- 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
- Update to 12.0.0
## Compatibility notes:
* Plasma has been removed in this release (GH-33243). In
addition, the deprecated serialization module in PyArrow was
also removed (GH-29705). IPC (Inter-Process Communication)
functionality of pyarrow or the standard library pickle should
be used instead.
* The deprecated use_async keyword has been removed from the
dataset module (GH-30774)
* Minimum Cython version to build PyArrow from source has been
raised to 0.29.31 (GH-34933). In addition, PyArrow can now be
compiled using Cython 3 (GH-34564).
## New features:
* A new pyarrow.acero module with initial bindings for the Acero
execution engine has been added (GH-33976)
* A new canonical extension type for fixed shaped tensor data has
been defined. This is exposed in PyArrow as the
FixedShapeTensorType (GH-34882, GH-34956)
* Run-End Encoded arrays binding has been implemented (GH-34686,
GH-34568)
* Method is_nan has been added to Array, ChunkedArray and
Expression (GH-34154)
* Dataframe interchange protocol has been implemented for
RecordBatch (GH-33926)
## Other improvements:
* Extension arrays can now be concatenated (GH-31868)
* get_partition_keys helper function is implemented in the
dataset module to access the partitioning field’s key/value
from the partition expression of a certain dataset fragment
(GH-33825)
OBS-URL: https://build.opensuse.org/request/show/1087838
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pyarrow?expand=0&rev=4
