Python client to access weather data from Deutscher Wetterdienst (DWD), the federal meteorological service in Germany.
Project description
dwdweather2
Python client to access weather data from Deutscher Wetterdienst (DWD), the federal meteorological service in Germany.
Installation
pip install dwdweather2
Synopsis
Command line usage
Get all stations with hourly resolution (default):
dwdweather stations
Get all stations with 10_minutes resolution:
dwdweather stations --resolution 10_minutes
Get closest station (first argument is longitude, second is latitude):
dwdweather station 7.0 51.0
Export stations as CSV:
dwdweather stations --type csv --file stations.csv
Export stations as GeoJSON:
dwdweather stations --type geojson --file stations.geojson
Get weather at station for certain hour (UTC):
dwdweather weather 2667 2019-06-01T15:00
To restrict the import to specified categories, run the program like:
dwdweather weather 2667 2019-06-01T15:00 --categories air_temperature precipitation pressure
Finally, to drop the cache database before performing any work, use the --reset-cache option:
dwdweather stations --reset-cache
Choose dataset with 10_minutes resolution:
dwdweather weather 2667 2019-06-01T15:20 --resolution=10_minutes
Usage as library
from datetime import datetime
from dwdweather import DwdWeather
# Create client object.
dw = DwdWeather(resolution="hourly")
# Find closest station to position.
closest = dw.nearest_station(lon=7.0, lat=51.0)
# The hour you're interested in.
# The example is 2014-03-22 12:00 (UTC).
query_hour = datetime(2014, 3, 22, 12)
result = dw.query(station_id=closest["station_id"], timestamp=query_hour)
print(result)DwdWeather.query() returns a dictionary with the full set of possible keys as outlined in doc/usage-library.rst.
Notes
Data is cached in a local sqlite3 database to improve query performance for consecutive invocations.
The “stations cache” is filled upon first request to DwdWeather.stations() or DwdWeather.nearest_station()
The “stations cache” will not be refreshed automatically. Use DwdWeather.import_stations() to do this.
The “measures cache” is filled upon first access to measures using DwdWeather.query() and updated whenever a query cannot be fulfilled from the cache.
The cache by default resides in the ~/.dwd-weather directory. This can be controlled using the cachepath argument of DwdWeather().
The amount of data can be ~60 MB per station for full historic extent and will obviously increase by time.
If weather data is queried and the query can’t be fulfilled from the cache, data is loaded from the server - even if the data has been updated a second before. If the server doesn’t have data for the requested time (e.g. since it’s not yet available), this unnecessarily causes network traffic and wait time. Certainly space for improvement here.
Licenses
Code license
Licensed under the MIT license. See file LICENSE for details.
Data license
The DWD has information about their re-use policy in German and English.
Status
This piece of software is in a very early stage. No test cases yet. Only tested with Python 3.6. Use at your own risk.
Credits
Thanks to Marian Steinbach, Philipp Klaus and all people from DWD.
Changelog
See file CHANGES.rst.
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