8000 Optimize 3D display by AlexandreAbraham · Pull Request #6085 · matplotlib/matplotlib · GitHub
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Optimize 3D display #6085

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Optimize 3D display #6085

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a4a8a86
Replace lists by numpy array in projection
AlexandreAbraham Feb 29, 2016
3d295af
Remove profiling code
AlexandreAbraham Feb 29, 2016
5239e1a
Vectorize output of proj_transform_vec
AlexandreAbraham Feb 29, 2016
7285fed
Reach vectorized projection functions directly
AlexandreAbraham Feb 29, 2016
328c2f4
Address comments
AlexandreAbraham Mar 2, 2016
a973da8
More fixes
AlexandreAbraham Mar 3, 2016
14853d0
Fix rotation of axes
AlexandreAbraham Mar 3, 2016
c4de047
Fix some failures
AlexandreAbraham Jun 8, 2016
6315961
Use a contiguous representation in memory and views for the segments
AlexandreAbraham Jun 8, 2016
bb948bb
Fix bug in PathPatch
AlexandreAbraham Sep 20, 2016
8000 e6211bd
Fix vstack bug
AlexandreAbraham Sep 20, 2016
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@AlexandreAbraham
AlexandreAbraham committed Jun 8, 2016
commit a973da8086e5f1607646087535da49b081669d8b
2 changes: 1 addition & 1 deletion lib/mpl_toolkits/mplot3d/art3d.py
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Expand Up @@ -261,7 +261,7 @@ def __init__(self, *args, **kwargs):
self.set_3d_properties(zs, zdir)

def set_3d_properties(self, verts, zs=0, zdir='z'):
verts = np.vstack([verts, np.ones(len(verts)) * zs])
verts = np.hstack([verts, np.ones((len(verts), 1)) * zs])
self._segment3d = juggle_axes_vec(verts, zdir)
self._facecolor3d = Patch.get_facecolor(self)

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2 changes: 1 addition & 1 deletion lib/mpl_toolkits/mplot3d/axes3d.py
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Expand Up @@ -2340,7 +2340,7 @@ def bar(self, left, height, zs=0, zdir='z', *args, **kwargs):
if 'alpha' in kwargs:
p.set_alpha(kwargs['alpha'])

verts = np.vstack(verts, verts_zs)
verts = np.hstack([verts, np.asarray(verts_zs)[:, np.newaxis]])

xs, ys, verts_zs = art3d.juggle_axes_vec(verts, zdir)
self.auto_scale_xyz(xs, ys, verts_zs, had_data)
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3 changes: 1 addition & 2 deletions lib/mpl_toolkits/mplot3d/proj3d.py
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Expand Up @@ -162,8 +162,7 @@ def proj_transform_vec(vec, M):
def proj_transform_vec_clip(vec, M):
vecw = np.dot(M, vec)
# Determine clipping before rescaling
tis = np.logical_and(vecw[0] >= 0, vecw[0] <= 1,
vecw[1] >= 0, vecw[1] <= 1)
tis = (vecw[0] >= 0) * (vecw[0] <= 1) * (vecw[1] >= 0) * (vecw[1] <= 1)
# clip here..
# Can anybody comment on this piece of code? I don't understand it...
if np.sometrue(tis):
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