Pandas join two dataframes, columns with the same index from the two dataframes are next to each other

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]))