On this page
pandas.Index.fillna
Index.fillna(self, value=None, 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 : Index
-
© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.Index.fillna.html