statprocon 0.0.4

A Python helper library for generating Process Behaviour Charts

statprocon

statprocon is a Python helper library for generating data for use in Statistical Process Control charts. SPC charts are also known as Process Behaviour Charts, Control charts or Shewhart charts.

Installation

pip install statprocon

Usage

from statprocon import XmR

counts = [10, 50, 40, 30]

xmr = XmR(counts)
moving_ranges = xmr.moving_ranges()
unpl = xmr.upper_natural_process_limit()
lnpl = xmr.lower_natural_process_limit()
x_bar = xmr.x_average()

url = xmr.upper_range_limit()
mr_bar = xmr.mr_average()

Currently, this library only supports the data for generating an XmR chart. An XmR chart is the simplest type of process behaviour chart. XmR is short for individual values (X) and a moving range (mR). More chart data options can be added via pull requests.

For more information, I invite you to read Making Sense of Data by Donald Wheeler.

Dependencies

There are a few other Python libraries for generating SPC charts but they all contain large dependencies in order to include the ability to graph the chart. This package will remain small and light and not require large dependencies. The user will need to convert the data into charts on their own.

This package also contains extensive tests for verifying the integrity of the calculated data.

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Development

Create virtualenv

python3 -m venv venv

Activate virtualenv

source venv/bin/activate

Build

python -m build

Upload

python -m twine upload dist/*

Testing

Install package from source

python3 -m pip install .

Run tests

python3 -m unittest discover