How would I change/remove 'non-printable' characters e.g  from df.columns values incorporating the regex statements already in place

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Have tried the above with no success. Note ..This is specific to the text Column Headings and not the Column Values

df.columns = [x.lower().replace(" ","").replace("?","").replace("_","").replace( "Â" , "") for x in df.columns]

Would have replaced the non-printable character but has failed.

Can anyone help ?

csv export post the suggested solution



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