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. I have a large nested JSON file (1.4GB) and I would like to make it flat and then convert it to a CSV file. I tried several solutions but I couldn't solve my problem. Many records of the below format are returned: Convert nested JSON to CSV file in Python Ask Question Asked 6 years, 5 months ago Modified 7 months ago Viewed 57k times 9 I know this question has been asked many times. Any number of nesting and records in a JSON can be handled with minimal code using jsonnormalize() method in pandas. With open(root_dir + 'filename.json') as json_file: import pandas as pd df pd.readjson ( r'C:\Users\Ron\Desktop\Test\ProductList.json' ) df.tocsv ( r'C:\Users\Ron\Desktop\Test\NewProducts.
I have a large Jsonl file (6GB+) which I need to convert to. pip install pandas The following code demonstrates how to convert JSON to CSV using Python pandas.
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