cudf.DataFrame.nans_to_nulls#

DataFrame.nans_to_nulls()[source]#

Convert nans (if any) to nulls

Returns:

DataFrame or Series

Examples

Series

>>> import cudf, numpy as np
>>> series = cudf.Series([1, 2, np.nan, None, 10], nan_as_null=False)
>>> series
0     1.0
1     2.0
2     NaN
3    <NA>
4    10.0
dtype: float64
>>> series.nans_to_nulls()
0     1.0
1     2.0
2    <NA>
3    <NA>
4    10.0
dtype: float64

DataFrame

>>> df = cudf.DataFrame()
>>> df['a'] = cudf.Series([1, None, np.nan], nan_as_null=False)
>>> df['b'] = cudf.Series([None, 3.14, np.nan], nan_as_null=False)
>>> df
      a     b
0   1.0  <NA>
1  <NA>  3.14
2   NaN   NaN
>>> df.nans_to_nulls()
      a     b
0   1.0  <NA>
1  <NA>  3.14
2  <NA>  <NA>