![]() ![]() Our Convert CSV to JSON tool also has some other useful features that will help you to work with JSON data more efficiently. Output: data.json Conversion 100.000 rows completed successfully in 0. Now you can download the converted JSON file and Excel file or copy it to your clipboard. Print(f"Conversion 100.000 rows completed successfully in seconds") JsonString = json.dumps(jsonArray, indent=4) With open(jsonFilePath, 'w', encoding='utf-8') as jsonf: #convert python jsonArray to JSON String and write to file #load csv file data using csv library's dictionary reader ![]() With open(csvFilePath, encoding='utf-8') as csvf: For the test I made 100.000 lines in a csv file with copy/paste, and the whole conversion takes about half a second with Apple's M1 Chip while the presented example took only 0.0005 seconds.ĭef csv_to_json(csvFilePath, jsonFilePath):.You may write the JSON String to a JSON file.Convert the Python List to JSON String using json.dumps().Add the dictionary to the Python List created in step 1. ![]()
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