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Wrapper for access weather observations and forecasts from the Danish Metrology Institute (DMI) API

Project description


pip install dmiapi

Data available

  • observations
  • forecasts


The wrapper supports both synchronous and asynchronous methods.

Synchronous example

import pandas as pd
import dmiapi

client = dmiapi.DmiApiClient()

obs_response = client.observations(station_id = 2619856)
obs = pd.DataFrame(obs_response['observations'])
print('Mean temperature (2 meters above ground):', obs['temperature2m'].mean())

Asynchronous example

import pandas as pd
import dmiapi

async def max_forecast_temp():
    client = dmiapi.DmiApiClient()
    forecasts_response = await client.async_forecasts(location_id = 2619856)
    forecasts = pd.DataFrame(forecasts_response['forecasts'])
    print('Forcasted max. temperature:', forecasts['temp'].max())

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