通过两个相等的列将熊猫连接到两个df python

Question

我有两个具有相似列但名称不同的df，我想用相似列来连接它们

那是我的df

data={"col1":["A","B","D","f"],
"col2":[4,2,4,6],
"col3":[7,6,9,11],
"col4":[14,11,22,8],
"multi":[1.4,2.5,1.6,2.2]}
df1=pd.DataFrame.from_dict(data)

data2={"col5":["A","B","D","f"],
"col6":[345,55,44,16],
"col7":[4,7,4,6],
"col8":[1,5,3,9],
"multi_2":[2,2,4,9]}
df2=pd.DataFrame.from_dict(data2)

我想通过列[“ col1”，“ col5”]来连接它们

它需要看起来像这样，但也可以与“ col5”一起使用

data3={"col1":["A","B","D","f"],
"col2":[4,2,4,6],
"col3":[7,6,9,11],
"col4":[14,11,22,8],
"multi":[1.4,2.5,1.6,2.2],
"col6":[345,55,44,16],
"col7":[4,7,4,6],
"col8":[1,5,3,9],
"multi_2":[2,2,4,9]}
df3=pd.DataFrame.from_dict(data3)
df3

Answer 1

df1.merge(df2, left_on='col1', right_on='col5').drop('col5', axis=1)