11"""
2- For the backends thatsupports draw_image with optional affine
2+ For the backends thatsupport draw_image with optional affine
33transform (e.g., agg, ps backend), the image of the output should
4- have its boundarymatches thered rectangles .
4+ have its boundarymatch thedashed yellow rectangle .
55"""
66
77import numpy as np
8- import matplotlib .cm as cm
98import matplotlib .mlab as mlab
109import matplotlib .pyplot as plt
1110import matplotlib .transforms as mtransforms
@@ -21,25 +20,37 @@ def get_image():
2120return Z
2221
2322
24- if 1 :
23+ def do_plot (ax ,Z ,transform ):
24+ im = ax .imshow (Z ,interpolation = 'none' ,
25+ origin = 'lower' ,
26+ extent = [- 2 ,4 ,- 3 ,2 ],clip_on = True )
27+
28+ trans_data = transform + ax .transData
29+ im .set_transform (trans_data )
30+
31+ # display intended extent of the image
32+ x1 ,x2 ,y1 ,y2 = im .get_extent ()
33+ ax .plot ([x1 ,x2 ,x2 ,x1 ,x1 ], [y1 ,y1 ,y2 ,y2 ,y1 ],"y--" ,
34+ transform = trans_data )
35+ ax .set_xlim (- 5 ,5 )
36+ ax .set_ylim (- 4 ,4 )
2537
26- # image rotation
2738
28- fig ,ax1 = plt .subplots (1 ,1 )
39+ if 1 :
40+ fig , ((ax1 ,ax2 ), (ax3 ,ax4 ))= plt .subplots (2 ,2 )
2941Z = get_image ()
30- im1 = ax1 .imshow (Z ,interpolation = 'none' ,
31- origin = 'lower' ,
32- extent = [- 2 ,4 ,- 3 ,2 ],clip_on = True )
3342
34- trans_data2 = mtransforms .Affine2D ().rotate_deg (30 )+ ax1 .transData
35- im1 .set_transform (trans_data2 )
43+ # image rotation
44+ do_plot (ax1 ,Z ,mtransforms .Affine2D ().rotate_deg (30 ))
45+
46+ # image skew
47+ do_plot (ax2 ,Z ,mtransforms .Affine2D ().skew_deg (30 ,15 ))
3648
37- # display intended extent of the image
38- x1 ,x2 ,y1 ,y2 = im1 .get_extent ()
39- x3 ,y3 = x2 ,y1
49+ # scale and reflection
50+ do_plot (ax3 ,Z ,mtransforms .Affine2D ().scale (- 1 ,.5 ))
4051
41- ax1 .plot ([x1 ,x2 ,x2 ,x1 ,x1 ], [y1 ,y1 ,y2 ,y2 ,y1 ],"--" ,
42- transform = trans_data2 )
52+ # everything and a translation
53+ do_plot (ax4 ,Z ,mtransforms .Affine2D ().
54+ rotate_deg (30 ).skew_deg (30 ,15 ).scale (- 1 ,.5 ).translate (.5 ,- 1 ))
4355
44- ax1 .set_xlim (- 3 ,5 )
45- ax1 .set_ylim (- 4 ,4 )
56+ plt .show ()