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 <[email protected]> --- .../{python3-pandas_1.1.3.bb => python3-pandas_1.1.4.bb} | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) rename meta-python/recipes-devtools/python/{python3-pandas_1.1.3.bb => python3-pandas_1.1.4.bb} (83%) diff --git a/meta-python/recipes-devtools/python/python3-pandas_1.1.3.bb b/meta-python/recipes-devtools/python/python3-pandas_1.1.4.bb similarity index 83% rename from meta-python/recipes-devtools/python/python3-pandas_1.1.3.bb rename to meta-python/recipes-devtools/python/python3-pandas_1.1.4.bb index da1ffd0b6d..78730b46af 100644 --- a/meta-python/recipes-devtools/python/python3-pandas_1.1.3.bb +++ b/meta-python/recipes-devtools/python/python3-pandas_1.1.4.bb @@ -6,8 +6,8 @@ HOMEPAGE = "http://pandas.pydata.org/"; LICENSE = "BSD-3-Clause" LIC_FILES_CHKSUM = "file://LICENSE;md5=c2a8f987b2ce77c368c6b3e1b5b10774" -SRC_URI[md5sum] = "f10372d83a1c55cae217e8c05bf9bc5d" -SRC_URI[sha256sum] = "babbeda2f83b0686c9ad38d93b10516e68cdcd5771007eb80a763e98aaf44613" +SRC_URI[md5sum] = "594e6a429f297c77470e37d3510cccbb" +SRC_URI[sha256sum] = "a979d0404b135c63954dea79e6246c45dd45371a88631cdbb4877d844e6de3b6" inherit pypi setuptools3 -- 2.17.1
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