A Python wrapper around the OpenWeatherMap API
PyOWM is a client Python wrapper library for the OpenWeatherMap (OWM) web API.
It allows quick and easy consumption of OWM weather data from Python applications via a simple object model and in a human-friendly fashion.
No additional libraries are requested: only the Python standard library modules.
PyOWM currently supports version 2.5 of the OWM API (which is the latest one)
PyOWM runs on Python 2.7, 3.2 and 3.3
As the OpenWeatherMap API needs a valid API key to allow responses, PyOWM won't work if you don't provide one. This stands for both the 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.
import pyowm
owm = pyowm.OWM('your-API-key') # You MUST provide a valid API key
# You have a pro subscription? Use:
# owm = pyowm.OWM(API_key='your-API-key', subscription_type='pro')
# Will it be sunny tomorrow at this time in Milan (Italy) ?
forecast = owm.daily_forecast("Milan,it")
tomorrow = pyowm.timeutils.tomorrow()
forecast.will_be_sunny_at(tomorrow) # Always True in Italy, right? ;-)
# Search for current weather in London (UK)
observation = owm.weather_at_place('London,uk')
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)pip install pyowm
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Download the source archive either from GitHub (select a release or just take the main branch) or from the Python Package Index
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Uncompress:
`unzip pywom-x.y.z` -
Launch setuptools:
`cd pywom-x.y.z` `python setup.py install`
The installer is available on the Python Package Index
MIT license
Please read the changelog page of the wiki
Usage examples are available in the wiki page.
The library API documentation is available on Read the Docs.
Unit testing is as simple as python setup.py test -s tests.unit. This shall
be done for each different Python interpreter supported by PyOWM.
A more straighforward way to run tests is using Tox. From the project root folder, just launch:
tox
PyOWM is continuously built with Travis-CI and code coverage is checked with Coveralls.io
Contributors (code enhancement, issue/bug reporting) are welcome!. See the notes on development to get started.
Since version 2.2 PyOWM adopts Semantic Versioning.
If you liked PyOWM, consider giving me a tip!