deebs67's profile - activity

Actually, now I've done more experiments I realise that .show() wasn't actually helping me to control the aspect_ratio of myPlot2 within the graphics_array. I thought it did, but it was just that by default it gave me an aspect ratio close to 1.0, which by eye I assumed was exactly 1.0, but it wasn't. So I will get the aspect_ratio I ask for in the .show() operation, but it doesn't seem to influence what I get in the graphics_array.show(). As for .save(), in terms of what I see on the screen, I seem to get the same as .show(). The set_axes_range was the top tip which means that things work well enough for my purposes now without needing any myPlotx.show() statements. So thanks for that.

Thanks for that. The tip about set_axes_range allowed me to remove one of the 'myPlotx.show()' operations. Unfortunately, since I want a different aspect_ratio between the two plots, I couldn't eliminate the other.

I am trying to plot two graphics side-by side from with an '@interact' function within the Sage notebook.

I define my graphics array and render it with the appropriate size as follows:

myGraphicsArray = graphics_array([myPlot1, myPlot2])

myGraphicsArray.show(figsize=[14,5])

This is fine, but how can I control features of the individual plots separately? (e.g. axis range, aspect ratio, maybe even relative sizes of the two plots etc.)

For now I have found a kludge workaround, which is to .show() the individual plots first of all (making them very small) within which I set the relevant layout parameters as follows:

myPlot1.show(ymin=-40,ymax=10,figsize=0.1) # note small figsize

myPlot2.show(xmin=-axisMax, xmax=axisMax, ymin=-axisMax, ymax=axisMax, aspect_ratio=1, figsize=0.1) # note small figsize

This is not ideal, as it plots them (albeit small) when I didn't really want to. But at least it allows me to control their respective layouts when they later appear within the graphics_array.

But is there a better way to do this?

It seems to need a var('x,y') before the plot3d() example in the answer above (it did for me anyhow)

Can you use the plot_points option in spherical_plot3d to get a finer u,v grid?

Another great answer! Yes, this worked a treat, and avoids the residual 'shaded plane' problem I found with the 'list_plot3d()' approach described above. So this solves my problem entirely. Thanks.

Great answer! The only slight issue is that using parametric_plot3d() as you did above works fine for the sphere, but I still get the 'blocky/smoothed' problems as per a) when I try to plot my full (complicated) antenna radiation pattern in this way. This is presumably because Sage takes care of controlling the resolution, without giving me the option (??). But I can still use your 'North'+'South' trick with list_plot3d(). However, this does have the drawback that the plots also shade the x,y plane. So when I plot my full antenna radiation pattern in this way (or the sphere described above) it is bisected by a coloured plane at z=0. But other than that the problem is solved. Thanks.