Opened 8 years ago
Last modified 5 years ago
#12326 new enhancement
Add example(s) to documentation of combining Sage with matplotlib
Reported by: | kcrisman | Owned by: | jason, was |
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Priority: | minor | Milestone: | sage-6.4 |
Component: | graphics | Keywords: | matplotlib graphics sage combine |
Cc: | Merged in: | ||
Authors: | Reviewers: | ||
Report Upstream: | N/A | Work issues: | |
Branch: | Commit: | ||
Dependencies: | Stopgaps: |
Description (last modified by )
From 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.
Change History (6)
comment:1 Changed 8 years ago by
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comment:2 Changed 6 years ago by
- Milestone changed from sage-5.11 to sage-5.12
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apparently this shows how to plot using matplotlib a graph made with Sage plot command. I'm looking for the other way round: plot with Sage a matplotlib graphics (for example made by the pylab.imshow command).
Paul