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ca243baa6c
Upgrade to release 1.1.4: - Fixed regression in read_csv() raising a ValueError when names was of type dict_keys - Fixed regression in read_csv() with more than 1M rows and specifying a index_col argument - Fixed regression where attempting to mutate a DateOffset object would no longer raise an AttributeError - Fixed regression where DataFrame.agg() would fail with TypeError when passed positional arguments to be passed on to the aggregation function - Fixed regression in RollingGroupby with sort=False not being respected - Fixed regression in Series.astype() converting None to "nan" when casting to string - Fixed regression in Series.rank() method failing for read-only data - Fixed regression in RollingGroupby causing a segmentation fault with Index of dtype object - Fixed regression in DataFrame.resample(...).apply(...)() raised AttributeError when input was a DataFrame and only a Series was evaluated - Fixed regression in DataFrame.groupby(..).std() with nullable integer dtype - Fixed regression in PeriodDtype comparing both equal and unequal to its string representation - Fixed regression where slicing DatetimeIndex raised AssertionError on irregular time series with pd.NaT or on unsorted indices - Fixed regression in certain offsets (pd.offsets.Day() and below) no longer being hashable - Fixed regression in StataReader which required chunksize to be manually set when using an iterator to read a dataset - Fixed regression in setitem with DataFrame.iloc() which raised error when trying to set a value while filtering with a boolean list - Fixed regression in setitem with a Series getting aligned before setting the values - Fixed regression in MultiIndex.is_monotonic_increasing returning wrong results with NaN in at least one of the levels - Fixed regression in inplace arithmetic operation on a Series not updating the parent DataFrame - Fixed bug causing groupby(...).sum() and similar to not preserve metadata - Fixed bug in Series.isin() and DataFrame.isin() raising a ValueError when the target was read-only - Fixed bug in GroupBy.fillna() that introduced a performance regression after 1.0.5 - Fixed bug in DataFrame.info() was raising a KeyError when the DataFrame has integer column names - Fixed bug in DataFrameGroupby.apply() would drop a CategoricalIndex when grouped on 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>