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
  • BeautifulSoup4
  • 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 if {}".format(station.local))
        print(await station.forecast())
        print(await station.observation())

if __name__ == "__main__":
    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-1.1.1.tar.gz (3.4 kB view details)

Uploaded Source

File details

Details for the file pyipma-1.1.1.tar.gz.

File metadata

  • Download URL: pyipma-1.1.1.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyipma-1.1.1.tar.gz
Algorithm Hash digest
SHA256 7d2d8f99d0be2949d8c488f6e6884fcf92878d0cc73d787572b0dbf715faf36b
MD5 1cda836e783cfea57ef5a77390309800
BLAKE2b-256 f9335f90f134126809efe6910caca0192077350e0b80740ac1772ebdc32187b7

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