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33import pandas as pd
import hashlib
def generate_md5_hash(row):
# Use string representation exactly as-is from CSV
fields = [
str(row['VendorID']),
str(row['lpep_pickup_datetime']),
str(row['lpep_dropoff_datetime']),
str(row['PULocationID']),
str(row['DOLocationID']),
str(row['fare_amount']),
str(row['trip_distance']),
]
raw_input = ''.join(fields)
return hashlib.md5(raw_input.encode('utf-8')).hexdigest()
def add_unique_hash_column(input_csv_path, output_csv_path):
# Load the CSV file
df = pd.read_csv(input_csv_path, dtype=str, keep_default_na=False)
# Generate the hash for each row
df['unique_row_id'] = df.apply(generate_md5_hash, axis=1)
# Save the modified DataFrame to a new CSV
df.to_csv(output_csv_path, index=False)
print(f"Processed file saved to: {output_csv_path}")
# Example usage
input_csv = 'green_tripdata_2019-01.csv' # Replace with your input file path
output_csv = 'python.csv' # Replace with desired output file path
add_unique_hash_column(input_csv, output_csv)