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FIX: pcolor/pcolormesh honour edgecolors kwarg when facecolors is set 'none' #12226

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FIX: pcolor/pcolormesh honour edgecolors kwarg when facecolors is set 'none' #12226

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14 changes: 14 additions & 0 deletions lib/matplotlib/axes/_axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5789,6 +5789,13 @@ def pcolor(self, *args, alpha=None, norm=None, cmap=None, vmin=None,
corners = (minx, miny), (maxx, maxy)
self.update_datalim(corners)
self.autoscale_view()
# The following block of code addresses github issue #1302
for face_color in ['facecolor', 'facecolors']:
try:
if kwargs.get(face_color).lower() == 'none':
collection._is_stroked = False
except AttributeError:
pass
return collection

@_preprocess_data(label_namer=None)
Expand Down Expand Up @@ -6002,6 +6009,13 @@ def pcolormesh(self, *args, alpha=None, norm=None, cmap=None, vmin=None,
corners = (minx, miny), (maxx, maxy)
self.update_datalim(corners)
self.autoscale_view()
# The following block of code addresses github issue #1302
for face_color in ['facecolor', 'facecolors']:
try:
if kwargs.get(face_color).lower() == 'none':
collection._is_stroked = False
except AttributeError:
pass
return collection

@_preprocess_data(label_namer=None)
Expand Down
16 changes: 16 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 @@ -922,3 +922,19 @@ def test_relim():
ax.relim()
ax.autoscale()
assert ax.get_xlim() == ax.get_ylim() == (0, 1)


def test_edgefacecolor_pcolor_pcolormesh():
# Test that pcolor/pcolormesh honours edgecolors kwarg when facecolors
# is set to 'none' (github issue #1302 and fixed by PR #12226).
fig, ax = plt.subplots(2)
im0 = ax[0].pcolor(np.arange(12).reshape(4, 3),
edgecolors='red', facecolors='none')
im1 = ax[1].pcolormesh(np.arange(12).reshape(4, 3),
edgecolors='red', facecolors='none')
# triggering draw() to make sure that the edges of the mesh are drawn.
fig.canvas.draw()
np.testing.assert_equal(im0.get_edgecolors(),
np.array([[1., 0., 0., 1.]]))
np.testing.assert_equal(im1.get_edgecolors(),
np.array([[1., 0., 0., 1.]]))