Sep 5, 2012 · Aug 27, 2012 · Sep 4, 2012 · Sep 5, 2012
diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
 # 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


        # 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]
        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.
diff --git a/lib/matplotlib/tests/baseline_images/test_image/image_shift.pdf b/lib/matplotlib/tests/baseline_images/test_image/image_shift.pdf
diff --git a/lib/matplotlib/tests/baseline_images/test_image/image_shift.svg b/lib/matplotlib/tests/baseline_images/test_image/image_shift.svg
diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
    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)
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 DownExpand 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.
Expand Down
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)