pandas replace duplicates unique identifier
import pandas as pd
import numpy as np
data = {'Name':['Tom', 'Tom', 'Jack', 'Terry'], 'Age':[20, 21, 19, 18]}
df = pd.DataFrame(data)
nth = ['First', 'Second', 'Third', 'Fourth']
def prefix(d):
n = len(d)
if n > 1:
return d.radd([nth[i] for i in range(n)])
else:
return d
df.assign(Name=df.groupby('Name').Name.transform(prefix))
Name Age
0 FirstTom 20
1 SecondTom 21
2 Jack 19
3 Terry 18
