Merge similar columns or not to create the multiple columns with similar column names while flattening JSON

When flatten JSON, i am getting columns with values as:

{'0_extension_0_url': 'http://hl7.org/fhir/StructureDefinition/geolocation', '0_extension_0_extension_0_url': 'latitude', '0_extension_0_extension_0_valueDecimal': 42.06768934464684, '0_extension_0_extension_1_url': 'longitude', '0_extension_0_extension_1_valueDecimal': -71.17560251863814, '0_line_0': 'ratna', '0_city': 'Sharon', '0_state': 'MA', '0_postalCode': '02067', '0_country': 'US'}

desired output in CSV format:

extension_url, extension_extension_url, extension_extension_valueDecimal_latitude, extension_extension_valueDecimal_longitude, line, city, state, postalCode, countryhttp://hl7.org/fhir/StructureDefinition/geolocation,42.06768934464684, -71.17560251863814, ratna, Sharon, MA, 02067, US

Below JSON data is a part of JSON data:

"address": [ {"extension": [ {"url": "http://hl7.org/fhir/StructureDefinition/geolocation","extension": [ {"url": "latitude","valueDecimal": 42.06768934464684          }, {"url": "longitude","valueDecimal": -71.17560251863814          } ]        } ],"line": [ "350 Frami Trafficway" ],"city": "Sharon","state": "MA","postalCode": "02067","country": "US"      } ],

python code:

def flatten_json(y):    out = {}    def flatten(x, name=''):        if type(x) is dict:            for a in x:                flatten(x[a], name + a +'_')        elif type(x) is list:            i = 0            for a in x:                flatten(a, name + str(i) +'_')                i += 1        else:            out[name[:-1]] = x    flatten(y)    return out

I am expecting to create only single field name, without JSON location keys and group the values (if more than one) under the given field name, to create tabular form of data.