Pandas 连接两个数据帧，两个数据帧中具有相同索引的列彼此相邻

Question

I'm trying to join two dataframes together. They don't have any column with the same name, and I would like to make the columns with the same index in each dataframe to be put next to each other. Surprisingly, I did not find any document about this, or any existing question on StackOverflow.

So it might be easier to describe my question in an example:

df1:

A	B	C
5	3	7
6	8	9

df2:

One	Two	Three
5	3	7
6	8	9

Expected Result

A	One	B	Two	C	Three
5	3	7	5	3	7
6	8	9	6	8	9

Does anyone have an idea how to make this happen?

Answer 1

Here is another way:

(pd.DataFrame(
    pd.concat([df,df2],axis=1)
    .to_numpy(),
    columns = [j for i in zip(df.columns,df2.columns) for j in i]))