Pandas Dataframe to Nested JSON

Question

I am trying to convert a Pandas Dataframe to a JSON object. My Dataframe contains data in the following format:

         student      date    grade                  


        

Answer 1

If you first have multiples indexes in your DataFrame and you do myDataframe.to_dict(orient='index') then it will create a dictionary where key=tuple and value="the remaining non-indexed columns".

You can simply create a recursive function that will create a dict as nested as the number of elements in the tuple key as follows:

def recurse(test):
    lentpl=len(list(test.keys())[0])
    if lentpl==2:
        return {k[0]:{k[1]:v} for k,v in test.items()}
    else:
        test2={k[0:-1]:{k[-1]:v} for k,v in test.items()}
        return recurse(test2)