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BUG: groupby with empty object, categorical grouper, and dropna=False fails #50634

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rhshadrach opened this issue Jan 9, 2023 · 0 comments · Fixed by #50635
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BUG: groupby with empty object, categorical grouper, and dropna=False fails #50634

rhshadrach opened this issue Jan 9, 2023 · 0 comments · Fixed by #50635
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Bug Categorical Categorical Data Type Groupby Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate

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df = DataFrame({'a': [1, 1, 2], 'b': [3, 4, 5]})
df['a'] = df['a'].astype('category')
df = df.iloc[:0]
gb = df.groupby('a', dropna=False, observed=True)
print(gb.sum())

gives ValueError: attempt to get argmax of an empty sequence
@rhshadrach rhshadrach added Bug Groupby Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Categorical Categorical Data Type labels Jan 9, 2023
@rhshadrach rhshadrach self-assigned this Jan 9, 2023
@rhshadrach rhshadrach mentioned this issue Jan 9, 2023
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Bug Categorical Categorical Data Type Groupby Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
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BUG: groupby with empty object, categorical grouper, and dropna=False fails rhshadrach/pandas
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@rhshadrach