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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")
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