Standardizes data about U.S. states
Project description
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8eeeee 8 8 8 8 8 8eeeee 8 8 8 8 8
88 8e 8eee8 8e 8eee 88 8e 8eeee8 8e 8eee
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A Python library that standardizes the names of U.S. states
[![Build Status](https://travis-ci.org/datadesk/latimes-statestyle.png?branch=master)](https://travis-ci.org/datadesk/latimes-statestyle)
[![PyPI version](https://badge.fury.io/py/latimes-statestyle.png)](http://badge.fury.io/py/latimes-statestyle)
[![Coverage Status](https://coveralls.io/repos/datadesk/latimes-statestyle/badge.png?branch=master)](https://coveralls.io/r/datadesk/latimes-statestyle?branch=master)
* Issues: [https://github.com/datadesk/latimes-statestyle/issues](https://github.com/datadesk/latimes-statestyle/issues)
* Packaging: [https://pypi.python.org/pypi/latimes-statestyle](https://pypi.python.org/pypi/latimes-statestyle)
* Testing: [https://travis-ci.org/datadesk/latimes-statestyle](https://travis-ci.org/datadesk/latimes-statestyle)
* Coverage: [https://coveralls.io/r/datadesk/latimes-statestyle](https://coveralls.io/r/datadesk/latimes-statestyle)
Features
--------
- Submit a state’s name, postal code or Associated Press abbreviation or [FIPS
code](https://en.wikipedia.org/wiki/Federal_Information_Processing_Standards)
and receive a clean object with all other formats as attributes.
- State objects also provide the “stateface” code for [ProPublica’s
web font of state shapes](http://propublica.github.com/stateface/)
Getting started
---------------
Getting started is as easy as…
```bash
$ pip install latimes-statestyle
```
Then start feeding it your data.
```python
>>> import statestyle
# Get by postal code
>>> obj = statestyle.get('CA')
```
If there is a match you can access the clean, standardized attributes.
```python
# Here's the full name of the state
>>> print obj.name
California
# The U.S. postal code
>>> print obj.postal
CA
# The Associated Press style abbreviation
>>> print obj.ap
Calif.
# The FIPS ID code
>>> print obj.fips
6
# The type of geographic area
>>> print obj.type
state
# The ProPublica stateface code
>>> obj.stateface
"E"
```
You can pass in any of the attributes for a match.
```python
# Like the FIPS code
>>> obj = statestyle.get(6)
# And the same attributes available
>>> print obj.name
California
```
Here's what happens when you submit something that doesn't have a match.
```python
>>> statestyle.get("foo")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "statestyle/__init__.py", line 27, in get
raise ValueError("The state you requested does not exist")
ValueError: The state you requested does not exist
```
And here's a couple ways you can convert the object it returns to a dictionary.
```python
>>> o = statestyle.get("CA")
>>> dict(o)
{'name': 'California', 'ap': 'Calif.', 'fips': '6', 'postal': 'CA', 'type': 'state', 'stateface': 'E'}
>>> o.to_dict()
{'name': 'California', 'ap': 'Calif.', 'fips': '6', 'postal': 'CA', 'type': 'state', 'stateface': 'E'}
# You can also access the attributes as dictionary keys if you want
>>> o['name']
'California'
```
Contributing
------------
If you would like to add another feature or change existing data, edit
`statestyle/data.csv` and then run `python build.py`, which will remake
the data file imported by the library.
8 eeeee eeeee eeeee eeee 8 eeeee e e e eeee
8eeeee 8 8 8 8 8 8eeeee 8 8 8 8 8
88 8e 8eee8 8e 8eee 88 8e 8eeee8 8e 8eee
e 88 88 88 8 88 88 e 88 88 88 88 88
8eee88 88 88 8 88 88ee 8eee88 88 88 88eee 88ee </code></pre>
A Python library that standardizes the names of U.S. states
[![Build Status](https://travis-ci.org/datadesk/latimes-statestyle.png?branch=master)](https://travis-ci.org/datadesk/latimes-statestyle)
[![PyPI version](https://badge.fury.io/py/latimes-statestyle.png)](http://badge.fury.io/py/latimes-statestyle)
[![Coverage Status](https://coveralls.io/repos/datadesk/latimes-statestyle/badge.png?branch=master)](https://coveralls.io/r/datadesk/latimes-statestyle?branch=master)
* Issues: [https://github.com/datadesk/latimes-statestyle/issues](https://github.com/datadesk/latimes-statestyle/issues)
* Packaging: [https://pypi.python.org/pypi/latimes-statestyle](https://pypi.python.org/pypi/latimes-statestyle)
* Testing: [https://travis-ci.org/datadesk/latimes-statestyle](https://travis-ci.org/datadesk/latimes-statestyle)
* Coverage: [https://coveralls.io/r/datadesk/latimes-statestyle](https://coveralls.io/r/datadesk/latimes-statestyle)
Features
--------
- Submit a state’s name, postal code or Associated Press abbreviation or [FIPS
code](https://en.wikipedia.org/wiki/Federal_Information_Processing_Standards)
and receive a clean object with all other formats as attributes.
- State objects also provide the “stateface” code for [ProPublica’s
web font of state shapes](http://propublica.github.com/stateface/)
Getting started
---------------
Getting started is as easy as…
```bash
$ pip install latimes-statestyle
```
Then start feeding it your data.
```python
>>> import statestyle
# Get by postal code
>>> obj = statestyle.get('CA')
```
If there is a match you can access the clean, standardized attributes.
```python
# Here's the full name of the state
>>> print obj.name
California
# The U.S. postal code
>>> print obj.postal
CA
# The Associated Press style abbreviation
>>> print obj.ap
Calif.
# The FIPS ID code
>>> print obj.fips
6
# The type of geographic area
>>> print obj.type
state
# The ProPublica stateface code
>>> obj.stateface
"E"
```
You can pass in any of the attributes for a match.
```python
# Like the FIPS code
>>> obj = statestyle.get(6)
# And the same attributes available
>>> print obj.name
California
```
Here's what happens when you submit something that doesn't have a match.
```python
>>> statestyle.get("foo")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "statestyle/__init__.py", line 27, in get
raise ValueError("The state you requested does not exist")
ValueError: The state you requested does not exist
```
And here's a couple ways you can convert the object it returns to a dictionary.
```python
>>> o = statestyle.get("CA")
>>> dict(o)
{'name': 'California', 'ap': 'Calif.', 'fips': '6', 'postal': 'CA', 'type': 'state', 'stateface': 'E'}
>>> o.to_dict()
{'name': 'California', 'ap': 'Calif.', 'fips': '6', 'postal': 'CA', 'type': 'state', 'stateface': 'E'}
# You can also access the attributes as dictionary keys if you want
>>> o['name']
'California'
```
Contributing
------------
If you would like to add another feature or change existing data, edit
`statestyle/data.csv` and then run `python build.py`, which will remake
the data file imported by the library.
Project details
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