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GroupBy nth ignores observed keyword for Categorical #26385

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WillAyd opened this issue May 14, 2019 · 1 comment · Fixed by #26419

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@WillAyd
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commented May 14, 2019

Was looking to consolidate nth, first and last in the GroupBy world but was hitting some issues with categorical tests and handling of missing data. Note that the following calls are not equivalent, though they should be:

>>> import numpy as np
>>> import pandas as pd

>>> s1 = pd.Categorical([np.nan, 'a', np.nan, 'a'], categories=['a', 'b', 'c'])
>>> s2 = pd.Series([1, 2, 3, 4])
>>> df = pd.DataFrame({'s1': s1, 's2': s2})
>>> grp = df.groupby('s1', observed=False)
>>> grp.first()
     s2
s1
a   2.0
b   NaN
c   NaN

>>> grp.nth(0)
    s2
s1
a    2
@shantanu-gontia

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commented May 14, 2019

I get the output -

>>> grp.nth(0)
     s2
s1    
a    2
c    1
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