I have a Pandas DataFrame with one Serie containing ordered Categorical data. Some value of this Serie may be missing (NaN). I want to get the minimum without taking into account NaNs but I obtained strange results ...

Code:

raw_cat = pd.Categorical(["a", "b", "c", "a"], categories=["b", "c", "d"], ordered=True) s = pd.Series(raw_cat) raw_cat.min(numeric_only=True), s.min(numeric_only=True)

Output:

('b', nan)

Expected utput:

('b', 'b')

I am getting the desired output when running this code with pandas 0.23.4 but not with pandas 0.24.0 and above.

Is this an issue or a misunderstanding? Thank you for your help.