Pandas - expand nested json array within column in dataframe

Question

I have a json data (coming from mongodb) containing thousands of records (so an array/list of json object) with a structure like the below one for each object:

{         


        

Answer 1

The following code is what you want. You can unroll the nested list using python's built in list function and passing that as a new dataframe. pd.DataFrame(list(json_dict['nested_col']))

You might have to do several iterations of this, depending on how nested your data is.

from pandas.io.json import json_normalize


df= pd.concat([pd.DataFrame(json_dict), pd.DataFrame(list(json_dict['nested_array_to_expand']))], axis=1).drop('nested_array_to_expand', 1)