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* python3-pandas: Upgrade 1.2.5 -> 1.3.0Leon Anavi2021-07-161-25/+0
| | | | | | | | | | | | | | | | | | | | | | | | | Upgrade to release 1.3.0: - Custom HTTP(s) headers when reading csv or json files - Read and write XML documents - Styler enhancements - DataFrame constructor honors copy=False with dict - PyArrow backed string data type - Centered datetime-like rolling windows - Bug fix: Categorical.unique now always maintains same dtype as original - Bug fix: preserve dtypes in DataFrame.combine_first() - Bug fix: Groupby methods agg and transform no longer changes return dtype for callables - Bug fix: Consistent casting with setting into Boolean Series - Bug fix: GroupBy.rolling with MultiIndex no longer drops levels in the result License-Update: Update license year 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 1.2.4 -> 1.2.5Leon Anavi2021-06-241-0/+25
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>