First off, I will freely concede to being little more than a clumsy liberal arts guy who is completely self taught in this scripting thing. That said, I am attempting to get values from a the USGS Water Data Service using the code below:
def main(gaugeId):
# import modules
import urllib2, json
# create string
url = "http://waterservices.usgs.gov/nwis/iv/?format=json&sites=" + gaugeId + "¶meterCd=00060,00065"
# open connection to url
urlFile = urllib2.urlopen(url)
# load into local JSON list
jsonList = json.load(urlFile)
# extract and return
# how to get cfs, ft, and zulu time?
return [cfs, ft, time]
Although I have found some tutorials regarding how to extract the desired values from a JSON response, most are fairly simple. The difficulty I am having is extracting from what looks like a very complicated response this service is returning. Looking through the response, I can see what I want is the value from two different sections and a time value. Hence, I can look at the response and see what I need, I just cannot, for the life of me, figure out how to get these values extracted.
Answers:
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Method 1
using json.loads will turn your data into a python dictionary.
Dictionaries values are accessed using ['key']
resp_str = {
"name" : "ns1:timeSeriesResponseType",
"declaredType" : "org.cuahsi.waterml.TimeSeriesResponseType",
"scope" : "javax.xml.bind.JAXBElement$GlobalScope",
"value" : {
"queryInfo" : {
"creationTime" : 1349724919000,
"queryURL" : "http://waterservices.usgs.gov/nwis/iv/",
"criteria" : {
"locationParam" : "[ALL:103232434]",
"variableParam" : "[00060, 00065]"
},
"note" : [ {
"value" : "[ALL:103232434]",
"title" : "filter:sites"
}, {
"value" : "[mode=LATEST, modifiedSince=null]",
"title" : "filter:timeRange"
}, {
"value" : "sdas01",
"title" : "server"
} ]
}
},
"nil" : false,
"globalScope" : true,
"typeSubstituted" : false
}
would translate into a python diction
resp_dict = json.loads(resp_str) resp_dict['name'] # "ns1:timeSeriesResponseType" resp_dict['value']['queryInfo']['creationTime'] # 1349724919000
Method 2
Only suggestion is to access your resp_dict via .get() for a more graceful approach that will degrade well if the data isn’t as expected.
resp_dict = json.loads(resp_str)
resp_dict.get('name') # will return None if 'name' doesn't exist
You could also add some logic to test for the key if you want as well.
if 'name' in resp_dict:
resp_dict['name']
else:
# do something else here.
Method 3
Extract single value from JSON response Python
Try this
import json
import sys
#load the data into an element
data={"test1" : "1", "test2" : "2", "test3" : "3"}
#dumps the json object into an element
json_str = json.dumps(data)
#load the json to a string
resp = json.loads(json_str)
#print the resp
print (resp)
#extract an element in the response
print (resp['test1'])
Method 4
Try this.
Here, I fetch only statecode from COVID API – JSON Array.
import requests
r = requests.get('https://api.covid19india.org/data.json')
x=r.json()['statewise']
for i in x:
print(i['statecode'])
Method 5
Try this:
from functools import reduce
import re
def deep_get_imps(data, key: str):
split_keys = re.split("[\[\]]", key)
out_data = data
for split_key in split_keys:
if split_key == "":
return out_data
elif isinstance(out_data, dict):
out_data = out_data.get(split_key)
elif isinstance(out_data, list):
try:
sub = int(split_key)
except ValueError:
return None
else:
length = len(out_data)
out_data = out_data[sub] if -length <= sub < length else None
else:
return None
return out_data
def deep_get(dictionary, keys):
return reduce(deep_get_imps, keys.split("."), dictionary)
Then you can use it like below:
res = {
"status": 200,
"info": {
"name": "Test",
"date": "2021-06-12"
},
"result": [{
"name": "test1",
"value": 2.5
}, {
"name": "test2",
"value": 1.9
},{
"name": "test1",
"value": 3.1
}]
}
>>> deep_get(res, "info")
{'name': 'Test', 'date': '2021-06-12'}
>>> deep_get(res, "info.date")
'2021-06-12'
>>> deep_get(res, "result")
[{'name': 'test1', 'value': 2.5}, {'name': 'test2', 'value': 1.9}, {'name': 'test1', 'value': 3.1}]
>>> deep_get(res, "result[2]")
{'name': 'test1', 'value': 3.1}
>>> deep_get(res, "result[-1]")
{'name': 'test1', 'value': 3.1}
>>> deep_get(res, "result[2].name")
'test1'
All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0