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83501388f1
Upgrade to release 1.2.1: - Fixed regression in to_csv() that created corrupted zip files when there were more rows than chunksize - Fixed regression in to_csv() opening codecs.StreamReaderWriter in binary mode instead of in text mode - Fixed regression in read_csv() and other read functions were the encoding error policy (errors) did not default to "replace" when no encoding was specified - Fixed regression in read_excel() with non-rawbyte file handles - Fixed regression in DataFrame.to_stata() not removing the created file when an error occured - Fixed regression in DataFrame.__setitem__ raising ValueError when expanding DataFrame and new column is from type "0 - name" - Fixed regression in setting with DataFrame.loc() raising ValueError when DataFrame has unsorted MultiIndex columns and indexer is a scalar - Fixed regression in setting with DataFrame.loc() raising KeyError with MultiIndex and list-like columns indexer enlarging DataFrame - Fixed regression in groupby() with Categorical grouping column not showing unused categories for grouped.indices - Fixed regression in GroupBy.sem() where the presence of non-numeric columns would cause an error instead of being dropped - Fixed regression in DataFrameGroupBy.diff() raising for int8 and int16 columns - Fixed regression in DataFrame.groupby() when aggregating an ExtensionDType that could fail for non-numeric values - Fixed regression in Rolling.skew() and Rolling.kurt() modifying the object inplace - Fixed regression in DataFrame.any() and DataFrame.all() not returning a result for tz-aware datetime64 columns - Fixed regression in DataFrame.apply() with axis=1 using str accessor in apply function - Fixed regression in DataFrame.replace() raising ValueError when DataFrame has dtype bytes - Fixed regression in Series.fillna() that raised RecursionError with datetime64[ns, UTC] dtype - Fixed regression in comparisons between NaT and datetime.date objects incorrectly returning True - Fixed regression in calling NumPy accumulate() ufuncs on DataFrames, e.g. np.maximum.accumulate(df) - Fixed regression in repr of float-like strings of an object dtype having trailing 0’s truncated after the decimal - Fixed regression that raised AttributeError with PyArrow versions [0.16.0, 1.0.0) - Fixed regression in pandas.testing.assert_frame_equal() raising TypeError with check_like=True when Index or columns have mixed dtype Signed-off-by: Leon Anavi <leon.anavi@konsulko.com> Acked-by: Trevor Gamblin <trevor.gamblin@windriver.com> Signed-off-by: Khem Raj <raj.khem@gmail.com>
meta-python
================================
Introduction
-------------------------
This layer is intended to be the home of python modules for OpenEmbedded.
Dependencies
-------------------------
The meta-python layer depends on:
URI: git://git.openembedded.org/openembedded-core
layers: meta
branch: master
revision: HEAD
URI: git://git.openembedded.org/meta-openembedded
layers: meta-oe
branch: master
revision: HEAD
Please follow the recommended setup procedures of your OE distribution.
For Angstrom that is:
http://www.angstrom-distribution.org/building-angstrom,
other distros should have similar online resources.
Contributing
-------------------------
The meta-openembedded mailinglist
(openembedded-devel@lists.openembedded.org) is used for questions,
comments and patch review. It is subscriber only, so please register
before posting.
Send pull requests to openembedded-devel@lists.openembedded.org with
'[meta-python]' in the subject.
When sending single patches, please use something like:
'git send-email -M -1 --to=openembedded-devel@lists.openembedded.org --subject-prefix=meta-python][PATCH'
Maintenance
-------------------------
Layer Maintainers:
Tim "moto-timo" Orling <TicoTimo@gmail.com>
Derek Straka <derek@asterius.io>
Trevor Gamblin <trevor.gamblin@windriver.com>