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Fix mplot3d projection#16472

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,9 @@
``Axes3D`` no longer distorts the 3d plot to match the 2d aspect ratio
----------------------------------------------------------------------

Plots made with :class:`~mpl_toolkits.mplot3d.axes3d.Axes3D` were previously
stretched to fit a square bounding box. As this stretching was done after
the projection from 3D to 2D, it resulted in distorted images if non-square
bounding boxes were used.

As of this release, this no longer occurs.
6 changes: 3 additions & 3 deletionslib/matplotlib/axes/_base.py
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Expand Up@@ -1499,9 +1499,9 @@ def apply_aspect(self, position=None):
"""
Adjust the Axes for a specified data aspect ratio.

Depending on `.get_adjustable` this will modify either the Axes box
(position) or the view limits. In the former case, `.get_anchor`
will affect the position.
Depending on `.get_adjustable` this will modify either the
Axes box(position) or the view limits. In the former case,
`~matplotlib.axes.Axes.get_anchor`will affect the position.

Notes
-----
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21 changes: 19 additions & 2 deletionslib/mpl_toolkits/mplot3d/axes3d.py
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Expand Up@@ -255,6 +255,20 @@ def tunit_edges(self, vals=None, M=None):
(tc[7], tc[4])]
return edges

def apply_aspect(self, position=None):
if position is None:
position = self.get_position(original=True)

# in the superclass, we would go through and actually deal with axis
# scales and box/datalim. Those are all irrelevant - all we need to do
# is make sure our coordinate system is square.
figW, figH = self.get_figure().get_size_inches()
fig_aspect = figH / figW
box_aspect = 1
pb = position.frozen()
pb1 = pb.shrunk_to_aspect(box_aspect, pb, fig_aspect)
self.set_position(pb1.anchored(self.get_anchor(), pb), 'active')

@artist.allow_rasterization
def draw(self, renderer):
# draw the background patch
Expand DownExpand Up@@ -950,6 +964,9 @@ def get_proj(self):

dist is the distance of the eye viewing point from the object point.
"""
# chosen for similarity with the initial view before gh-8896
pb_aspect = np.array([4, 4, 3]) / 3.5

relev, razim = np.pi * self.elev/180, np.pi * self.azim/180

xmin, xmax = self.get_xlim3d()
Expand All@@ -959,10 +976,10 @@ def get_proj(self):
# transform to uniform world coordinates 0-1, 0-1, 0-1
worldM = proj3d.world_transformation(xmin, xmax,
ymin, ymax,
zmin, zmax)
zmin, zmax, pb_aspect=pb_aspect)

# look into the middle of the new coordinates
R =np.array([0.5, 0.5, 0.5])
R =pb_aspect / 2

xp = R[0] + np.cos(razim) * np.cos(relev) * self.dist
yp = R[1] + np.sin(razim) * np.cos(relev) * self.dist
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16 changes: 14 additions & 2 deletionslib/mpl_toolkits/mplot3d/proj3d.py
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Expand Up@@ -30,8 +30,20 @@ def _line2d_seg_dist(p1, p2, p0):

def world_transformation(xmin, xmax,
ymin, ymax,
zmin, zmax):
dx, dy, dz = (xmax-xmin), (ymax-ymin), (zmax-zmin)
zmin, zmax, pb_aspect=None):
"""
produce a matrix that scales homogenous coords in the specified ranges
to [0, 1], or [0, pb_aspect[i]] if the plotbox aspect ratio is specified
"""
dx = xmax - xmin
dy = ymax - ymin
dz = zmax - zmin
if pb_aspect is not None:
ax, ay, az = pb_aspect
dx /= ax
dy /= ay
dz /= az

return np.array([[1/dx, 0, 0, -xmin/dx],
[0, 1/dy, 0, -ymin/dy],
[0, 0, 1/dz, -zmin/dz],
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Binary file modifiedlib/mpl_toolkits/tests/baseline_images/test_mplot3d/lines3d.png
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