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

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')

pyspark.pandas.Index.droplevel pyspark.pandas.Index.dropna