@@ -57,29 +57,11 @@ def test_zordered_error():
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def test_generate_normals ():
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-
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- # Following code is an example taken from
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- # https://stackoverflow.com/questions/18897786/transparency-for-poly3dcollection-plot-in-matplotlib
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- # and modified to test _generate_normals function
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+ # Smoke test for https://github.com/matplotlib/matplotlib/issues/29156
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+ vertices = ((0 , 0 , 0 ), (0 , 5 , 0 ), (5 , 5 , 0 ), (5 , 0 , 0 ))
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+ shape = Poly3DCollection ([vertices ], edgecolors = 'r' , shade = True )
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fig = plt .figure ()
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- ax = fig .add_subplot (111 , projection = '3d' )
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-
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- x = [0 , 2 , 1 , 1 ]
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- y = [0 , 0 , 1 , 0 ]
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- z = [0 , 0 , 0 , 1 ]
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-
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- # deliberately use nested tuple
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- vertices = ((0 , 1 , 2 ), (0 , 1 , 3 ), (0 , 2 , 3 ), (1 , 2 , 3 ))
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-
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- tupleList = list (zip (x , y , z ))
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-
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- poly3d = [[tupleList [vertices [ix ][iy ]] for iy in range (len (vertices [0 ]))]
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- for ix in range (len (vertices ))]
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- ax .scatter (x , y , z )
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- collection = Poly3DCollection (poly3d , alpha = 0.2 , edgecolors = 'r' , shade = True )
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- face_color = [0.5 , 0.5 , 1 ] # alternative: matplotlib.colors.rgb2hex([0.5, 0.5, 1])
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- collection .set_facecolor (face_color )
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- ax .add_collection3d (collection )
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-
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- plt .draw ()
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+ ax = fig .add_subplot (projection = '3d' )
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+ ax .add_collection3d (shape )
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+ plt .show ()
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