The desired CSV data is created using the generate_csv_data() function.

If the value is again a dict then it concatenates the key string with the key string of the nested dict. It checks for the key-value pairs in the dict object.

We normalize the dict object using the normalize_json() function.

The read_json() function is used for the task, which taken the file path along with the extension as a parameter and returns the contents of the JSON file as a python dict object. This will help us to make use of python dict methods to perform some operations.

The first step is to read the JSON file as a python dict object.

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ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.DevOps Engineering - Planning to Production.Python Backend Development with Django(Live).Android App Development with Kotlin(Live).Full Stack Development with React & Node JS(Live).Java Programming - Beginner to Advanced.Data Structure & Algorithm-Self Paced(C++/JAVA).Data Structures & Algorithms in JavaScript.As my JSON has nested objects, so it normally cannot be directly converted to CSV.I don't want to do any hard coding and I want to make a python code fully dynamic.

Data Structure & Algorithm Classes (Live) 1 May-20-2022, 10:47 PM Want to convert Sample JSON data into CSV file using python.

Python code to convert json to csv