Skip to main content

effectus tells you which minority of causes provokes which majority of effects.

Project description

Pypi version Python versions Windows Built Status Code coverage

What?

You provide it with a series of numbers. It tells you whether a pareto distribution is present.

Why?

Mean, Median and Most likely value regularly hide that a minority of causes provokes a majority of effects.

How?

First, install it:

$ pip3 install effectus

Then, in your Python shell do:

from effectus.core import make_summary
make_summary([789, 621, 109, 65, 45, 30, 27, 15, 12, 9])
{'causes': '1/5',
 'effects': '4/5',
 'pareto': True,
 'ratio': 0.707,
 'variability': 0.02}

If you want 80% of results, you need only 20% of causes.

» Documentation

Project details


Download files

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

Source Distribution

effectus-1.0.0.dev1.tar.gz (16.1 kB view hashes)

Uploaded Source

Built Distribution

effectus-1.0.0.dev1-py2.py3-none-any.whl (207.2 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page