I see that I've been immortalized on the SciPy MatPlotLib Cookbook web
page for my enquiry on plotting S- and Z-curves. The Boltzman function
serves very well for that purpose, and I've tweaked the example code to
allow me to pass in the two endpoints and the midpoint for each of these
Now I need to plot normal curves (a.k.a. Gaussian or bell curves,
depending on the background of the speaker/writer). I see that SciPy has a
class for the normal curve in its stats package, and that the curve shape is
defined by the mean and standard deviation.
My need is to draw these curves based on the midpoint (== mean) and tail
endpoints (which are not the same as the s.d.). I can copy -- or call -- the
SciPy class from my application code, but I don't know if this is the most
parsimonious approach. Your thoughts are appreciated.
These plots will be used in two different media, and it two forms. Within
the wxPython application I want to display each curve on one panel, and the
set of curves related to one linguistic variable on a second panel. Then I
need to have the set incorporated into a ReportLab report in .pdf.
Richard B. Shepard, Ph.D. | Integrity Credibility
Applied Ecosystem Services, Inc. | Innovation
<http://www.appl-ecosys.com> Voice: 503-667-4517 Fax: 503-667-8863