Hello N�stor,
I think precisely this use case has been documented in
http://pyx.sourceforge.net/examples/graphs/join.html
HTH,
J�rg
On 15.04.13, Néstor Espinoza wrote:
> Hello everyone,
>
> I have a 'small' question regarding the combination of legends. Suppose I
> have a model, and the binned version of it in two vectors, say, model,
> with the corresponding values for x, x_model and binned_model with the
> corresponding values of x, x_binned_model.
> What I want to do is to plot this using pyx, but, in the legend, combine
> the symbol I use for the binned version of the model with the model
> itself, which I plot as a line. So I have something like the following
> code:
>
> #########################################
> from pyx import *
> from numpy import np
> # Create a model
> x = np.array([0,1,2,3,4,5,6])
> model = x**2
> # Bin two values; 0.5, binned between 0 and 1, and 4.5, binned between 4
> and 5:
> x_binned_model = np.array([0.5,4.5])
> x_binned_model = np.array([0.33,20.33])
> c = canvas.canvas()
> g = c.insert(graph.graphxy(height=5,width=10,
> key=graph.key.key(pos='bl'),\
> x = graph.axis.linear(title = 'x axis'),\
> y = graph.axis.linear(title = 'y axis')))
> # Plot 'full version' of the model:
> g.plot(graph.data.values(x=x_model,y=model, title = 'The model',\
> styles = [graph.style.line([color.cmyk.CornflowerBlue,\
> style.linestyle.solid,\
> style.linewidth.THIN])])
> # ...binned version of the model:
> g.plot(graph.data.values(x=x_binned_model, y=binned_model, title = 'The
> model'),\
> styles =
> [graph.style.symbol(graph.style.symbol.square,symbolattrs =
> [deco.filled([color.cmyk.CornflowerBlue]),
> deco.stroked([color.cmyk.CornflowerBlue])],size = 0.1)])
> c.writePDFfile("Figure")
> #########################################
>
> So when you plot it, you have two legends: one with a line for the model
> and one with squares for the bined model: is there a way to combine the
> two and just have one legend, with the line and the square overplotted on
> it?
> Cheers
> --
> N�stor
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analytics on semi-structured data. The platform includes APIs for building
apps and a phenomenal toolset for data science. Developers can use
our toolset for easy data analysis & visualization. Get a free account!
http://www2.precog.com/precogplatform/slashdotnewsletter
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