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توضیحات

Python client to access weather data from Deutscher Wetterdienst (DWD), the federal meteorological service in Germany.

ویژگی	مقدار
سیستم عامل	-
نام فایل	dwdweather2-0.9.0
نام	dwdweather2
نسخه کتابخانه	0.9.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Marian Steinbach
ایمیل نویسنده	marian@sendung.de
آدرس صفحه اصلی	https://github.com/panodata/dwdweather2
آدرس اینترنتی	https://pypi.org/project/dwdweather2/
مجوز	MIT

.. image:: https://img.shields.io/badge/Python-2.7-green.svg :target: https://github.com/panodata/dwdweather2 .. image:: https://img.shields.io/pypi/v/dwdweather2.svg :target: https://pypi.org/project/dwdweather2/ .. image:: https://img.shields.io/github/tag/panodata/dwdweather2.svg :target: https://github.com/panodata/dwdweather2 .. image:: https://assets.okfn.org/images/ok_buttons/od_80x15_red_green.png :target: https://okfn.org/opendata/ .. image:: https://assets.okfn.org/images/ok_buttons/oc_80x15_blue.png :target: https://okfn.org/opendata/ .. image:: https://assets.okfn.org/images/ok_buttons/os_80x15_orange_grey.png :target: https://okfn.org/opendata/ .. image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://github.com/python/black .. _dwdweather2-readme: ########### dwdweather2 ########### Python client to access weather data from Deutscher Wetterdienst (`DWD <https://www.dwd.de/>`__), the federal meteorological service in Germany. .. note:: Please note this library will gradually be phased out. You should consider using its successor library "`Wetterdienst <https://github.com/earthobservations/wetterdienst>`_". ************ Installation ************ :: pip install dwdweather2 ******** Synopsis ******** Command line usage ================== Get all stations with ``daily`` resolution:: dwdweather stations --resolution=daily Get all stations with ``hourly`` resolution (default):: dwdweather stations --resolution=hourly 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 ``daily`` resolution:: dwdweather weather 44 2020-06-01 --resolution=daily Choose dataset with ``hourly`` resolution:: dwdweather weather 44 2020-06-01T08 --resolution=hourly Choose dataset with ``10_minutes`` resolution:: dwdweather weather 2667 2019-06-01T15:20 --resolution=10_minutes Usage as library ================ .. code:: python from datetime import datetime from dwdweather import DwdWeather # Create client object. dwd = DwdWeather(resolution="hourly") # Find closest station to position. closest = dwd.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 = dwd.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 `LICENSE <https://github.com/panodata/dwdweather2/blob/master/LICENSE>`__ for details. Data license ============ The DWD has information about their terms of use policy in `German <https://www.dwd.de/DE/service/copyright/copyright_node.html>`__ and `English <https://www.dwd.de/EN/service/copyright/copyright_node.html>`__. ******************* Project information ******************* Credits ======= Thanks to `Marian Steinbach <https://github.com/marians>`__, all other contributors and the `DWD <https://www.dwd.de/>`__. Changelog ========= See file `CHANGES.rst <https://github.com/panodata/dwdweather2/blob/master/CHANGES.rst>`__. ************** Other projects ************** - https://github.com/earthobservations/wetterdienst - https://github.com/na-boa/brightsky - https://github.com/stephan192/dwdwfsapi - https://github.com/jlewis91/dwdbulk - https://github.com/domschl/python-dwd-forecast - https://github.com/FL550/simple_dwd_weatherforecast - https://github.com/astoeckel/pydwdapi - https://github.com/ckaus/pydwd - https://github.com/hiveeyes/phenodata - https://github.com/hiveeyes/apicast - https://github.com/brry/rdwd - https://github.com/scoute-dich/Weather - https://github.com/buwx/meteogram - https://github.com/clerie/wetter - https://github.com/dj0001/DWD-Warnmodul-2 - https://github.com/FWidm/dwd-hourly-crawler - https://github.com/ekeih/dwdpollen - https://github.com/marcschumacher/dwd_pollen - https://github.com/schmupu/ioBroker.pollenflug - https://github.com/LukeSkywalker92/MMM-DWD-WarnWeather - https://github.com/devduisburg/MMM-pollen - https://github.com/Pix---/vis_widget_dwd_pollenflug - https://github.com/codeformuenster/mosmix-api - https://github.com/codeformuenster/mosmix-processor - https://github.com/DouglasFletcher/germanwetter - https://github.com/wradlib - https://github.com/jkreklow/radproc - https://github.com/beltoforion/Synthetischer-Wetterbericht - https://beltoforion.de/de/wetterbericht/

زبان مورد نیاز

مقدار	نام
>=3.3	Python

نحوه نصب

نصب پکیج whl dwdweather2-0.9.0:

pip install dwdweather2-0.9.0.whl

نصب پکیج tar.gz dwdweather2-0.9.0:

pip install dwdweather2-0.9.0.tar.gz