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DOC: Clarify DataFrame.combine_first and Series.combine_first #40279

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Mar 8, 2021
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1 change: 1 addition & 0 deletions pandas/core/frame.py
Original file line number Diff line number Diff line change
Expand Up @@ -6772,6 +6772,7 @@ def combine_first(self, other: DataFrame) -> DataFrame:
Returns
-------
DataFrame
The result of combining the provided DataFrame with the other object.

See Also
--------
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30 changes: 21 additions & 9 deletions pandas/core/series.py
Original file line number Diff line number Diff line change
Expand Up @@ -2989,34 +2989,46 @@ def combine(self, other, func, fill_value=None) -> Series:

def combine_first(self, other) -> Series:
"""
Combine Series values, choosing the calling Series's values first.
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
----------
other : Series
The value(s) to be combined with the `Series`.
The value(s) to be used for filling null values.

Returns
-------
Series
The result of combining the Series with the other object.
The result of combining the provided Series with the other object.

See Also
--------
Series.combine : Perform elementwise operation on two Series
Series.combine : Perform element-wise operation on two Series
using a given function.

Notes
-----
Result index will be the union of the two indexes.

Examples
--------
>>> s1 = pd.Series([1, np.nan])
>>> s2 = pd.Series([3, 4])
>>> 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
"""
new_index = self.index.union(other.index)
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