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 lots more about control charts here.
You can read the docs about the library here.
Or, just call the service URL with your data:
http://spc.io/?data=1,2,3,4,5,6,7,8,9,10&ouput=png and it will send back something like this:
>>> 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