# In python pandas.DataFrame sums up rows and columns and adds a new row and column example

• 2020-05-27 05:55:58
• OfStack

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

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