How python3 traverses the following json data

data are as follows

{
    "message":"abc","result":{
            "paramtypeitems":[
                {"name":"","paramitems":[
                    {"id":567,"name":"","valueitems":[
                        {"specid":37017,"value":"xDrive40i M"},
                        {"specid":37018,"value":"xDrive40i  M"},
                        {"specid":33307,"value":"xDrive28i"}]
                    }]
                }]
            }
        }

with json and pandas

import json
import pandas as pd
js='''
{
    "message":"abc","result":{
            "paramtypeitems":[
                {"name":"","paramitems":[
                    {"id":567,"name":"","valueitems":[
                        {"specid":37017,"value":"xDrive40i M"},
                        {"specid":37018,"value":"xDrive40i  M"},
                        {"specid":33307,"value":"xDrive28i"}]
                    }]
                }]
            }
        }
'''
dj=json.loads(js)
d=dj['result']['paramtypeitems'][0]['paramitems'][0]['valueitems']
df=pd.DataFrame(d)
print(df)
MySQL Query : SELECT * FROM `codeshelper`.`v9_news` WHERE status=99 AND catid='6' ORDER BY rand() LIMIT 5
MySQL Error : Disk full (/tmp/#sql-temptable-64f5-1e98e6e-1712.MAI); waiting for someone to free some space... (errno: 28 "No space left on device")
MySQL Errno : 1021
Message : Disk full (/tmp/#sql-temptable-64f5-1e98e6e-1712.MAI); waiting for someone to free some space... (errno: 28 "No space left on device")
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