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Pandas DataFrame | combine_first method
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schedule Jul 1, 2022
Last updated local_offer Python●Pandas
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Pandas DataFrame.combine_first(~) method replaces all instances of NaN in one DataFrame with non-NaN values from the other DataFrame.
Note the following:
only columns that share the same column label will be combined.
if both values are
NaN, then the result will simply beNaN.
Parameters
1. other | DataFrame
The other DataFrame to combine with.
Return Value
A new DataFrame.
Examples
Basic usage
Consider the following DataFrames:
df = pd.DataFrame({"A":[None,4], "B":[5,6]})df_other = pd.DataFrame({"A":[1,8], "B":[2,pd.np.NaN], "C":[4,2]})
A B | A B C0 NaN 5 | 0 1 2 41 4 6 | 1 8 NaN 2
To replace all instances of NaN in df with the corresponding values from df_other:
df.combine_first(df_other)
A B C0 1.0 5 4.01 4.0 6 2.0
Notice how column C, which did not exist in df, has been appended.
Published by Isshin Inada
Edited by 0 others
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Official Pandas Documentation
https://pandas.pydata.org/pandas-docs/dev/reference/api/pandas.DataFrame.combine_first.html
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