Download File Config Sahela.zip File

# Load data, assuming a CSV file was extracted df = pd.read_csv('extracted_data.csv')

import requests import zipfile import os

# List the extracted files print(os.listdir()) : Download File config sahela.zip

# Extract the file with zipfile.ZipFile('config_sahela.zip', 'r') as zip_ref: zip_ref.extractall()

# Example preprocessing steps df.dropna(inplace=True) # Remove rows with missing values df.processed_feature = df.feature_name.apply(lambda x: x**2) # Example transformation # Load data, assuming a CSV file was extracted df = pd

# Assuming you have the URL url = 'http://example.com/config_sahela.zip' response = requests.get(url)

# Save or use the preprocessed feature

# Save the file with open('config_sahela.zip', 'wb') as file: file.write(response.content)