My problem is that I would like to include the nested arrays into the cvs, so I have to flatten them. My current output looks something like this: | _id.id | device.browser | device.category | device.os |. #Excluding nested arrays from json dictionary #Excluding nested arrays from keys - hard coded -> IMPROVE With following code (here I exclude the nested parts): import jsonįrom pandas.io.json import json_normalize To do so I started with loading the json and then transformed it in a way that prints out nice output with json_normalize, then using pandas package I output the normalised parts into cvs. If the JSON file has a different structure, you may need to adjust the code accordingly.I am very new to Python and I am struggling with converting nested json file into cvs. In the example I provided, the JSON file is an array of objects, with each object having the same keys. It is essential to mention that the structure of the JSON file should match the structure that is expected by the code. The file can be generated from different sources, such as an API or data scraping, or it could be a file that you have created on your own. It could be any file that has a valid JSON format, such as a file containing information about products, customers, or weather data.
The data.json file in the previous example is a file that contains data in JSON format. If the JSON file has a different structure, you may need to adjust the code accordingly. Please note that this code assumes that the JSON file is an array of objects, each having the same keys. The fieldnames for the writer are set to the keys of the first element of the data. Then, it creates a new CSV file and uses the CSV module’s DictWriter() class to write the data to the file. In this example, the code first opens the JSON file using the open() function and the JSON module’s load() function, which reads the file’s contents and converts it to a Python object. # Create a new CSV file and write the data with open( 'data.csv', 'w', newline = '') as csv_file: Import csv import json # Open the JSON file with open( 'data.json') as json_file:
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