This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description
# pandas-linker

`pandas-linker` runs comparison windows over pandas DataFrame and
links the rows via assigned UUIDs. This library does not actually do any duplicate
detection but provides a harness to run your own comparison functions on your data.

## Example

Let's say you have a DataFrame like this:

[ix] | name | country
0 | Pete | Spain
1 | Mary | USA
2 | Bart | US
3 | Mary | US

and you want to detect similar rows and mark them as such. Here's how to that:

from pandas_linker import get_linker

def compare_rows(a, b):
''' Example function that decides if two rows represent same entity.'''
return a['name'] in b['name'] or b['name'] in a['name']

# df is a pandas.DataFrame with a unique index

with get_linker(df, field='uid') as linker:

print('Comparing in 10 row window sorted by name')
linker(sort_cols=['name'], window_size=10, cmp=compare_rows)

print('Comparing in 15 row window sorted by country')
linker(sort_cols=['country'], window_size=15, cmp=compare_rows)


After running the linker the process is complete

[ix] | name | country | uid
0 | Pete | Spain | 7509781940fc471cad5dc32944652d70
1 | Mary | USA | 8f8dccd91568472daf740e9160349d6c
2 | Bart | US | 12b55fbe80f64d378193acd727b0e051
3 | Mary | US | 8f8dccd91568472daf740e9160349d6c

Note that both "Mary" rows in the DataFrame have been identified as representing
the same entity and were assigned the same UUID.
Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pandas_linker-0.0.1-py2.py3-none-any.whl (5.7 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Oct 6, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS HPE HPE Development Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting