Data Analysis Using Python > Data Processing > Recoding using Label Encoder

Label Encoding

Label encoding is a data preprocessing technique used to convert categorical data into numeric form so that machine learning algorithms can process it.

For example:

Color	Encoded
Red	0
Green	1
Blue	2

So, "Red" → 0, "Green" → 1, "Blue" → 2

Example:

from sklearn.preprocessing import LabelEncoder

import pandas as pd

df = pd.DataFrame({

    'City': ['Dhaka', 'Rajshai', 'Khulna', 'Chattogram', 'Barishal', 'Cumilla']

})

df

0	Dhaka
1	Rajshai
2	Khulna
3	Chattogram
4	Barishal
5	Cumilla

 

# Creating a LabelEncoder object

encoder = LabelEncoder()

df['City_enc'] = encoder.fit_transform(df['City'])

	City	City_enc
0	Dhaka	3
1	Rajshai	5
2	Khulna	4
3	Chattogram	1
4	Barishal	0
5	Cumilla	2

 

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