CategoricalIndex.fillna()

CategoricalIndex.fillna(value, downcast=None) [source]

Fill NA/NaN values with the specified value

Parameters:

value : scalar

Scalar value to use to fill holes (e.g. 0). This value cannot be a list-likes.

downcast : dict, default is None

a dict of item->dtype of what to downcast if possible, or the string ?infer? which will try to downcast to an appropriate equal type (e.g. float64 to int64 if possible)

Returns:

filled : %(klass)s

doc_Pandas
2017-01-12 04:44:39
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