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coalesce - pandas version shouldn't replace NaN when other is also NaN-like #168

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machow opened this issue Dec 2, 2019 · 0 comments

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be:pandas type:bug

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machow commented Dec 2, 2019

For example, in the code below, the output replace np.nan from the first series, with None...

x = pd.Series([1., None, None])
abc = pd.Series(['a', 'b', None])
coalesce(x, abc)

#        0    1
#       1    b
#        2    None
#        dtype: object

machow added this to siuba

machow added the type:bug label

machow added the be:pandas label

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