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Backport PR #18500 on branch v3.3.x (BUG: Fix all-masked imshow) #18504

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Merged
merged 1 commit into from
Sep 17, 2020
Merged

Backport PR #18500 on branch v3.3.x (BUG: Fix all-masked imshow) #18504

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6 changes: 4 additions & 2 deletions lib/matplotlib/image.py
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Original file line number Diff line number Diff line change
Expand Up @@ -474,8 +474,10 @@ def _make_image(self, A, in_bbox, out_bbox, clip_bbox, magnification=1.0,
# do not run the vmin/vmax through the same pipeline we can
# have values close or equal to the boundaries end up on the
# wrong side.
vrange = np.array([self.norm.vmin, self.norm.vmax],
dtype=scaled_dtype)
vmin, vmax = self.norm.vmin, self.norm.vmax
if vmin is np.ma.masked:
vmin, vmax = a_min, a_max
vrange = np.array([vmin, vmax], dtype=scaled_dtype)

A_scaled -= a_min
vrange -= a_min
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8 changes: 8 additions & 0 deletions lib/matplotlib/tests/test_image.py
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Expand Up @@ -846,6 +846,14 @@ def test_mask_image():
ax2.imshow(A, interpolation='nearest')


def test_mask_image_all():
# Test behavior with an image that is entirely masked does not warn
data = np.full((2, 2), np.nan)
fig, ax = plt.subplots()
ax.imshow(data)
fig.canvas.draw_idle() # would emit a warning


@image_comparison(['imshow_endianess.png'], remove_text=True)
def test_imshow_endianess():
x = np.arange(10)
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