style object of DataFrame

df.style.format({'name':lambda x:x.lower()})

df.style.highlight_max(color='lightgreen')

df.style.highlight_min(color='red')\
.highlight_max(color='lightgreen')

df.style.format({'name':lambda x:x.lower()})\
.background_gradient(cmap='Blues')

Highlighting the row based on condition

def highlight(s):
    if s.mark >= 60: # change this condition 
        return ['background-color: yellow']*4
    else:
        return ['background-color: white']*4
df.style.apply(highlight, axis=1)

Creating HTML table from DataFrame

import pandas as pd
import numpy as np
from IPython.core.display import display, HTML
my_dict={
	'NAME':['Ravi','Raju','Alex'],
	'ID':[1,2,3],'MATH':[30,40,50],
	'ENGLISH':[20,30,40]
	}
df= pd.DataFrame(data=my_dict)
my_styles = [
    {
       'selector': 'th',
       'props': [('background-color', 'blue'),
                 ('font-size',16),('style','bold'),
                 ('font-family','Segoe UI')]
   },{
       'selector':'td',
      'props':[('background-color', 'yellow'),
               ('font-size',12)]
   }
]
dfs = df.style.set_table_styles(my_styles)

html = dfs.hide_index().render() # get html 
#create one html file#
with open("my_html.html","w") as fp:
   fp.write(html)

html = dfs.hide_index().render()
#*to display in a jupyter notebook*
display(HTML(html))