Get the mean and median from a Pandas column in Python

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', 'blue', '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	blue	92	Al Jennings
Omar Mullins	22	yellow	95	Omar Mullins
Spencer McDaniel	21	green	70	Spencer McDaniel

return the average/mean from a Pandas column

df['grade'].mean()

86.25

return the median from a Pandas column

df['grade'].median()

90.0

return descriptive statistics from Pandas dataframe

#Aside from the mean/median, you may be interested in general descriptive statistics of your dataframe
#--'describe' is a handy function for this
df.describe()

	age	grade
count	4.000000	4.000000
mean	20.500000	86.250000
std	1.290994	11.206397
min	19.000000	70.000000
25%	19.750000	83.500000
50%	20.500000	90.000000
75%	21.250000	92.750000
max	22.000000	95.000000