Create a new Python file like: jsontocsv.py Add this code: import. I'm looking for a more elegant solution to achieve this with fewer lines of code.Īttached is a sample output JSON for reference. Hi everybody, this is a simple snippet to help you convert your JSON file to a CSV file using a Python script. Creating separate code for each of these columns seems redundant and inefficient. # Apply the function to each row of the DataFrameĭf_final = pd.concat(, axis=1)ĭf_final.to_csv('resul.csv', index=False)Īlthough I have successfully created separate columns for some nested data, there are still other nested values within these columns. # Custom function to extract values from JSON objects Max_objects = max(len(item_list) for item_list in df_item) # Determine the maximum number of JSON objects in a cell My goal is to get a csv with all the columns inside the json, and to do this I have to create single columns for each nested index inside the JSON.Ĭredentials = " for i in range(max_items) for key in keys] I have a nested json output from an API request.
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