Control charts are really useful tools to help you understand how 'in control your process is' so you can help make process changes based on evidence, rather than bullshit.

You can read the docs about the library and control charts here.

To install the latest release from (PyPI)[https://pypi.python.org/pypi/spcchart]

    $ pip install spcchart

To install the latest development version from (GitHub)[https://github.com/bwghughes/spc]

    $ pip install git+git:https://github.com/bwghughes/spc.git

pip install spcchart

and run:

spcchart --data=32,45,65,667,767,78,887,879,99,98,98,98 --title="I can see now"

and hip hip hooray, an svg will be placed in your current working directory. Open with any browser and you're away.

>>> from spcchart import SpcChart
>>> data = [1,2,3,4,5,6,7,8,9,8,7,6,5,5,5,4,4,3,3,2,2,2,3,4,5,5,5]
>>> c = SpcChart(data, title="Flow Ho")
>>> c.render()

• Factor out numpy - its a bit overkill.
• Add themes to charts