Mirror of git.openembedded.org/meta-openembedded https://git.enea.com/cgit/linux/meta-openembedded.git/atom?h=scarthgap 2021-03-01T19:06:09+00:00 2021-03-01T19:06:09+00:00 Leon Anavi leon.anavi@konsulko.com 2021-02-24T11:25:09+00:00 urn:sha1:eae89d17bf771a57b53cc3259c5252bbc385403c Upgrade to release 1.2.2: - Fixed regression in read_excel() that caused it to raise AttributeError when checking version of older xlrd versions - Fixed regression in DataFrame constructor reordering element when construction from datetime ndarray with dtype not "datetime64[ns]" - Fixed regression in DataFrame.astype() and Series.astype() not casting to bytes dtype - Fixed regression in to_pickle() failing to create bz2/xz compressed pickle files with protocol=5 - Fixed regression in pandas.testing.assert_series_equal() and pandas.testing.assert_frame_equal() always raising AssertionError when comparing extension dtypes - Fixed regression in to_csv() opening codecs.StreamWriter in binary mode instead of in text mode and ignoring user-provided mode - Fixed regression in Categorical.astype() casting to incorrect dtype when np.int32 is passed to dtype argument - Fixed regression in to_excel() creating corrupt files when appending (mode="a") to an existing file - Fixed regression in DataFrame.transform() failing in case of an empty DataFrame or Series - Fixed regression in groupby() or resample() when aggregating an all-NaN or numeric object dtype column - Fixed regression in Rolling.count() where the min_periods argument would be set to 0 after the operation - Fixed regression in read_excel() that incorrectly raised when the argument io was a non-path and non-buffer and the engine argument was specified - pandas.read_excel() error message when a specified sheetname does not exist is now uniform across engines - Fixed bug in pandas.read_excel() producing incorrect results when the engine openpyxl is used and the excel file is missing or has incorrect dimension information; the fix requires openpyxl >= 3.0.0, prior versions may still fail - Fixed bug in pandas.read_excel() sometimes producing a DataFrame with trailing rows of np.nan when the engine openpyxl is used 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> 2021-01-25T22:34:06+00:00 Leon Anavi leon.anavi@konsulko.com 2021-01-20T16:52:59+00:00 urn:sha1:83501388f1cb1eafefa4c9708ac0b1871f829afe 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>