从Pandas中高度嵌套的JSON创建DataFrame吗？

Question

I have a deeply nested JSON file taken from IBM's personality analysis tool. What is the shortest way I can create a DataFrame out of it. It doesn't matter if the parent "key" is repeated in multiple rows . I can use multi indexing to make it look good. My primary concern is to make spread out the JSON into a dataframe. Here is the link to the JSON: https://api.myjson.com/bins/vmdaf

Answer 1

The json_normalize function is most likely what can help you out most here.

 from pandas.io.json import json_normalize

 df = json_normalize(my_json_blob)