removed_unused_categories gives a wrong result when there is a NaN in the values:
>>> s = pd.Series(["A", "B", pd.np.nan]).astype("category")
>>> s.cat.remove_unused_categories()
0 A
1 B
2 NaN
dtype: category
Categories (3, object): [B, A, B]
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