Sum of a column in pandas

Total = df['MyColumn'].sum()
print (Total)
319

Source: stackoverflow.com

Pandas ttable with sum totals

import numpy as np
import pandas as pd


df = pd.DataFrame({'a': [10,20],'b':[100,200],'c': ['a','b']})

df.loc['Column_Total']= df.sum(numeric_only=True, axis=0)
df.loc[:,'Row_Total'] = df.sum(numeric_only=True, axis=1)

print(df)

                 a      b    c  Row_Total
0             10.0  100.0    a      110.0
1             20.0  200.0    b      220.0
Column_Total  30.0  300.0  NaN      330.0

Source: stackoverflow.com

Similar codes

0 vote143 views1 answer
Save impt
Python
0 vote372 views1 answer
Range all columns of df such that the minimum value in each column is 0 and max is 1. in pandas
Python
5 votes156 views2 answers
Click button in selenium python
Python
2 votes90 views1 answer
Flask port number
Python
0 vote151 views1 answer
Name, *line = input().split()
Python
0 vote127 views1 answer
Find maximum element in stack
Python
0 vote146 views1 answer
Date format flouytter
Python
16 votes167 views3 answers
Self keyword in python
Python
0 vote137 views1 answer
Jugendwort 2019
Python
1 vote315 views1 answer
Pandas shift all columns
Python