This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (
Help us improve Python packaging - Donate today!

Linking rows of pandas dataframes

Project Description
# pandas-linker

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

This library is meant for datasets of a size where comparing every row with every other is undesirable. Instead you can decide on a sorting order of the DataFrame and only compare every row with every other inside a sliding window.

## Install

pip install pandas-linker

## 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 do 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


History Node


Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pandas_linker-0.0.2-py2.py3-none-any.whl (6.0 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Nov 24, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS 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