Get the index of maximum value in DataFrame column

Last Updated : 25 Sep, 2025

In this article, we will learn how to get maximum value in a Pandas Dataframe.

To download the dataframe used in this example, click here.

Step 1: Load the Dataset

Python 
import pandas as pd 
  
df = pd.read_csv(r'enter the path to dataset here') 

df.head(10)

Output:

Explanation:

  • pd.read_csv(): loads the dataset as a pandas dataframe
  • df.head(10): prints the top 10 rows of the dataframe.

Step 2: Find the Index of Maximum Weight

idxmax() returns the row index where the column has its maximum value.

Python 
df[['Weight']].idxmax()

Output:

We can verify whether the maximum value is present in index or not. 

Python 
import pandas as pd 
   
df = pd.read_csv("nba.csv")

df.iloc[400:410]

Output: 

df.iloc[400:410]: slices the rows from index 400 to 409 in the DataFrame to check the actual values and verify where the maximum value is located.

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