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. JSON and CSV are two different file formats, but you can convert between them in Python. Call the ‘writer’ function passing the CSV file as a parameter and use the ‘writerow’ method to write the JSON file content (now converted into Python dictionary) into the CSV file.
Read the lines of CSV file using csv.DictReader () function.
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.) How to Convert JSON to CSV in Python JSON and CSV are two different file formats, but you can convert between them in Python. Add the dictionary to the Python List created in step 1. (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: python json csv pandas Share Follow asked at 15:07 An economist 1,291 1 15 35 Add a comment 3 Answers Sorted by: 6 Thanks to the great blog post by Amir Ziai which you can find here I managed to output my data in form of a flat table. With open(root_dir + 'filename.json') as json_file: I have a large Jsonl file (6GB+) which I need to convert to.