And here's the attachment :)
On 30.08.13, André Wobst wrote:
> Hi,
>
> I like the code, and I think it is a useful example. So yes, I agree, it is a
> good example or gallery contribution. I'm slightly addicted to make it an
> example.
>
> Regarding the issue with the decorated path not being stroked nor filled, the
> solution is rather simple. You can set the lineattr to None to skip stroking.
> This is a common way to turn off an output in the graph while all work
> related to generating the output is still in place (thus the path for the
> line is still generated).
>
> I favor to keep the error in the decorated path. While I could slightly
> simplify some graph code, it is still strange to draw a path without actually
> creating output. In addition, would this "output" still contribute to the
> bounding box or not?! And last but not least, take the regular user, who
> might accidentally call draw without a stroke or fill decorator. I prefer to
> raise an error for that case. This code was written with Jörg and me together
> (IIRC), and I'm pretty sure we discussed the pro and contra and putted the
> exception on purpose in the end.
>
> Best,
>
>
> André
>
>
> Am 30.08.2013 um 12:00 schrieb Joerg Lehmann:
>
> > Hi Michael,
> >
> > First of all, I think this is something that would also be useful for
> > the examples or the gallery.
> >
> > Your code can be simplified a bit though, because the << operator
> > (respectively PS/PDF) will add straight lines automatically and the
> > closepath is automatically done while filling.
> >
> > Concerning the second graph: We should find a way that this is not
> > necessary. In principle, there already is deco.stroked.clear, which
> > prevents stroking of the path. See my attached new version.
> >
> > However, this currently does not work because PyX will complain about
> > the fact that the path is neither stroked nor filled. This is an
> > explicit check, we could remove (see line 237 in the latest
> > pyx/deco.py). André, what do you think?
> >
> > Cheers,
> >
> > Jörg
> >
> > On 29.08.13, Michael SCHINDLER wrote:
> >> Hello Néstor,
> >>
> >> On 28/08/13, Néstor Espinoza wrote:
> >>> I'm trying to draw confidence bands around some model data-points that I
> >>> have and I think the tutorials that I've read so far that paint areas
> >>> below
> >>> curves are not what I'm looking for (e.g.,
> >>> http://pyx.sourceforge.net/gallery/graphs/integral.html), because in order
> >>> to paint areas between curves with those methods (i.e., by the method
> >>> suggested in this same mailist here:
> >>> http://osdir.com/ml/python.pyx.users/2008-07/msg00002.html), the trick is
> >>> to paint white below the second curve.
> >>
> >> I am not quite sure to understand what you want to do. If it is just
> >> to visualize the confidence of the data, you could use simple error
> >> bars (http://pyx.sourceforge.net/examples/graphstyles/errorbar.html).
> >> I you want it more fancy with a shaded area, the principle is the same
> >> as in the integral example: You take out the paths from the graph, and
> >> those can be manipulated (glued together, split, ...). If this latter
> >> step makes problems, have a look at the joint example.
> >>
> >>> Basically in my code I have three vectors, model, model_down and model_up.
> >>> The idea is to plot the confidence bands between the curves model_down and
> >>> model_up (which represent my confidence bads) and plot model as datapoints
> >>> on top: do you have any idea on how to do this?
> >>
> >> Best,
> >> Michael
> >>
> >
> >> import sys, os
> >> sys.path.insert(0, os.path.expanduser("~/python/PyX-0.12.1"))
> >> import pyx
> >> print pyx.version.version # need 0.12 for canvas layers
> >> from pyx import *
> >>
> >> N = 30
> >> xs = [10.0 * i/(N-1) for i in range(N)]
> >> model = [(x-3)*(x-5)*(x-7) for x in xs]
> >> model_upp = [y + 10 for y in model]
> >> model_low = [y - 10 for y in model]
> >>
> >> g = graph.graphxy(width=10,
> >> x=graph.axis.linear(title="$x$"),
> >> y=graph.axis.linear(title="$y$"))
> >> g.plot(graph.data.values(x=xs, y=model))
> >> # we need another (identical) graph to avoid plotting lines around the
> >> confidence area:
> >> h = graph.graphxy(width=10, x=graph.axis.linkedaxis(g.axes["x"]),
> >> y=graph.axis.linkedaxis(g.axes["y"]))
> >> dupp = h.plot(graph.data.values(x=xs, y=model_upp), [graph.style.line()])
> >> dlow = h.plot(graph.data.values(x=xs, y=model_low), [graph.style.line()])
> >> h.doplot()
> >>
> >> upp = dupp.path.reversed()
> >> low = dlow.path
> >> x0, y0 = low.atend()
> >> x1, y1 = upp.atbegin()
> >> connect1 = path.line(x0, y0, x1, y1)
> >>
> >> area = low << connect1 << upp
> >> area.append(path.closepath())
> >>
> >> g.layer("filldata").draw(area, [deco.filled([color.gray(0.8)])])
> >> g.writePDFfile("mini")
> >>
> >
> >> ------------------------------------------------------------------------------
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> >
> >> _______________________________________________
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> >> [email protected]
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> >
> > <mini2.py>------------------------------------------------------------------------------
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>
> --
> by _ _ _ Dr. André Wobst, Amselweg 22, 85716 Unterschleißheim
> / \ \ / ) [email protected], http://www.wobsta.de/
> / _ \ \/\/ / PyX - High quality PostScript and PDF figures
> (_/ \_)_/\_/ with Python & TeX: visit http://pyx.sourceforge.net/
>
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from pyx import *
N = 30
xs = [10 * i/(N-1) for i in range(N)]
model = [(x-3)*(x-5)*(x-7) for x in xs]
model_upp = [y + 10 for y in model]
model_low = [y - 10 for y in model]
g = graph.graphxy(width=10,
x=graph.axis.linear(title="$x$"),
y=graph.axis.linear(title="$y$"))
g.plot(graph.data.values(x=xs, y=model))
# add upper and lower boundaries to the graph, but do not actually plot them
dupp, dlow = g.plot([graph.data.values(x=xs, y=model_upp),
graph.data.values(x=xs, y=model_low)],
[graph.style.line(lineattrs=None)])
g.doplot() # finish plotting to make paths available
area = dlow.path << dupp.path.reversed()
g.layer("filldata").fill(area, [color.gray(0.8)])
g.writePDFfile()
------------------------------------------------------------------------------
Learn the latest--Visual Studio 2012, SharePoint 2013, SQL 2012, more!
Discover the easy way to master current and previous Microsoft technologies
and advance your career. Get an incredible 1,500+ hours of step-by-step
tutorial videos with LearnDevNow. Subscribe today and save!
http://pubads.g.doubleclick.net/gampad/clk?id=58040911&iu=/4140/ostg.clktrk
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