combine_first(self, other) -> 'Series'
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.
The value(s) to be used for filling null values.
The result of combining the provided Series with the other object.
Update null elements with value in the same location in 'other'.
Series.combine
Perform element-wise operation on two Series using a given function.
>>> 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})See :
... s2 = pd.Series({'eagle': 200.0, 'duck': 30.0})
... s1.combine_first(s2) duck 30.0 eagle 160.0 falcon NaN dtype: float64
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.series.Series.combine
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