41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
import csv
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def read_csv(file_path):
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with open(file_path, mode='r', encoding='utf-8') as file:
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return list(csv.reader(file))
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def write_csv(file_path, data):
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with open(file_path, mode='w', encoding='utf-8', newline='') as file:
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writer = csv.writer(file)
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writer.writerows(data)
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def merge_tables(original_csv, new_csv):
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# Convert the lists to dictionaries for easier manipulation
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original_dict = {row[3]: row for row in original_csv}
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new_dict = {row[3]: row for row in new_csv}
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# Update or add new entries
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for key in new_dict:
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original_dict[key] = new_dict[key]
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# Convert the dictionary back to a list
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merged_data = list(original_dict.values())
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return merged_data
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def main():
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original_csv_path = './Conversion_Table.csv'
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new_csv_path = './Conversion_Table_New.csv'
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original_csv = read_csv(original_csv_path)
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new_csv = read_csv(new_csv_path)
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# Skip the header row in new_csv
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merged_data = merge_tables(original_csv, new_csv[1:])
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write_csv(original_csv_path, merged_data)
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print("Conversion tables have been merged and updated successfully.")
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if __name__ == "__main__":
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main()
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