![]() ![]() On the other hand, JSON files can have much more complex structures than CSV files, so a direct conversion is not always possible and will require us to rework our structure of the file concerned. SummaryĪs we have seen, it may be easy to convert a Json file to a CSV file. import json import csv def getleaves (item, keyNone): if isinstance (item, dict): leaves for i in item.keys (): leaves.extend (getleaves (item i, i)) return leaves elif isinstance (item, list): leaves for i in item: leaves.extend (getleaves (i, key)) return leaves else: return (key, item) with open ('json. Of course it’s possible to get all the JSON file data. To retrieve the header we need to use the keys() function which allows us to get the keys of each “ Name” element of our JSON file. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. We were able to export the different names of the Pokémon in the CSV. Here is an example with the pokedex.json file :Ĭsvwriter.writerow(data.keys()) Please see the explanation below and the sample files to understand how this works. This script can handle nested json with multiple objects and arrays. ![]() This python script converts valid, preformatted JSON to CSV which can be opened in excel and other similar applications. To read a JSON file we can use the read_json function. json-to-csv Nested JSON to CSV Converter. Indeed a lot of python API returns as a result of JSON and with pandas it is very easy to exploit this data directly. Pandas is a python library that allows to easily manipulate data to be analyzed. Use the json module to read the JSON file. ![]() Use the pandas library and its read_json function.The first step is to load the json file into a python object. We will see at the end of this tutorial how to convert this type of file to csv and see how to do it in python. This file represents the pokemons as well as the characteristics associated with each one of them, if you wish to recover the complete list of the Pokedex, you will find it at this address :
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