On Tue, 25 Mar 2008, Joerg Lehmann wrote:

The problem is that with PyX you have to wrap your data (either functions,
lists or files) in certain data provider classes, e.g.

  g.plot(graph.data.function("y(x)=sin(x)")
or
  g.plot(graph.data.values(x=[1,2,3], y=[1,4,9]))

Jörg,

  Ah, that's what I thought. And, you answered my question to David
regarding this.

As pointed out by David, have a look at the examples on the webpage,
in particular:

       http://pyx.sourceforge.net/examples/graphs/function.html

  I did look at this, but did not see how to apply it to my needs.

Note furthermore that when plotting "non-standard" mathematical functions,
especially functions you have defined yourself, you have to tell the data
class under which name you want to access them, e.g.

 def f(x):
     # calculate result y
    return y

 g.plot(graph.data.function("y(x)=f(x)", context={"f": f}))

  This is what I did not fully understand how to write.

Finally, as a side remark: Try to start with a reduced version of your
code and build the more complex version only after the simple parts work.
Especially when asking for help on this list, post a minimal example in
order to allow people to quickly identify what's going on.

  Makes sense. I had isolated code and a few data tuples (from a collection
of about 360). But, I'll take it one function at a time. Will start with the
logistic curves. I'll probably have questions, but they'll be on a smaller
code base and just a single data set.

Thanks,

Rich

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