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>>> print(pd.DatetimeIndex.fillna.__doc__)
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
I'm pretty sure that the %(klass)s is supposed to be DatetimeIndex.
The text was updated successfully, but these errors were encountered:
Return Index without NA/NaN values
Parameters
----------
how : {'any', 'all'}, default 'any'
If the Index is a MultiIndex, drop the value when any or all levels
are NaN.
Returns
-------
valid : Index
I'm pretty sure that the
%(klass)s
is supposed to beDatetimeIndex
.The text was updated successfully, but these errors were encountered: