combine_first(self, other: 'DataFrame') -> 'DataFrame'
Combine two DataFrame objects by filling null values in one DataFrame with non-null values from other DataFrame. The row and column indexes of the resulting DataFrame will be the union of the two.
Provided DataFrame to use to fill null values.
The result of combining the provided DataFrame with the other object.
Update null elements with value in the same location in other
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DataFrame.combine
Perform series-wise operation on two DataFrames using a given function.
>>> df1 = pd.DataFrame({'A': [None, 0], 'B': [None, 4]})
... df2 = pd.DataFrame({'A': [1, 1], 'B': [3, 3]})
... df1.combine_first(df2) A B 0 1.0 3.0 1 0.0 4.0
Null values still persist if the location of that null value does not exist in other
>>> df1 = pd.DataFrame({'A': [None, 0], 'B': [4, None]})See :
... df2 = pd.DataFrame({'B': [3, 3], 'C': [1, 1]}, index=[1, 2])
... df1.combine_first(df2) A B C 0 NaN 4.0 NaN 1 0.0 3.0 1.0 2 NaN 3.0 1.0
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.frame.DataFrame.combine
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