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    "info": {
        "author": "Anders G. Eriksen",
        "author_email": "anders.eriksen@bt.no",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "# frost-client\n\n[![Build Status](https://travis-ci.org/BergensTidende/frost-client.svg?branch=master)](https://travis-ci.org/BergensTidende/frost-client)\n\n[![Documentation Status](https://readthedocs.org/projects/frost-client/badge/?version=latest)](https://frost-client.readthedocs.io/en/latest/?badge=latest)\n\nThis Python client wraps the [Frost API](https://frost.met.no/concepts#getting_started). You should \nread up on those docs before using this client. And be sure to check out met.no's \n[Terms of Use](https://frost.met.no/termsofuse)\n\nThe main purpose of this client is returns Pandas Dataframes from Frost API data.\n\nThis is an unofficial client. We have no relationship to met.no\n\nDocumentation: https://frost-client.readthedocs.io/en/latest/\n\n## Install\n\nRequires Python 3.7\n\n`pip install frost-client`\n\nor\n\n`pipenv install frost-client`\n\nThis will install the frost-client and Pandas.\n\n## Usage\n\nThe Frost API key should be exposed as a environment variable:\n\n`FROST_API_KEY=xxxxxx` \n\nor passed as a username parameter when creating and instance of the class.\n\n### Get weather data sources\n\nGet all available observation sources (stations) for Hordaland county (12)\n\n```\nfrom frost.client import APIError, Frost\nf = Frost()\nres = f.get_sources(county='12')\n\n# return as Pandas Dataframe\ndf = res.to_df()\n\n# return IDs of sources as list\nids = res.to_ids_list()\n```\n\n### Get available time series\n\nDisplay available time series for a station (here Bergen - Florida)\n\n```\nfrom frost.client import APIError, Frost\nf = Frost()\nres = f.get_available_timeseries(sources=['SN50540'])\n\n# return as Pandas Dataframe\ndf = res.to_df()\n\n```\n\n### Get observations\n\nDisplay observations for a station (here Bergen - Florida)\n\n```\nfrom frost.client import APIError, Frost\nf = Frost()\nres = f.get_observations(\n            sources=['SN50540'],\n            elements=['sum(precipitation_amount P1D)'],\n            timeoffsets=['PT6H'],\n            referencetime='2018-01-01/2018-02-01')\ndf = res.to_df()\n\n```\n\nSee tests for more examples.\n\n## Local development\n\nYou should use pipenv\n\n### Tests\n\nEnable the pipenv with\n\n`pipenv shell`\n\nMake sure to export env variable \n\n`FROST_API_KEY=xxxxxx`\n\nTo run all tests: \n\n`nosetests`\n\nTo run specific tests:\n\n`nosetests tests.test_requests:TestFrostRequests.test_get_sources`\n\n\n",
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