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DS-1000 / 270 / I've seen similar questions but mine is more direct and abstract.

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Problem:
I've seen similar questions but mine is more direct and abstract.

I have a dataframe with "n" rows, being "n" a small number.We can assume the index is just the row number. I would like to convert it to just one row.

So for example if I have

A,B,C,D,E
---------
1,2,3,4,5
6,7,8,9,10
11,12,13,14,5
I want as a result a dataframe with a single row:

A_0,B_0,C_0,D_0,E_0,A_1,B_1_,C_1,D_1,E_1,A_2,B_2,C_2,D_2,E_2
--------------------------
1,2,3,4,5,6,7,8,9,10,11,12,13,14,5
What would be the most idiomatic way to do this in Pandas?

A:
<code>
import pandas as pd
import numpy as np

df = pd.DataFrame([[1,2,3,4,5],[6,7,8,9,10],[11,12,13,14,15]],columns=['A','B','C','D','E'])
</code>
df = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Pandas

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Source and history

upstream_id / Original problem ID
270
task_id
94342b26-f493-5564-906a-418e7abdef04
task_key
default--test--270
task_revision_id
1
config / split
default / test

Official source

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