![]() 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: JSON is referred to as comparatively better than CSV while working with the large volume of data and in terms of scalability of files or application. Convert CSV to JSON with Python I got help from a youtube tutorial linked below import csv and import json packages Create a file path to your CSV file: csvFilePath. #convert python jsonArray to JSON String and write to file The following steps convert a JSON string to a CSV file using Python: Import Pandas Import Pandas using import pandas as pd Load the JSON string as a Pandas DataFrame Load the DataFrame using pd. #load csv file data using csv library's dictionary reader With open(csvFilePath, encoding='utf-8') as csvf:
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