Read JSON to pandas dataframe - ValueError: Mixing dicts with non-Series may lead to ambiguous ordering

Question

I am trying to read in the JSON structure below into pandas dataframe, but it throws out the error message:

ValueError: Mixing dicts with non-Series may

Answer 1

If you need only the result part in the data frame, here is the code to help you:

import json
import pandas as pd
data = json.load(open('json_file.json'))

df = pd.DataFrame(data["result"])

To the best of my knowledge, the ValueError occurs because the data types are all over the place, some strings, some lists, multiple {} etc. This error may be solved by normalizing the data. To do that, here is the code below:

import json

with open('json_file.json') as project_file:    
    data = json.load(project_file)  

df = pd.json_normalize(data)

Answer 2

You can use json_normalize with assign:

from pandas.io.json import json_normalize
import json

with open('json_file.json') as data_file:    
    d= json.load(data_file)  

df = json_normalize(d, 'result').assign(**d['status'])
print (df)
   club_id  id  statuscode  statusmessage
0    16182  22         200  Everything OK
1    16182  23         200  Everything OK
2    16182  24         200  Everything OK
3    16182  25         200  Everything OK
4    16182  26         200  Everything OK
5    16182  27         200  Everything OK

Answer 3

If you just need the result part in a dataframe, then here is the code to help you.

import json
import pandas as pd
data = json.load(open('json_file.json'))

df = pd.DataFrame(data["result"])