在 pandas 中合并具有相同列名但列数不同的两个数据框

问题描述：

我有两个熊猫数据框

df1 = DataFrame([[0,123,321],[0,1543,432]], columns=['A', 'B','C'])
df2 = DataFrame([[1,124],[1,1544]], columns=['A', 'C'])

我想将它们合并，以便新数据框如下所示

I want to merge these so that the new dataframe would look like below

A     |    B      |   C
0         123        321
0         1543       432
1         null       124
1         null       1544

我尝试使用append和concat，但是似乎没有任何效果.任何帮助将不胜感激.

I have tried using append and concat but nothing seems to work. Any help would be much appreciated.

答

连接数据框

import pandas as pd
pd.concat([df1,df2], axis=0)
   A     B     C
0  0   123   321
1  0  1543   432
0  1   NaN   124
1  1   NaN  1544