A dataframe in pandas is composed of columns which are series - Panda docs link
I'm going to use regex, because it's useful and everyone needs practice, myself included! Panda docs for text manipulation
Note the str.replace. The regex string you want is this (it worked for me): '.*@+.*' which says "any character (.) zero or more times (*), followed by an @ 1 or more times (+) followed by any character (.) zero or more times (*)
df['column'] = df['column'].str.replace('.*@+.*', 'replacement')
Should work, where 'replacement' is whatever string you want to put in.
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