If no path is provided, the method returns the JSON string as output and returns. The Dataframe.tojson (path, orient) method of the Pandas module, takes DataFrame and path as input and converts it into a JSON string, and saves it at the provided path. The json. Convert CSV File to JSON File in Python Using the Dataframe.tojson () Method in Python. Output: data.json Conversion 100.000 rows completed successfully in 0. Convert CSV File to JSON File in Python Using the json.dump () Method in Python. 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.Create a file path to your CSV file: csvFilePath ‘csvfilename.csv. Convert the Python List to JSON String using json.dumps(). I got help from a youtube tutorial linked below.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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