python-scikit-learnHow to use label encoder

Usage example

import pandas as pd
from sklearn import preprocessing

ages = [50, 51, 52, 45, 40, 56]
countries = ['USA', 'Ukraine', 'Ukraine', 'UK', 'UK']

df = pd.DataFrame(list(zip(ages, countries)), columns=['Age', 'Country'])
print(df)

labelencoder = preprocessing.LabelEncoder()
df['Country'] = labelencoder.fit_transform(df['Country'])
print(df)

output

   Age  Country
0   50      USA
1   51  Ukraine
2   52  Ukraine
3   45       UK
4   40       UK
   Age  Country
0   50        1
1   51        2
2   52        2
3   45        0
4   40        0