Sort a dataframe in Pandas based on multiple columns

import modules

import pandas as pd
import numpy as np

create dummy dataframe

raw_data = {'name': ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'],
'age': [20, 19, 22, 21],
'favorite_color': ['blue', 'red', 'yellow', "green"],
'grade': [88, 92, 95, 70]}
df = pd.DataFrame(raw_data, index = ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'])
df

	age	favorite_color	grade	name
Willard Morris	20	blue	88	Willard Morris
Al Jennings	19	red	92	Al Jennings
Omar Mullins	22	yellow	95	Omar Mullins
Spencer McDaniel	21	green	70	Spencer McDaniel

sort Pandas dataframe based on two columns: age, grade

#age in ascending order, grade descending order
df.sort_values(['age', 'grade'], ascending=[True, False])

	age	favorite_color	grade	name
Al Jennings	19	red	92	Al Jennings
Willard Morris	20	blue	88	Willard Morris
Spencer McDaniel	21	green	70	Spencer McDaniel
Omar Mullins	22	yellow	95	Omar Mullins