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 You can just put the Value of the Parse JSON step into the Create CSV action (you could even probably put the HTTP body directly into the create CSV as you are receiving it in JSON format anyway). #load csv file data using csv library's dictionary reader You dont need the append to array variable step. 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. feat: initial commit with a minimalistic CSV to JSON converter.

Convert the Python List to JSON String using json.dumps().Dealing with the characters: n, is hard when trying to convert a CSV file to a JSON String. Add the dictionary to the Python List created in step 1. I dont give much explanation of the code. Read the lines of CSV file using csv.DictReader() function.To convert CSV to JSON in Python, follow these steps:

Convert json to csv