Output: data.json Conversion 100.000 rows completed successfully in 0. 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 Step 2: Open the CSV file using a file handler. Input function can also be used to display some string while asking for input. Input function by default takes input in the form of a string and this is exactly what we need. This can be achieved with the help of the input function. It will be: csvw csv. Step 1: Take input the CSV file and the JSON file paths. With open(csvFilePath, encoding='utf-8') as csvf: You need to simply add the lineterminatorn parameter to the csv.writer. 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. Read the lines of CSV file using csv.DictReader() function.To convert CSV to JSON in Python, follow these steps:
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