Having difficulty in transforming nested json to flat json using python

Question

I have a below API response. This is a very small subset which I am pasting here for reference. there can be 80+ columns on this.

[["name","age","children","city", "info"], ["Richard Walter", "35", ["Simon", "Grace"], {"mobile":"yes","house_owner":"no"}],
["Mary", "43", ["Phil", "Marshall", "Emily"], {"mobile":"yes","house_owner":"yes", "own_stocks": "yes"}],
["Drew", "21", [], {"mobile":"yes","house_owner":"no", "investor":"yes"}]]

Initially I thought pandas could help here and searched accordingly but as a newbie to python/coding I was not able to get much out of it. any help or guidance is appreciated.

I am expecting output in a JSON key-value pair format such as below.

{"name":"Mary", "age":"43", "children":["Phil", "Marshall", "Emily"],"info_mobile":"yes","info_house_owner":"yes", "info_own_stocks": "yes"},
{"name":"Drew", "age":"21", "children":[], "info_mobile":"yes","info_house_owner":"no", "info_investor":"yes"}]```

Answer 1

I assume that the first list always will be the headers (column names)? If that is the case, maybe something like this could work.

import pandas as pd
data = [["name", "age", "children", "info"], ["Ned", 40, ["Arya", "Rob"], {"dead": "yes", "winter is coming": "yes"}]]

headers = data[0]
data = data[1:]

df = pd.DataFrame(data, columns=headers)
df_json = df.to_json()
print(df)

Answer 2

Assuming that the first list always represents the keys ["name", "age"... etc] and then the subsequent lists represent the actual data/API response then you can construct a dictionary (key pair values) like this.

keys = ["name", "age", "children", "info"]
api_response = ["Richard Walter", "35", ["Simon", "Grace"], {"mobile":"yes","house_owner":"no"}]
data_dict = {k: v for k, v in zip(keys, api_response)}