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#1674 is not entirely fixed. I got a flipped svg using imshow() with origin='lower'. The snippet at the bottom reproduces the issue with the current master branch. This problem was introduced between v1.1.1 and v1.2.0rc3.
I dug the issue a bit deeper, and found that 1c9f9b5 introduced the issue. The commit seems a performance tweak for nearest neighbor scaling in a certain condition. Reverting 1c9f9b5 and 8c25664 fixes the issue.
I suggest to revert both commits, but to keep the test cases introduced in 8c25664. @mdboom, is this ok for you to revert 1c9f9b5 for now?
import matplotlib.pyplot as plt
import numpy as np
# Use default configuration.
plt.matplotlib.rcdefaults()
# Data
X, Y = np.meshgrid(np.arange(-5, 5, 1), np.arange(-5, 5, 1))
Z = np.sin(Y**2)
plt.rcParams['svg.image_noscale'] = False
plt.figure()
plt.imshow(Z, cmap='gray', origin='upper')
plt.savefig('upper.svg')
plt.rcParams['svg.image_noscale'] = True
plt.figure()
plt.imshow(Z, cmap='gray', origin='upper')
plt.savefig('upper_noscale.svg')
plt.rcParams['svg.image_noscale'] = False
plt.figure()
plt.imshow(Z, cmap='gray', origin='lower')
plt.savefig('lower.svg')
plt.rcParams['svg.image_noscale'] = True
plt.figure()
plt.imshow(Z, cmap='gray', origin='lower')
plt.savefig('lower_noscale.svg')Metadata
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