Hi Michael,
Am 09.06.2008 um 10:06 schrieb Michael J Gruber:
> g = graph.graphxyz(size=1.5)
> g.plot(graph.data.functionxy("z(x,y)=x**2+y**2", xmin=-1, xmax=1,
> ymin=-1, ymax=1, points=25), [graph.style.surface()] )
In our current naming scheme it should either read:
g.plot(graph.data.function("z(x,y)=x**2+y**2", xmin=-1, xmax=1,
ymin=-1, ymax=1, points=25), [graph.style.surface()] )
or
g.plot(graph.data.functionxyz("x**2+y**2", xmin=-1, xmax=1, ymin=-1,
ymax=1, points=25), [graph.style.surface()] )
(Sure, one could argue why we don't spell it functionzxy, but we did
use function xyz as this sounds more natural -- to me.)
But back to the problem. Somehow you use xmin ymin xmax ymax making x
and y some special names. This is against all rules. PyX would use
min1, min2, max1, max2. And here you already see that we're back at
the multi-dimensionality of function which is something new. Somehow
it's a twodfunction ... which is something different than function.
I'm fine with adding such a code to the PyX core. We basically just
need a good name. Somehow it's a grid ... or a gridfunction or what???
Ideas???
> I don't know the underlying grid and hidden surface code. But I
> noticed
> that it's difficult to produce e.g. a sphere by providing the points
> in
> an obvious way (using a regular grid "in spherical coordinates").
I thought about this at your first posting too. It's not that easy.
> I really appreciate the possibility to use my own grid, you're
> right. In
> fact I thought about submitting a simple example which shows how
> powerful PyX is in this regard.
We definitely want that! :-)
> I just thought that having a simple method for "standard" 3D surface
> plots would be nice, at least for the people who use PyX for
> illustrations of text books/homework sheets and the like, where your
> input consists of "advanced functions" like the one above, not numbers
> crunched by your programmes.
>
> Even for 2D plots a non-standard grid can help, and one could argue
> for
> the removal of the standard graph.data.function(). Maybe one should
> just
> use numpy or something similar rather than the cumbersome
>
> xs = [ xmin+i*(xmax-xmin)/(N-1) for i in range(N) ]
> ps = [ [x,f(x)] for x in xs ]
>
> and similar for 3D.
I think there is plenty of room to make some fancy data providers for
PyX (and I want function to become much more advanced in that
respect), but at the same time it's absolutely appreciated to make
clever uses of PyX + numpy or whatever else. It would not even render
your example "exotic" in the respect that I would reject it for the
examples page. Indeed it's the other way around: I would be happy to
have one (basic) and some advanced examples in that respect. No
problem, really!
André
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