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Pandas DataFrame idxmax() Method

❮ DataFrame Reference


Example

Return the index of the row with the highest sales, and the index of the row with the highest age:

import pandas as pd

data = {
  "sales": [23, 34, 56],
  "age": [50, 40, 30]
}

df = pd.DataFrame(data)

print(df.idxmax())
Try it Yourself »

Definition and Usage

The idxmax() method returns a Series with the index of the maximum value for each column.

By specifying the column axis (axis='columns'), the idxmax() method returns a Series with the index of the maximum value for each row.


Syntax

dataframe.idxmax(axis, skipna)

Parameters

The parameters are keyword arguments.

Parameter Value Description
axis 0
1
'index'
'columns'
Optional, Which axis to check, default 0.
skipna True
False
Optional, default True. Specifies whether to skip NULL values or not.

Return Value

A Series with the indexes of the rows/columns with the highest values.


❮ DataFrame Reference