cudf.Series.fillna

Series.fillna(

value: None | ScalarLike | Series,

*,

axis: Axis | None = None,

inplace: bool = False,

limit: int | None = None,

) → Self | None

Fill null values with value.

Parameters:

valuescalar, Series-like or dict

Value to use to fill nulls. If Series-like, null values are filled with values in corresponding indices. A dict can be used to provide different values to fill nulls in different columns.

Returns:

resultSeries

Copy with nulls filled.

Examples

>>> import cudf
>>> ser = cudf.Series(['a', 'b', None, 'c'])
>>> ser
0       a
1       b
2     NaN
3       c
dtype: str
>>> ser.fillna('z')
0    a
1    b
2    z
3    c
dtype: str

fillna can also supports inplace operation:

>>> ser.fillna('z', inplace=True)
>>> ser
0    a
1    b
2    z
3    c
dtype: str