#12326: Add example(s) to documentation of combining Sage with matplotlib
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Reporter: kcrisman | Owner: jason, was
Type: enhancement | Status: new
Priority: minor | Milestone: sage-5.0
Component: graphics | Keywords: matplotlib graphics sage combine
Work_issues: | Upstream: N/A
Reviewer: | Author:
Merged: | Dependencies:
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Description changed by kcrisman:
Old description:
> From [http://ask.sagemath.org/question/703/combine-sage-plot-with-
> matplotlib?answer=1734#1734 this ask.sagemath.org answer], an interesting
> sort of example (maybe could be spruced a little) which could be useful
> in the documentation for plotting.
> {{{
> #make some graphs
> x=var('x')
> g=plot(sin(x))
> g_ins=plot(cos(x))
> # plot main figure
> from matplotlib.figure import Figure
> figure = Figure()
> main_plot = figure.add_axes((0.2,0.2,0.7,0.7))
> g.matplotlib('a.svg', figure=figure, sub=main_plot)
> # plot an inset
> inset = figure.add_axes((0.6,0.2,0.3,0.3))
> g_ins.matplotlib('a.svg', figure=figure, sub=inset)
> # display graph (note that only single sage Graphics object has to be
> saved )
> g_ins.save('a.svg', figure=figure, sub=inset)
> }}}
> The user says
> >For some time, I was looking for a way how to generate several sage
> Graphics() objects
> >and plot them on a matplotlib canvas in an arbitrary arrangement, using
> .matplotlib()
> >function. It went out not being straightforward. I decided that the
> solution I've found
> >may be interesting for others as well.
New description:
From [http://ask.sagemath.org/question/703/combine-sage-plot-with-
matplotlib?answer=1734#1734 this ask.sagemath.org answer], an interesting
sort of example (maybe could be spruced a little) which could be useful in
the documentation for plotting.
{{{
#make some graphs
x=var('x')
g=plot(sin(x))
g_ins=plot(cos(x))
# plot main figure
from matplotlib.figure import Figure
figure = Figure()
main_plot = figure.add_axes((0.2,0.2,0.7,0.7))
g.matplotlib('a.svg', figure=figure, sub=main_plot)
# plot an inset
inset = figure.add_axes((0.6,0.2,0.3,0.3))
g_ins.matplotlib('a.svg', figure=figure, sub=inset)
# display graph (note that only single sage Graphics object has to be
saved )
g_ins.save('a.svg', figure=figure, sub=inset)
UPD: if figures are drawn strangely, add
aspect_ratio='automatic'
to matplotlib() parameters. By default it is 1.0, which may be undesired.
Also, you may want to draw the figure itself, not by Graphics().save()
function. Replace the last line with the following:
from matplotlib.backends.backend_agg import FigureCanvasAgg
figure.set_canvas(FigureCanvasAgg(figure))
figure.savefig('a.svg')
}}}
The user says
>For some time, I was looking for a way how to generate several sage
Graphics() objects
>and plot them on a matplotlib canvas in an arbitrary arrangement, using
.matplotlib()
>function. It went out not being straightforward. I decided that the
solution I've found
>may be interesting for others as well.
--
--
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/12326#comment:1>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica,
and MATLAB
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