* Catch async def SyntaxError
* catch IOError in ensure_file
* Cleanup CI warnings
* Move distributed's parse and format functions to dask.utils
* Apply black formatting
* Package license file in wheels
+ DataFrame
* Add an optional partition_size parameter to repartition
* merge_asof and prefix_reduction
* Allow dataframes to be indexed by dask arrays
* Avoid deprecated message parameter in pytest.raises
* Update test_to_records to test with lengths argument(:pr:`4515`) `asmith26`_
* Remove pandas pinning in Dataframe accessors
* Fix correlation of series with same names
* Map Dask Series to Dask Series
* Warn in dd.merge on dtype warning
* Add groupby Covariance/Correlation
* keep index name with to_datetime
* Add Parallel variance computation for dataframes
* Add divmod implementation to arrays and dataframes
* Add documentation for dataframe reshape methods
* Avoid use of pandas.compat
* Added accessor registration for Series, DataFrame, and Index
* Add read_function keyword to read_json
* Provide full type name in check_meta
* Correctly estimate bytes per row in read_sql_table
* Adding support of non-numeric data to describe()
* Scalars for extension dtypes.
* Call head before compute in dd.from_delayed
* Add support for rolling operations with larger window that partition size in DataFrames with Time-based index
* Update groupby-apply doc with warning
* Change groupby-ness tests in `_maybe_slice`
* Add master best practices document
* Add document for how Dask works with GPUs
* Add cli API docs
* Ensure concat output has coherent dtypes
* Fixes pandas_datareader dependencies installation
* Accept pathlib.Path as pattern in read_hdf
+ Documentation
* Move CLI API docs to relavant pages
* Add to_datetime function to dataframe API docs `Matthew Rocklin`_
* Add documentation entry for dask.array.ma.average
* Add bag.read_avro to bag API docs
* Fix typo
* Docs: Drop support for Python 2.7
* Remove requirement to modify changelog
* Add documentation about meta column order
* Add documentation note in DataFrame.shift
* Docs: Fix typo
* Put do/don't into boxes for delayed best practice docs
* Doc fixups
* Add quansight to paid support doc section
* Add document for custom startup
* Allow `utils.derive_from` to accept functions, apply across array
* Add "Avoid Large Partitions" section to best practices
* Update URL for joblib to new website hosting their doc (:pr:`4816`) `Christian Hudon`_
* Tue May 21 2019 pgajdos@suse.com
- version update to 1.2.2
+ Array
* Clarify regions kwarg to array.store (:pr:`4759`) `Martin Durant`_
* Add dtype= parameter to da.random.randint (:pr:`4753`) `Matthew Rocklin`_
* Use "row major" rather than "C order" in docstring (:pr:`4452`) `@asmith26`_
* Normalize Xarray datasets to Dask arrays (:pr:`4756`) `Matthew Rocklin`_
* Remove normed keyword in da.histogram (:pr:`4755`) `Matthew Rocklin`_
+ Bag
* Add key argument to Bag.distinct (:pr:`4423`) `Daniel Severo`_
+ Core
* Add core dask config file (:pr:`4774`) `Matthew Rocklin`_
* Add core dask config file to MANIFEST.in (:pr:`4780`) `James Bourbeau`_
* Enabling glob with HTTP file-system (:pr:`3926`) `Martin Durant`_
* HTTPFile.seek with whence=1 (:pr:`4751`) `Martin Durant`_
* Remove config key normalization (:pr:`4742`) `Jim Crist`_
+ DataFrame
* Remove explicit references to Pandas in dask.dataframe.groupby (:pr:`4778`) `Matthew Rocklin`_
* Add support for group_keys kwarg in DataFrame.groupby() (:pr:`4771`) `Brian Chu`_
* Describe doc (:pr:`4762`) `Martin Durant`_
* Remove explicit pandas check in cumulative aggregations (:pr:`4765`) `Nick Becker`_
* Added meta for read_json and test (:pr:`4588`) `Abhinav Ralhan`_
* Add test for dtype casting (:pr:`4760`) `Martin Durant`_
* Document alignment in map_partitions (:pr:`4757`) `Jim Crist`_
* Implement Series.str.split(expand=True) (:pr:`4744`) `Matthew Rocklin`_
+ Documentation
* Tweaks to develop.rst from trying to run tests (:pr:`4772`) `Christian Hudon`_
* Add document describing phases of computation (:pr:`4766`) `Matthew Rocklin`_
* Point users to Dask-Yarn from spark documentation (:pr:`4770`) `Matthew Rocklin`_
* Update images in delayed doc to remove labels (:pr:`4768`) `Martin Durant`_
* Explain intermediate storage for dask arrays (:pr:`4025`) `John A Kirkham`_
* Specify bash code-block in array best practices (:pr:`4764`) `James Bourbeau`_
* Add array best practices doc (:pr:`4705`) `Matthew Rocklin`_
* Update optimization docs now that cull is not automatic (:pr:`4752`) `Matthew Rocklin`_
- version update to 1.2.1
+ Array
* Fix map_blocks with block_info and broadcasting (:pr:`4737`) `Bruce Merry`_
* Make 'minlength' keyword argument optional in da.bincount (:pr:`4684`) `Genevieve Buckley`_
* Add support for map_blocks with no array arguments (:pr:`4713`) `Bruce Merry`_
* Add dask.array.trace (:pr:`4717`) `Danilo Horta`_
* Add sizeof support for cupy.ndarray (:pr:`4715`) `Peter Andreas Entschev`_
* Add name kwarg to from_zarr (:pr:`4663`) `Michael Eaton`_
* Add chunks='auto' to from_array (:pr:`4704`) `Matthew Rocklin`_
* Raise TypeError if dask array is given as shape for da.ones, zeros, empty or full (:pr:`4707`) `Genevieve Buckley`_
* Add TileDB backend (:pr:`4679`) `Isaiah Norton`_
+ Core
* Delay long list arguments (:pr:`4735`) `Matthew Rocklin`_
* Bump to numpy >= 1.13, pandas >= 0.21.0 (:pr:`4720`) `Jim Crist`_
* Remove file "test" (:pr:`4710`) `James Bourbeau`_
* Reenable development build, uses upstream libraries (:pr:`4696`) `Peter Andreas Entschev`_
* Remove assertion in HighLevelGraph constructor (:pr:`4699`) `Matthew Rocklin`_
+ DataFrame
* Change cum-aggregation last-nonnull-value algorithm (:pr:`4736`) `Nick Becker`_
* Fixup series-groupby-apply (:pr:`4738`) `Jim Crist`_
* Refactor array.percentile and dataframe.quantile to use t-digest (:pr:`4677`) `Janne Vuorela`_
* Allow naive concatenation of sorted dataframes (:pr:`4725`) `Matthew Rocklin`_
* Fix perf issue in dd.Series.isin (:pr:`4727`) `Jim Crist`_
* Remove hard pandas dependency for melt by using methodcaller (:pr:`4719`) `Nick Becker`_
* A few dataframe metadata fixes (:pr:`4695`) `Jim Crist`_
* Add Dataframe.replace (:pr:`4714`) `Matthew Rocklin`_
* Add 'threshold' parameter to pd.DataFrame.dropna (:pr:`4625`) `Nathan Matare`_
+ Documentation
* Add warning about derived docstrings early in the docstring (:pr:`4716`) `Matthew Rocklin`_
* Create dataframe best practices doc (:pr:`4703`) `Matthew Rocklin`_
* Uncomment dask_sphinx_theme (:pr:`4728`) `James Bourbeau`_
* Fix minor typo fix in a Queue/fire_and_forget example (:pr:`4709`) `Matthew Rocklin`_
* Update from_pandas docstring to match signature (:pr:`4698`) `James Bourbeau`_
* Mon Apr 22 2019 toddrme2178@gmail.com
- Update to version 1.2.0
+ Array
* Fixed mean() and moment() on sparse arrays
* Add test for NEP-18.
* Allow None to say "no chunking" in normalize_chunks
* Fix limit value in auto_chunks
+ Core
* Updated diagnostic bokeh test for compatibility with bokeh>=1.1.0
* Adjusts codecov's target/threshold, disable patch
* Always start with empty http buffer, not None
+ DataFrame
* Propagate index dtype and name when create dask dataframe from array
* Fix ordering of quantiles in describe
* Clean up and document rearrange_column_by_tasks
* Mark some parquet tests xfail
* Fix parquet breakages with arrow 0.13.0
* Allow sample to be False when reading CSV from a remote URL
* Fix timezone metadata inference on parquet load
* Use is_dataframe/index_like in dd.utils
* Add min_count parameter to groupby sum method
* Correct quantile to handle unsorted quantiles
+ Documentation
* Add delayed extra dependencies to install docs
- Update to version 1.1.5
+ Array
* Ensure that we use the dtype keyword in normalize_chunks
+ Core
* Use recursive glob in LocalFileSystem
* Avoid YAML deprecation
* Fix CI and add set -e
* Support builtin sequence types in dask.visualize
* unpack/repack orderedDict
* Add da.random.randint to API docs
* Add zarr to CI environment
* Enable codecov
+ DataFrame
* Support setting the index
* DataFrame.itertuples accepts index, name kwargs
* Support non-Pandas series in dd.Series.unique
* Replace use of explicit type check with ._is_partition_type predicate
* Remove additional pandas warnings in tests
* Check object for name/dtype attributes rather than type
* Fix comparison against pd.Series
* Fixing warning from setting categorical codes to floats
* Fix renaming on index to_frame method
* Fix divisions when joining two single-partition dataframes
* Warn if partitions overlap in compute_divisions
* Give informative meta= warning
* Add informative error message to Series.__getitem__
* Add clear exception message when using index or index_col in read_csv
+ Documentation
* Add documentation for custom groupby aggregations
* Docs dataframe joins
* Specify fork-based contributions
* correct to_parquet example in docs
* Update and secure several references
* Tue Apr 09 2019 pgajdos@suse.com
- do not require optional python2-sparse for testing, python-sparse
is going to be python3-only
* Mon Mar 11 2019 tchvatal@suse.com
- Update to 1.1.4:
* Various bugfixes in 1.1 branch
* Wed Feb 20 2019 tchvatal@suse.com
- Enable tests and switch to multibuild
* Sat Feb 02 2019 arun@gmx.de
- update to version 1.1.1:
* Array
+ Add support for cupy.einsum (:pr:`4402`) Johnnie Gray
+ Provide byte size in chunks keyword (:pr:`4434`) Adam Beberg
+ Raise more informative error for histogram bins and range
(:pr:`4430`) James Bourbeau
* DataFrame
+ Lazily register more cudf functions and move to backends file
(:pr:`4396`) Matthew Rocklin
+ Fix ORC tests for pyarrow 0.12.0 (:pr:`4413`) Jim Crist
+ rearrange_by_column: ensure that shuffle arg defaults to 'disk'
if it's None in dask.config (:pr:`4414`) George Sakkis
+ Implement filters for _read_pyarrow (:pr:`4415`) George Sakkis
+ Avoid checking against types in is_dataframe_like (:pr:`4418`)
Matthew Rocklin
+ Pass username as 'user' when using pyarrow (:pr:`4438`) Roma
Sokolov
* Delayed
+ Fix DelayedAttr return value (:pr:`4440`) Matthew Rocklin
* Documentation
+ Use SVG for pipeline graphic (:pr:`4406`) John A Kirkham
+ Add doctest-modules to py.test documentation (:pr:`4427`) Daniel
Severo
* Core
+ Work around psutil 5.5.0 not allowing pickling Process objects
Dimplexion
* Sun Jan 20 2019 arun@gmx.de
- specfile:
* update copyright year
- update to version 1.1.0:
* Array
+ Fix the average function when there is a masked array
(:pr:`4236`) Damien Garaud
+ Add allow_unknown_chunksizes to hstack and vstack (:pr:`4287`)
Paul Vecchio
+ Fix tensordot for 27+ dimensions (:pr:`4304`) Johnnie Gray
+ Fixed block_info with axes. (:pr:`4301`) Tom Augspurger
+ Use safe_wraps for matmul (:pr:`4346`) Mark Harfouche
+ Use chunks="auto" in array creation routines (:pr:`4354`)
Matthew Rocklin
+ Fix np.matmul in dask.array.Array.__array_ufunc__ (:pr:`4363`)
Stephan Hoyer
+ COMPAT: Re-enable multifield copy->view change (:pr:`4357`)
Diane Trout
+ Calling np.dtype on a delayed object works (:pr:`4387`) Jim
Crist
+ Rework normalize_array for numpy data (:pr:`4312`) Marco Neumann
* DataFrame
+ Add fill_value support for series comparisons (:pr:`4250`) James
Bourbeau
+ Add schema name in read_sql_table for empty tables (:pr:`4268`)
Mina Farid
+ Adjust check for bad chunks in map_blocks (:pr:`4308`) Tom
Augspurger
+ Add dask.dataframe.read_fwf (:pr:`4316`) @slnguyen
+ Use atop fusion in dask dataframe (:pr:`4229`) Matthew Rocklin
+ Use parallel_types(`) in from_pandas (:pr:`4331`) Matthew
Rocklin
+ Change DataFrame._repr_data to method (:pr:`4330`) Matthew
Rocklin
+ Install pyarrow fastparquet for Appveyor (:pr:`4338`) Gábor
Lipták
+ Remove explicit pandas checks and provide cudf lazy registration
(:pr:`4359`) Matthew Rocklin
+ Replace isinstance(..., pandas`) with is_dataframe_like
(:pr:`4375`) Matthew Rocklin
+ ENH: Support 3rd-party ExtensionArrays (:pr:`4379`) Tom
Augspurger
+ Pandas 0.24.0 compat (:pr:`4374`) Tom Augspurger
* Documentation
+ Fix link to 'map_blocks' function in array api docs (:pr:`4258`)
David Hoese
+ Add a paragraph on Dask-Yarn in the cloud docs (:pr:`4260`) Jim
Crist
+ Copy edit documentation (:pr:`4267), (:pr:`4263`), (:pr:`4262`),
(:pr:`4277`), (:pr:`4271`), (:pr:`4279), (:pr:`4265`),
(:pr:`4295`), (:pr:`4293`), (:pr:`4296`), (:pr:`4302`),
(:pr:`4306`), (:pr:`4318`), (:pr:`4314`), (:pr:`4309`),
(:pr:`4317`), (:pr:`4326`), (:pr:`4325`), (:pr:`4322`),
(:pr:`4332`), (:pr:`4333`), Miguel Farrajota
+ Fix typo in code example (:pr:`4272`) Daniel Li
+ Doc: Update array-api.rst (:pr:`4259`) (:pr:`4282`) Prabakaran
Kumaresshan
+ Update hpc doc (:pr:`4266`) Guillaume Eynard-Bontemps
+ Doc: Replace from_avro with read_avro in documents (:pr:`4313`)
Prabakaran Kumaresshan
+ Remove reference to "get" scheduler functions in docs
(:pr:`4350`) Matthew Rocklin
+ Fix typo in docstring (:pr:`4376`) Daniel Saxton
+ Added documentation for dask.dataframe.merge (:pr:`4382`)
Jendrik Jördening
* Core
+ Avoid recursion in dask.core.get (:pr:`4219`) Matthew Rocklin
+ Remove verbose flag from pytest setup.cfg (:pr:`4281`) Matthew
Rocklin
+ Support Pytest 4.0 by specifying marks explicitly (:pr:`4280`)
Takahiro Kojima
+ Add High Level Graphs (:pr:`4092`) Matthew Rocklin
+ Fix SerializableLock locked and acquire methods (:pr:`4294`)
Stephan Hoyer
+ Pin boto3 to earlier version in tests to avoid moto conflict
(:pr:`4276`) Martin Durant
+ Treat None as missing in config when updating (:pr:`4324`)
Matthew Rocklin
+ Update Appveyor to Python 3.6 (:pr:`4337`) Gábor Lipták
+ Use parse_bytes more liberally in dask.dataframe/bytes/bag
(:pr:`4339`) Matthew Rocklin
+ Add a better error message when cloudpickle is missing
(:pr:`4342`) Mark Harfouche
+ Support pool= keyword argument in threaded/multiprocessing get
functions (:pr:`4351`) Matthew Rocklin
+ Allow updates from arbitrary Mappings in config.update, not only
dicts. (:pr:`4356`) Stuart Berg
+ Move dask/array/top.py code to dask/blockwise.py (:pr:`4348`)
Matthew Rocklin
+ Add has_parallel_type (:pr:`4395`) Matthew Rocklin
+ CI: Update Appveyor (:pr:`4381`) Tom Augspurger
+ Ignore non-readable config files (:pr:`4388`) Jim Crist
* Sat Dec 01 2018 arun@gmx.de
- update to version 1.0.0:
* Array
+ Add nancumsum/nancumprod unit tests (:pr:`4215`) Guido Imperiale
* DataFrame
+ Add index to to_dask_dataframe docstring (:pr:`4232`) James
Bourbeau
+ Text and fix when appending categoricals with fastparquet
(:pr:`4245`) Martin Durant
+ Don't reread metadata when passing ParquetFile to read_parquet
(:pr:`4247`) Martin Durant
* Documentation
+ Copy edit documentation (:pr:`4222`) (:pr:`4224`) (:pr:`4228`)
(:pr:`4231`) (:pr:`4230`) (:pr:`4234`) (:pr:`4235`) (:pr:`4254`)
Miguel Farrajota
+ Updated doc for the new scheduler keyword (:pr:`4251`) @milesial
* Core
+ Avoid a few warnings (:pr:`4223`) Matthew Rocklin
+ Remove dask.store module (:pr:`4221`) Matthew Rocklin
+ Remove AUTHORS.md Jim Crist
* Thu Nov 22 2018 arun@gmx.de
- update to version 0.20.2:
* Array
+ Avoid fusing dependencies of atop reductions (:pr:`4207`)
Matthew Rocklin
* Dataframe
+ Improve memory footprint for dataframe correlation (:pr:`4193`)
Damien Garaud
+ Add empty DataFrame check to boundary_slice (:pr:`4212`) James
Bourbeau
* Documentation
+ Copy edit documentation (:pr:`4197`) (:pr:`4204`) (:pr:`4198`)
(:pr:`4199`) (:pr:`4200`) (:pr:`4202`) (:pr:`4209`) Miguel
Farrajota
+ Add stats module namespace (:pr:`4206`) James Bourbeau
+ Fix link in dataframe documentation (:pr:`4208`) James Bourbeau
* Mon Nov 12 2018 arun@gmx.de
- update to version 0.20.1:
* Array
+ Only allocate the result space in wrapped_pad_func (:pr:`4153`)
John A Kirkham
+ Generalize expand_pad_width to expand_pad_value (:pr:`4150`)
John A Kirkham
+ Test da.pad with 2D linear_ramp case (:pr:`4162`) John A Kirkham
+ Fix import for broadcast_to. (:pr:`4168`) samc0de
+ Rewrite Dask Array's pad to add only new chunks (:pr:`4152`)
John A Kirkham
+ Validate index inputs to atop (:pr:`4182`) Matthew Rocklin
* Core
+ Dask.config set and get normalize underscores and hyphens
(:pr:`4143`) James Bourbeau
+ Only subs on core collections, not subclasses (:pr:`4159`)
Matthew Rocklin
+ Add block_size=0 option to HTTPFileSystem. (:pr:`4171`) Martin
Durant
+ Add traverse support for dataclasses (:pr:`4165`) Armin Berres
+ Avoid optimization on sharedicts without dependencies
(:pr:`4181`) Matthew Rocklin
+ Update the pytest version for TravisCI (:pr:`4189`) Damien
Garaud
+ Use key_split rather than funcname in visualize names
(:pr:`4160`) Matthew Rocklin
* Dataframe
+ Add fix for DataFrame.__setitem__ for index (:pr:`4151`)
Anderson Banihirwe
+ Fix column choice when passing list of files to fastparquet
(:pr:`4174`) Martin Durant
+ Pass engine_kwargs from read_sql_table to sqlalchemy
(:pr:`4187`) Damien Garaud
* Documentation
+ Fix documentation in Delayed best practices example that
returned an empty list (:pr:`4147`) Jonathan Fraine
+ Copy edit documentation (:pr:`4164`) (:pr:`4175`) (:pr:`4185`)
(:pr:`4192`) (:pr:`4191`) (:pr:`4190`) (:pr:`4180`) Miguel
Farrajota
+ Fix typo in docstring (:pr:`4183`) Carlos Valiente
* Tue Oct 30 2018 arun@gmx.de
- update to version 0.20.0:
* Array
+ Fuse Atop operations (:pr:`3998`), (:pr:`4081`) Matthew Rocklin
+ Support da.asanyarray on dask dataframes (:pr:`4080`) Matthew
Rocklin
+ Remove unnecessary endianness check in datetime test
(:pr:`4113`) Elliott Sales de Andrade
+ Set name=False in array foo_like functions (:pr:`4116`) Matthew
Rocklin
+ Remove dask.array.ghost module (:pr:`4121`) Matthew Rocklin
+ Fix use of getargspec in dask array (:pr:`4125`) Stephan Hoyer
+ Adds dask.array.invert (:pr:`4127`), (:pr:`4131`) Anderson
Banihirwe
+ Raise informative error on arg-reduction on unknown chunksize
(:pr:`4128`), (:pr:`4135`) Matthew Rocklin
+ Normalize reversed slices in dask array (:pr:`4126`) Matthew
Rocklin
* Bag
+ Add bag.to_avro (:pr:`4076`) Martin Durant
* Core
+ Pull num_workers from config.get (:pr:`4086`), (:pr:`4093`)
James Bourbeau
+ Fix invalid escape sequences with raw strings (:pr:`4112`)
Elliott Sales de Andrade
+ Raise an error on the use of the get= keyword and set_options
(:pr:`4077`) Matthew Rocklin
+ Add import for Azure DataLake storage, and add docs (:pr:`4132`)
Martin Durant
+ Avoid collections.Mapping/Sequence (:pr:`4138`) Matthew Rocklin
* Dataframe
+ Include index keyword in to_dask_dataframe (:pr:`4071`) Matthew
Rocklin
+ add support for duplicate column names (:pr:`4087`) Jan Koch
+ Implement min_count for the DataFrame methods sum and prod
(:pr:`4090`) Bart Broere
+ Remove pandas warnings in concat (:pr:`4095`) Matthew Rocklin
+ DataFrame.to_csv header option to only output headers in the
first chunk (:pr:`3909`) Rahul Vaidya
+ Remove Series.to_parquet (:pr:`4104`) Justin Dennison
+ Avoid warnings and deprecated pandas methods (:pr:`4115`)
Matthew Rocklin
+ Swap 'old' and 'previous' when reporting append error
(:pr:`4130`) Martin Durant
* Documentation
+ Copy edit documentation (:pr:`4073`), (:pr:`4074`),
(:pr:`4094`), (:pr:`4097`), (:pr:`4107`), (:pr:`4124`),
(:pr:`4133`), (:pr:`4139`) Miguel Farrajota
+ Fix typo in code example (:pr:`4089`) Antonino Ingargiola
+ Add pycon 2018 presentation (:pr:`4102`) Javad
+ Quick description for gcsfs (:pr:`4109`) Martin Durant
+ Fixed typo in docstrings of read_sql_table method (:pr:`4114`)
TakaakiFuruse
+ Make target directories in redirects if they don't exist
(:pr:`4136`) Matthew Rocklin
* Wed Oct 10 2018 arun@gmx.de
- update to version 0.19.4:
* Array
+ Implement apply_gufunc(..., axes=..., keepdims=...) (:pr:`3985`)
Markus Gonser
* Bag
+ Fix typo in datasets.make_people (:pr:`4069`) Matthew Rocklin
* Dataframe
+ Added percentiles options for dask.dataframe.describe method
(:pr:`4067`) Zhenqing Li
+ Add DataFrame.partitions accessor similar to Array.blocks
(:pr:`4066`) Matthew Rocklin
* Core
+ Pass get functions and Clients through scheduler keyword
(:pr:`4062`) Matthew Rocklin
* Documentation
+ Fix Typo on hpc example. (missing = in kwarg). (:pr:`4068`)
Matthias Bussonier
+ Extensive copy-editing: (:pr:`4065`), (:pr:`4064`), (:pr:`4063`)
Miguel Farrajota
* Mon Oct 08 2018 arun@gmx.de
- update to version 0.19.3:
* Array
+ Make da.RandomState extensible to other modules (:pr:`4041`)
Matthew Rocklin
+ Support unknown dims in ravel no-op case (:pr:`4055`) Jim Crist
+ Add basic infrastructure for cupy (:pr:`4019`) Matthew Rocklin
+ Avoid asarray and lock arguments for from_array(getitem`)
(:pr:`4044`) Matthew Rocklin
+ Move local imports in corrcoef to global imports (:pr:`4030`)
John A Kirkham
+ Move local indices import to global import (:pr:`4029`) John A
Kirkham
+ Fix-up Dask Array's fromfunction w.r.t. dtype and kwargs
(:pr:`4028`) John A Kirkham
+ Don't use dummy expansion for trim_internal in overlapped
(:pr:`3964`) Mark Harfouche
+ Add unravel_index (:pr:`3958`) John A Kirkham
* Bag
+ Sort result in Bag.frequencies (:pr:`4033`) Matthew Rocklin
+ Add support for npartitions=1 edge case in groupby (:pr:`4050`)
James Bourbeau
+ Add new random dataset for people (:pr:`4018`) Matthew Rocklin
+ Improve performance of bag.read_text on small files (:pr:`4013`)
Eric Wolak
+ Add bag.read_avro (:pr:`4000`) (:pr:`4007`) Martin Durant
* Dataframe
+ Added an index parameter to
:meth:`dask.dataframe.from_dask_array` for creating a dask
DataFrame from a dask Array with a given index. (:pr:`3991`) Tom
Augspurger
+ Improve sub-classability of dask dataframe (:pr:`4015`) Matthew
Rocklin
+ Fix failing hdfs test [test-hdfs] (:pr:`4046`) Jim Crist
+ fuse_subgraphs works without normal fuse (:pr:`4042`) Jim Crist
+ Make path for reading many parquet files without prescan
(:pr:`3978`) Martin Durant
+ Index in dd.from_dask_array (:pr:`3991`) Tom Augspurger
+ Making skiprows accept lists (:pr:`3975`) Julia Signell
+ Fail early in fastparquet read for nonexistent column
(:pr:`3989`) Martin Durant
* Core
+ Add support for npartitions=1 edge case in groupby (:pr:`4050`)
James Bourbeau
+ Automatically wrap large arguments with dask.delayed in
map_blocks/partitions (:pr:`4002`) Matthew Rocklin
+ Fuse linear chains of subgraphs (:pr:`3979`) Jim Crist
+ Make multiprocessing context configurable (:pr:`3763`) Itamar
Turner-Trauring
* Documentation
+ Extensive copy-editing (:pr:`4049`), (:pr:`4034`), (:pr:`4031`),
(:pr:`4020`), (:pr:`4021`), (:pr:`4022`), (:pr:`4023`),
(:pr:`4016`), (:pr:`4017`), (:pr:`4010`), (:pr:`3997`),
(:pr:`3996`), Miguel Farrajota
+ Update shuffle method selection docs [skip ci] (:pr:`4048`)
James Bourbeau
+ Remove docs/source/examples, point to examples.dask.org
(:pr:`4014`) Matthew Rocklin
+ Replace readthedocs links with dask.org (:pr:`4008`) Matthew
Rocklin
+ Updates DataFrame.to_hdf docstring for returned values [skip ci]
(:pr:`3992`) James Bourbeau
* Mon Sep 17 2018 arun@gmx.de
- update to version 0.19.2:
* Array
+ apply_gufunc implements automatic infer of functions output
dtypes (:pr:`3936`) Markus Gonser
+ Fix array histogram range error when array has nans (#3980)
James Bourbeau
+ Issue 3937 follow up, int type checks. (#3956) Yu Feng
+ from_array: add @martindurant's explaining of how hashing is
done for an array. (#3965) Mark Harfouche
+ Support gradient with coordinate (#3949) Keisuke Fujii
* Core
+ Fix use of has_keyword with partial in Python 2.7 (#3966) Mark
Harfouche
+ Set pyarrow as default for HDFS (#3957) Matthew Rocklin
* Documentation
+ Use dask_sphinx_theme (#3963) Matthew Rocklin
+ Use JupyterLab in Binder links from main page Matthew Rocklin
+ DOC: fixed sphinx syntax (#3960) Tom Augspurger
* Sat Sep 08 2018 arun@gmx.de
- update to version 0.19.1:
* Array
+ Don't enforce dtype if result has no dtype (:pr:`3928`) Matthew
Rocklin
+ Fix NumPy issubtype deprecation warning (:pr:`3939`) Bruce Merry
+ Fix arg reduction tokens to be unique with different arguments
(:pr:`3955`) Tobias de Jong
+ Coerce numpy integers to ints in slicing code (:pr:`3944`) Yu
Feng
+ Linalg.norm ndim along axis partial fix (:pr:`3933`) Tobias de
Jong
* Dataframe
+ Deterministic DataFrame.set_index (:pr:`3867`) George Sakkis
+ Fix divisions in read_parquet when dealing with filters #3831
[#3930] (:pr:`3923`) (:pr:`3931`) @andrethrill
+ Fixing returning type in categorical.as_known (:pr:`3888`)
Sriharsha Hatwar
+ Fix DataFrame.assign for callables (:pr:`3919`) Tom Augspurger
+ Include partitions with no width in repartition (:pr:`3941`)
Matthew Rocklin
+ Don't constrict stage/k dtype in dataframe shuffle (:pr:`3942`)
Matthew Rocklin
* Documentation
+ DOC: Add hint on how to render task graphs horizontally
(:pr:`3922`) Uwe Korn
+ Add try-now button to main landing page (:pr:`3924`) Matthew
Rocklin
* Sun Sep 02 2018 arun@gmx.de
- specfile:
* remove devel from noarch
- update to version 0.19.0:
* Array
+ Fix argtopk split_every bug (:pr:`3810`) Guido Imperiale
+ Ensure result computing dask.array.isnull(`) always gives a
numpy array (:pr:`3825`) Stephan Hoyer
+ Support concatenate for scipy.sparse in dask array (:pr:`3836`)
Matthew Rocklin
+ Fix argtopk on 32-bit systems. (:pr:`3823`) Elliott Sales de
Andrade
+ Normalize keys in rechunk (:pr:`3820`) Matthew Rocklin
+ Allow shape of dask.array to be a numpy array (:pr:`3844`) Mark
Harfouche
+ Fix numpy deprecation warning on tuple indexing (:pr:`3851`)
Tobias de Jong
+ Rename ghost module to overlap (:pr:`3830`) `Robert Sare`_
+ Re-add the ghost import to da __init__ (:pr:`3861`) Jim Crist
+ Ensure copy preserves masked arrays (:pr:`3852`) Tobias de Jong
* DataFrame
+ Added dtype and sparse keywords to
:func:`dask.dataframe.get_dummies` (:pr:`3792`) Tom Augspurger
+ Added :meth:`dask.dataframe.to_dask_array` for converting a Dask
Series or DataFrame to a Dask Array, possibly with known chunk
sizes (:pr:`3884`) Tom Augspurger
+ Changed the behavior for :meth:`dask.array.asarray` for dask
dataframe and series inputs. Previously, the series was eagerly
converted to an in-memory NumPy array before creating a dask
array with known chunks sizes. This caused unexpectedly high
memory usage. Now, no intermediate NumPy array is created, and a
Dask array with unknown chunk sizes is returned (:pr:`3884`) Tom
Augspurger
+ DataFrame.iloc (:pr:`3805`) Tom Augspurger
+ When reading multiple paths, expand globs. (:pr:`3828`) Irina
Truong
+ Added index column name after resample (:pr:`3833`) Eric
Bonfadini
+ Add (lazy) shape property to dataframe and series (:pr:`3212`)
Henrique Ribeiro
+ Fix failing hdfs test [test-hdfs] (:pr:`3858`) Jim Crist
+ Fixes for pyarrow 0.10.0 release (:pr:`3860`) Jim Crist
+ Rename to_csv keys for diagnostics (:pr:`3890`) Matthew Rocklin
+ Match pandas warnings for concat sort (:pr:`3897`) Tom
Augspurger
+ Include filename in read_csv (:pr:`3908`) Julia Signell
* Core
+ Better error message on import when missing common dependencies
(:pr:`3771`) Danilo Horta
+ Drop Python 3.4 support (:pr:`3840`) Jim Crist
+ Remove expired deprecation warnings (:pr:`3841`) Jim Crist
+ Add DASK_ROOT_CONFIG environment variable (:pr:`3849`) `Joe
Hamman`_
+ Don't cull in local scheduler, do cull in delayed (:pr:`3856`)
Jim Crist
+ Increase conda download retries (:pr:`3857`) Jim Crist
+ Add python_requires and Trove classifiers (:pr:`3855`) @hugovk
+ Fix collections.abc deprecation warnings in Python 3.7.0
(:pr:`3876`) Jan Margeta
+ Allow dot jpeg to xfail in visualize tests (:pr:`3896`) Matthew
Rocklin
+ Add Python 3.7 to travis.yml (:pr:`3894`) Matthew Rocklin
+ Add expand_environment_variables to dask.config (:pr:`3893`)
`Joe Hamman`_
* Docs
+ Fix typo in import statement of diagnostics (:pr:`3826`) John
Mrziglod
+ Add link to YARN docs (:pr:`3838`) Jim Crist
+ fix of minor typos in landing page index.html (:pr:`3746`)
Christoph Moehl
+ Update delayed-custom.rst (:pr:`3850`) Anderson Banihirwe
+ DOC: clarify delayed docstring (:pr:`3709`) Scott Sievert
+ Add new presentations (:pr:`3880`) @javad94
+ Add dask array normalize_chunks to documentation (:pr:`3878`)
Daniel Rothenberg
+ Docs: Fix link to snakeviz (:pr:`3900`) Hans Moritz Günther
+ Add missing ` to docstring (:pr:`3915`) @rtobar
- changes from version 0.18.2:
* Array
+ Reimplemented argtopk to make it release the GIL (:pr:`3610`)
Guido Imperiale
+ Don't overlap on non-overlapped dimensions in map_overlap
(:pr:`3653`) Matthew Rocklin
+ Fix linalg.tsqr for dimensions of uncertain length (:pr:`3662`)
Jeremy Chen
+ Break apart uneven array-of-int slicing to separate chunks
(:pr:`3648`) Matthew Rocklin
+ Align auto chunks to provided chunks, rather than shape
(:pr:`3679`) Matthew Rocklin
+ Adds endpoint and retstep support for linspace (:pr:`3675`)
James Bourbeau
+ Implement .blocks accessor (:pr:`3689`) Matthew Rocklin
+ Add block_info keyword to map_blocks functions (:pr:`3686`)
Matthew Rocklin
+ Slice by dask array of ints (:pr:`3407`) Guido Imperiale
+ Support dtype in arange (:pr:`3722`) Guido Imperiale
+ Fix argtopk with uneven chunks (:pr:`3720`) Guido Imperiale
+ Raise error when replace=False in da.choice (:pr:`3765`) James
Bourbeau
+ Update chunks in Array.__setitem__ (:pr:`3767`) Itamar
Turner-Trauring
+ Add a chunksize convenience property (:pr:`3777`) Jacob
Tomlinson
+ Fix and simplify array slicing behavior when step < 0
(:pr:`3702`) Ziyao Wei
+ Ensure to_zarr with return_stored True returns a Dask Array
(:pr:`3786`) John A Kirkham
* Bag
+ Add last_endline optional parameter in to_textfiles (:pr:`3745`)
George Sakkis
* Dataframe
+ Add aggregate function for rolling objects (:pr:`3772`) Gerome
Pistre
+ Properly tokenize cumulative groupby aggregations (:pr:`3799`)
Cloves Almeida
* Delayed
+ Add the @ operator to the delayed objects (:pr:`3691`) Mark
Harfouche
+ Add delayed best practices to documentation (:pr:`3737`) Matthew
Rocklin
+ Fix @delayed decorator for methods and add tests (:pr:`3757`)
Ziyao Wei
* Core
+ Fix extra progressbar (:pr:`3669`) Mike Neish
+ Allow tasks back onto ordering stack if they have one dependency
(:pr:`3652`) Matthew Rocklin
+ Prefer end-tasks with low numbers of dependencies when ordering
(:pr:`3588`) Tom Augspurger
+ Add assert_eq to top-level modules (:pr:`3726`) Matthew Rocklin
+ Test that dask collections can hold scipy.sparse arrays
(:pr:`3738`) Matthew Rocklin
+ Fix setup of lz4 decompression functions (:pr:`3782`) Elliott
Sales de Andrade
+ Add datasets module (:pr:`3780`) Matthew Rocklin
* Sun Jun 24 2018 arun@gmx.de
- update to version 0.18.1:
* Array
+ from_array now supports scalar types and nested lists/tuples in
input, just like all numpy functions do. It also produces a
simpler graph when the input is a plain ndarray (:pr:`3556`)
Guido Imperiale
+ Fix slicing of big arrays due to cumsum dtype bug (:pr:`3620`)
Marco Rossi
+ Add Dask Array implementation of pad (:pr:`3578`) John A Kirkham
+ Fix array random API examples (:pr:`3625`) James Bourbeau
+ Add average function to dask array (:pr:`3640`) James Bourbeau
+ Tokenize ghost_internal with axes (:pr:`3643`) Matthew Rocklin
+ from_array: special handling for ndarray, list, and scalar types
(:pr:`3568`) Guido Imperiale
+ Add outer for Dask Arrays (:pr:`3658`) John A Kirkham
* DataFrame
+ Add Index.to_series method (:pr:`3613`) Henrique Ribeiro
+ Fix missing partition columns in pyarrow-parquet (:pr:`3636`)
Martin Durant
* Core
+ Minor tweaks to CI (:pr:`3629`) Guido Imperiale
+ Add back dask.utils.effective_get (:pr:`3642`) Matthew Rocklin
+ DASK_CONFIG dictates config write location (:pr:`3621`) Jim
Crist
+ Replace 'collections' key in unpack_collections with unique key
(:pr:`3632`) Yu Feng
+ Avoid deepcopy in dask.config.set (:pr:`3649`) Matthew Rocklin
- changes from version 0.18.0:
* Array
+ Add to/read_zarr for Zarr-format datasets and arrays
(:pr:`3460`) Martin Durant
+ Experimental addition of generalized ufunc support,
apply_gufunc, gufunc, and as_gufunc (:pr:`3109`) (:pr:`3526`)
(:pr:`3539`) Markus Gonser
+ Avoid unnecessary rechunking tasks (:pr:`3529`) Matthew Rocklin
+ Compute dtypes at runtime for fft (:pr:`3511`) Matthew Rocklin
+ Generate UUIDs for all da.store operations (:pr:`3540`) Martin
Durant
+ Correct internal dimension of Dask's SVD (:pr:`3517`) John A
Kirkham
+ BUG: do not raise IndexError for identity slice in array.vindex
(:pr:`3559`) Scott Sievert
+ Adds isneginf and isposinf (:pr:`3581`) John A Kirkham
+ Drop Dask Array's learn module (:pr:`3580`) John A Kirkham
+ added sfqr (short-and-fat) as a counterpart to tsqr…
(:pr:`3575`) Jeremy Chen
+ Allow 0-width chunks in dask.array.rechunk (:pr:`3591`) Marc
Pfister
+ Document Dask Array's nan_to_num in public API (:pr:`3599`) John
A Kirkham
+ Show block example (:pr:`3601`) John A Kirkham
+ Replace token= keyword with name= in map_blocks (:pr:`3597`)
Matthew Rocklin
+ Disable locking in to_zarr (needed for using to_zarr in a
distributed context) (:pr:`3607`) John A Kirkham
+ Support Zarr Arrays in to_zarr/from_zarr (:pr:`3561`) John A
Kirkham
+ Added recursion to array/linalg/tsqr to better manage the single
core bottleneck (:pr:`3586`) `Jeremy Chan`_
* Dataframe
+ Add to/read_json (:pr:`3494`) Martin Durant
+ Adds index to unsupported arguments for DataFrame.rename method
(:pr:`3522`) James Bourbeau
+ Adds support to subset Dask DataFrame columns using
numpy.ndarray, pandas.Series, and pandas.Index objects
(:pr:`3536`) James Bourbeau
+ Raise error if meta columns do not match dataframe (:pr:`3485`)
Christopher Ren
+ Add index to unsupprted argument for DataFrame.rename
(:pr:`3522`) James Bourbeau
+ Adds support for subsetting DataFrames with pandas Index/Series
and numpy ndarrays (:pr:`3536`) James Bourbeau
+ Dataframe sample method docstring fix (:pr:`3566`) James
Bourbeau
+ fixes dd.read_json to infer file compression (:pr:`3594`) Matt
Lee
+ Adds n to sample method (:pr:`3606`) James Bourbeau
+ Add fastparquet ParquetFile object support (:pr:`3573`)
@andrethrill
* Bag
+ Rename method= keyword to shuffle= in bag.groupby (:pr:`3470`)
Matthew Rocklin
* Core
+ Replace get= keyword with scheduler= keyword (:pr:`3448`)
Matthew Rocklin
+ Add centralized dask.config module to handle configuration for
all Dask subprojects (:pr:`3432`) (:pr:`3513`) (:pr:`3520`)
Matthew Rocklin
+ Add dask-ssh CLI Options and Description. (:pr:`3476`) @beomi
+ Read whole files fix regardless of header for HTTP (:pr:`3496`)
Martin Durant
+ Adds synchronous scheduler syntax to debugging docs (:pr:`3509`)
James Bourbeau
+ Replace dask.set_options with dask.config.set (:pr:`3502`)
Matthew Rocklin
+ Update sphinx readthedocs-theme (:pr:`3516`) Matthew Rocklin
+ Introduce "auto" value for normalize_chunks (:pr:`3507`) Matthew
Rocklin
+ Fix check in configuration with env=None (:pr:`3562`) Simon
Perkins
+ Update sizeof definitions (:pr:`3582`) Matthew Rocklin
+ Remove --verbose flag from travis-ci (:pr:`3477`) Matthew
Rocklin
+ Remove "da.random" from random array keys (:pr:`3604`) Matthew
Rocklin
* Mon May 21 2018 arun@gmx.de
- update to version 0.17.5:
* Compatibility with pandas 0.23.0 (:pr:`3499`) Tom Augspurger
* Sun May 06 2018 arun@gmx.de
- update to version 0.17.4:
* Dataframe
+ Add support for indexing Dask DataFrames with string subclasses
(:pr:`3461`) James Bourbeau
+ Allow using both sorted_index and chunksize in read_hdf
(:pr:`3463`) Pierre Bartet
+ Pass filesystem to arrow piece reader (:pr:`3466`) Martin Durant
+ Switches to using dask.compat string_types (#3462) James
Bourbeau
- changes from version 0.17.3:
* Array
+ Add einsum for Dask Arrays (:pr:`3412`) Simon Perkins
+ Add piecewise for Dask Arrays (:pr:`3350`) John A Kirkham
+ Fix handling of nan in broadcast_shapes (:pr:`3356`) John A
Kirkham
+ Add isin for dask arrays (:pr:`3363`). Stephan Hoyer
+ Overhauled topk for Dask Arrays: faster algorithm, particularly
for large k's; added support for multiple axes, recursive
aggregation, and an option to pick the bottom k elements
instead. (:pr:`3395`) Guido Imperiale
+ The topk API has changed from topk(k, array) to the more
conventional topk(array, k). The legacy API still works but is
now deprecated. (:pr:`2965`) Guido Imperiale
+ New function argtopk for Dask Arrays (:pr:`3396`) Guido
Imperiale
+ Fix handling partial depth and boundary in map_overlap
(:pr:`3445`) John A Kirkham
+ Add gradient for Dask Arrays (:pr:`3434`) John A Kirkham
* DataFrame
+ Allow t as shorthand for table in to_hdf for pandas
compatibility (:pr:`3330`) Jörg Dietrich
+ Added top level isna method for Dask DataFrames (:pr:`3294`)
Christopher Ren
+ Fix selection on partition column on read_parquet for
engine="pyarrow" (:pr:`3207`) Uwe Korn
+ Added DataFrame.squeeze method (:pr:`3366`) Christopher Ren
+ Added infer_divisions option to read_parquet to specify whether
read engines should compute divisions (:pr:`3387`) Jon Mease
+ Added support for inferring division for engine="pyarrow"
(:pr:`3387`) Jon Mease
+ Provide more informative error message for meta= errors
(:pr:`3343`) Matthew Rocklin
+ add orc reader (:pr:`3284`) Martin Durant
+ Default compression for parquet now always Snappy, in line with
pandas (:pr:`3373`) Martin Durant
+ Fixed bug in Dask DataFrame and Series comparisons with NumPy
scalars (:pr:`3436`) James Bourbeau
+ Remove outdated requirement from repartition docstring
(:pr:`3440`) Jörg Dietrich
+ Fixed bug in aggregation when only a Series is selected
(:pr:`3446`) Jörg Dietrich
+ Add default values to make_timeseries (:pr:`3421`) Matthew
Rocklin
* Core
+ Support traversing collections in persist, visualize, and
optimize (:pr:`3410`) Jim Crist
+ Add schedule= keyword to compute and persist. This replaces
common use of the get= keyword (:pr:`3448`) Matthew Rocklin
* Sat Mar 24 2018 arun@gmx.de
- update to version 0.17.2:
* Array
+ Add broadcast_arrays for Dask Arrays (:pr:`3217`) John A Kirkham
+ Add bitwise_* ufuncs (:pr:`3219`) John A Kirkham
+ Add optional axis argument to squeeze (:pr:`3261`) John A
Kirkham
+ Validate inputs to atop (:pr:`3307`) Matthew Rocklin
+ Avoid calls to astype in concatenate if all parts have the same
dtype (:pr:`3301`) `Martin Durant`_
* DataFrame
+ Fixed bug in shuffle due to aggressive truncation (:pr:`3201`)
Matthew Rocklin
+ Support specifying categorical columns on read_parquet with
categories=[…] for engine="pyarrow" (:pr:`3177`) Uwe Korn
+ Add dd.tseries.Resampler.agg (:pr:`3202`) Richard Postelnik
+ Support operations that mix dataframes and arrays (:pr:`3230`)
Matthew Rocklin
+ Support extra Scalar and Delayed args in
dd.groupby._Groupby.apply (:pr:`3256`) Gabriele Lanaro
* Bag
+ Support joining against single-partitioned bags and delayed
objects (:pr:`3254`) Matthew Rocklin
* Core
+ Fixed bug when using unexpected but hashable types for keys
(:pr:`3238`) Daniel Collins
+ Fix bug in task ordering so that we break ties consistently with
the key name (:pr:`3271`) Matthew Rocklin
+ Avoid sorting tasks in order when the number of tasks is very
large (:pr:`3298`) Matthew Rocklin
* Fri Mar 02 2018 sebix+novell.com@sebix.at
- correctly package bytecode
- use %license macro
* Fri Feb 23 2018 arun@gmx.de
- update to version 0.17.1:
* Array
+ Corrected dimension chunking in indices (:issue:`3166`,
:pr:`3167`) Simon Perkins
+ Inline store_chunk calls for store's return_stored option
(:pr:`3153`) John A Kirkham
+ Compatibility with struct dtypes for NumPy 1.14.1 release
(:pr:`3187`) Matthew Rocklin
* DataFrame
+ Bugfix to allow column assignment of pandas
datetimes(:pr:`3164`) Max Epstein
* Core
+ New file-system for HTTP(S), allowing direct loading from
specific URLs (:pr:`3160`) `Martin Durant`_
+ Fix bug when tokenizing partials with no keywords (:pr:`3191`)
Matthew Rocklin
+ Use more recent LZ4 API (:pr:`3157`) `Thrasibule`_
+ Introduce output stream parameter for progress bar (:pr:`3185`)
`Dieter Weber`_
* Sat Feb 10 2018 arun@gmx.de
- update to version 0.17.0:
* Array
+ Added a support object-type arrays for nansum, nanmin, and
nanmax (:issue:`3133`) Keisuke Fujii
+ Update error handling when len is called with empty chunks
(:issue:`3058`) Xander Johnson
+ Fixes a metadata bug with store's return_stored option
(:pr:`3064`) John A Kirkham
+ Fix a bug in optimization.fuse_slice to properly handle when
first input is None (:pr:`3076`) James Bourbeau
+ Support arrays with unknown chunk sizes in percentile
(:pr:`3107`) Matthew Rocklin
+ Tokenize scipy.sparse arrays and np.matrix (:pr:`3060`) Roman
Yurchak
* DataFrame
+ Support month timedeltas in repartition(freq=...) (:pr:`3110`)
Matthew Rocklin
+ Avoid mutation in dataframe groupby tests (:pr:`3118`) Matthew
Rocklin
+ read_csv, read_table, and read_parquet accept iterables of paths
(:pr:`3124`) Jim Crist
+ Deprecates the dd.to_delayed function in favor of the existing
method (:pr:`3126`) Jim Crist
+ Return dask.arrays from df.map_partitions calls when the UDF
returns a numpy array (:pr:`3147`) Matthew Rocklin
+ Change handling of columns and index in dd.read_parquet to be
more consistent, especially in handling of multi-indices
(:pr:`3149`) Jim Crist
+ fastparquet append=True allowed to create new dataset
(:pr:`3097`) `Martin Durant`_
+ dtype rationalization for sql queries (:pr:`3100`) `Martin
Durant`_
* Bag
+ Document bag.map_paritions function may recieve either a list or
generator. (:pr:`3150`) Nir
* Core
+ Change default task ordering to prefer nodes with few dependents
and then many downstream dependencies (:pr:`3056`) Matthew
Rocklin
+ Add color= option to visualize to color by task order
(:pr:`3057`) (:pr:`3122`) Matthew Rocklin
+ Deprecate dask.bytes.open_text_files (:pr:`3077`) Jim Crist
+ Remove short-circuit hdfs reads handling due to maintenance
costs. May be re-added in a more robust manner later
(:pr:`3079`) Jim Crist
+ Add dask.base.optimize for optimizing multiple collections
without computing. (:pr:`3071`) Jim Crist
+ Rename dask.optimize module to dask.optimization (:pr:`3071`)
Jim Crist
+ Change task ordering to do a full traversal (:pr:`3066`) Matthew
Rocklin
+ Adds an optimize_graph keyword to all to_delayed methods to
allow controlling whether optimizations occur on
conversion. (:pr:`3126`) Jim Crist
+ Support using pyarrow for hdfs integration (:pr:`3123`) Jim
Crist
+ Move HDFS integration and tests into dask repo (:pr:`3083`) Jim
Crist
+ Remove write_bytes (:pr:`3116`) Jim Crist
* Thu Jan 11 2018 arun@gmx.de
- specfile:
* update copyright year
- update to version 0.16.1:
* Array
+ Fix handling of scalar percentile values in "percentile"
(:pr:`3021`) `James Bourbeau`_
+ Prevent "bool()" coercion from calling compute (:pr:`2958`)
`Albert DeFusco`_
+ Add "matmul" (:pr:`2904`) `John A Kirkham`_
+ Support N-D arrays with "matmul" (:pr:`2909`) `John A Kirkham`_
+ Add "vdot" (:pr:`2910`) `John A Kirkham`_
+ Explicit "chunks" argument for "broadcast_to" (:pr:`2943`)
`Stephan Hoyer`_
+ Add "meshgrid" (:pr:`2938`) `John A Kirkham`_ and (:pr:`3001`)
`Markus Gonser`_
+ Preserve singleton chunks in "fftshift"/"ifftshift" (:pr:`2733`)
`John A Kirkham`_
+ Fix handling of negative indexes in "vindex" and raise errors
for out of bounds indexes (:pr:`2967`) `Stephan Hoyer`_
+ Add "flip", "flipud", "fliplr" (:pr:`2954`) `John A Kirkham`_
+ Add "float_power" ufunc (:pr:`2962`) (:pr:`2969`) `John A
Kirkham`_
+ Compatability for changes to structured arrays in the upcoming
NumPy 1.14 release (:pr:`2964`) `Tom Augspurger`_
+ Add "block" (:pr:`2650`) `John A Kirkham`_
+ Add "frompyfunc" (:pr:`3030`) `Jim Crist`_
* DataFrame
+ Fixed naming bug in cumulative aggregations (:issue:`3037`)
`Martijn Arts`_
+ Fixed "dd.read_csv" when "names" is given but "header" is not
set to "None" (:issue:`2976`) `Martijn Arts`_
+ Fixed "dd.read_csv" so that passing instances of
"CategoricalDtype" in "dtype" will result in known categoricals
(:pr:`2997`) `Tom Augspurger`_
+ Prevent "bool()" coercion from calling compute (:pr:`2958`)
`Albert DeFusco`_
+ "DataFrame.read_sql()" (:pr:`2928`) to an empty database tables
returns an empty dask dataframe `Apostolos Vlachopoulos`_
+ Compatability for reading Parquet files written by PyArrow 0.8.0
(:pr:`2973`) `Tom Augspurger`_
+ Correctly handle the column name (`df.columns.name`) when
reading in "dd.read_parquet" (:pr:2973`) `Tom Augspurger`_
+ Fixed "dd.concat" losing the index dtype when the data contained
a categorical (:issue:`2932`) `Tom Augspurger`_
+ Add "dd.Series.rename" (:pr:`3027`) `Jim Crist`_
+ "DataFrame.merge()" (:pr:`2960`) now supports merging on a
combination of columns and the index `Jon Mease`_
+ Removed the deprecated "dd.rolling*" methods, in preperation for
their removal in the next pandas release (:pr:`2995`) `Tom
Augspurger`_
+ Fix metadata inference bug in which single-partition series were
mistakenly special cased (:pr:`3035`) `Jim Crist`_
+ Add support for "Series.str.cat" (:pr:`3028`) `Jim Crist`_
* Core
+ Improve 32-bit compatibility (:pr:`2937`) `Matthew Rocklin`_
+ Change task prioritization to avoid upwards branching
(:pr:`3017`) `Matthew Rocklin`_
* Sun Nov 19 2017 arun@gmx.de
- update to version 0.16.0:
* Fix install of fastparquet on travis (#2897)
* Fix port for bokeh dashboard (#2889)
* fix hdfs3 version
* Modify hdfs import to point to hdfs3 (#2894)
* Explicitly pass in pyarrow filesystem for parquet (#2881)
* COMPAT: Ensure lists for multiple groupby keys (#2892)
* Avoid list index error in repartition_freq (#2873)
* Finish moving `infer_storage_options` (#2886)
* Support arrow in `to_parquet`. Several other parquet
cleanups. (#2868)
* Bugfix: Filesystem object not passed to pyarrow reader (#2527)
* Fix py34 build
* Fixup s3 tests (#2875)
* Close resource profiler process on __exit__ (#2871)
* Add changelog for to_parquet changes. [ci skip]
* A few parquet cleanups (#2867)
* Fixed fillna with Series (#2810)
* Error nicely on parse dates failure in read_csv (#2863)
* Fix empty dataframe partitioning for numpy 1.10.4 (#2862)
* Test `unique`'s inverse mapping's shape (#2857)
* Move `thread_state` out of the top namespace (#2858)
* Explain unique's steps (#2856)
* fix and test for issue #2811 (#2818)
* Minor tweaks to `_unique_internal` optional result handling
(#2855)
* Update dask interface during XArray integration (#2847)
* Remove unnecessary map_partitions in aggregate (#2712)
* Simplify `_unique_internal` (#2850)
* Add more tests for read_parquet(engine='pyarrow') (#2822)
* Do not raise exception when calling set_index on empty dataframe
[#2819] (#2827)
* Test unique on more data (#2846)
* Do not except on set_index on text column with empty partitions
[#2820] (#2831)
* Compat for bokeh 0.12.10 (#2844)
* Support `return_*` arguments with `unique` (#2779)
* Fix installing of pandas dev (#2838)
* Squash a few warnings in dask.array (#2833)
* Array optimizations don't elide some getter calls (#2826)
* test against pandas rc (#2814)
* df.astype(categorical_dtype) -> known categoricals (#2835)
* Fix cloudpickle test (#2836)
* BUG: Quantile with missing data (#2791)
* API: remove dask.async (#2828)
* Adds comma to flake8 section in setup.cfg (#2817)
* Adds asarray and asanyarray to the dask.array public API (#2787)
* flake8 now checks bare excepts (#2816)
* CI: Update for new flake8 / pycodestyle (#2808)
* Fix concat series bug (#2800)
* Typo in the docstring of read_parquet's filters param (#2806)
* Docs update (#2803)
* minor doc changes in bag.core (#2797)
* da.random.choice works with array args (#2781)
* Support broadcasting 0-length dimensions (#2784)
* ResourceProfiler plot works with single point (#2778)
* Implement Dask Array's unique to be lazy (#2775)
* Dask Collection Interface
* Reduce test memory usage (#2782)
* Deprecate vnorm (#2773)
* add auto-import of gcsfs (#2776)
* Add allclose (#2771)
* Remove `random.different_seeds` from API docs (#2772)
* Follow-up for atleast_nd (#2765)
* Use get_worker().client.get if available (#2762)
* Link PR for "Allow tuples as sharedict keys" (#2766)
* Allow tuples as sharedict keys (#2763)
* update docs to use flatten vs concat (#2764)
* Add atleast_nd functions (#2760)
* Consolidate changelog for 0.15.4 (#2759)
* Add changelog template for future date (#2758)
* Mon Oct 30 2017 arun@gmx.de
- update to version 0.15.4:
* Drop s3fs requirement (#2750)
* Support -1 as an alias for dimension size in chunks (#2749)
* Handle zero dimension when rechunking (#2747)
* Pandas 0.21 compatability (#2737)
* API: Add `.str` accessor for Categorical with object dtype (#2743)
* Fix install failures
* Reduce memory usage
* A few test cleanups
* Fix #2720 (#2729)
* Pass on file_scheme to fastparquet (#2714)
* Support indexing with np.int (#2719)
* Tree reduction support for dask.bag.Bag.foldby (#2710)
* Update link to IPython parallel docs (#2715)
* Call mkdir from correct namespace in array.to_npy_stack. (#2709)
* add int96 times to parquet writer (#2711)
* Sun Sep 24 2017 arun@gmx.de
- update to version 0.15.3:
* add .github/PULL_REQUEST_TEMPLATE.md file
* Make `y` optional in dask.array.learn (#2701)
* Add apply_over_axes (#2702)
* Use apply_along_axis name in Dask (#2704)
* Tweak apply_along_axis's pre-NumPy 1.13.0 error (#2703)
* Add apply_along_axis (#2698)
* Use travis conditional builds (#2697)
* Skip days in daily_stock that have nan values (#2693)
* TST: Have array assert_eq check scalars (#2681)
* Add schema keyword to read_sql (#2582)
* Only install pytest-runner if needed (#2692)
* Remove resize tool from bokeh plots (#2688)
* Add ptp (#2691)
* Catch warning from numpy in subs (#2457)
* Publish Series methods in dataframe api (#2686)
* Fix norm keepdims (#2683)
* Dask array slicing with boolean arrays (#2658)
* repartition works with mixed categoricals (#2676)
* Merge pull request #2667 from martindurant/parquet_file_schema
* Fix for parquet file schemes
* Optional axis argument for cumulative functions (#2664)
* Remove partial_by_order
* Support literals in atop
* [ci skip] Add flake8 note in developer doc page (#2662)
* Add filenames return for ddf.to_csv and bag.to_textfiles as they
both… (#2655)
* CLN: Remove redundant code, fix typos (#2652)
* [docs] company name change from Continuum to Anaconda (#2660)
* Fix what hapend when combining partition_on and append in
to_parquet (#2645)
* WIP: Add user defined aggregations (#2344)
* [docs] new cheatsheet (#2649)
* Masked arrays (#2301)
* Indexing with an unsigned integer array (#2647)
* ENH: Allow the groupby by param to handle columns and index levels
(#2636)
* update copyright date (#2642)
* python setup.py test runs py.test (#2641)
* Avoid using operator.itemgetter in dask.dataframe (#2638)
* Add `*_like` array creation functions (#2640)
* Consistent slicing names (#2601)
* Replace Continuum Analytics with Anaconda Inc. (#2631)
* Implement Series.str[index] (#2634)
* Support complex data with vnorm (#2621)
- changes from version 0.15.2:
* BUG: setitem should update divisions (#2622)
* Allow dataframe.loc with numpy array (#2615)
* Add link to Stack Overflow's mcve docpage to support docs (#2612)
* Improve dtype inference and reflection (#2571)
* Add ediff1d (#2609)
* Optimize concatenate on singleton sequences (#2610)
* Add diff (#2607)
* Document norm in Dask Array API (#2605)
* Add norm (#2597)
* Don't check for memory leaks in distributed tests (#2603)
* Include computed collection within sharedict in delayed (#2583)
* Reorg array (#2595)
* Remove `expand` parameter from df.str.split (#2593)
* Normalize `meta` on call to `dd.from_delayed` (#2591)
* Remove bare `except:` blocks and test that none exist. (#2590)
* Adds choose method to dask.array.Array (#2584)
* Generalize vindex in dask.array (#2573)
* Clear `_cached_keys` on name change in dask.array (#2572)
* Don't render None for unknown divisions (#2570)
* Add missing initialization to CacheProfiler (#2550)
* Add argwhere, *nonzero, where (cond) (#2539)
* Fix indices error message (#2565)
* Fix and secure some references (#2563)
* Allows for read_hdf to accept an iterable of files (#2547)
* Allow split on rechunk on first pass (#2560)
* Improvements to dask.array.where (#2549)
* Adds isin method to dask.dataframe.DataFrame (#2558)
* Support dask array conditional in compress (#2555)
* Clarify ResourceProfiler docstring [ci skip] (#2553)
* In compress, use Dask to expand condition array (#2545)
* Support compress with axis as None (#2541)
* df.idxmax/df.idxmin work with empty partitions (#2542)
* FIX typo in accumulate docstring (#2552)
* da.where works with non-bool condition (#2543)
* da.repeat works with negative axis (#2544)
* Check metadata in `dd.from_delayed` (#2534)
* TST: clean up test directories in shuffle (#2535)
* Do no attemp to compute divisions on empty dataframe. (#2529)
* Remove deprecated bag behavior (#2525)
* Updates read_hdf docstring (#2518)
* Add dd.to_timedelta (#2523)
* Better error message for read_csv (#2522)
* Remove spurious keys from map_overlap graph (#2520)
* Do not compare x.dim with None in array. (#1847)
* Support concat for categorical MultiIndex (#2514)
* Support for callables in df.assign (#2513)
* Thu May 04 2017 toddrme2178@gmail.com
- Implement single-spec version
- Update source URL.
- Split classes into own subpackages to lighten base dependencies.
- Update to version 0.15.1
* Add storage_options to to_textfiles and to_csv (:pr:`2466`)
* Rechunk and simplify rfftfreq (:pr:`2473`), (:pr:`2475`)
* Better support ndarray subclasses (:pr:`2486`)
* Import star in dask.distributed (:pr:`2503`)
* Threadsafe cache handling with tokenization (:pr:`2511`)
- Update to version 0.15.0
+ Array
* Add dask.array.stats submodule (:pr:`2269`)
* Support ``ufunc.outer`` (:pr:`2345`)
* Optimize fancy indexing by reducing graph overhead (:pr:`2333`) (:pr:`2394`)
* Faster array tokenization using alternative hashes (:pr:`2377`)
* Added the matmul ``@`` operator (:pr:`2349`)
* Improved coverage of the ``numpy.fft`` module (:pr:`2320`) (:pr:`2322`) (:pr:`2327`) (:pr:`2323`)
* Support NumPy's ``__array_ufunc__`` protocol (:pr:`2438`)
+ Bag
* Fix bug where reductions on bags with no partitions would fail (:pr:`2324`)
* Add broadcasting and variadic ``db.map`` top-level function. Also remove
auto-expansion of tuples as map arguments (:pr:`2339`)
* Rename ``Bag.concat`` to ``Bag.flatten`` (:pr:`2402`)
+ DataFrame
* Parquet improvements (:pr:`2277`) (:pr:`2422`)
+ Core
* Move dask.async module to dask.local (:pr:`2318`)
* Support callbacks with nested scheduler calls (:pr:`2397`)
* Support pathlib.Path objects as uris (:pr:`2310`)
- Update to version 0.14.3
+ DataFrame
* Pandas 0.20.0 support
- Update to version 0.14.2
+ Array
* Add da.indices (:pr:`2268`), da.tile (:pr:`2153`), da.roll (:pr:`2135`)
* Simultaneously support drop_axis and new_axis in da.map_blocks (:pr:`2264`)
* Rechunk and concatenate work with unknown chunksizes (:pr:`2235`) and (:pr:`2251`)
* Support non-numpy container arrays, notably sparse arrays (:pr:`2234`)
* Tensordot contracts over multiple axes (:pr:`2186`)
* Allow delayed targets in da.store (:pr:`2181`)
* Support interactions against lists and tuples (:pr:`2148`)
* Constructor plugins for debugging (:pr:`2142`)
* Multi-dimensional FFTs (single chunk) (:pr:`2116`)
+ Bag
* to_dataframe enforces consistent types (:pr:`2199`)
+ DataFrame
* Set_index always fully sorts the index (:pr:`2290`)
* Support compatibility with pandas 0.20.0 (:pr:`2249`), (:pr:`2248`), and (:pr:`2246`)
* Support Arrow Parquet reader (:pr:`2223`)
* Time-based rolling windows (:pr:`2198`)
* Repartition can now create more partitions, not just less (:pr:`2168`)
+ Core
* Always use absolute paths when on POSIX file system (:pr:`2263`)
* Support user provided graph optimizations (:pr:`2219`)
* Refactor path handling (:pr:`2207`)
* Improve fusion performance (:pr:`2129`), (:pr:`2131`), and (:pr:`2112`)
- Update to version 0.14.1
+ Array
* Micro-optimize optimizations (:pr:`2058`)
* Change slicing optimizations to avoid fusing raw numpy arrays (:pr:`2075`)
(:pr:`2080`)
* Dask.array operations now work on numpy arrays (:pr:`2079`)
* Reshape now works in a much broader set of cases (:pr:`2089`)
* Support deepcopy python protocol (:pr:`2090`)
* Allow user-provided FFT implementations in ``da.fft`` (:pr:`2093`)
+ Bag
+ DataFrame
* Fix to_parquet with empty partitions (:pr:`2020`)
* Optional ``npartitions='auto'`` mode in ``set_index`` (:pr:`2025`)
* Optimize shuffle performance (:pr:`2032`)
* Support efficient repartitioning along time windows like
``repartition(freq='12h')`` (:pr:`2059`)
* Improve speed of categorize (:pr:`2010`)
* Support single-row dataframe arithmetic (:pr:`2085`)
* Automatically avoid shuffle when setting index with a sorted column
(:pr:`2091`)
* Improve handling of integer-na handling in read_csv (:pr:`2098`)
+ Delayed
* Repeated attribute access on delayed objects uses the same key (:pr:`2084`)
+ Core
* Improve naming of nodes in dot visuals to avoid generic ``apply``
(:pr:`2070`)
* Ensure that worker processes have different random seeds (:pr:`2094`)
- Update to version 0.14.0
+ Array
* Fix corner cases with zero shape and misaligned values in ``arange``
* Improve concatenation efficiency (:pr:`1923`)
* Avoid hashing in ``from_array`` if name is provided (:pr:`1972`)
+ Bag
* Repartition can now increase number of partitions (:pr:`1934`)
* Fix bugs in some reductions with empty partitions (:pr:`1939`), (:pr:`1950`),
(:pr:`1953`)
+ DataFrame
* Support non-uniform categoricals (:pr:`1877`), (:pr:`1930`)
* Groupby cumulative reductions (:pr:`1909`)
* DataFrame.loc indexing now supports lists (:pr:`1913`)
* Improve multi-level groupbys (:pr:`1914`)
* Improved HTML and string repr for DataFrames (:pr:`1637`)
* Parquet append (:pr:`1940`)
* Add ``dd.demo.daily_stock`` function for teaching (:pr:`1992`)
+ Delayed
* Add ``traverse=`` keyword to delayed to optionally avoid traversing nested
data structures (:pr:`1899`)
* Support Futures in from_delayed functions (:pr:`1961`)
* Improve serialization of decorated delayed functions (:pr:`1969`)
+ Core
* Improve windows path parsing in corner cases (:pr:`1910`)
* Rename tasks when fusing (:pr:`1919`)
* Add top level ``persist`` function (:pr:`1927`)
* Propagate ``errors=`` keyword in byte handling (:pr:`1954`)
* Dask.compute traverses Python collections (:pr:`1975`)
* Structural sharing between graphs in dask.array and dask.delayed (:pr:`1985`)
- Update to version 0.13.0
+ Array
* Mandatory dtypes on dask.array. All operations maintain dtype information
and UDF functions like map_blocks now require a dtype= keyword if it can not
be inferred. (:pr:`1755`)
* Support arrays without known shapes, such as arises when slicing arrays with
arrays or converting dataframes to arrays (:pr:`1838`)
* Support mutation by setting one array with another (:pr:`1840`)
* Tree reductions for covariance and correlations. (:pr:`1758`)
* Add SerializableLock for better use with distributed scheduling (:pr:`1766`)
* Improved atop support (:pr:`1800`)
* Rechunk optimization (:pr:`1737`), (:pr:`1827`)
+ Bag
* Avoid wrong results when recomputing the same groupby twice (:pr:`1867`)
+ DataFrame
* Add ``map_overlap`` for custom rolling operations (:pr:`1769`)
* Add ``shift`` (:pr:`1773`)
* Add Parquet support (:pr:`1782`) (:pr:`1792`) (:pr:`1810`), (:pr:`1843`),
(:pr:`1859`), (:pr:`1863`)
* Add missing methods combine, abs, autocorr, sem, nsmallest, first, last,
prod, (:pr:`1787`)
* Approximate nunique (:pr:`1807`), (:pr:`1824`)
* Reductions with multiple output partitions (for operations like
drop_duplicates) (:pr:`1808`), (:pr:`1823`) (:pr:`1828`)
* Add delitem and copy to DataFrames, increasing mutation support (:pr:`1858`)
+ Delayed
* Changed behaviour for ``delayed(nout=0)`` and ``delayed(nout=1)``:
``delayed(nout=1)`` does not default to ``out=None`` anymore, and
``delayed(nout=0)`` is also enabled. I.e. functions with return
tuples of length 1 or 0 can be handled correctly. This is especially
handy, if functions with a variable amount of outputs are wrapped by
``delayed``. E.g. a trivial example:
``delayed(lambda *args: args, nout=len(vals))(*vals)``
+ Core
* Refactor core byte ingest (:pr:`1768`), (:pr:`1774`)
* Improve import time (:pr:`1833`)
- update to version 0.12.0:
* update changelog (#1757)
* Avoids spurious warning message in concatenate (#1752)
* CLN: cleanup dd.multi (#1728)
* ENH: da.ufuncs now supports DataFrame/Series (#1669)
* Faster array slicing (#1731)
* Avoid calling list on partitions (#1747)
* Fix slicing error with None and ints (#1743)
* Add da.repeat (#1702)
* ENH: add dd.DataFrame.resample (#1741)
* Unify column names in dd.read_csv (#1740)
* replace empty with random in test to avoid nans
* Update diagnostics plots (#1736)
* Allow atop to change chunk shape (#1716)
* ENH: DataFrame.loc now supports 2d indexing (#1726)
* Correct shape when indexing with Ellipsis and None
* ENH: Add DataFrame.pivot_table (#1729)
* CLN: cleanup DataFrame class handling (#1727)
* ENH: Add DataFrame.combine_first (#1725)
* ENH: Add DataFrame all/any (#1724)
* micro-optimize _deps (#1722)
* A few small tweaks to da.Array.astype (#1721)
* BUG: Fixed metadata lookup failure in Accessor (#1706)
* Support auto-rechunking in stack and concatenate (#1717)
* Forward `get` kwarg in df.to_csv (#1715)
* Add rename support for multi-level columns (#1712)
* Update paid support section
* Add `drop` to reset_index (#1711)
* Cull dask.arrays on slicing (#1709)
* Update dd.read_* functions in docs
* WIP: Feature/dataframe aggregate (implements #1619) (#1678)
* Add da.round (#1708)
* Executor -> Client
* Add support of getitem for multilevel columns (#1697)
* Prepend optimization keywords with name of optimization (#1690)
* Add dd.read_table (#1682)
* Fix dd.pivot_table dtype to be deterministic (#1693)
* da.random with state is consistent across sizes (#1687)
* Remove `raises`, use pytest.raises instead (#1679)
* Remove unnecessary calls to list (#1681)
* Dataframe tree reductions (#1663)
* Add global optimizations to compute (#1675)
* TST: rename dataframe eq to assert_eq (#1674)
* ENH: Add DataFrame/Series.align (#1668)
* CLN: dataframe.io (#1664)
* ENH: Add DataFrame/Series clip_xxx (#1667)
* Clear divisions on single_partitions_merge (#1666)
* ENH: add dd.pivot_table (#1665)
* Typo in `use-cases`? (#1670)
* add distributed follow link doc page
* Dataframe elemwise (#1660)
* Windows file and endline test handling (#1661)
* remove old badges
* Fix #1656: failures when parallel testing (#1657)
* Remove use of multiprocessing.Manager (#1652) (#1653)
* A few fixes for `map_blocks` (#1654)
* Automatically expand chunking in atop (#1644)
* Add AppVeyor configuration (#1648)
* TST: move flake8 to travis script (#1655)
* CLN: Remove unused funcs (#1638)
* Implementing .size and groupby size method (#1627) (#1649)
* Use strides, shape, and offset in memmap tokenize (#1646)
* Validate scalar metadata is scalar (#1642)
* Convert readthedocs links for their .org -> .io migration for
hosted projects (#1639)
* CLN: little cleanup of dd.categorical (#1635)
* Signature of Array.transpose matches numpy (#1632)
* Error nicely when indexing Array with Array (#1629)
* ENH: add DataFrame.get_xtype_counts (#1634)
* PEP8: some fixes (#1633)
- changes from version 0.11.1:
* support uniform index partitions in set_index(sorted) (#1626)
* Groupby works with multiprocessing (#1625)
* Use a nonempty index in _maybe_partial_time_string
* Fix segfault in groupby-var
* Support Pandas 0.19.0
* Deprecations (#1624)
* work-around for ddf.info() failing because of
https://github.com/pydata/pandas/issues/14368 (#1623)
* .str accessor needs to pass thru both args & kwargs (#1621)
* Ensure dtype is provided in additional tests (#1620)
* coerce rounded numbers to int in dask.array.ghost (#1618)
* Use assert_eq everywhere in dask.array tests (#1617)
* Update documentation (#1606)
* Support new_axes= keyword in atop (#1612)
* pass through node_attr and edge_attr in dot_graph (#1614)
* Add swapaxes to dask array (#1611)
* add clip to Array (#1610)
* Add atop(concatenate=False) keyword argument (#1609)
* Better error message on metadata inference failure (#1598)
* ENH/API: Enhanced Categorical Accessor (#1574)
* PEP8: dataframe fix except E127,E402,E501,E731 (#1601)
* ENH: dd.get_dummies for categorical Series (#1602)
* PEP8: some fixes (#1605)
* Fix da.learn tests for scikit-learn release (#1597)
* Suppress warnings in psutil (#1589)
* avoid more timeseries warnings (#1586)
* Support inplace operators in dataframe (#1585)
* Squash warnings in resample (#1583)
* expand imports for dask.distributed (#1580)
* Add indicator keyword to dd.merge (#1575)
* Error loudly if `nrows` used in read_csv (#1576)
* Add versioneer (#1569)
* Strengthen statement about gitter for developers in docs
* Raise IndexError on out of bounds slice. (#1579)
* ENH: Support Series in read_hdf (#1577)
* COMPAT/API: DataFrame.categorize missing values (#1578)
* Add `pipe` method to dask.dataframe (#1567)
* Sample from `read_bytes` ends on a delimiter (#1571)
* Remove mention of bag join in docs (#1568)
* Tokenize mmap works without filename (#1570)
* String accessor works with indexes (#1561)
* corrected links to documentation from Examples (#1557)
* Use conda-forge channel in travis (#1559)
* add s3fs to travis.yml (#1558)
* ENH: DataFrame.select_dtypes (#1556)
* Improve slicing performance (#1539)
* Check meta in `__init__` of _Frame
* Fix metadata in Series.getitem
* A few changes to `dask.delayed` (#1542)
* Fixed read_hdf example (#1544)
* add section on distributed computing with link to toc
* Fix spelling (#1535)
* Only fuse simple indexing with getarray backends (#1529)
* Deemphasize graphs in docs (#1531)
* Avoid pickle when tokenizing __main__ functions (#1527)
* Add changelog doc going up to dask 0.6.1 (2015-07-23). (#1526)
* update dataframe docs
* update index
* Update to highlight the use of glob based file naming option for
df exports (#1525)
* Add custom docstring to dd.to_csv, mentioning that one file per
partition is written (#1524)
* Run slow tests in Travis for all Python versions, even if coverage
check is disabled. (#1523)
* Unify example doc pages into one (#1520)
* Remove lambda/inner functions in dask.dataframe (#1516)
* Add documentation for dataframe metadata (#1514)
* "dd.map_partitions" works with scalar outputs (#1515)
* meta_nonempty returns types of correct size (#1513)
* add memory use note to tsqr docstring
* Fix slow consistent keyname test (#1510)
* Chunks check (#1504)
* Fix last 'line' in sample; prevents open quotes. (#1495)
* Create new threadpool when operating from thread (#1487)
* Add finalize- prefix to dask.delayed collections
* Move key-split from distributed to dask
* State that delayed values should be lists in bag.from_delayed
(#1490)
* Use lists in db.from_sequence (#1491)
* Implement user defined aggregations (#1483)
* Field access works with non-scalar fields (#1484)
- Update to 0.11.0
* DataFrames now enforce knowing full metadata (columns, dtypes)
everywhere. Previously we would operate in an ambiguous state
when functions lost dtype information (such as apply). Now all
dataframes always know their dtypes and raise errors asking for
information if they are unable to infer (which they usually
can). Some internal attributes like _pd and _pd_nonempty have
been moved.
* The internals of the distributed scheduler have been refactored
to transition tasks between explicit states. This improves
resilience, reasoning about scheduling, plugin operation, and
logging. It also makes the scheduler code easier to understand
for newcomers.
* Breaking Changes
+ The distributed.s3 and distributed.hdfs namespaces are gone.
Use protocols in normal methods like read_text('s3://...'
instead.
+ Dask.array.reshape now errs in some cases where previously
it would have create a very large number of tasks
- update to version 0.10.2:
* raise informative error on merge(on=frame)
* Fix crash with -OO Python command line (#1388)
* [WIP] Read hdf partitioned (#1407)
* Add dask.array.digitize. (#1409)
* Adding documentation to create dask DataFrame from HDF5 (#1405)
* Unify shuffle algorithms (#1404)
* dd.read_hdf: clear errors on exceeding row numbers (#1406)
* Rename `get_division` to `get_partition`
* Add nice error messages on import failures
* Use task-based shuffle in hash_joins (#1383)
* Fixed #1381: Reimplemented DataFrame.repartition(npartition=N) so
it doesn't require indexing and just coalesce existing partitions
without shuffling/balancing (#1396)
* Import visualize from dask.diagnostics in docs
* Backport `equal_nans` to older version of numpy
* Improve checks for dtype and shape in dask.array
* Progess bar process should be deamon
* LZMA may not be available in python 3 (#1391)
* dd.to_hdf: multiple files multiprocessing avoid locks (#1384)
* dir works with numeric column names
* Dataframe groupby works with numeric column names
* Use fsync when appending to partd
* Fix pickling issue in dataframe to_bag
* Add documentation for dask.dataframe.to_hdf
* Fixed a copy-paste typo in DataFrame.map_partitions docstring
* Fix 'visualize' import location in diagnostics documentation
(#1376)
* update cheat sheet (#1371)
- update to version 0.10.1:
* `inline` no longer removes keys (#1356)
* avoid c: in infer_storage_options (#1369)
* Protect reductions against empty partitions (#1361)
* Add doc examples for dask.array.histogram. (#1363)
* Fix typo in pip install requirements path (#1364)
* avoid unnecessary dependencies between save tasks in
dataframe.to_hdf (#1293)
* remove xfail mark for blosc missing const
* Add `anon=True` for read from s3 test
* `subs` doesn't needlessly compare keys and values
* Use pytest.importorskip instead of try/except/return pattern
* Fixes for bokeh 0.12.0
* Multiprocess scheduler handles unpickling errors
* arra.random with array-like parameters (#1327)
* Fixes issue #1337 (#1338)
* Remove dask runtime dependence on mock 2.7 backport.
* Load known but external protocols automatically (#1325)
* Add center argument to Series/DataFrame.rolling (#1280)
* Add Bag.random_sample method. (#1332)
* Correct docs install command and add missing required packages
(#1333)
* Mark the 4 slowest tests as slow to get a faster suite by
default. (#1334)
* Travis: Install mock package in Python 2.7.
* Automatic blocksize for read_csv based on available memory and
number of cores.
* Replace "Matthew Rocklin" with "Dask Development Team" (#1329)
* Support column assignment in DataFrame (#1322)
* Few travis fixes, pandas version >= 0.18.0 (#1314)
* Don't run hdf test if pytables package is not present. (#1323)
* Add delayed.compute to api docs.
* Support datetimes in DataFrame._build_pd (#1319)
* Test setting the index with datetime with timezones, which is a
pandas-defined dtype
* (#1315)
* Add s3fs to requirements (#1316)
* Pass dtype information through in Series.astype (#1320)
* Add draft of development guidelines (#1305)
* Skip tests needing optional package when it's not present. (#1318)
* DOC: Document DataFrame.categorize
* make dd.to_csv support writing to multiple csv files (#1303)
* quantiles for repartitioning (#1261)
* DOC: Minimal doc for get_sync (#1312)
* Pass through storage_options in db.read_text (#1304)
* Fixes #1237: correctly propagate storage_options through read_*
APIs and use urlsplit to automatically get remote connection
settings (#1269)
* TST: Travis build matrix to specify numpy/pandas ver (#1300)
* amend doc string to Bag.to_textfiles
* Return dask.Delayed when saving files with compute = false (#1286)
* Support empty or small dataframes in from_pandas (#1290)
* Add validation and tests for order breaking name_function (#1275)
* ENH: dataframe now supports partial string selection (#1278)
* Fix typo in spark-dask docs
* added note and verbose exception about CSV parsing errors (#1287)
- update to version 0.10.0:
* Add parametrization to merge tests
* Add more challenging types to nonempty_sample_df test
* Windows fixes
* TST: Fix coveralls badge (#1276)
* Sort index on shuffle (#1274)
* Update specification docs to reflect new spec.
* Add groupby docs (#1273)
* Update spark docs
* Rolling class receives normal arguments (unchecked other than
pandas call), stores at
* Reduce communication in rolling operations #1242 (#1270)
* Fix Shuffle (#1255)
* Work on earlier versions of Pandas
* Handle additional Pandas types
* Use non-empty fake dataframe in merge operations
* Add failing test for merge case
* Add utility function to create sample dataframe
* update release procedure
* amend doc string to Bag.to_textfiles (#1258)
* Drop Python 2.6 support (#1264)
* Clean DataFrame naming conventions (#1263)
* Fix some bugs in the rolling implementation.
* Fix core.get to use new spec
* Make graph definition recursive
* Handle empty partitions in dask.bag.to_textfiles
* test index.min/max
* Add regression test for non-ndarray slicing
* Standardize dataframe keynames
* bump csv sample size to 256k (#1253)
* Switch tests to utils.tmpdir (#1251)
* Fix dot_graph filename split bug
* Correct documentation to reflect argument existing now.
* Allow non-zero axis for .rolling (for application over columns)
* Fix scheduler behavior for top-level lists
* Various spelling mistakes in docstrings, comments, exception
messages, and a filename
* Fix typo. (#1247)
* Fix tokenize in dask.delayed
* Remove unused imports, pep8 fixes
* Fix bug in slicing optimization
* Add Task Shuffle (#1186)
* Add bytes API (#1224)
* Add dask_key_name to docs, fix bug in methods
* Allow formatting in dask.dataframe.to_hdf path and key parameters
* Match pandas' exceptions a bit closer in the rolling API. Also,
correct computation f
* Add tests to package (#1231)
* Document visualize method (#1234)
* Skip new rolling API's tests if the pandas we have is too old.
* Improve df_or_series.rolling(...) implementation.
* Remove `iloc` property on `dask.dataframe`
* Support for the new pandas rolling API.
* test delayed names are different under kwargs
* Add Hussain Sultan to AUTHORS
* Add `optimize_graph` keyword to multiprocessing get
* Add `optimize_graph` keyword to `compute`
* Add dd.info() (#1213)
* Cleanup base tests
* Add groupby documentation stub
* pngmath is deprecated in sphinx 1.4
* A few docfixes
* Extract dtype in dd.from_bcolz
* Throw NotImplementedError if old toolz.accumulate
* Add isnull and notnull for dataframe
* Add dask.bag.accumulate
* Fix categorical partitioning
* create single lock for glob read_hdf
* Fix failing from_url doctest
* Add missing api to bag docs
* Add Skipper Seabold to AUTHORS.
* Don't use mutable default argument
* Fix typo
* Ensure to_task_dasks always returns a task
* Fix dir for dataframe objects
* Infer metadata in dd.from_delayed
* Fix some closure issues in dask.dataframe
* Add storage_options keyword to read_csv
* Define finalize function for dask.dataframe.Scalar
* py26 compatibility
* add stacked logos to docs
* test from-array names
* rename from_array tasks
* add atop to array docs
* Add motivation and example to delayed docs
* splat out delayed values in compute docs
* Fix optimize docs
* add html page with logos
* add dask logo to documentation images
* Few pep8 cleanups to dask.dataframe.groupby
* Groupby aggregate works with list of columns
* Use different names for input and output in from_array
* Don't enforce same column names
* don't write header for first block in csv
* Add var and std to DataFrame groupby (#1159)
* Move conda recipe to conda-forge (#1162)
* Use function names in map_blocks and elemwise (#1163)
* add hyphen to delayed name (#1161)
* Avoid shuffles when merging with Pandas objects (#1154)
* Add DataFrame.eval
* Ensure future imports
* Add db.Bag.unzip
* Guard against shape attributes that are not sequences
* Add dask.array.multinomial
- update to version 0.9.0:
* No upstream changelog
- update to version 0.8.2:
* No upstream changelog
- update to version 0.8.1:
* No upstream changelog
- update to version 0.8.0:
* No upstream changelog
- update to version 0.7.5:
* No upstream changelog
- update to version 0.7.5:
* No upstream changelog
- update to version 0.7.0:
* No upstream changelog
- update to version 0.6.1:
* No upstream changelog
* Tue Jul 14 2015 toddrme2178@gmail.com
- Update to 0.6.0
* No upstream changelog
* Tue May 19 2015 toddrme2178@gmail.com
- Update to 0.5.0
* No upstream changelog
* Thu Apr 09 2015 toddrme2178@gmail.com
- Initial version
/usr/share/licenses/python311-dask-complete /usr/share/licenses/python311-dask-complete/LICENSE.txt
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