| import csv | |
| def count_words_in_csv(input_file, output_file): | |
| # Set the CSV field size limit to a large value, avoiding the overflow issue | |
| csv.field_size_limit(10**7) # 10 million, a high but safe limit | |
| # Open the input file with utf-8 encoding | |
| with open(input_file, 'r', encoding='utf-8') as infile: | |
| reader = csv.reader(infile) | |
| # Prepare the data for the output file | |
| output_data = [["Original Content", "Word Count"]] | |
| # Iterate through each row, count words, and add to output data | |
| for row in reader: | |
| content = row[0] # Get the content from the single column | |
| word_count = len(content.split()) # Count the words | |
| output_data.append([content, word_count]) | |
| # Write the output data to the output CSV file | |
| with open(output_file, 'w', newline='', encoding='utf-8') as outfile: | |
| writer = csv.writer(outfile) | |
| writer.writerows(output_data) | |
| print(f"Word count added to '{output_file}' successfully.") | |
| # Usage example | |
| count_words_in_csv(r"C:\Users\91745\OneDrive\Desktop\Github_analyser\output\local_repo\docs\quick_js_js.csv", "quickjsjs_count.csv") | |