import csv

def read_csv_file(file_path): """ Read data from a CSV file and return it as a list of dictionaries. Each dictionary represents a row in the CSV file. """ data = [] with open(file_path, 'r') as file: reader = csv.DictReader(file) for row in reader: data.append(row) return data

def process_data(input_data): """ Process the input data. For demonstration purposes, let's just convert the values in the 'value' column to integers. """ for row in input_data: row['value'] = int(row['value']) return input_data

def write_csv_file(data, file_path): """ Write the processed data to a CSV file. """ with open(file_path, 'w', newline='') as file: fieldnames = data[0].keys() writer = csv.DictWriter(file, fieldnames=fieldnames) writer.writeheader() for row in data: writer.writerow(row)

def main(): # Read data from the input CSV file input_file_path = 'input.csv' input_data = read_csv_file(input_file_path)

# Process the data
processed_data = process_data(input_data)

# Write the processed data to an output CSV file
output_file_path = 'output.csv'
write_csv_file(processed_data, output_file_path)

print("Data processing complete. Results written to", output_file_path)

if name == "main": main()