![]() ![]() ![]() 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. Many records of the below format are returned: ![]() In the next step, we extracted the keys from the first dictionary in the data list to use as column names for the CSV file. With open(root_dir + 'filename.json') as json_file: JSON data has been converted to CSV and saved to 'output.csv' In this example, we first loaded the JSON data into a Python object using the json.loads () function. I have a large Jsonl file (6GB+) which I need to convert to. ![]()
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