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
Original: https://blog.csdn.net/weixin_42584758/article/details/114492763
Author: 任我心意
Title: dataframe怎么按行求和_pandas.DataFrame对行和列求和及添加新行和列
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