try: df = pd.read_csv(csv_file, sep=';') # French data often uses semicolon separators # Feature: Display Column Names print("\n--- Features Available ---") print(df.columns.tolist()) # Coverage: Count Unique Postal Codes print("\n--- Coverage Analysis ---") unique_codes = df['CodePostal'].nunique() # Adjust column name as needed print(f"Total Unique Postal Codes: unique_codes") # Coverage: Departments included print("\nDepartments covered:") # This logic depends on French postal codes (first 2 digits = Dept) # df['Dept'] = df['CodePostal'].astype(str).str[:2] # print(df['Dept'].unique()) Mei To Room Memory V111 Rj01261991 🔥
# 3. Load and Analyze Coverage (Assuming CSV inside) # Update the filename to match what was inside the RAR csv_file = os.path.join(extract_folder, extracted_files[0]) Video Title- Nora Fatehi Is A Desperate Milf De... [FAST]
You will need the rarfile library and an installed copy of UnRAR.
However, the phrase "feature covering" is slightly ambiguous. I have interpreted it as a request for a (what this data/folder contains) and a Coverage Analysis (geographical extent of the data).