pandas.Index.fillna#

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

Fill NA/NaN values with the specified value.

Parameters:

valuescalar

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

downcastdict, 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 appropriateequal 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')