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import csv |
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csv.field_size_limit(1000000000) |
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if __name__ == '__main__': |
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md5_to_row = dict() |
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with open("posts-2023-09-14.csv", "r", encoding="utf-8") as input_file: |
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reader = csv.reader(input_file) |
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header = next(reader) |
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for row in reader: |
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this_map = {row[3]:row} |
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md5_to_row.update(this_map) |
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aesthetic_score_rows = [] |
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with open("aesthetic_scores_t3.4_q90.csv", "r", ) as input_file_2: |
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reader = csv.reader(input_file_2) |
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_ = next(reader) |
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for row in reader: |
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aesthetic_score_rows.append(row) |
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with open("output.csv", "w", encoding="utf-8", newline="") as output_file: |
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writer = csv.writer(output_file) |
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header.append("aesthetic_score") |
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writer.writerow(header) |
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for row in aesthetic_score_rows: |
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this_md5 = row[1] |
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if this_md5 in md5_to_row.keys(): |
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this_row = md5_to_row[row[1]] |
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this_row.append(row[-1]) |
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writer.writerow(this_row) |
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