pandas 每一列相加_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