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# Getting column label of minimum value in each row in Pandas DataFrame

schedule Aug 10, 2023
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To get the column label of the minimum value in each row in Pandas DataFrame, use the `idxmin(axis=1)` method.

As an example, consider the following DataFrame:

``` df = pd.DataFrame({"A":[6,4],"B":[3,5]}, index=["a","b"])df A Ba 6 3b 4 5 ```

To get the column label of the minimum value in each row:

``` df.idxmin(axis=1) a Bb Adtype: object ```

# Dealing with duplicate minimums

When there are multiple minimums, then the column label of the first occurrence of the minimum in the row will be returned.

As an example, consider the following DataFrame:

``` df = pd.DataFrame({"A":[3,5],"B":[3,4],"C":[6,7]}, index=["a","b"])df A B Ca 3 3 6b 5 4 7 ```

Calling `idxmin(~)` yields:

``` df.idxmin(axis=1) a Ab Bdtype: object ```

Notice how column label `A` was returned instead of column label `B` for the first row.

Published by Isshin Inada
Edited by 0 others
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