Installation
pip install dmiapi
Data available
- observations
- forecasts
Usage
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())
1 maintainer
Metadata
1 maintainer
Release files for dmiapi 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| dmiapi-0.1.2.tar.gz | 3.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dmiapi-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.5 kB
Release files / dmiapi-0.1.2.tar.gz
| Download URL | dmiapi-0.1.2.tar.gz |
|---|---|
| Size | 3.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / dmiapi-0.1.2-py3-none-any.whl
| Download URL | dmiapi-0.1.2-py3-none-any.whl |
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| Size | 4.4 kB |
| Tags | Python 3 |
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Security for dmiapi 0.1.2
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