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 vote326 views2 answers
Binary Search tree implementation in python
Python
8 votes325 views3 answers
Remove the First Character From the String in Python Using the Slicing
Python
0 vote352 views2 answers
ValueError: 'mean_absolute_error' is not a valid scoring value. Use sorted(sklearn.metrics.SCORERS.keys()) to get valid options.
Python
0 vote320 views2 answers
Python add 1
Python
0 vote324 views1 answer
How to wait until pressing button in tkinter
Python
1 vote351 views1 answer
Django urlpattern
Python Django
0 vote271 views1 answer
Opencv find image in image
Python
3 votes318 views1 answer
Python for loop jump by 2
Python
0 vote412 views1 answer
Cv2.imshow not working in vscode
Python
0 vote316 views5 answers
Dynamically limiting queryset of related field
Python