8000 BUG : ValueError in case on NaN value in groupby columns by cgangwar11 · Pull Request #24850 · pandas-dev/pandas · GitHub
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BUG : ValueError in case on NaN value in groupby columns #24850

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Jan 22, 2019
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minor_documentation_fix
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cgangwar11 committed Jan 21, 2019
commit ee1c9af72d2490c5ee342fd96a9b0937b015f1a0
2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.24.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -1782,7 +1782,7 @@ Groupby/Resample/Rolling
- Bug in :meth:`DataFrame.groupby` did not respect the ``observed`` argument when selecting a column and instead always used ``observed=False`` (:issue:`23970`)
- Bug in :func:`pandas.core.groupby.SeriesGroupBy.pct_change` or :func:`pandas.core.groupby.DataFrameGroupBy.pct_change` would previously work across groups when calculating the percent change, where it now correctly works per group (:issue:`21200`, :issue:`21235`).
- Bug preventing hash table creation with very large number (2^32) of rows (:issue:`22805`)
- Bug in :meth: `pandas.core.groupby.groups` which casues ``ValueError`` if ``observed=True`` and ``nan`` is present in group column (:issue:`22805`)
- Bug in :meth: `pandas.core.groupby.groups` which casues ``ValueError`` if ``observed=True`` and ``nan`` is present in group column (:issue:`22805`).
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pandas.core.groupby.groups isn't a method. How about just "Bug in groupby causing a ValueError if ..."


Reshaping
^^^^^^^^^
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