Highlight the maximum value in last two columns in Pandas – Python

In this article, we will discuss how to highlight the maximum values in Pandas Dataframe. Let’s 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': ['Sumit Tyagi', 'Sukritin', 'Akriti Goel',
                 'Sanskriti', 'Abhishek Jain'],
        'Age': [22, 20, np.nan, np.nan, 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 last 2 columns.

Method 1: Highlighting Cell with maximum value in last 2 columns

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
• axis: (0/1) based on which axis you want to find the maximum.

Example:

Python3

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

Output:

Method 2: Instead of using column names we generalise it to last two columns

Example:

Python3

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

Output:

Method 3: Highlighting the text instead of cell

Example: 

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, subset = df.columns[-2:])

Output:

Method 4: Highlighting cell with maximum values

Example: 

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, subset = df.columns[-2:])

Output: