Calculate Median in Python (5 Examples) | List, DataFrame Column, Row & by Group | NumPy & pandas
How to calculate the median value for a list or the columns of a pandas DataFrame in the Python programming language. More details: https://statisticsglobe.com/calculate...
Python code of this video:
my_list = [1, 4, 3, 2, 1, 3, 7, 1, 4, 1] # Create example list
print(my_list) # Print example list
[1, 4, 3, 2, 1, 3, 7, 1, 4, 1]
import numpy as np # Load NumPy library
print(np.median(my_list)) # Get median of list
2.5
import pandas as pd # Load pandas library
data = pd.DataFrame({'x1':[6, 2, 7, 2, 1, 5, 3, 4, 2, 7, 5], # Create pandas DataFrame
'x2':range(0, 11),
'group':['A', 'B', 'B', 'C', 'B', 'A', 'A', 'C', 'C', 'B', 'A']})
print(data) # Print pandas DataFrame
print(data['x1'].median()) # Get median of one column
4.0
print(data.median(numeric_only = True)) # Get median of all columns
x1 4.0
x2 5.0
dtype: float64
print(data.median(numeric_only = True, axis = 1)) # Get median of rows
0 3.0
1 1.5
2 4.5
3 2.5
4 2.5
5 5.0
6 4.5
7 5.5
8 5.0
9 8.0
10 7.5
dtype: float64
print(data.groupby('group').median()) # Get median by group
x1 x2
group
A 5.0 5.5
B 4.5 3.0
C 2.0 7.0
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