pandas.Series.combine_first¶
- Series.combine_first(other)[source]¶
Update null elements with value in the same location in ‘other’.
Combine two Series objects by filling null values in one Series with non-null values from the other Series. Result index will be the union of the two indexes.
- Parameters
- otherSeries
The value(s) to be used for filling null values.
- Returns
- Series
The result of combining the provided Series with the other object.
See also
Series.combinePerform element-wise operation on two Series using a given function.
Examples
>>> s1 = pd.Series([1, np.nan]) >>> s2 = pd.Series([3, 4, 5]) >>> s1.combine_first(s2) 0 1.0 1 4.0 2 5.0 dtype: float64
Null values still persist if the location of that null value does not exist in other
>>> s1 = pd.Series({'falcon': np.nan, 'eagle': 160.0}) >>> s2 = pd.Series({'eagle': 200.0, 'duck': 30.0}) >>> s1.combine_first(s2) duck 30.0 eagle 160.0 falcon NaN dtype: float64