Skip to main content

Python library to retrieve information from Instituto Português do Mar e Atmosfera.

Project description

PyPI version

pyipma

Python library to retrieve information from Instituto Português do Mar e Atmosfera

Requirements

  • aiohttp
  • geopy

Example

import asyncio
import aiohttp

from pyipma import Station 

async def main():
    async with aiohttp.ClientSession() as session:
        station = await Station.get(session, 40.61,-8.64)
        print("Nearest station is {}".format(station.local))
        print("Current Weather:")
        print(await station.observation())
        print("Next days:")
        for forecast in await station.forecast():
            print(forecast)

asyncio.get_event_loop().run_until_complete(main())

Credits

Values are obtained from IPMA

Copyright

(C) 2018 Diogo Gomes diogogomes@gmail.com

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyipma-1.1.3.tar.gz (3.9 kB view details)

Uploaded Source

File details

Details for the file pyipma-1.1.3.tar.gz.

File metadata

  • Download URL: pyipma-1.1.3.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyipma-1.1.3.tar.gz
Algorithm Hash digest
SHA256 36304faaacd825042016dff6745226d29819ad97b2238479bec0c43721011685
MD5 ce01291c5503f4af08a16329bb7ae004
BLAKE2b-256 0d4865dc0483a604c5a29c615b229125b2e214c9db90ee11802b466f095d4cf8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page