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

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Read JSON to pandas dataframe – ValueError: Mixing dicts with non-Series may lead to ambiguous ordering in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How Read JSON to pandas dataframe – ValueError: Mixing dicts with non-Series may lead to ambiguous ordering Error Occurs?

Today I get the following error Read JSON to pandas dataframe – ValueError: Mixing dicts with

How To Solve Read JSON to pandas dataframe – ValueError: Mixing dicts with non-Series may lead to ambiguous ordering Error ?

  1. How To Solve Read JSON to pandas dataframe – ValueError: Mixing dicts with non-Series may lead to ambiguous ordering Error ?

    To Solve Read JSON to pandas dataframe – ValueError: Mixing dicts with non-Series may lead to ambiguous ordering Error If you just need the result part in a dataframe, then here is the code to help you.

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

    To Solve Read JSON to pandas dataframe – ValueError: Mixing dicts with non-Series may lead to ambiguous ordering Error If you just need the result part in a dataframe, then here is the code to help you.

Solution 1

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"])

Solution 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

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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