BUG: array-like quantile fails on column groupby #38173
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jreback approved these changes Dec 2, 2020
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lgtm. @TomAugspurger @jbrockmendel if you have a moment to review
jbrockmendel reviewed Dec 2, 2020
pandas/core/groupby/groupby.py Outdated
| ) | ||
| .T.flatten() | ||
| ) | ||
| return result.take(indices, axis=1) |
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could a lot of this be shared with the axis=0 version by replacing result.columns with result.axes[1] and above replacing result.index with result.axes[0]? (which in both cases would then become result.axes[axis])
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sounds good, I will change this.
jbrockmendel reviewed Dec 2, 2020
doc/source/whatsnew/v1.2.0.rst Outdated
| - Bug in :meth:`DataFrame.groupby` dropped ``nan`` groups from result with ``dropna=False`` when grouping over a single column (:issue:`35646`, :issue:`35542`) | ||
| - Bug in :meth:`.DataFrameGroupBy.head`, :meth:`.DataFrameGroupBy.tail`, :meth:`SeriesGroupBy.head`, and :meth:`SeriesGroupBy.tail` would raise when used with ``axis=1`` (:issue:`9772`) | ||
| - Bug in :meth:`.DataFrameGroupBy.transform` would raise when used with ``axis=1`` and a transformation kernel (e.g. "shift") (:issue:`36308`) | ||
| - Bug in :meth:`.DataFrameGroupBy.quantile` couldn't handle with arraylike ``q`` when grouping by columns (:issue:`35269`) |
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| thanks @GYHHAHA very nice |
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black pandasgit diff upstream/master -u -- "*.py" | flake8 --diff