Accepting request 1109687 from home:bnavigator:branches:devel:languages:python:numeric
- Update to 13.0.0
## Compatibility notes:
* The default format version for Parquet has been bumped from 2.4
to 2.6 GH-35746. In practice, this means that nanosecond
timestamps now preserve its resolution instead of being
converted to microseconds.
* Support for Python 3.7 is dropped GH-34788
## New features:
* Conversion to non-nano datetime64 for pandas >= 2.0 is now
supported GH-33321
* Write page index is now supported GH-36284
* Bindings for reading JSON format in Dataset are added GH-34216
* keys_sorted property of MapType is now exposed GH-35112
## Other improvements:
* Common python functionality between Table and RecordBatch
classes has been consolidated ( GH-36129, GH-35415, GH-35390,
GH-34979, GH-34868, GH-31868)
* Some functionality for FixedShapeTensorType has been improved
(__reduce__ GH-36038, picklability GH-35599)
* Pyarrow scalars can now be accepted in the array constructor
GH-21761
* DataFrame Interchange Protocol implementation and usage is now
documented GH-33980
* Conversion between Arrow and Pandas for map/pydict now has
enhanced support GH-34729
* Usability of pc.map_lookup / MapLookupOptions is improved
GH-36045
* zero_copy_only keyword can now also be accepted in
ChunkedArray.to_numpy() GH-34787
* Python C++ codebase now has linter support in Archery and the
CI GH-35485
## Relevant bug fixes:
* __array__ numpy conversion for Table and RecordBatch is now
corrected so that np.asarray(pa.Table) doesn’t return a
transposed result GH-34886
* parquet.write_to_dataset doesn’t create empty files for
non-observed dictionary (category) values anymore GH-23870
* Dataset writer now also correctly follows default Parquet
version of 2.6 GH-36537
* Comparing pyarrow.dataset.Partitioning with other type is now
correctly handled GH-36659
* Pickling of pyarrow.dataset PartitioningFactory objects is now
supported GH-34884
* None schema is now disallowed in parquet writer GH-35858
* pa.FixedShapeTensorArray.to_numpy_ndarray is not failing on
sliced arrays GH-35573
* Halffloat type is now supported in the conversion from Arrow
list to pandas GH-36168
* __from_arrow__ is now also implemented for Array.to_pandas for
pandas extension data types GH-36096
- Add pyarrow-pr37481-pandas2.1.patch gh#apache/arrow#37481
OBS-URL: https://build.opensuse.org/request/show/1109687
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pyarrow?expand=0&rev=13
This commit is contained in:
@@ -1,3 +1,58 @@
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-------------------------------------------------------------------
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Thu Aug 31 18:43:55 UTC 2023 - Ben Greiner <code@bnavigator.de>
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- Update to 13.0.0
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## Compatibility notes:
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* The default format version for Parquet has been bumped from 2.4
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to 2.6 GH-35746. In practice, this means that nanosecond
|
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timestamps now preserve its resolution instead of being
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converted to microseconds.
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* Support for Python 3.7 is dropped GH-34788
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## New features:
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* Conversion to non-nano datetime64 for pandas >= 2.0 is now
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supported GH-33321
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||||
* Write page index is now supported GH-36284
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* Bindings for reading JSON format in Dataset are added GH-34216
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* keys_sorted property of MapType is now exposed GH-35112
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## Other improvements:
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* Common python functionality between Table and RecordBatch
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classes has been consolidated ( GH-36129, GH-35415, GH-35390,
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GH-34979, GH-34868, GH-31868)
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* Some functionality for FixedShapeTensorType has been improved
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(__reduce__ GH-36038, picklability GH-35599)
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* Pyarrow scalars can now be accepted in the array constructor
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GH-21761
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* DataFrame Interchange Protocol implementation and usage is now
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documented GH-33980
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* Conversion between Arrow and Pandas for map/pydict now has
|
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enhanced support GH-34729
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* Usability of pc.map_lookup / MapLookupOptions is improved
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GH-36045
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* zero_copy_only keyword can now also be accepted in
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ChunkedArray.to_numpy() GH-34787
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* Python C++ codebase now has linter support in Archery and the
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CI GH-35485
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## Relevant bug fixes:
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* __array__ numpy conversion for Table and RecordBatch is now
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corrected so that np.asarray(pa.Table) doesn’t return a
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transposed result GH-34886
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* parquet.write_to_dataset doesn’t create empty files for
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non-observed dictionary (category) values anymore GH-23870
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* Dataset writer now also correctly follows default Parquet
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version of 2.6 GH-36537
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* Comparing pyarrow.dataset.Partitioning with other type is now
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correctly handled GH-36659
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* Pickling of pyarrow.dataset PartitioningFactory objects is now
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supported GH-34884
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* None schema is now disallowed in parquet writer GH-35858
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* pa.FixedShapeTensorArray.to_numpy_ndarray is not failing on
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sliced arrays GH-35573
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* Halffloat type is now supported in the conversion from Arrow
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list to pandas GH-36168
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* __from_arrow__ is now also implemented for Array.to_pandas for
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pandas extension data types GH-36096
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- Add pyarrow-pr37481-pandas2.1.patch gh#apache/arrow#37481
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-------------------------------------------------------------------
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Fri Aug 25 12:52:17 UTC 2023 - Ben Greiner <code@bnavigator.de>
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