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Pandas DataFrame | combine_first method

Pandas
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DataFrame
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Binary Operators
schedule Jul 1, 2022
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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 be NaN.

Parameters

1. otherlink | 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 C
0 NaN 5 | 0 1 2 4
1 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 C
0 1.0 5 4.0
1 4.0 6 2.0

Notice how column C, which did not exist in df, has been appended.

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Published by Isshin Inada
Edited by 0 others
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