I have problems un-nesting a json file and converting it to a pandas dataframe, which can be seen below:
{
"metadata": {
"rowHierarchy": [
"Nasjonalt",
"Fylke",
"Kommune",
"Enhet"
],
"columns": [
[
{
"name": "2021-22",
"tekstId_kolonne": "160015",
"columnCount": 2
}
],
[
{
"name": "Gutt",
"tekstId_kolonne": "160018",
"columnCount": 1
},
{
"name": "Jente",
"tekstId_kolonne": "160018",
"columnCount": 1
}
],
[
{
"name": "Alle eierformer",
"tekstId_kolonne": "160019",
"columnCount": 1
},
{
"name": "Alle eierformer",
"tekstId_kolonne": "160019",
"columnCount": 1
}
],
[
{
"name": "Antall lærere",
"tekstId_kolonne": "160014",
"columnCount": 1
},
{
"name": "Antall lærere",
"tekstId_kolonne": "160014",
"columnCount": 1
}
]
]
},
"rows": [
{
"navn": "Hele landet",
"id": "1",
"data": [
"17 797",
"52 271"
],
"childCount": 5
},
{
"navn": "Agder",
"id": "1.49",
"data": [
"1 123",
"3 131"
],
"childCount": 4
},
{
"navn": "Arendal",
"id": "1.49.1423",
"data": [
"144",
"426"
],
"childCount": 3
},
{
"navn": "Asdal skole",
"id": "1.49.1423.28041",
"data": [
"10",
"40"
],
"childCount": 0
},
{
"navn": "Birkenlund skole",
"id": "1.49.1423.28170",
"data": [
"11",
"33"
],
"childCount": 0
},
{
"navn": "Eydehavn skole",
"id": "1.49.1423.28474",
"data": [
"3",
"9"
],
"childCount": 0
}
]
}
My goal is to re-create the csv output that one can get from the API:
And this is how the table from the GUI looks like:
I don't see how I can link or know what the keys are for "metadata" in the json to "rows".
If it is easier to recreate the problem with the url, https://statistikkportalen.udir.no/api/rapportering/rest/v1/Statistikk/GSK/GSI/3/1/data?radSti=F&filtre=EnhetID(-720_-538_-12_28041_28170_28474)_KjoennID(1_2)_KommunalitetID(-10)_SpoersmaalID(6_8_9_10)_TidID(202110)&dataChanged=2022-01-31_134759

