pandas.DataFrame對行和列求和及添加新行和列

 

 

導入模塊：

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

生成DataFrame數據

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

DataFrame數據預覽：

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 

計算各列數據總和並作為新列添加到末尾

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

計算各行數據總和並作為新行添加到末尾

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

最終數據結果：

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