how to move data from one column to another column's row?

Question

I have following DataFrame

0	1	2	3	4
First	row	row	row	row
Second	row	row	row	row

beacuse my dataframe can be longer, I want to rename first 3 columns, and then I want the rows for the next 3 columns, to be dropped as a row for the first column

df.rename(columns={0:'data', 1:'user', 2:'file')

data	user	file	3	4	5
dataa_1	user_1	file_1	dataa_2	user_2	file_2
Second	row	row	row	row	row

and then I want to write some code, so the rest of 3 column's row would be moved as a second row of my first column:

data	user	file	3	4	5
dataa_1	user_1	file_1	row	row	row
dataa_2	user_2	file_2	row	row	row

Answer 1

Maybe something like this

import pandas as pd

df = pd.DataFrame([range(6),range(6)],columns = ['first','second','third','fourth','fifth','six'])
df2 = df[['fourth','fifth','six']]
df2 = df2.rename(columns = {'fourth':'first','fifth':'second','six':'third'})
df3 = pd.concat([df,df2])

For the following result