I think this is just a vanilla bug that set_clip_on is being ignored for
collections. That patch is rather straightforward.
Other developers: do you agree this should be fixed, or is there a good
reason for current behavior that I'm missing?
Cheers,
Mike
Index: lib/matplotlib/collections.py
===================================================================
--- lib/matplotlib/collections.py (revision 7486)
+++ lib/matplotlib/collections.py (working copy)
@@ -207,8 +207,7 @@
transform, transOffset, offsets, paths = self._prepare_points()
gc = renderer.new_gc()
- gc.set_clip_rectangle(self.get_clip_box())
- gc.set_clip_path(self.get_clip_path())
+ self._set_gc_clip(gc)
renderer.draw_path_collection(
gc, transform.frozen(), paths, self.get_transforms(),
@@ -1211,8 +1210,7 @@
transOffset = transOffset.get_affine()
gc = renderer.new_gc()
- gc.set_clip_rectangle(self.get_clip_box())
- gc.set_clip_path(self.get_clip_path())
+ self._set_gc_clip(gc)
if self._shading == 'gouraud':
triangles, colors = self.convert_mesh_to_triangles(
jason-s...@creativetrax.com wrote:
> On this thread:
>
> http://www.mail-archive.com/matplotlib-devel@lists.sourceforge.net/msg05383.html
>
> clip_on was a suggested way of getting around the clipping that happens
> at the edge of a frame. In the Sage project, we are always setting the
> limits on the axes via set_xlim and set_ylim. Is there any way to get
> the lines and circles that pass across the edge of the usual clip
> boundary to still be drawn, even if we have set the xlim and ylim of the
> axis?
>
> Basically (using an example from the gallery), is there a way to get the
> scatter plot circles below not clipped, while still having the y-axis
> only go from -2 to 2? If not, is there a way to easily calculate the
> protrusion of the various objects, like the circles below, so we know
> how much to adjust the axes to just include the circles?
>
> import matplotlib.pyplot as plt
> import numpy as np
> fig = plt.figure()
> x = np.linspace(0r,2*np.pi,100r)
> y = 2*np.sin(x)
> ax = fig.add_subplot(1,1,1)
> q=ax.scatter(x,y)
> ax.set_ylim([-2,2])
> q.set_clip_on(False)
> ax.set_clip_on(False)
> ax.spines['left'].set_position(('outward',10))
> ax.spines['bottom'].set_position(('outward',10))
> ax.spines['top'].set_color('none')
> ax.spines['right'].set_color('none')
> ax.xaxis.set_ticks_position('bottom')
> ax.yaxis.set_ticks_position('left')
> fig.savefig('test.png')
>
> Thanks,
>
> Jason
>
>
>
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--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA
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