By default, it returns the index for the maximum value in each column. To return the index for the maximum value in each row, use axis="columns".

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 …

Jun 1, 2021 · This tutorial explains how to use the idmax () function in pandas to find the max value across a specified axis.

Return the row label of the maximum value. If multiple values equal the maximum, the first row label with that value is returned. Unused. Parameter needed for compatibility with DataFrame. …

By default, it returns the index for the maximum value in each column. To return the index for the maximum value in each row, use axis="columns".

pyspark.pandas.DataFrame.idxmax # DataFrame.idxmax(axis=0) [source] # Return index of first occurrence of maximum over requested axis. NA/null values are excluded.

By default, it returns the index for the maximum value in each column. To return the index for the maximum value in each row, use axis="columns".

Dec 5, 2025 · Returns a new DataArray named after the dimension with the values of the coordinate labels along that dimension corresponding to maximum values along that …

Feb 25, 2024 · Two such tools are the idxmax() and idxmin() methods. These methods help you find the index of the first occurrence of the maximum and minimum values in a DataFrame or …

Nov 19, 2018 · Pandas dataframe.idxmax() function returns index of first occurrence of maximum over requested axis. While finding the index of the maximum value across any index, all …