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

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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.api import IPMA_API
from pyipma.location import Location

async def main():
    async with aiohttp.ClientSession() as session:
        api = IPMA_API(session)

        location = await Location.get(api,  40.6517, -8.6573, sea_stations=True)
        print("Forecast for {}".format(location.name))
        print("Nearest station is {}".format(location.station))
        print("Nearest sea station is {}".format(location.sea_station_name))

        obs = await location.observation(api)
        print("Current weather is {}".format(obs))

        forecasts = await location.forecast(api)
        print("Forecast for tomorrow {}".format(forecasts[0]))
        
        sea_forecast = await location.sea_forecast(api)
        print("Sea forecast for today {}".format(sea_forecast))

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

Changelog

  • 3.0.9 - Adjust forecast window for 24 hours periods
  • 3.0.8 - Adds Weather Warnings
  • 3.0.7 - Adds UV Index (@tokenize74)
  • 3.0.6 - Bug Fixes
  • 3.0.3 - Adds RCM (Fire Risk)
  • 3.0.2 - Changes to fully support Home Assistant integration
  • 3.0.0 - Backend fully rewritten, but keeping backward compatibility at interface level
  • 2.1.5 - Better logging and code formated with black
  • 2.1.0 - Sea Forecast
  • 2.0.5 - Look for previous observations when no temperature/humidity available
  • 2.0.4 - Ignore Observation stations with temperature/humidity -99
  • 2.0.3 - Searches next closest station when offline
  • 2.0.2 - Adds Station Lat/Lon
  • 2.0.1 - fixes
  • 2.0.0 - Major refactor
  • 1.2.1 - Fix pip
  • 1.2.0 - Wind direction corrected
  • 1.1.6 - Interpret -99 and unavailable
  • 1.1.5 - Cache values
  • 1.1.4 - New API
  • ...

Credits

Values are obtained from IPMA

Contributors

@abmantis @joaocps

Copyright

(C) 2018,2019,2020 Diogo Gomes diogogomes@gmail.com

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

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