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BUG in remove_unused_categories with NaNs in values #11599

jorisvandenbossche opened this Issue Nov 13, 2015 · 0 comments


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jorisvandenbossche commented Nov 13, 2015

From SO:

removed_unused_categories gives a wrong result when there is a NaN in the values:

>>> s = pd.Series(["A", "B",]).astype("category")
0      A
1      B
2    NaN
dtype: category
Categories (3, object): [B, A, B]

I think the -1 in the codes (NaN) duplicates the last item in the categories

@jorisvandenbossche jorisvandenbossche added this to the 0.17.1 milestone Nov 13, 2015

@jreback jreback modified the milestones: Next Major Release, 0.17.1 Nov 13, 2015

@jreback jreback modified the milestones: 0.17.1, Next Major Release Nov 18, 2015

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