pandas.DataFrame对行和列求和及添加新行和列

导入模块：

from pandas import DataFrame

import pandas as pd

import numpy as np

生成DataFrame数据

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

DataFrame数据预览：

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

计算各列数据总和并作为新列添加到末尾

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

计算各行数据总和并作为新行添加到末尾

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

最终数据结果：

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

原文地址：https://www.cnblogs.com/sjy18039225956/p/9311217.html