pandas.Index.fillna

Index.fillna(value=None, downcast=<no_default>)[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).

Deprecated since version 2.1.0.

Returns:

Index

See also

DataFrame.fillna

Fill NaN values of a DataFrame.

Series.fillna

Fill NaN Values of a Series.

Examples

>>> idx = pd.Index([np.nan, np.nan, 3])
>>> idx.fillna(0)
Index([0.0, 0.0, 3.0], dtype='float64')