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Pandas DataFrame | idxmax method

schedule Aug 12, 2023
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Pandas DataFrame.idxmax(~) method returns the column/row label of the maximum value of each row/column of the source DataFrame. If there are multiple maximums, then the index or label of the first maximum is returned.

Parameters

1. axis | int or string | optional

Whether to return the index of the maximum row-wise or column-wise:

Axis

Description

"index" or 0

Index (row label) of the maximum in each column

"columns" or 1

Column label of the maximum in each row

By default, axis=0.

2. skipna | boolean | optional

Whether or not to skip NaN values. By default, skipna=True.

Return Value

A Series holding the label of the maximum value of each row or column of the source DataFrame.

Examples

Consider the following DataFrame:

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

The row label of the maximum value for each column is:

df.idxmax()
A b
B a
dtype: object

The column label of the maximum value for each row is:

df.idxmax(axis=1)
a B
b B
dtype: object
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Published by Isshin Inada
Edited by 0 others
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