fabcohort 0.3.1

for cohort analysis

fabcohort

A small demo library for a fab_cohort about cohort analysis

Installation

pip install fabcohort

Get started

How to do cohort analysis with this lib:

FUNCTION1:

Cohort analysis by segments

Pandas df.head(5) should look like -

user_id	date	segment	count
5fb507360cd5c0	2023-04-01	A,B	1
weg507360cwfw3	2023-03-01	A,	1
6001ef966c13w3	2023-02-01	C,D	1
weg507360cwfw3	2023-04-01	B,D	1
6001ef966c13w3	2023-03-01	A,B	1

from fab_cohort import Cohort

# Instantiate a Cohort object
cohort = Cohort()

# Call the count_cohort_segments method, e.g., MS for month start, W-MON for week start
result = cohort.count_cohort_segments(df, frequency)

# (Optional) if you have multiple segments just parse it
result[['segment1', 'segment2']] = result['segment'].str.split(',', expand=True)
result.drop('segment', axis=1, inplace=True)

FUNCTION3:

Convert the count to percentage

# once the above result is obtained

# Call the count_cohort method
result_pct = cohort.to_pct(result)

# (Optional) if you have multiple segments just parse it
result[['segment1', 'segment2']] = result['segment'].str.split(',', expand=True)
result.drop('segment', axis=1, inplace=True)