Anonymizing data / replacing names

Question

Normally I anonymize my data by using hashlib and using the .apply(hash) function.

Now im trying a new approach, imagine I have to following df called \'data\':

Answer 1

Maybe try to create a data frame called "index" for this operation and keep unique name values inside it?

Then produce masks with unique name indexes and merge the resulting data frame indexwith data.

index = pd.DataFrame()
index['name'] = df['name'].unique()
index['mask'] = index['name'].apply(lambda x : 'person' + 
str(index[index.name == x].index[0] + 1))

data.merge(index, how='left')[['mask', 'amount']]