{ "info": { "author": "Adam Kariv", "author_email": "adam@obudget.org", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4" ], "description": "# GEOStatIL\n\n[![PyPi](https://img.shields.io/pypi/v/jsontableschema.svg)](https://pypi.python.org/pypi/geostatil)\n\nThis library allows you to get detailed statistical data on any point in Israel.\n\nIt uses the 2008 census (done by the LAMAS, Israel's statistical bureau). The census holds data for \"statistical areas\", which are is a fine grained partition of the land into areas with similar properties. Each statistical area describes a few 1000s of people.\n\nIt accepts both latitude/longitude pairs as well as textual addresses (which are geocoded using an online service).\n\n## Usage\n\n```\n>>> from geostatil import GEOStatIL\n>>> gsi = GEOStatIL()\n>>> gsi(address=u'\u05d3\u05d9\u05d6\u05e0\u05d2\u05d5\u05e3 99, \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1')\n\n{'\u05d0\u05d5\u05db\u05dc\u05d5\u05e1\u05d9\u05d9\u05d4 \u2013 \u05e1\u05da \u05d4\u05db\u05dc (\u05d0\u05dc\u05e4\u05d9\u05dd)': '1.9',\n '\u05d0\u05d6\u05d5\u05e8 \u05d8\u05d1\u05e2\u05d9': '\u05d0\u05d6\u05d5\u05e8 \u05ea\u05dc \u05d0\u05d1\u05d9\u05d1',\n '\u05d0\u05d6\u05d5\u05e8 \u05e1\u05d8\u05d8\u05d9\u05e1\u05d8\u05d9': '343',\n '\u05d0\u05d7\u05d5\u05d6 \u05d1\u05e0\u05d9 15 \u05d5\u05de\u05e2\u05dc\u05d4 \u05e9\u05e2\u05d1\u05d3\u05d5 \u05d1\u05e9\u05e0\u05ea 2008 \u05d1\u05e2\u05e0\u05e3 \"\u05de\u05e1\u05d7\u05e8 \u05e1\u05d9\u05d8\u05d5\u05e0\u05d9 \u05d5\u05e7\u05de\u05e2\u05d5\u05e0\u05d9, \u05ea\u05d9\u05e7\u05d5\u05df \u05db\u05dc\u05d9 \u05e8\u05db\u05d1 \u05de\u05e0\u05d5\u05e2\u05d9\u05d9\u05dd, \u05d0\u05d5\u05e4\u05e0\u05d5\u05e2\u05d9\u05dd, \u05e7\u05d8\u05e0\u05d5\u05e2\u05d9\u05dd \u05d5\u05d8\u05d5\u05d1\u05d9\u05df \u05dc\u05e9\u05d9\u05de\u05d5\u05e9 \u05d0\u05d9\u05e9\u05d9 \u05d5\u05d1\u05d9\u05ea\u05d9\"': '11.0',\n '\u05d0\u05d7\u05d5\u05d6 \u05d2\u05d1\u05e8\u05d9\u05dd \u05d1\u05e0\u05d9 15 \u05d5\u05de\u05e2\u05dc\u05d4 \u05d1\u05e2\u05dc\u05d9 \u05ea\u05e2\u05d5\u05d3\u05d5\u05ea \u05d0\u05d7\u05e8\u05d5\u05ea': '4.3',\n '\u05d0\u05d7\u05d5\u05d6 \u05d1\u05e0\u05d9 17-0 ': '5.0',\n '\u05d0\u05d7\u05d5\u05d6 \u05d1\u05e0\u05d9 64-18 ': '85.4',\n '\u05d0\u05d7\u05d5\u05d6 \u05d1\u05e0\u05d9 65+ ': '9.5',\n '\u05d0\u05d7\u05d5\u05d6 \u05d1\u05e0\u05d9 15 \u05d5\u05de\u05e2\u05dc\u05d4 \u05d1\u05db\u05d5\u05d7 \u05d4\u05e2\u05d1\u05d5\u05d3\u05d4 \u05d4\u05d0\u05d6\u05e8\u05d7\u05d9 \u05d4\u05e9\u05e0\u05ea\u05d9': '86.2',\n '\u05d0\u05d7\u05d5\u05d6 \u05d1\u05e0\u05d9 15 \u05d5\u05de\u05e2\u05dc\u05d4 \u05d1\u05e2\u05dc\u05d9 \u05ea\u05d5\u05d0\u05e8 \u05d0\u05e7\u05d3\u05de\u05d9 \u05e8\u05d0\u05e9\u05d5\u05df': '35.9',\n\n ### ...Omitting another ~250 rows...\n\n '\u05e1\u05de\u05dc \u05de\u05d7\u05d5\u05d6': '5',\n '\u05e1\u05de\u05dc \u05de\u05d8\u05e8\u05d5\u05e4\u05d5\u05dc\u05d9\u05df': '110',\n '\u05e1\u05de\u05dc \u05de\u05e2\u05de\u05d3 \u05de\u05d5\u05e0\u05d9\u05e6\u05d9\u05e4\u05dc\u05d9': '0',\n '\u05e1\u05de\u05dc \u05e0\u05e4\u05d4': '51',\n '\u05e1\u05de\u05dc \u05e6\u05d5\u05e8\u05ea \u05d9\u05d9\u05e9\u05d5\u05d1': '130',\n '\u05e6\u05d5\u05e8\u05ea \u05d9\u05d9\u05e9\u05d5\u05d1': '\u05d9\u05d9\u05e9\u05d5\u05d1 \u05d9\u05d4\u05d5\u05d3\u05d9 499,999-200,000 \u05ea\u05d5\u05e9\u05d1\u05d9\u05dd',\n '\u05e6\u05e4\u05d9\u05e4\u05d5\u05ea \u05d0\u05d5\u05db\u05dc\u05d5\u05e1\u05d9\u05d9\u05d4 (\u05dc\u05e7\u05de\"\u05e8)': '',\n '\u05e6\u05e4\u05d9\u05e4\u05d5\u05ea \u05d3\u05d9\u05d5\u05e8 \u05de\u05de\u05d5\u05e6\u05e2\u05ea \u05dc\u05de\u05e9\u05e7 \u05d1\u05d9\u05ea': '0.8',\n '\u05e8\u05d5\u05d1\u05e2': '3',\n '\u05e9\u05d8\u05d7 \u05d4\u05d9\u05d9\u05e9\u05d5\u05d1 (\u05e7\u05de\"\u05e8)': '',\n '\u05e9\u05e0\u05ea \u05d9\u05e1\u05d5\u05d3': '1909',\n '\u05ea\u05ea-\u05e8\u05d5\u05d1\u05e2': '34'}\n\n```\n\n## Installation\n```\n$ pip install geostatil\n```\n", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/akariv/geostatil", "keywords": "cbs lamas statistics israel", "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "geostatil", "package_url": "https://pypi.org/project/geostatil/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/geostatil/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/akariv/geostatil" }, "release_url": "https://pypi.org/project/geostatil/0.0.1/", 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