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)
Release files for fabcohort 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fabcohort-0.3.1.tar.gz | 3.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fabcohort-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 kB
Release files / fabcohort-0.3.1.tar.gz
| Download URL | fabcohort-0.3.1.tar.gz |
|---|---|
| Size | 3.1 kB |
| Tags | Source |
|
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Release files / fabcohort-0.3.1-py3-none-any.whl
| Download URL | fabcohort-0.3.1-py3-none-any.whl |
|---|---|
| Size | 3.1 kB |
| Tags | Python 3 |
|
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