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ctnamecleaner-0.9
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مشاهده بیشترتوضیحات
Replace village names and commonly-misspelled Connecticut town names with real town/city names.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | ctnamecleaner-0.9 |
| نام | ctnamecleaner |
| نسخه کتابخانه | 0.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Jake Kara |
| ایمیل نویسنده | jake@jakekara.com |
| آدرس صفحه اصلی | https://github.com/jakekara/ctnamecleaner-py |
| آدرس اینترنتی | https://pypi.org/project/ctnamecleaner/ |
| مجوز | GPL-3.0 |
# CT Name Cleaner
Resolve village and coloquial Connecticut town names, as well as common
misspellings of Connecticut town names to their official town names.
This is based on an R package of the same name by my colleague Andrew Ba Tran.
This installs a command line script, ctclean, as well as a library
particularly meant for use within Jupyter notebooks.
by Jake Kara, jake@jakekara.com
### Latest version
0.10.1
### Installation
pip install ctnamecleaner
### Command line util
Usage:
$ ctclean New\ Preston
WASHINGTON
$ ctclean "New Preston"
WASHINGTON
When nothing is found, return None:
$ ctclean NotGonnaFindItsVille
None
Set a custom value to return on error with the --error or -e flag:
$ ctclean NotGonnaFindItsVille --error "Ruh Roh"
Ruh Roh
### Use with Pandas dataframes
See HELP.txt in this directory and the Notebook in the demo/ folder in this
repo for an example of translating an entire column with the clean,
clean_col and the clean_dataframe() method. clean_dataframe uses pandas'
DataFrame.join() method, so it's faster than using the cean() method
and applying it with a lambda function yourself.
### Extending with other data
Not in CT? Want to map other things? Just make a spreadsheet and put it
anywhere, online or locally, that Pandas .read_csv() can open, and then use
the constructor to customize the lookup class.
>>> l = lookup.Lookup(csv_url="http://path/to/your/sheet",
raw_name_col="something",
clean_name_col="something_else")
### Contents of HELP.txt
Below this point is auto documentation from the lookup class generated from
help.py:
Help on module ctlookup.lookup in ctlookup:
NAME
ctlookup.lookup - Main module for CT Name Cleaner
FILE
/Applications/MAMP/htdocs/tdev/pyctnamecleaner/package/ctlookup/lookup.py
CLASSES
Lookup
class Lookup
| Lookup class for CT place names, or any other DF for that matter
|
| Methods defined here:
|
| __init__(self, raw_name_col='name', clean_name_col='real.town.name', csv_url=None, use_inet_csv=False)
| Constructor for Lookup
|
| No need to use parameters unless you are specifying a different
| source URL.
|
| Parameters
| -----------
| raw_name_col : string, optional
| The name of the column with input names, like "New Preston"
|
| Only use if you're using a different source spreadsheet.
|
| clean_name_col : string, optional
| The name of the column with out names, like "Washington"
|
| Only use if you're using a different source spreadsheet.
|
| csv_url : string, optional
| A valid local file or remote url to use as an alternative
| source spreadsheet.
|
| use_inet_csv : boolean, optional
| Force a reload of the spreadsheet from the web to reflect any
| new additions since it was bundled with this python package.
|
| Defaults to False. The list doesn't change too much anymore.
|
| clean(self, raw_name, error=None)
| Get a clean place name (e.g. input "New Preston" and get
| "Washington")
|
| Parameters
| ----------
| raw_name : string
| The input name of the place, such as a village or a
| common misspelling of a town name
|
| error : obj, optional
| The default to return if no match is found
|
| Defaults to None
|
| Returns
| -------
| String or the value of None (or anything specified with the error
| parameter) if no match is found
|
| clean_col(self, series, error=None)
| Clean a Pandas Series of place names
|
| Parameters
| ----------
| series : Pandas Series
| A series containing place names that need to be cleaned
|
| error : obj, optional
| Value to use if no match is found for a given place.
|
| Defaults to None
|
| Notes
| -----
| Meant as a less opinionated version of clean_dataframe
|
| clean_dataframe(self, df, town_col, error=None)
| Clean an entire column of place names
|
| Parameters
| ----------
|
| df : Pandas DataFrame
| Dataframe containing to clean
|
| town_col : valid column label
| Label of column containing town names to clean
|
| error : obj, optional
| Default value to use when no match is found.
|
| Defaults to None
|
| Notes
| -----
| I plan to deprecate this but leave it in place for
| backward-compatibility. Use clean_col instead.
نحوه نصب
نصب پکیج whl ctnamecleaner-0.9:
pip install ctnamecleaner-0.9.whl
نصب پکیج tar.gz ctnamecleaner-0.9:
pip install ctnamecleaner-0.9.tar.gz