合并2个数据框 [英] Combining 2 dataframes
本文介绍了合并2个数据框的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我想合并2个相似的数据框.我已经检查了几个网站,但找不到我的问题的答案.
I want to combine 2 similar dataframes. I I have checked several websites but couldn't find an answer to my question.
df1 = DataFrame({'A': ['A0', 'A1', 'A2', 'A3'],
'B': ['B0', 'B1', 'B2', 'B3'],
'C': ['C0', 'C1', 'C2', 'C3'],
index=[0, 1, 2])
df2 = DataFrame({'A': ['A0', 'A1', 'A4', 'A3'],
'B': ['B0', 'B1', 'B4', 'B3'],
'D': ['D0', 'D1', 'D4', 'D3']},
index=[0, 1, 2])
我想拥有
df3 = DataFrame({'A': ['A0', 'A1', 'A3'],
'B': ['B0', 'B1', 'B3'],
'C': ['C0', 'C1', 'C3'],
'D': ['D0', 'D1', 'D3'].
index=[0, 1, 2, 3])
基本上,我合并了2个数据帧,并将列D添加到第一个数据帧.但是我忽略了没有同时包含C和D值的行,例如第2和第4行. 我试过了append和concat,但它只给了我所有的列和所有的行,它们彼此叠放.
Essentially I combine 2 dataframes, adding column D to the first dataframe. But I omit any rows that won't have values for both C and D, like row 2 and 4. I have tried append and concat but it just gives me all the columns and all the rows stacked on top of each other.
谢谢!
推荐答案
Just do a default merge
this will perform an inner join on common columns:
In [80]:
df1.merge(df2)
Out[80]:
A B C D
0 A0 B0 C0 D0
1 A1 B1 C1 D1
2 A3 B3 C3 D3
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