pyspark.pandas.Index.fillna

Index.fillna(value: Union[int, float, bool, str, bytes, decimal.Decimal, datetime.date, datetime.datetime, None]) → pyspark.pandas.indexes.base.Index[source]

Fill NA/NaN values with the specified value.

Parameters
valuescalar

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

Returns
Index :

filled with value

Examples

>>> idx = ps.Index([1, 2, None])
>>> idx
Float64Index([1.0, 2.0, nan], dtype='float64')
>>> idx.fillna(0)
Float64Index([1.0, 2.0, 0.0], dtype='float64')