A Python wrapper around the OpenWeatherMap API
PyOWM is a client Python wrapper library for OpenWeatherMap (OWM) web APIs.
It allows quick and easy consumption of OWM data from Python applications via a simple object model and in a human-friendly fashion.
PyOWM runs on Python 2.7 and Python 3.4+ (but watch out! Python 2.x will eventually be dropped - check details out)
PyOWM also integrates with Django 1.10+ models.
Install with pip
for your ease:
$ pip install pyowm
There is a lot of alternatives: setuptools, Windows installers and common package managers such as Yaourt
Eager to fetch the very latest updates to PyOWM? Install the development trunk:
$ pip install git+https://github.com/csparpa/pyowm.git@develop
As OpenWeatherMap APIs need a valid API key to allow responses, PyOWM won't work if you don't provide one. This stands for both free and paid (pro) subscription plans.
You can signup for a free API key on the OWM website
Please notice that the free API subscription plan is subject to requests throttling.
That's a simple example of what you can do with PyOWM and a free OWM API Key:
import pyowm
owm = pyowm.OWM('your-API-key') # You MUST provide a valid API key
# Have a pro subscription? Then use:
# owm = pyowm.OWM(API_key='your-API-key', subscription_type='pro')
# Search for current weather in London (Great Britain)
observation = owm.weather_at_place('London,GB')
w = observation.get_weather()
print(w) # <Weather - reference time=2013-12-18 09:20,
# status=Clouds>
# Weather details
w.get_wind() # {'speed': 4.6, 'deg': 330}
w.get_humidity() # 87
w.get_temperature('celsius') # {'temp_max': 10.5, 'temp': 9.7, 'temp_min': 9.0}
# Search current weather observations in the surroundings of
# lat=22.57W, lon=43.12S (Rio de Janeiro, BR)
observation_list = owm.weather_around_coords(-22.57, -43.12)
And this is a usage example with a paid OWM API key:
import pyowm
paid_owm = pyowm.OWM(API_key='your-pro-API-key', subscription_type='pro')
# Will it be clear tomorrow at this time in Milan (Italy) ?
forecast = paid_owm.daily_forecast("Milan,IT")
tomorrow = pyowm.timeutils.tomorrow()
forecast.will_be_clear_at(tomorrow) # The sun always shines on Italy, right? ;-)
More PyOWM usage examples are available here.
The latest library software API documentation is available on Read the Docs.
Each release has its own changelog.
Contributors (coding, testing, packaging, reporting issues) are welcome!.
See the the official documentation website for details or the CONTRIBUTING.md file for a quick primer.
Join the PyOWM public Slack team by signing up here
Here are some cool projects that use PyOWM