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DS-1000 / 30 / Considering a simple df:

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Problem:
Considering a simple df:
HeaderA | HeaderB | HeaderC 
    476      4365      457


Is there a way to rename all columns, for example to add to all columns an "X" in the end? 
HeaderAX | HeaderBX | HeaderCX 
    476      4365      457


I am concatenating multiple dataframes and want to easily differentiate the columns dependent on which dataset they came from. 
Or is this the only way?
df.rename(columns={'HeaderA': 'HeaderAX'}, inplace=True)


I have over 50 column headers and ten files; so the above approach will take a long time. 
Thank You


A:
<code>
import pandas as pd


df = pd.DataFrame(
    {'HeaderA': [476],
     'HeaderB': [4365],
     'HeaderC': [457]})
</code>
df = ... # put solution in this variable
BEGIN SOLUTION
<code>

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upstream_id / Original problem ID: 30
task_id: 5949c70c-a6d2-55f4-97a8-bf2764a1e885
task_key: default--test--30
task_revision_id: 2
config / split: default / test

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