Most real-world JSON is significantly more complex than either of these simple examples, to the point where we can say that the problem is not possible to solve in the general case without manual work on your part to separate out and normalize the data you want into a structure which is suitable for representing as a CSV matrix. This is not typical, but definitely within the realm of valid corner cases that Python could not possibly guess on its own how to handle.)
(Just to make it more interesting, one field is missing, and the dictionary order varies from one record to the next.
It’s easy to install ( brew install dasel ), and it works great as a format converter. Think of it as a jq that supports selection on formats besides just JSON. Many records of the below format are returned: Convert JSON to CSV via the Command Line The simplest way to do this JSON to CSV conversion is with dasel. With open(root_dir + 'filename.json') as json_file: I have a large Jsonl file (6GB+) which I need to convert to.
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