import pandas as pd
from sklearn.preprocessing import LabelEncoder
# Sample DataFrame
data = {'City': ['New York', 'Los Angeles', 'Chicago', 'New York']}
df = pd.DataFrame(data)
# Initialize the label encoder
label_encoder = LabelEncoder()
# Fit and transform the 'City' column
df['City_encoded'] = label_encoder.fit_transform(df['City'])
print(df)