Access multiple dictionaries inside a list of a json file - json

Question

I am trying to create a dataframe from a json code. But I cannot access multiple objects inside a list. Only the first value is being retrieved.
This is my json code:
[{'id': '1', 'fnamae': 'Rasab', 'lname': 'Asdaf', 'Age': 21, 'Language': ['python', 'json'], 'parents': {'mother': {'name': 'Mrs. Mother', 'phone': '1212121212'}, 'father': {'name': 'Mr. Father', 'phone': '1212121212'}}, 'siblings': [{'name': 'jamuna', 'phone': 564851312}, {'name': 'Killana', 'phone': 1212121212}]}, {'id': '2', 'fnamae': 'Muddassir', 'lname': 'Jameel', 'Age': 25, 'Language': ['React', 'json'], 'parents': {'mother': {'name': 'Mrs. Mutherinlaw', 'phone': 9654512}, 'father': {'name': 'Mr. Futherinlaw', 'phone': 53154278}}, 'siblings': [{'name': 'Giallan', 'phone': 998742568}, {'name': 'Simba', 'phone': 12355875}]}, {'id': '3', 'fnamae': 'Farhan', 'lname': 'Akhtar', 'Age': 25, 'Language': ['Drupal', 'PHP'], 'parents': {'mother': {'name': 'Heung min son', 'phone': 89546487}, 'father': {'name': 'Kane', 'phone': 4564823545}}, 'siblings': [{'name': 'Xamcs', 'phone': 78654325}, {'name': 'sinfbad', 'phone': 45648232}]}]
And this is my code to access "siblings" list from the json files to create a dataframe.
s = l['siblings']
df2 = pd.DataFrame(s.str[0].values.tolist())
df2
But the output is:
name phone
0 jamuna 564851312
1 Giallan 998742568
2 Xamcs 78654325
My expected output would be to include the multiple names and phone numbers of the siblings.
name phone
0 [jamuna,Killana] 564851312,468451
1 [Giallan,Simba] 998742568,654684
2 [Xamcs, sinfbad] 786543254,654654
When I change my code to s.str[1] I am able to retrieve the second set of list. But how do I iterate over them

Answer 1

You're going to have to do a nested list comprehension:
import pandas as pd
pd.DataFrame(
{
key: [[j[key] for j in i["siblings"]] for i in json_content]
for key in ["name", "phone"]
}
)
This will give you
| | name | phone |
|---:|:----------------------|:------------------------|
| 0 | ['jamuna', 'Killana'] | [564851312, 1212121212] |
| 1 | ['Giallan', 'Simba'] | [998742568, 12355875] |
| 2 | ['Xamcs', 'sinfbad'] | [78654325, 45648232] |

Answer 2

Use a list comprehension to derive the output
pd.DataFrame([d for l in json_content for d in l['siblings']])