pyspark.pandas.Index.fillna¶
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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')