# Import data from CSV2 under the column "Description" into ImageImport.csvĬsv1_data = description # Update the Image URL in ImageImport.csv # Search in CSV2 for values in "Main Image" and import them into ImageImport.csv Updated_product_name = product_name.replace("#0057A6", image_url)ĭata = updated_product_name # Update the product name with the new image URL # Iterate over CSV2 and update CSV1 data if a match is found # Load CSV1 data into a list of dictionaries for easy lookup and preservation of orderĬsv1_data = list(reader1) # Convert reader1 to a list of dictionaries □ Learn More: I have compiled an “ultimate guide” on the Finxter blog that shows you the best method, respectively, to convert a CSV file to JSON, Excel, dictionary, Parquet, list, list of lists, list of tuples, text file, DataFrame, XML, NumPy array, and list of dictionaries.Def compare_and_replace(csv1_file, csv2_file): Get your Python One-Liners on Amazon!! More Python CSV Conversions
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