CODEWITHSUNDEEP
pythonjsonlistdictionary
ilra
ilra

Reputation: 145

List of values in json file

I have a JSON file that looks like this (shortened):

data = {
    "station": [
        {
            "key": "105285",
            "name": "Borlänge Sol",
            "owner": "SMHI",
            "ownerCategory": "CLIMATE",
            "measuringStations": "CORE",
            "from": 536457600000,
            "to": 1664719200000,
            "height": 168.0,
            "latitude": 60.4878,
            "longitude": 15.4297,
            "value": [{"date": 1664719200000, "value": "0", "quality": "Y"}],
        },
        {
            "key": "71415",
            "name": "Göteborg Sol",
            "owner": "SMHI",
            "ownerCategory": "CLIMATE",
            "measuringStations": "CORE",
            "from": 1286409600000,
            "to": 1664719200000,
            "height": 84.824,
            "latitude": 57.6879,
            "longitude": 11.9796,
            "value": [{"date": 1664719200000, "value": "1429", "quality": "Y"}],
        },
        {
            "key": "68545",
            "name": "Hoburg Sol",
            "owner": "SMHI",
            "ownerCategory": "CLIMATE",
            "measuringStations": "CORE",
            "from": 1352991600000,
            "to": 1664719200000,
            "height": 36.0,
            "latitude": 56.921,
            "longitude": 18.1506,
            "value": [{"date": 1664719200000, "value": "0", "quality": "Y"}],
        },
        {
            "key": "65075",
            "name": "Karlskrona Sol",
            "owner": "SMHI",
            "ownerCategory": "CLIMATE",
            "measuringStations": "CORE",
            "from": 1246406400000,
            "to": 1664719200000,
            "height": 10.0,
            "latitude": 56.1091,
            "longitude": 15.587,
            "value": [{"date": 1664719200000, "value": "3586", "quality": "Y"}],
        },
        {
            "key": "178985",
            "name": "Tarfala Sol",
            "owner": "SMHI",
            "ownerCategory": "CLIMATE",
            "measuringStations": "CORE",
            "from": 1167609600000,
            "to": 1664719200000,
            "height": 1144.0,
            "latitude": 67.9123,
            "longitude": 18.6101,
            "value": None,
        },
    ]
}

I want to make a list of the values which are inside 'value', i.e [0, 1429, 0, 3586], I tried this but it's returning an error:

value_dict = [data['station'][i]['value']['value'] for i in range(len(data['station'])) if data['station'][i]['value'][0]['value'] is not None]

How can I access those values? Also is this the right way to ignore NoneType values (such as the last one)?

Upvotes: 1

Views: 168

Answers (3)

Rahul K P
Rahul K P

Reputation: 16081

You can get values like this:

In [1]: [item.get('value')[0].get('value') for item in data['station']]
Out[1]: ['0', '1429', '0', '3586']

You can use filter to ignore the None values.

list(filter(None, [item.get('value')[0].get('value') for item in data['station']]))

Upvotes: 1

S.B
S.B

Reputation: 16564

Get the "station" key first and iterate through the list of dictionaries. Get the "value" key and check if it's not None. Then it should be a list of single dictionary. Get it's item and then it's "value" key:

result = []
for d in data["station"]:
    value = d["value"]
    if value is not None:
        result.append(value[0]["value"])
print(result)

Upvotes: 0

Abhi747
Abhi747

Reputation: 303

if value contains only one element

value_dict = [data['station'][i]['value'][0]['value'] for i in range(len(data['station']))]

or if contains more than 1

value_dict = [[data['station'][i]['value'][j]['value'] for j in range(len(data['station'][i]['value']))] for i in range(len(data['station']))]

Upvotes: 1

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