WunderWeather 1.1.0

Weather Underground Example

Not using Requests

Example listed in Wunderground documentation

import urllib2
import json
f = urllib2.urlopen('http://api.wunderground.com/api/<YOUR_API_KEY>/geolookup/conditions/q/IA/Cedar_Rapids.json')
json_string = f.read()
parsed_json = json.loads(json_string)
location = parsed_json['location']['city']
temp_f = parsed_json['current_observation']['temp_f']
print "Current temperature in %s is: %s" % (location, temp_f)
f.close()

example

Using Requests

Example listed in Wunderground doc converted to use requests

import requests # learn more: https://python.org/pypi/requests
response = requests.get('http://api.wunderground.com/api/<YOUR_API_KEY>/geolookup/conditions/q/MA/Boston.json').json()
location = response['location']['city']
temp_f = response['current_observation']['temp_f']
print("Current Temperature in %s is: %s" %(location,temp_f))

Using WunderWeather

Example listed in Wunderground doc converted to use WunderWeather

from wunder import weather
extractor = weather.Extract(api_key)
[location,current] = extractor.features("MA/Boston",(('geolookup',''),('now','')))
print("Current Temperature in %s is: %s" %(location.data.city,current.temp_f))

In the example above, notice how data points can be extracted from a feature using dotted notation whether there is a feature specific wrapper class or not to provide a uniform look in the calling application. When referencing shortcuts from wrapper classes or directly accessing the data, the look is the same. As of writing this documentation Geolookup does not have a wrapper so all data extracted from that feature must use the WeatherBase.data member to use the dotted notation.

Additional Examples

From pprint import pprint
import arrow
From WunderWeather import weather

# setup
api_key = "your api key"
location = 'MA/Boston'
extractor = weather.Extract(api_key)

# alerts
response = extractor.alerts(location)
pprint(response.data)

# astronomy
response = extractor.astronomy(location)
pprint(response.data)

# geolookup
response = extractor.geolookup(location)
pprint(response.data)

# history
date = arrow.get("20170601","YYYYMMDD")
response = extractor.date(location,date.format('YYYYMMDD'))
pprint(response.data)

# addl date detail
for observation in response.observations:
print("Date:",observation.date_pretty)
print("Temp:",observation.temp_f)