cudf.DataFrame.fillna#

DataFrame.fillna( value, *, axis: Axis | None = None, inplace: bool = False, limit: int | None = None, ) → Self | None[source]#

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:

resultDataFrame, Series, or Index: Copy with nulls filled.

Examples

>>> import cudf
>>> df = cudf.DataFrame({'a': [1, 2, None], 'b': [3, None, 5]})
>>> df
      a     b
0     1     3
1     2  <NA>
2  <NA>     5
>>> df.fillna(4)
   a  b
0  1  3
1  2  4
2  4  5
>>> df.fillna({'a': 3, 'b': 4})
   a  b
0  1  3
1  2  4
2  3  5

fillna can also supports inplace operation:

>>> df.fillna({'a': 3, 'b': 4}, inplace=True)
>>> df
   a  b
0  1  3
1  2  4
2  3  5