How to Get the maximum value from the Pandas dataframe in Python?

Last Updated : 23 Jul, 2025

Python Pandas max() function returns the maximum of the values over the requested axis.

Syntax: dataframe.max(axis)

where,

axis=0 specifies column
axis=1 specifies row

Example 1: Get maximum value in dataframe row

To get the maximum value in a dataframe row simply call the max() function with axis set to 1.

Syntax: dataframe.max(axis=1)

Python3

# import pandas module import pandas as pd # create a dataframe # with 5 rows and 4 columns data = pd.DataFrame({ 'name': ['sravan', 'ojsawi', 'bobby', 'rohith', 'gnanesh'], 'subjects': ['java', 'php', 'html/css', 'python', 'R'], 'marks': [98, 90, 78, 91, 87], 'age': [11, 23, 23, 21, 21] }) # display dataframe print(data) # get the maximum in row data.max(axis=1)

Output:

Example 2: Get the maximum value in column

To get the maximum value in a column simply call the max() function using the axis set to 0.

Syntax: dataframe.max(axis=0)

Python3

# import pandas module import pandas as pd # create a dataframe # with 5 rows and 4 columns data = pd.DataFrame({ 'name': ['sravan', 'ojsawi', 'bobby', 'rohith', 'gnanesh'], 'subjects': ['java', 'php', 'html/css', 'python', 'R'], 'marks': [98, 90, 78, 91, 87], 'age': [11, 23, 23, 21, 21] }) # display dataframe print(data) # get the maximum in column data.max(axis=0)

Output:

Example 3: Get the maximum value in a particular column

To get the maximum value in a particular column call the dataframe with the specific column name and max() function.

Syntax: dataframe['column_name'].max()

Python3

# import pandas module import pandas as pd # create a dataframe # with 5 rows and 4 columns data = pd.DataFrame({ 'name': ['sravan', 'ojsawi', 'bobby', 'rohith', 'gnanesh'], 'subjects': ['java', 'php', 'html/css', 'python', 'R'], 'marks': [98, 90, 78, 91, 87], 'age': [11, 23, 23, 21, 21] }) # display dataframe print(data) # get the max in name column print(data['name'].max()) # get the max in subjects column print(data['subjects'].max()) # get the max in age column print(data['age'].max()) # get the max in marks column print(data['marks'].max())