8000 Bug groupby idxmin by rbenes · Pull Request #25531 · pandas-dev/pandas · GitHub
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Bug groupby idxmin #25531

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Merged
merged 15 commits into from
Mar 30, 2019
Merged

Bug groupby idxmin #25531

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9c1b4ce
Avoid casting in specific situations
radekbenesinno Feb 27, 2019
b947efa
Unit test
rbenes Mar 2, 2019
4248eac
Add GH issue link
radekbenesinno Mar 4, 2019
538f8f5
Pep8 fixes
radekbenesinno Mar 4, 2019
d874ef7
Move test to test_function.py and implement PR changes
rbenes Mar 4, 2019
29afd36
Unit test updates according to PR
radekbenesinno Mar 6, 2019
f23e884
Update in cast handling
radekbenesinno Mar 6, 2019
73a4545
Whats new added
radekbenesinno Mar 6, 2019
aa503f3
Merge branch 'master' of git://github.com/pandas-dev/pandas into bug_…
radekbenesinno Mar 14, 2019
248e9f0
Merge branch 'master' of https://github.com/pandas-dev/pandas into bu…
rbenes Mar 19, 2019
510b221
Whats new moved and re-formulated
rbenes Mar 19, 2019
3cd23e7
Unit test for GH 15306
rbenes Mar 23, 2019
7a639f9
Whats new updated wit GH 15306
rbenes Mar 23, 2019
ccc1048
Better usage of pd.to_datetime
rbenes Mar 24, 2019
28b5ab2
Whats new updated
rbenes Mar 24, 2019
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@rbenes
rbenes committed Mar 24, 2019
commit 28b5ab2fe70420867aed8d09bde27df53e5ef1fd
2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.25.0.rst
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Expand Up @@ -254,7 +254,7 @@ Groupby/Resample/Rolling
- Bug in :func:`pandas.core.groupby.GroupBy.agg` when applying a aggregation function to timezone aware data (:issue:`23683`)
- Bug in :func:`pandas.core.groupby.GroupBy.first` and :func:`pandas.core.groupby.GroupBy.last` where timezone information would be dropped (:issue:`21603`)
- Ensured that ordering of outputs in ``groupby`` aggregation functions is consistent across all versions of Python (:issue:`25692`)
- Bug in :func:`pandas.core.groupby.GroupBy.idxmin` and :func:`pandas.core.groupby.GroupBy.idxmax` where datetime columns would incorrectly return datetime values instead of ints (:issue:`25444`, :issue:`15306`)
- Bug in :func:`idxmax` and :func:`idxmin` on :meth:`DataFrame.groupby` with datetime column would return incorrect dtype (:issue:`25444`, :issue:`15306`)


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