This article describes the sum of rows and columns in python (pandas.DataFrame) and the information about adding new rows and columns.

The method is as follows:

Import module:

from pandas import DataFrame
import pandas as pd
import numpy as np

Generate DataFrame data

df = DataFrame(np.random.randn(4, 5), columns=['A', 'B', 'C', 'D', 'E'])

DataFrame data preview:

  A  B  C  D  E
0 0.673092 0.230338 -0.171681 0.312303 -0.184813
1 -0.504482 -0.344286 -0.050845 -0.811277 -0.298181
2 0.542788 0.207708 0.651379 -0.656214 0.507595
3 -0.249410 0.131549 -2.198480 -0.437407 1.628228

Calculate the sum of the columns and add it to the end as a new column

df['Col_sum'] = df.apply(lambda x: x.sum(), axis=1)

Calculates the sum of the rows and adds them to the end as a new row

df.loc['Row_sum'] = df.apply(lambda x: x.sum())

Final data results:

  A  B  C  D  E Col_sum
0 0.673092 0.230338 -0.171681 0.312303 -0.184813 0.859238
1 -0.504482 -0.344286 -0.050845 -0.811277 -0.298181 -2.009071
2 0.542788 0.207708 0.651379 -0.656214 0.507595 1.253256
3 -0.249410 0.131549 -2.198480 -0.437407 1.628228 -1.125520
Row_sum 0.461987 0.225310 -1.769627 -1.592595 1.652828 -1.022097

conclusion