Python group JSON Response by ID

I call a restAPI via Python and get a JSON Object in Response which looks like this:

[
   {
      "userid":1,
      "check_in":"2022-01-10T07:00:00.000Z",
      "calculated":false
   },
   {
      "userid":1,
      "check_in":"2022-01-10T11:00:00.000Z",
      "calculated":false
   },
   {
      "userid":1,
      "check_in":"2022-01-10T12:00:00.000Z",
      "calculated":false
   },
   {
      "userid":1,
      "check_in":"2022-01-10T16:00:00.000Z",
      "calculated":false
   },
   {
      "userid":2,
      "check_in":"2022-01-10T07:00:00.000Z",
      "calculated":false
   },
   {
      "userid":2,
      "check_in":"2022-01-10T11:15:00.000Z",
      "calculated":false
   },
   {
      "userid":2,
      "check_in":"2022-01-10T12:00:00.000Z",
      "calculated":false
   },
   {
      "userid":2,
      "check_in":"2022-01-10T16:30:00.000Z",
      "calculated":false
   }
]

I am struggling with the problem to group those Values means I want to achieve something like this:

[
   {
      "userid":1,
      "check_in":[
         "2022-01-10T07:00:00.000Z",
         "2022-01-10T11:00:00.000Z",
         "2022-01-10T12:00:00.000Z",
         "2022-01-10T16:00:00.000Z"
      ],
      "calculated":false
   },
   {
      "userid":2,
      "check_in":[
         "2022-01-10T11:00:00.000Z",
         "...",
         "...."
      ],
      "calculated":false
   }
]

Would be great if someone could point me out how to achieve this in python since I usually don´t develop python.

Thanks in advance!

>Solution :

I used groupby from itertools module to solve this. Groupby the (userid, calculated) pair and the extract the data from the groupings.

import json
from itertools import groupby
data = [
   {
      "userid":1,
      "check_in":"2022-01-10T07:00:00.000Z",
      "calculated":False
   },
   {
      "userid":1,
      "check_in":"2022-01-10T11:00:00.000Z",
      "calculated":False
   },
   {
      "userid":1,
      "check_in":"2022-01-10T12:00:00.000Z",
      "calculated":False
   },
   {
      "userid":1,
      "check_in":"2022-01-10T16:00:00.000Z",
      "calculated":False
   },
   {
      "userid":2,
      "check_in":"2022-01-10T07:00:00.000Z",
      "calculated":False
   },
   {
      "userid":2,
      "check_in":"2022-01-10T11:15:00.000Z",
      "calculated":False
   },
   {
      "userid":2,
      "check_in":"2022-01-10T12:00:00.000Z",
      "calculated":False
   },
   {
      "userid":2,
      "check_in":"2022-01-10T16:30:00.000Z",
      "calculated":False
   }
]

result = []
for group, checkings in groupby(data, lambda x: (x["userid"], x["calculated"])):
        user = {
                "userid": group[0],
                "calculated": group[1],
                "check_in": []
        }
        for check_in in checkings:
                user["check_in"].append(check_in["check_in"])
        result.append(user)

print(json.dumps(result, indent=2))