On Fri, Mar 30, 2012 at 12:25 PM, eoj <josephmeir...@gmail.com> wrote:
>
> Basically the problem is like this. I have a relatively expensive (time
> wise)
> figure to create, specifically a map with lots of detail in it. On top of
> that, I'm making an inset set of axes to highlight some regions. I'm
> having
> to recreate the base of the map, which is static, every time I want to make
> an inset for a different region which is taking forever. What I want to do
> is something like this:
>
> fig = figure()
>
> #do stuff that makes the expensive figure
>
> for region in regions:
> fig2 = copy.copy(fig)
> ax2 = fig.add_axes([0.1, 0.15, 0.25, 0.25])
> ax2.fill(x1,y1)
> savefig(region_name)
> close()
>
>
>
> The problem is that the clf() clear figure function seems to clear the base
> of the map off, even if I try to make a copy of it inside a loop that is
> generating the insets. Also, close() seems to close fig and not fig2. Does
> this rambling make any sense, and if so, any suggestions?
>
>
If all your additions are confined to the inset axes, you can use
`fig.delaxes` to remove the axes from the figure (see example below). If
you want to save and restore, as you describe above, you should (in
principal) be able to do so with `canvas.copy_from_bbox` and
`canvas.restore_region`, but I couldn't get it to work (see bottom of the
animation cookbook <http://www.scipy.org/Cookbook/Matplotlib/Animations>).
Cheers,
-Tony
# ~~~ example
import numpy as np
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.imshow(np.random.uniform(size=(10, 10)))
ax_inset = fig.add_axes([0.3, 0.3, 0.2, 0.2])
ax_inset.plot([0, 1])
plt.savefig('plot0')
fig.delaxes(ax_inset)
ax_inset = fig.add_axes([0.5, 0.5, 0.2, 0.2])
ax_inset.plot([1, 0])
plt.savefig('plot1')
# ~~~
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