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the affine matrix is calculated in the display coordinate for interpolation='none' by leejjoon · Pull Request #1150 · matplotlib/matplotlib · GitHub

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the affine matrix is calculated in the display coordinate for interpolation='none' #1150

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Merged
mdboom merged 3 commits into from
Sep 5, 2012
Conversation 5 Commits 3 Checks 0 Files changed
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the affine matrix is calculated in the display coordinate for interpolation='none' #1150

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96ac546
for interpolation='none', the affine matrix is calculated in the disp…
leejjoon Aug 27, 2012
46cd29a
Add test for #1150.
mdboom Sep 4, 2012
67eb71d
Merge pull request #3 from mdboom/fix-image-shift
leejjoon Sep 5, 2012
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13 changes: 7 additions & 6 deletions lib/matplotlib/image.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@
# the image namespace:
from matplotlib._image import *

from matplotlib.transforms import BboxBase, Bbox
from matplotlib.transforms import BboxBase, Bbox, IdentityTransform
import matplotlib.transforms as mtransforms


Expand Down Expand Up @@ -270,8 +270,8 @@ def _draw_unsampled_image(self, renderer, gc):
# firs, convert the image extent to the ic
x_llc, x_trc, y_llc, y_trc = self.get_extent()

xy = trans.transform_non_affine(np.array([(x_llc, y_llc),
(x_trc, y_trc)]))
xy = trans.transform(np.array([(x_llc, y_llc),
(x_trc, y_trc)]))

_xx1, _yy1 = xy[0]
_xx2, _yy2 = xy[1]
Expand All @@ -283,15 +283,16 @@ def _draw_unsampled_image(self, renderer, gc):
if self._image_skew_coordinate:
# skew the image when required.
x_lrc, y_lrc = self._image_skew_coordinate
xy2 = trans.transform_non_affine(np.array([(x_lrc, y_lrc)]))
xy2 = trans.transform(np.array([(x_lrc, y_lrc)]))
_xx3, _yy3 = xy2[0]

tr_rotate_skew = self._get_rotate_and_skew_transform(_xx1, _yy1,
_xx2, _yy2,
_xx3, _yy3)
trans_ic_to_canvas = tr_rotate_skew+trans.get_affine()
trans_ic_to_canvas = tr_rotate_skew
else:
trans_ic_to_canvas = trans.get_affine()
trans_ic_to_canvas = IdentityTransform()


# Now, viewLim in the ic. It can be rotated and can be
# skewed. Make it big enough.
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Binary file added lib/matplotlib/tests/baseline_images/test_image/image_shift.pdf
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206 changes: 206 additions & 0 deletions lib/matplotlib/tests/baseline_images/test_image/image_shift.svg
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15 changes: 15 additions & 0 deletions lib/matplotlib/tests/test_image.py
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Original file line number Diff line number Diff line change
Expand Up @@ -160,6 +160,21 @@ def test_no_interpolation_origin():
ax = fig.add_subplot(212)
ax.imshow(np.arange(100).reshape((2, 50)), interpolation='none')

@image_comparison(baseline_images=['image_shift'], remove_text=True,
extensions=['pdf', 'svg'])
def test_image_shift():
from matplotlib.colors import LogNorm

imgData = [[1.0/(x) + 1.0/(y) for x in range(1,100)] for y in range(1,100)]
tMin=734717.945208
tMax=734717.946366

fig = plt.figure()
ax = fig.add_subplot(111)
ax.imshow(imgData, norm=LogNorm(), interpolation='none',
extent=(tMin, tMax, 1, 100))
ax.set_aspect('auto')

if __name__=='__main__':
import nose
nose.runmodule(argv=['-s','--with-doctest'], exit=False)
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