labelencoder for pandas

gistfile1.py

# Use `LabelEncoder` to encode encode labels with value between 0 and n_classes-1.

import pandas as pd
from sklearn.preprocessing import LabelEncoder

df = pd.DataFrame({'UserName': ['Peter', 'Richard', 'Peter'], 'exam': [1,2,2], 'score': [70,80,60]})

le = LabelEncoder()
df['UserName'] = le.fit_transform(df['UserName'])


UserName	exam	score
0	0	1	70
1	1	2	80
2	0	2	60