Highlight the maximum value in each column in Pandas

Last Updated : 28 Jul, 2020

Let’s discuss how to highlight the maximum values in Pandas Dataframe. Lets first make a dataframe:

Example:

Python3

# Import Required Libraries 
import pandas as pd 
import numpy as np 
  
# Create a dictionary for the dataframe 
dict = {'Name': ['Sukritin', 'Sumit Tyagi', 'Akriti Goel', 
                 'Sanskriti', 'Abhishek Jain'],  
        'Age': [22, 20, 45, 21, 22], 
        'Marks': [90, 84, 33, 87, 82]} 
  
# Converting Dictionary to Pandas Dataframe 
df = pd.DataFrame(dict) 
  
# Print Dataframe 
df

Output:

Now, come to the highlighting part. Our objective is to highlight cells with maximum values in each column.

Method 1: Highlighting Cell with maximum value in each column

We will do this by using the highlight_max() method of DataFrame property. highlight_max() method takes 3 arguments, subset = name of the columns of which you want to find the maximum, color = name of the color with which you want to highlight the cell and axis = (0/1) based on which axis you want find the maximum.

Python3

# Highlighting the maximum values of 
# last 2 columns 
df.style.highlight_max(color = 'lightgreen', axis = 0)

Output:

Method 2: Highlighting the text instead of cell

Python3

# Defining custom function which returns  
# the list for df.style.apply() method 
def highlight_max(s): 
    is_max = s == s.max() 
    return ['color: green' if cell else '' for cell in is_max] 
  
df.style.apply(highlight_max)

Output:

Method 3: Highlighting cell with maximum values

Python3

# Defining custom function which returns  
# the list for df.style.apply() method 
def highlight_max(s): 
    is_max = s == s.max() 
    return ['background: lightgreen' if cell else '' for cell in is_max] 
  
df.style.apply(highlight_max)

Output:

Method 4: Highlighting cell with maximum values but not highlighting the string values

Python3

# Defining custom function which returns 
# the list for df.style.apply() method 
def highlight_max(s): 
    if s.dtype == np.object: 
        is_max = [False for _ in range(s.shape[0])] 
    else: 
        is_max = s == s.max() 
    return ['background: lightgreen' if cell else '' for cell in is_max] 
  
df.style.apply(highlight_max)

Output:

Get the index of maximum value in DataFrame column

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Highlight the maximum value in each column in Pandas

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