Applying one-hot encoding to categorical data using Pandas

Last update on December 21 2024 09:14:37 (UTC/GMT +8 hours)

Pandas: Machine Learning Integration Exercise-6 with Solution

Write a Pandas program to apply one-hot encoding to categorical variables..

Following exercise shows how to apply one-hot encoding to categorical variables using Pandas' get_dummies().

Sample Solution :

Code :

import pandas as pd

# Load the dataset
df = pd.read_csv('data.csv')

# Apply one-hot encoding to the 'Gender' column
df_encoded = pd.get_dummies(df, columns=['Gender'])

# Output the one-hot encoded dataset
print(df_encoded)

Output:

   ID      Name   Age   Salary  Target  Gender_Female  Gender_Male
0   1      Sara  25.0  50000.0       0           True        False
1   2    Ophrah  30.0  60000.0       1          False         True
2   3    Torben  22.0  70000.0       0          False         True
3   4  Masaharu  35.0  80000.0       1          False         True
4   5      Kaya   NaN  55000.0       0           True        False
5   6   Abaddon  29.0      NaN       1          False         True

Explanation:

• Loaded the dataset using Pandas.
• Used pd.get_dummies() to apply one-hot encoding to the 'Gender' column.
• Displayed the one-hot encoded dataset.

Python-Pandas Code Editor:

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