Parse JSON response to populate data in the form of table

Question

I have JSON response in a <class 'dict'> . I want to iterate over the JSON response and form a table view. Below is the sample JSON response.

{'ResultSet': {'Rows': [{'Data': [{'VarCharValue': 'cnt'}, {'VarCharValue': 'id'}, {'VarCharValue': 'val'}]}, {'Data': [{'VarCharValue': '2000'}, {'VarCharValue': '1234'}, {'VarCharValue': 'ABC'}]},{'Data': [{'VarCharValue': '3000'}, {'VarCharValue': '5678'}, {'VarCharValue': 'DEF'}]}]}}

Expected Output format:

 cnt    id     val
2000   1234    ABC
3000   5678    DEF

There can only one row of data or there can be multiple rows of data for the column set (For provided sample data two rows are there).

Answer 1

I am not sure if you are using pandas but you can easily parse your response dict into a pandas.DataFrame with the following code

import pandas as pd

pd.DataFrame([[entr['VarCharValue'] for entr in r['Data']] for r in response['ResultSet']['Rows'][1:]],
             columns = [r['VarCharValue'] for r in response['ResultSet']['Rows'][0]['Data']])

Answer 2

I assume you want to use Pandas. Since pd.DataFrame accepts a list of dictionaries directly, you can restructure your input dictionary D as a list of dictionaries:

cols = [next(iter(i.values())) for i in D['ResultSet']['Rows'][0]['Data']]

d = [{col: j['VarCharValue'] for col, j in zip(cols, i['Data'])}
     for i in D['ResultSet']['Rows'][1:]]

df = pd.DataFrame(d)

print(df)

    cnt    id  val
0  2000  1234  ABC
1  3000  5678  DEF

You will probably want to convert at least the cnt series to numeric:

df['cnt'] = pd.to_numeric(df['cnt'])