# Read the JSON file as python dictionaryĭata = read_json(filename=r"article.json")ĭataframe = pandas. We can read the JSON string using the json.loads () function which is provided in the json library in Python to convert JSON to a DataFrame. Looking for a all column data in a tabular format file encountered an error") In this method, we will first convert the JSON to a Pandas DataFrame and from there convert it to a CSV file using the tocsv () method. But looking for a generic function which would be able to convert any nested JSON file to CSV.īut json_normalize and flaten modules only provide a single row at the end with all the column data in it. ![]() Tried using json_normalize(), flatten module as well.
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