2016-07-01

Version 0.1.2 pre-release

README.rst

@@ -9,13 +9,92 @@
 
 Welcome to uszipcode Documentation
 ==================================
-``uszipcode`` is the most powerful and easy to use zipcode information searchengine in Python. Besides geometry data (also boundary info), several useful census data points are also served: `population`, `population density`, `total wage`, `average annual wage`, `house of units`, `land area`, `water area`. The geometry and geocoding data I am using is from google map API on Oct 2015. To know more about the data, `click here <http://pythonhosted.org/uszipcode/uszipcode/data/__init__.html#module-uszipcode.data>`_. `Another pupolar zipcode Python extension <https://pypi.python.org/pypi/zipcode>`_ has lat, lng accuracy issue, which doesn't give me reliable results of searching by coordinate and radius.
+``uszipcode`` is the **most powerful and easy to use programmable zipcode database, and also a searchengine** in Python. Besides geometry data (also boundary info), several useful census data points are also served: `population`, `population density`, `total wage`, `average annual wage`, `house of units`, `land area`, `water area`. The geometry and geocoding data I am using is from google map API on Mar 2016. `To know more about the data, click here <http://pythonhosted.org/uszipcode/uszipcode/data/__init__.html#module-uszipcode.data>`_. Another `popular zipcode Python extension <https://pypi.python.org/pypi/zipcode>`_ has lat, lng accuracy issue, which doesn't give me reliable results of searching by coordinate and radius.
 
 **Highlight**:
 
-1. `Rich methods <http://pythonhosted.org/uszipcode/index.html#list-of-the-way-you-can-search>`_ are provided for getting zipcode anyway you want. 
-2. `Fuzzy city name and state name <http://pythonhosted.org/uszipcode/index.html#search-by-city-and-state>`_ allows you to search **WITHOUT using exactly accurate input**. **This is very helpful if you need to build a web app with it**.
-3. You can easily `sort your results <http://pythonhosted.org/uszipcode/index.html#sortby-descending-and-returns-keyword>`_ by `population`, `area`, `wealthy` and etc...
+- `Rich information <http://pythonhosted.org/uszipcode/uszipcode/searchengine.html#uszipcode.searchengine.Zipcode>`_ of zipcode is available.
+
+.. code-block:: python
+
+	>>> from uszipcode import ZipcodeSearchEngine
+	>>> search = ZipcodeSearchEngine()
+	>>> zipcode = search.by_zipcode("10001")
+	>>> print(zipcode)
+	{
+	    "City": "New York", 
+	    "Density": 34035.48387096774, 
+	    "HouseOfUnits": 12476, 
+	    "LandArea": 0.62, 
+	    "Latitude": 40.75368539999999, 
+	    "Longitude": -73.9991637, 
+	    "NEBoundLatitude": 40.8282129, 
+	    "NEBoundLongitude": -73.9321059, 
+	    "Population": 21102, 
+	    "SWBoundLatitude": 40.743451, 
+	    "SWBoungLongitude": -74.00794499999998, 
+	    "State": "NY", 
+	    "TotalWages": 1031960117.0, 
+	    "WaterArea": 0.0, 
+	    "Wealthy": 48903.42702113544, 
+	    "Zipcode": "10001", 
+	    "ZipcodeType": "Standard"
+	}
+
+- `Rich search methods <http://pythonhosted.org/uszipcode/index.html#list-of-the-way-you-can-search>`_ are provided for getting zipcode in the way you want.
+
+.. code-block:: python
+
+	# Search zipcode within 30 miles, ordered from closest to farthest
+	>>> res = search.by_coordinate(39.122229, -77.133578, radius=30, returns=5)
+	>>> len(res) # by default 5 results returned
+	5
+	>>> for zipcode in res:
+	...     # do whatever you want...
+
+	# Find top 10 population zipcode
+	>>> res = search.by_population(lower=0, upper=999999999, 
+	... sort_by="Population", ascending=False, returns=10)
+
+	# Find top 10 largest land area zipcode
+	>>> res = search.by_landarea(lower=0, upper=999999999, 
+	... sort_by="LandArea", ascending=False, returns=10)
+
+	# Find top 10 most wealthy zipcode in new york
+	>>> res = search.find(city="newyork", wealthy_lower=100000, 
+	... sort_by="Wealthy", returns=10) # at least $100,000 annual income
+
+- `Fuzzy city name and state name search <http://pythonhosted.org/uszipcode/index.html#search-by-city-and-state>`_ **enables case, space insensitive, typo tolerant input**. **You don't have to know the correct spelling of the city or state**. This is very helpful if you need to build a web app with it.
+
+.. code-block:: python
+
+	# Looking for Chicago and IL, but entered wrong spelling.
+	>>> res = search.by_city_and_state("cicago", "il")
+	>>> len(res) # 56 zipcodes in Chicago
+	56
+	>>> zipcode = res[0]
+	>>> zipcode.City
+	'Chicago'
+	>>> zipcode.State
+	'IL'
+
+- You can easily `sort your results <http://pythonhosted.org/uszipcode/index.html#sortby-descending-and-returns-keyword>`_ by `population`, `area`, `wealthy` and etc...
+
+.. code-block:: python
+
+	# Find top 10 population zipcode
+	>>> res = search.by_population(lower=0, upper=999999999, 
+	... sort_by="Population", ascending=False, returns=10)
+	>>> for zipcode in res:
+	...     # do whatever you want...
+
+- Easy export to csv. Result set can be easily export to csv.
+
+.. code-block:: python
+
+	# Find all zipcode in new york
+	>>> res = search.by_city(city="New York", returns=0)
+	>>> search.export_to_csv(res, "result.csv")
 
 
 **Quick Links**

create_doctree.py

@@ -1,23 +1,22 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-from __future__ import print_function
-from docfly import Docfly
-import os, shutil
+import docfly
 
+# Uncomment this if you follow Sanhe's Sphinx Doc Style Guide
+#--- Manually Made Doc ---
+# doc = docfly.DocTree("source")
+# doc.fly(table_of_content_header="Table of Content (目录)")
+
+#--- Api Reference Doc ---
 package_name = "uszipcode"
 
-try:
-    shutil.rmtree(os.path.join("source", package_name))
-except Exception as e:
-    print(e)
-
-docfly = Docfly(
-    package_name, 
+doc = docfly.ApiReferenceDoc(
+    package_name,
     dst="source",
     ignore=[
-        "%s.zzz_manual_install.py" % package_name,
         "%s.packages" % package_name,
+        "%s.zzz_manual_install.py" % package_name,
     ]
 )
-docfly.fly()
+doc.fly()

source/index.rst

@@ -37,7 +37,7 @@ Start the search engine, do some basic search::
 	False
 
 
-Context manager works too (to keep connection safe, RECOMMENDED)::
+Context manager works too (automatically disconnect database. RECOMMENDED)::
 
 	>>> with ZipcodeSearchEngine() as search:
 	...     zipcode = search.by_zipcode(10030)
@@ -62,13 +62,13 @@ Context manager works too (to keep connection safe, RECOMMENDED)::
 	    "ZipcodeType": "Standard"
 	}
 
-For all available zipcode attributes, :class:`click here <uszipcode.searchengine.Zipcode>`.
-
 There are two method you may need:
 
-1. You can use ``to_json()`` method to return json encoded string.
-2. You can use ``to_dict()`` method to return dictionary data.
-
+- You can use :meth:`~Zipcode.to_json()` method to return json encoded string.
+- You can use :meth:`~Zipcode.to_dict()` method to return dictionary data.
+- You can use :meth:`~Zipcode.to_OrderedDict()` method to return ordered dictionary data.
+- You can use :meth:`~Zipcode.keys()` method to return available attribute list.
+- You can use :meth:`~Zipcode.values()` method to return attributes' values.
 
 .. _search_way:
 
@@ -88,6 +88,7 @@ Here's the list of the ways you can search zipcode:
 - `by estimated total annual wage <by_total_wage_>`_
 - `by estimated average total annual wage <by_wealthy_>`_
 - `by estimated house of units <by_house_>`_
+- `advance search search <find_>`_
 
 You also should know `this trick <keyword_>`_ to sort your results.
 
@@ -115,12 +116,11 @@ Short state name also works:
 .. code-block:: python
 
 	>>> res = search.by_city_and_state("cicago", "il") # smartly guess what you are looking for
-	>>> len(res)
+	>>> len(res) # 56 zipcodes in Chicago
 	56
 	>>> zipcode = res[0]
 	>>> zipcode.City
 	'Chicago'
-
 	>>> zipcode.State
 	'IL'
 
@@ -280,35 +280,98 @@ You can search all zipcode by defining its total house of units lower bound or u
 .. code-block:: python
 
 	>>> res = search.by_house(lower=20000)
-	>>> for zipcode in res:
-	...     # do whatever you want...
 
 
-.. _keyword:
+.. _find:
 
-Sortby, Descending and Returns Keyword
+Advance Search
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-``by_prefix``, ``by_population``, ``by_density``, ``by_totalwages``, ``by_wealthy``, ``by_house`` methods support ``sortby``, ``descending`` and ``returns`` keyword.
+In addition, above methods can mix each other to implement very advance search:
+
+**Find most people-living zipcode in New York**
+
+.. code-block:: python
+
+	res = search.find(
+	    city="new york",
+	    sort_by="Population", ascending=False,
+	)
+
+**Find all zipcode in California that prefix is "999"**
+
+.. code-block:: python
+
+	res = search.find(
+	    state="califor",
+	    prefix="95",
+	    sort_by="HouseOfUnits", ascending=False,
+	    returns=100,
+	)
+
+**Find top 10 richest zipcode near Silicon Valley**
 
-- ``sortby``: string, default ``"Zipcode"``,the order of attributes that query results been returned
-- ``descending``: boolean, default False, is in descending order
-- ``returns``: maxiumum number of zipcode can be returned, use 0 for unlimited
+.. code-block:: python
+            
+    # Find top 10 richest zipcode near Silicon Valley
+    lat, lng = 37.391184, -122.082235
+    radius = 100
+    res = search.find(
+        lat=lat, 
+        lng=lng,
+        radius=radius,
+        sort_by="Wealthy", ascending=False,
+        returns=10,
+    )
+
+**Find zipcode that average personal annual income greater than $100,000 near Silicon Valley, order by distance**
+
+.. code-block:: python
+
+	lat, lng = 37.391184, -122.082235
+	radius = 100
+	res = search.find(
+	    lat=lat, 
+	    lng=lng,
+	    radius=radius,
+	    wealthy_lower=60000,
+	    sort_by="Dist",
+	    ascending=True,
+	    returns=0,
+	)
+
+
+.. _sort:
+
+Sort result
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+``by_city_and_state``, ``by_city``, ``by_state``, ``by_prefix``, ``by_population``, ``by_density``, ``by_totalwages``, ``by_wealthy``, ``by_house`` methods all support ``sort_by``, ``ascending`` keyword.
 
-Here's an example to find the top 100 richest zipcode, sorted by average annual wage:
+- ``sort_by``: attribute name(s), case insensitive. Accepts an attribute name or a list for a nested sort. By default ordered by ``Zipcode``. All valid attribute name is :class:`listed here <uszipcode.searchengine.Zipcode>`
+- ``ascending``: boolean or list, default ``True``, sort ascending vs. descending. Specify list for multiple sort orders
 
 .. code-block:: python
 
-	>>> res = search.by_wealthy(lower=100000, sortby="Wealthy", descending=True, returns=100) 
+	# Search zipcode that average annual income per person greater than $100,000
+	>>> res = search.by_wealthy(lower=100000, sort_by="Wealthy", ascending=True) 
 	>>> for zipcode in res:
-	...     # do whatever you want...
+	...     print(zipcode.Wealthy) # should be in ascending order
+
 
-.. include:: about.rst
+.. _limit:
 
+Restrict number of results to return
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Every search method support ``returns`` keyword to limit number of results to return. Zero is for unlimited. The default limit is 5.
 
-Indices and tables
-==================
+Here's an example to find the top 10 most people zipcode, sorted by population:
 
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
+.. code-block:: python
+
+	# Find the top 10 population zipcode
+	>>> res = search.by_population(upper=999999999, sort_by="population", ascending=False, returns=10)
+	>>> len(res)
+	10
+	>>> for zipcode in res:
+	...     print(zipcode.Population) # should be in descending order
 
+.. include:: about.rst

source/uszipcode/__init__.rst

@@ -2,13 +2,14 @@ uszipcode
 =========
 
 .. automodule:: uszipcode
-	:members:
+    :members:
 
-subpackage and modules
-----------------------
+sub packages and modules
+------------------------
 
 .. toctree::
    :maxdepth: 1
 
-	data <data/__init__>
-	searchengine <searchengine>
+    data <data/__init__>
+    searchengine <searchengine>
+

source/uszipcode/data/__init__.rst

@@ -2,11 +2,12 @@ data
 ====
 
 .. automodule:: uszipcode.data
-	:members:
+    :members:
 
-subpackage and modules
-----------------------
+sub packages and modules
+------------------------
 
 .. toctree::
    :maxdepth: 1
 
+

source/uszipcode/searchengine.rst

@@ -2,4 +2,4 @@ searchengine
 ============
 
 .. automodule:: uszipcode.searchengine
-	:members:
+    :members:

tests/test_all.py

@@ -0,0 +1,10 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+"""
+elementary_path unittest.
+"""
+
+if __name__ == "__main__":
+    import py
+    py.test.cmdline.main("--tb=native") # use native python trace back

tests/test_fuzzywuzzy.py

@@ -13,6 +13,8 @@ def test_all():
     assert res[2][0] == "a cow boy"
 
 
+#--- Unittest ---
 if __name__ == "__main__":
     import py
-    py.test.cmdline.main("--tb=native -s")
+    import os
+    py.test.cmdline.main("%s --tb=native -s" % os.path.basename(__file__))

tests/test_haversine.py

@@ -13,6 +13,8 @@ def test_all():
     assert abs(great_circle(lyon, paris, miles=True)/243.589575 - 1.0) <= delta
 
 
+#--- Unittest ---
 if __name__ == "__main__":
     import py
-    py.test.cmdline.main("--tb=native -s")
+    import os
+    py.test.cmdline.main("%s --tb=native -s" % os.path.basename(__file__))