I'm using python(requests) to query an API. The JSON response is list of dictionaries, like below:
locationDescriptions = timeseries.publish.get('/GetLocationDescriptionList')['LocationDescriptions']
print(locationDescriptions[0])
{'Name': 'Test',
'Identifier': '000045',
'UniqueId': '3434jdfsiu3hk34uh8',
'IsExternalLocation': False,
'PrimaryFolder': 'All Locations',
'SecondaryFolders': [],
'LastModified': '2021-02-09T06:01:25.0446910+00:00',}
I'd like to extract 1 field (Identifier) as a list for further analysis (count, min, max, etc.) but I'm having a hard time figuring out how to do this.
3 Answers 3
Python has a syntax feature called "list comprehensions", and you can do something like:
identifiers = [item['Identifier'] for item in locationDescriptions]
Here is a small article that gives you more details, and also shows an alternate way using map
. And here is one of the many resources detailing list comprehensions, should you need it.
You could extract them with a list comprehension:
identifiers = [i['Identifier'] for i in locationDescriptions]
You allude to needing a list of numbers (count, min, max, etc...), in which case:
identifiers = [int(i['Identifier']) for i in locationDescriptions]
You can do
ids = [locationDescription['Identifier'] for locationDescription in locationDescriptions]
You will have a list of identifiers as a string.
Best regards
locationDescriptions[0]['Identifier']
?