rfm 1.0.6

Python Package for RFM Analysis and Customer Segmentation

rfm

rfm: Python Package for RFM Analysis and Customer Segmentation

Info

rfm is a Python package that provides recency, frequency, monetary analysis results for a certain transactional dataset within a snap. Its flexible structure and multiple functionalities provide easy and intuitive approach to RFM Analysis in an automated fashion. It aims to be a ready-made python package with high-level and quick prototyping. On practical hand, real world data is easily suited and adapted by the package. Additionally, it can make colorful, intuitive graphs using a matplotlib backend without breaking a sweat.

Installation

Dependencies

• Python (>=3.7)
• Pandas (>=1.2.4)
• NumPy (>=1.20.1)
• matplotlib (>=3.3.4)

To install the current release (Ubuntu and Windows):

$ pip install rfm

Usage

# predefine a transaction dataset as df

>>> from rfm import RFM

>>> r = RFM(df, customer_id='CustomerID', transaction_date='InvoiceDate', amount='Amount')

>>> r.segment_distribution()

Documentation

The official documentation is hosted on :

License

MIT