json_list:
[{"category": "bicycle-theft", "location_type": "Force", "location": {"latitude": "52.192042", "street": {"id": 1230421, "name": "On or near Newport Street"}, "longitude": "-2.226028"}, "context": "", "outcome_status": {"category": "Under investigation", "date": "2021-03"}, "persistent_id": "e521c49fa1be0734f967be41f4a77dd730f85f544a7d747f728b20c2fc5e0932", "id": 91082767, "location_subtype": "", "month": "2021-03"}, {"category": "bicycle-theft", "location_type": "Force", "location": {"latitude": "52.195566", "street": {"id": 1231061, "name": "On or near Pierpoint Street"}, "longitude": "-2.221277"}, "context": "", "outcome_status": {"category": "Under investigation", "date": "2021-03"}, "persistent_id": "41a055064448e4e10995573983cf547f426dbcbecfa8d936d78cb9ae4b9453fc", "id": 91085305, "location_subtype": "", "month": "2021-03"}]
code:
import pandas
jn=pandas.DataFrame.from_records(json_list)
print(jn)
output:
category location_type location ... id location_subtype month
0 bicycle-theft Force {'latitude': '52.192042', 'street': {'id': 123... ... 91082767 2021-03
1 bicycle-theft Force {'latitude': '52.195566', 'street': {'id': 123... ... 91085305 2021-03
is there a way to convert the list into a proper dataframe/table?
Instead of {'latitude': '52.192042', 'street': {'id': 123... these outputs shown as separate attributes or anything close to that would be desirable
