Rename all columns of a dataframe removing all characters, if any, before the last slash

I have a dataframe where some, but not all, columns start with weird prefixes. For example,
ot1/pr1/cp1/dkjsakhka, gt2/pr1/fl1/ct4/rmt12/dasljdals, etc. I want to rename all columns which have slashes in their names by removing all the characters before the last slash, e.g. ot1/pr1/cp1/dkjsakhka -> dkjsakhka, gt2/pr1/fl1/ct4/rmt12/dasljdals -> dasljdals, while leaving the other column names untouched. How can I do that?

>Solution :

You can use str.rsplit:

df.columns = df.columns.str.rsplit('/', n=1).str[-1]

Output:

# before
>>> df.columns
Index(['untouched column', 'ot1/pr1/cp1/dkjsakhka',
       'gt2/pr1/fl1/ct4/rmt12/dasljdals'],
      dtype='object')

# after
>>> df.columns
Index(['untouched column', 'dkjsakhka', 'dasljdals'], dtype='object')

EDIT:

You can also use rename if you prefer:

df = df.rename(lambda x: x.rsplit('/', maxsplit=1)[-1], axis=1)