Highlight the maximum value in each column in Pandas

# 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

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

# 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)

# 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)

# 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)