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        "author": "Jens Finn\u00e4s",
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        "description": "\nThis is a scraper for statistical data from the statistcial databases http://www.socialstyrelsen.se built on top of the `Statscraper package <https://github.com/jplusplus/statscraper>`.\n\nVery much alpha. Only tested on a selected topics.\n\nInstall\n-------\n\n  pip install -r requirements.txt\n\n\nExample usage\n-------------\n\n.. code:: python\n\n  from socialstyrelsen import SocialstyrelsenScraper\n\n  scraper = SocialstyrelsenScraper()\n  scraper.items  # List databasese\n  # [<SocialstyrelsenDataset: abort (Aborter)>, <SocialstyrelsenDataset: amning (Amning)>...]\n\n  dataset = scraper.get(\"ekonomisktbistandmanad\")  # Get a specific (by id)\n\n  # Inpect dataset\n  print dataset.dimensions\n  # [<SocialstyrelsenDimension: MATT>, <SocialstyrelsenDimension: FOR>, <SocialstyrelsenDimension: LANGD>, <SocialstyrelsenDimension: OMR>, <SocialstyrelsenDimension: AGI>, <SocialstyrelsenDimension: AR>]\n\n  print dataset.dimensions[\"OMR\"].allowed_values\n  # [<SocialstyrelsenDimensionValue: 0 (Hela Riket)>, <SocialstyrelsenDimensionValue: 1 (Stockholm)>, ...]\n\n  # Make a query, you have to explicitly define all dimension values you want\n  # to query.\n  res = dataset.fetch({\n      \"TABELL\": \"1\",\n      \"OMR\": [\"01\", \"03\"],\n      \"MANAD\": [\"4\", \"5\", \"6\"],\n      \"AR\": \"2017\",\n      \"MATT\": \"1\",\n  })\n\n  # Do something with the result\n  df = res.pandas\n\n\nTODO\n----\n\n- Currently only properly tested on \"ekonomiskt bist\u00e5nd\"\n- Handle large queries.\n- Handle dimension labels\n\n\nDevelop\n------\n\nRun tests:\n\n  make tests\n",
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