example

import pandas as pd
import numpy as np
import os,sys

df = pd.read_excel("C:\Users\ryanzhang\Desktop\template.xlsx")
a = df.columns
b = pd.DataFrame(a,a)
c = b.T
d = c.append(df)

def highlight_max(s):
    if s.name == 0:
    #print(['background-color: yellow' if v else '' for v in is_max])
        return ['background-color: yellow']*len(s)
    else:
        return ['']*len(s)
    
one = df.style.set_properties(**{'border-style': 'solid','border-width':'1px','text-align':'left'})
two = one.apply(highlight_max,axis=1)
two.to_excel("C:\Users\ryanzhang\Desktop\test.xlsx",header=False, index=False,)

import pandas as pd
a = [["ryan","job","can"],["good","you","me"],["ryan","hello","how"],["any","each","where"]]
name = ["one","two","three"]
index = ["four","five","six","seven"]
b = pd.DataFrame(a,index=index,columns=name)
print(b,"
")
def need_group(index):
    if b.loc[index]["one"] =="ryan":
        return 1
    elif b.loc[index]["one"] =="good":
        return 1
    elif b.loc[index]["one"] =="any":
        return 3

c = b.groupby(need_group)
for i,j in c:
    print(i,"
",j)