python 3.x - Flatten a unserialized nested json data having multilevel dictionary nesting at large -

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i have data structure 1 mentioned below nested in terms of dictionaries :  { 'list':{ '5':{ 'set_profile_type':'static', 'status_name_now':'off', 'name':'btテザリング', 'status_code_now':'off', 'status_name_init':'off', 'status_list':{ '0':{}, '1':{} }, 'guide':'some utf text', 'choice_type':'select', 'get_profile':'bttethering_getonoff', 'status_key_name':'onoff' }, '4':{ 'set_profile_type':'static', 'status_name_now':'off', 'name':'wifiテザリング', 'status_code_now':'off', 'status_name_init':'off', 'status_list':{ '0':{}, '1':{} }, 'guide':'utf text', 'choice_type':'select', 'get_profile':'portablehotspot_getonoff', 'status_key_name':'onoff' }, '2':{}, '0':{}, '6':{}, '1':{}, '3':{} }, 'name':'somepropert1' }

while trying flatten structure csv, have tried pandas library json.loads, above string formed result of ohpserialization library have used unserialize; there nice , clean way flatten data structure have tried json_normalize doesn't recognize above string json- 

    def deserialize(data):     import phpserialize     import ast     import json     data = "'"+data+"'"     data = ast.literal_eval(format(data)).encode('utf-8')     j1 = phpserialize.unserialize(data)     j1 = phpserialize.loads(phpserialize.dumps(j1), decode_strings=true)     j1 = json.dumps(j1)     return j1     def customparser(data):     import json     j1 = json.loads(data)     j1 = j1     return j1     df = pandas.read_csv(input_file,sep="|",converters=     {'device_udate':deserialize},header=0)     print (df)     df.to_csv(output_file,sep=",",encoding="utf-8")     df1 = pandas.read_csv(output_file,converters=     {'device_udate':customparser},header=0)     df1[sorted(df1['device_udate'][0].keys())] =      df1['device_udate'].apply(pandas.series)     print (df1)





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