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* python3-pandas: Upgrade 1.2.4 -> 1.2.5Leon Anavi2021-06-241-24/+0
| | | | | | | | | | | | | | | | | | | | | | Upgrade to release 1.2.5: - Fixed regression in concat() between two DataFrame where one has an Index that is all-None and the other is DatetimeIndex incorrectly raising - Fixed regression in DataFrame.sum() and DataFrame.prod() when min_count and numeric_only are both given - Fixed regression in read_csv() when using memory_map=True with an non-UTF8 encoding - Fixed regression in DataFrame.replace() and Series.replace() when the values to replace is a NumPy float array - Fixed regression in ExcelFile() when a corrupt file is opened but not closed - Fixed regression in DataFrame.astype() with dtype=str failing to convert NaN in categorical columns Signed-off-by: Leon Anavi <leon.anavi@konsulko.com> Signed-off-by: Khem Raj <raj.khem@gmail.com> Signed-off-by: Trevor Gamblin <trevor.gamblin@windriver.com>
* python3-pandas: Upgrade 1.2.3 -> 1.2.4Leon Anavi2021-04-151-0/+24
Upgrade to release 1.2.4: - Fixed regression in DataFrame.sum() when min_count greater than the DataFrame shape was passed resulted in a ValueError - Fixed regression in DataFrame.to_json() raising AttributeError when run on PyPy - Fixed regression in (in)equality comparison of pd.NaT with a non-datetimelike numpy array returning a scalar instead of an array - Fixed regression in DataFrame.where() not returning a copy in the case of an all True condition - Fixed regression in DataFrame.replace() raising IndexError when regex was a multi-key dictionary - Fixed regression in repr of floats in an object column not respecting float_format when printed in the console or outputted through DataFrame.to_string(), DataFrame.to_html(), and DataFrame.to_latex() - Fixed regression in NumPy ufuncs such as np.add not passing through all arguments for DataFrame Signed-off-by: Leon Anavi <leon.anavi@konsulko.com> Signed-off-by: Khem Raj <raj.khem@gmail.com> Signed-off-by: Trevor Gamblin <trevor.gamblin@windriver.com>