Saving processed Dataset to a CSV File using Pandas

Pandas: Machine Learning Integration Exercise-16 with Solution

Write a Pandas program to save the processed Dataset to a CSV file.

This exercise shows how to save the processed dataset to a CSV file using to_csv().

Sample Solution :

Code :

import pandas as pd

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

# Perform some data preprocessing (e.g., fill missing values)
df['Age'].fillna(df['Age'].mean(), inplace=True)

# Save the processed dataset to a CSV file
df.to_csv('processed_data.csv', index=False)

# Confirm the dataset is saved
print("Processed dataset saved to 'processed_data.csv'.")

Output:

Processed dataset saved to 'processed_data.csv'.

Explanation:

• Loaded the dataset using Pandas.
• Performed basic data preprocessing (filled missing values).
• Used to_csv() to save the processed dataset to a CSV file.
• Confirmed that the file was saved successfully.

Python-Pandas Code Editor:

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