{
    "info": {
        "author": "Sanhe Hu",
        "author_email": "husanhe@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6"
        ],
        "description": ".. image:: https://readthedocs.org/projects/uszipcode/badge/?version=latest\n    :target: https://uszipcode.readthedocs.io/?badge=latest\n    :alt: Documentation Status\n\n.. image:: https://travis-ci.org/MacHu-GWU/uszipcode-project.svg?branch=master\n    :target: https://travis-ci.org/MacHu-GWU/uszipcode-project?branch=master\n\n.. image:: https://codecov.io/gh/MacHu-GWU/uszipcode-project/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/MacHu-GWU/uszipcode-project\n\n.. image:: https://img.shields.io/pypi/v/uszipcode.svg\n    :target: https://pypi.python.org/pypi/uszipcode\n\n.. image:: https://img.shields.io/pypi/l/uszipcode.svg\n    :target: https://pypi.python.org/pypi/uszipcode\n\n.. image:: https://img.shields.io/pypi/pyversions/uszipcode.svg\n    :target: https://pypi.python.org/pypi/uszipcode\n\n.. image:: https://img.shields.io/pypi/dm/uszipcode\n    :target: https://pypi.python.org/pypi/uszipcode\n\n.. image:: https://img.shields.io/badge/STAR_Me_on_GitHub!--None.svg?style=social\n    :target: https://github.com/MacHu-GWU/uszipcode-project\n\n------\n\n\n.. image:: https://img.shields.io/badge/Link-Document-blue.svg\n      :target: https://uszipcode.readthedocs.io/index.html\n\n.. image:: https://img.shields.io/badge/Link-API-blue.svg\n      :target: https://uszipcode.readthedocs.io/py-modindex.html\n\n.. image:: https://img.shields.io/badge/Link-Source_Code-blue.svg\n      :target: https://github.com/MacHu-GWU/uszipcode-project/tree/master/uszipcode\n\n.. image:: https://img.shields.io/badge/Link-Install-blue.svg\n      :target: `install`_\n\n.. image:: https://img.shields.io/badge/Link-GitHub-blue.svg\n      :target: https://github.com/MacHu-GWU/uszipcode-project\n\n.. image:: https://img.shields.io/badge/Link-Submit_Issue-blue.svg\n      :target: https://github.com/MacHu-GWU/uszipcode-project/issues\n\n.. image:: https://img.shields.io/badge/Link-Request_Feature-blue.svg\n      :target: https://github.com/MacHu-GWU/uszipcode-project/issues\n\n.. image:: https://img.shields.io/badge/Link-Download-blue.svg\n      :target: https://pypi.org/pypi/uszipcode#files\n\n\nWelcome to ``uszipcode`` Documentation\n==============================================================================\n\n**If you are on www.pypi.org or www.github.com**, this is not the complete document. Here is the `Complete Document <https://uszipcode.readthedocs.io/index.html>`_.\n\n\n``uszipcode`` is the **most powerful and easy to use programmable zipcode database** in Python. It comes with a rich feature and easy-to-use zipcode search engine. And it is easy to customize the search behavior as you wish.\n\n\nData Points\n------------------------------------------------------------------------------\n\nFrom version 0.2.0, ``uszipcode`` use a more up-to-date database, and having a crawler running every week to collection different data points from multiple data source. And **API in 0.2.X NOT COMPATIBLE with 0.1.X**, please read `Document <https://uszipcode.readthedocs.io/index.html>`_ for more information.\n\n**Address, Postal**\n\n- zipcode\n- zipcode_type\n- major_city\n- post_office_city\n- common_city_list\n- county\n- state\n- **area_code_list**\n\n**Geography**\n\n- lat\n- lng\n- timezone\n- radius_in_miles\n- land_area_in_sqmi\n- water_area_in_sqmi\n- bounds_west\n- bounds_east\n- bounds_north\n- bounds_south\n- **border polygon**\n\n**Stats and Demographics**\n\n- population\n- population_density\n- population_by_year\n- population_by_age\n- population_by_gender\n- population_by_race\n- head_of_household_by_age\n- families_vs_singles\n- households_with_kids\n- children_by_age\n\n**Real Estate and Housing**\n\n- housing_units\n- occupied_housing_units\n\n- median_home_value\n- median_household_income\n\n- housing_type\n- year_housing_was_built\n- housing_occupancy\n- vancancy_reason\n- owner_occupied_home_values\n- rental_properties_by_number_of_rooms\n\n- monthly_rent_including_utilities_studio_apt\n- monthly_rent_including_utilities_1_b\n- monthly_rent_including_utilities_2_b\n- monthly_rent_including_utilities_3plus_b\n\n**Employment, Income, Earnings, and Work**\n\n- employment_status\n- average_household_income_over_time\n- household_income\n- annual_individual_earnings\n\n- sources_of_household_income____percent_of_households_receiving_income\n- sources_of_household_income____average_income_per_household_by_income_source\n\n- household_investment_income____percent_of_households_receiving_investment_income\n- household_investment_income____average_income_per_household_by_income_source\n\n- household_retirement_income____percent_of_households_receiving_retirement_incom\n- household_retirement_income____average_income_per_household_by_income_source\n\n- source_of_earnings\n- means_of_transportation_to_work_for_workers_16_and_over\n- travel_time_to_work_in_minutes\n\n**Education**\n\n- educational_attainment_for_population_25_and_over\n- school_enrollment_age_3_to_17\n\n\nExample Usage\n------------------------------------------------------------------------------\n\n**NOTE**:\n\n    ``uszipcode`` has two backend database, ``SimpleZipcode`` and ``Zipcode``. ``Zipcode`` has more info, but the database file is 450MB (takes more time to download). ``SimpleZipcode`` doesn't has all data points listed above, but the database file is smaller (9MB). By default ``uszipcode`` use ``SimpleZipcode``. You can use this code to choose to use the rich info ``Zipcode``:\n\n    .. code-block:: python\n\n        >>> from uszipcode import SearchEngine\n        >>> search = SearchEngine(simple_zipcode=False)\n\n    From 0.2.4, ``uszipcode`` **allows developer to choose which directory you want to use to download the database file**. By default, it is ``$HOME/.uszipcode``, but you can easily change it.:\n\n    .. code-block:: python\n\n        >>> search = SearchENgine(db_file_dir=\"/tmp\")\n\n    For example, AWS Lambda doesn't allow to download file to $HOME directory, but allows to download to ``/tmp`` folder.\n\n\n**Examples**:\n\n.. code-block:: python\n\n    >>> from uszipcode import SearchEngine\n    >>> search = SearchEngine(simple_zipcode=True) # set simple_zipcode=False to use rich info database\n    >>> zipcode = search.by_zipcode(\"10001\")\n    >>> zipcode\n    SimpleZipcode(zipcode=u'10001', zipcode_type=u'Standard', major_city=u'New York', post_office_city=u'New York, NY', common_city_list=[u'New York'], county=u'New York County', state=u'NY', lat=40.75, lng=-73.99, timezone=u'Eastern', radius_in_miles=0.9090909090909091, area_code_list=[u'718', u'917', u'347', u'646'], population=21102, population_density=33959.0, land_area_in_sqmi=0.62, water_area_in_sqmi=0.0, housing_units=12476, occupied_housing_units=11031, median_home_value=650200, median_household_income=81671, bounds_west=-74.008621, bounds_east=-73.984076, bounds_north=40.759731, bounds_south=40.743451)\n\n    >>> zipcode.values() # to list\n    [u'10001', u'Standard', u'New York', u'New York, NY', [u'New York'], u'New York County', u'NY', 40.75, -73.99, u'Eastern', 0.9090909090909091, [u'718', u'917', u'347', u'646'], 21102, 33959.0, 0.62, 0.0, 12476, 11031, 650200, 81671, -74.008621, -73.984076, 40.759731, 40.743451]\n\n    >>> zipcode.to_dict() # to dict\n    {'housing_units': 12476, 'post_office_city': u'New York, NY', 'bounds_east': -73.984076, 'county': u'New York County', 'population_density': 33959.0, 'radius_in_miles': 0.9090909090909091, 'timezone': u'Eastern', 'lng': -73.99, 'common_city_list': [u'New York'], 'zipcode_type': u'Standard', 'zipcode': u'10001', 'state': u'NY', 'major_city': u'New York', 'population': 21102, 'bounds_west': -74.008621, 'land_area_in_sqmi': 0.62, 'lat': 40.75, 'median_household_income': 81671, 'occupied_housing_units': 11031, 'bounds_north': 40.759731, 'bounds_south': 40.743451, 'area_code_list': [u'718', u'917', u'347', u'646'], 'median_home_value': 650200, 'water_area_in_sqmi': 0.0}\n\n    >>> zipcode.to_json() # to json\n    {\n        \"zipcode\": \"10001\",\n        \"zipcode_type\": \"Standard\",\n        \"major_city\": \"New York\",\n        \"post_office_city\": \"New York, NY\",\n        \"common_city_list\": [\n            \"New York\"\n        ],\n        \"county\": \"New York County\",\n        \"state\": \"NY\",\n        \"lat\": 40.75,\n        \"lng\": -73.99,\n        \"timezone\": \"Eastern\",\n        \"radius_in_miles\": 0.9090909090909091,\n        \"area_code_list\": [\n            \"718\",\n            \"917\",\n            \"347\",\n            \"646\"\n        ],\n        \"population\": 21102,\n        \"population_density\": 33959.0,\n        \"land_area_in_sqmi\": 0.62,\n        \"water_area_in_sqmi\": 0.0,\n        \"housing_units\": 12476,\n        \"occupied_housing_units\": 11031,\n        \"median_home_value\": 650200,\n        \"median_household_income\": 81671,\n        \"bounds_west\": -74.008621,\n        \"bounds_east\": -73.984076,\n        \"bounds_north\": 40.759731,\n        \"bounds_south\": 40.743451\n    }\n\nRich search methods are provided for getting zipcode in the way you want.\n\n.. code-block:: python\n\n    >>> from uszipcode import Zipcode\n    # Search zipcode within 30 miles, ordered from closest to farthest\n    >>> result = search.by_coordinates(39.122229, -77.133578, radius=30, returns=5)\n    >>> len(res) # by default 5 results returned\n    5\n    >>> for zipcode in result:\n    ...     # do whatever you want...\n\n    # Find top 10 population zipcode\n    >>> result = search.by_population(lower=0, upper=999999999,\n    ... sort_by=Zipcode.population, ascending=False, returns=10)\n\n    # Find top 10 largest land area zipcode\n    >>> res = search.by_landarea(lower=0, upper=999999999, \n    ... sort_by=Zipcode.land_area_in_sqmi, ascending=False, returns=10)\n\n\n**Fuzzy city name and state name search** does not require developer **to know the exact spelling of the city or state**. And it is case, space insensitive, having high tolerance to typo. This is very helpful if you need to build a web app with it.\n\n.. code-block:: python\n\n    # Looking for Chicago and IL, but entered wrong spelling.\n    >>> res = search.by_city_and_state(\"cicago\", \"il\")\n    >>> len(res) # 56 zipcodes in Chicago\n    56\n    >>> zipcode = res[0]\n    >>> zipcode.major_city\n    'Chicago'\n    >>> zipcode.state_abbr\n    'IL'\n\nYou can **easily sort your results** by any field, or distance from a coordinates if you query by location.\n\n.. code-block:: python\n\n    # Find top 10 population zipcode\n    >>> res = search.by_population(lower=0, upper=999999999, \n    ... sort_by=Zipcode.population, ascending=False, returns=10)\n    >>> for zipcode in res:\n    ...     # do whatever you want...\n\n\nDeploy Uszipcode as a Web Service\n------------------------------------------------------------------------------\n\nIf you want to build a private uszipcode API server you have two choice:\n\n1. Use a VM like EC2 machine, and deploy a web api server with the machine.\n2. (RECOMMEND) Dump the sqlite database to any relational database like Postgres, MySQL, and inject the database connection info in your application server.\n\nIn the feature release, I will provide an easy way that allow you to deploy uszipcode as a private web api service.\n\nThank you.\n\n\n.. _install:\n\nInstall\n------------------------------------------------------------------------------\n\n``uszipcode`` is released on PyPI, so all you need is:\n\n.. code-block:: console\n\n    $ pip install uszipcode\n\nTo upgrade to latest version:\n\n.. code-block:: console\n\n    $ pip install --upgrade uszipcode\n\n\n",
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