-
Notifications
You must be signed in to change notification settings - Fork 60
Expand file tree
/
Copy pathartists.html
More file actions
1425 lines (1190 loc) · 149 KB
/
artists.html
File metadata and controls
1425 lines (1190 loc) · 149 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
<!DOCTYPE html>
<html lang="en" >
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<meta content="codex" name="keywords" />
<title>Artist tutorial — Matplotlib 3.8.0 documentation</title>
<script data-cfasync="false">
document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
</script>
<!-- Loaded before other Sphinx assets -->
<link href="../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
<link href="../_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
<link href="../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
<link href="../_static/vendor/fontawesome/6.1.2/css/all.min.css?digest=e353d410970836974a52" rel="stylesheet" />
<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2" />
<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2" />
<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
<link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=fa44fd50" />
<link rel="stylesheet" type="text/css" href="../_static/css/style.css?v=86e00652" />
<link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
<link rel="stylesheet" type="text/css" href="../_static/plot_directive.css" />
<link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
<link rel="stylesheet" type="text/css" href="../_static/sg_gallery.css?v=61a4c737" />
<link rel="stylesheet" type="text/css" href="../_static/sg_gallery-binder.css?v=f4aeca0c" />
<link rel="stylesheet" type="text/css" href="../_static/sg_gallery-dataframe.css?v=2082cf3c" />
<link rel="stylesheet" type="text/css" href="../_static/sg_gallery-rendered-html.css?v=1277b6f3" />
<link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
<link rel="stylesheet" type="text/css" href="../_static/mpl.css?v=a30b99b9" />
<!-- Pre-loaded scripts that we'll load fully later -->
<link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=e353d410970836974a52" />
<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
<script src="../_static/documentation_options.js?v=fbaf77b0"></script>
<script src="../_static/doctools.js?v=888ff710"></script>
<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../_static/clipboard.min.js?v=a7894cd8"></script>
<script src="../_static/copybutton.js?v=ccdb6887"></script>
<script src="../_static/design-tabs.js?v=36754332"></script>
<script data-domain="matplotlib.org" defer="defer" src="https://views.scientific-python.org/js/script.js"></script>
<script>DOCUMENTATION_OPTIONS.pagename = 'tutorials/artists';</script>
<script>
DOCUMENTATION_OPTIONS.theme_switcher_json_url = 'https://matplotlib.org/devdocs/_static/switcher.json?v3.8.0-3-g3411279f04';
DOCUMENTATION_OPTIONS.theme_switcher_version_match = '3.8.0';
</script>
<link rel="canonical" href="https://matplotlib.org/stable/tutorials/artists.html" />
<link rel="search" type="application/opensearchdescription+xml"
title="Search within Matplotlib 3.8.0 documentation"
href="../_static/opensearch.xml"/>
<link rel="icon" href="../_static/favicon.ico"/>
<link rel="search" title="Search" href="../search.html" />
<link rel="next" title="Plot types" href="../plot_types/index.html" />
<link rel="prev" title="The Lifecycle of a Plot" href="lifecycle.html" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<meta name="docsearch:language" content="en"/>
</head>
<body data-bs-spy="scroll" data-bs-target=".bd-toc-nav" data-offset="180" data-bs-root-margin="0px 0px -60%" data-default-mode="">
<a class="skip-link" href="#main-content">Skip to main content</a>
<input type="checkbox"
class="sidebar-toggle"
name="__primary"
id="__primary"/>
<label class="overlay overlay-primary" for="__primary"></label>
<input type="checkbox"
class="sidebar-toggle"
name="__secondary"
id="__secondary"/>
<label class="overlay overlay-secondary" for="__secondary"></label>
<div class="search-button__wrapper">
<div class="search-button__overlay"></div>
<div class="search-button__search-container">
<form class="bd-search d-flex align-items-center"
action="../search.html"
method="get">
<i class="fa-solid fa-magnifying-glass"></i>
<input type="search"
class="form-control"
name="q"
id="search-input"
placeholder="Search the docs ..."
aria-label="Search the docs ..."
autocomplete="off"
autocorrect="off"
autocapitalize="off"
spellcheck="false"/>
<span class="search-button__kbd-shortcut"><kbd class="kbd-shortcut__modifier">Ctrl</kbd>+<kbd>K</kbd></span>
</form></div>
</div>
<nav class="bd-header navbar navbar-expand-lg bd-navbar">
<div class="bd-header__inner bd-page-width">
<label class="sidebar-toggle primary-toggle" for="__primary">
<span class="fa-solid fa-bars"></span>
</label>
<div class="navbar-header-items__start">
<div class="navbar-item">
<a class="navbar-brand logo" href="https://matplotlib.org/stable/">
<img src="../_static/logo_light.svg" class="logo__image only-light" alt="Logo image"/>
<script>document.write(`<img src="../_static/logo_dark.svg" class="logo__image only-dark" alt="Logo image"/>`);</script>
</a></div>
</div>
<div class="col-lg-9 navbar-header-items">
<div class="me-auto navbar-header-items__center">
<div class="navbar-item"><ul id="navbar-main-elements" class="navbar-nav">
<li class="nav-item">
<a class="reference internal nav-link" href="../plot_types/index.html">Plot types</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="../users/index.html">User guide</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="index.html">Tutorials</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="../gallery/index.html">Examples</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="../api/index.html">Reference</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="../devel/index.html">Contribute</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="../users/release_notes.html">Releases</a>
</li>
</ul></div>
</div>
<div class="navbar-header-items__end">
<div class="navbar-item navbar-persistent--container">
<script>
document.write(`
<button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="fa-solid fa-magnifying-glass"></i>
</button>
`);
</script>
</div>
<div class="navbar-item">
<script>
document.write(`
<button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
<span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
<span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
<span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
</button>
`);
</script></div>
<div class="navbar-item">
<script>
document.write(`
<div class="version-switcher__container dropdown">
<button type="button" class="version-switcher__button btn btn-sm navbar-btn dropdown-toggle" data-bs-toggle="dropdown">
stable <!-- this text may get changed later by javascript -->
<span class="caret"></span>
</button>
<div class="version-switcher__menu dropdown-menu list-group-flush py-0">
<!-- dropdown will be populated by javascript on page load -->
</div>
</div>
`);
</script></div>
<div class="navbar-item"><ul class="navbar-icon-links navbar-nav"
aria-label="Icon Links">
<li class="nav-item">
<a href="https://gitter.im/matplotlib/matplotlib" title="Gitter" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-gitter"></i></span>
<label class="sr-only">Gitter</label></a>
</li>
<li class="nav-item">
<a href="https://discourse.matplotlib.org" title="Discourse" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-discourse"></i></span>
<label class="sr-only">Discourse</label></a>
</li>
<li class="nav-item">
<a href="https://github.com/matplotlib/matplotlib" title="GitHub" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-github"></i></span>
<label class="sr-only">GitHub</label></a>
</li>
<li class="nav-item">
<a href="https://twitter.com/matplotlib/" title="Twitter" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-twitter"></i></span>
<label class="sr-only">Twitter</label></a>
</li>
</ul></div>
</div>
</div>
<div class="navbar-persistent--mobile">
<script>
document.write(`
<button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
<i class="fa-solid fa-magnifying-glass"></i>
</button>
`);
</script>
</div>
<label class="sidebar-toggle secondary-toggle" for="__secondary">
<span class="fa-solid fa-outdent"></span>
</label>
</div>
</nav>
<div class="bd-container">
<div class="bd-container__inner bd-page-width">
<div class="bd-sidebar-primary bd-sidebar">
<div class="sidebar-header-items sidebar-primary__section">
<div class="sidebar-header-items__center">
<div class="navbar-item"><ul id="navbar-main-elements" class="navbar-nav">
<li class="nav-item">
<a class="reference internal nav-link" href="../plot_types/index.html">Plot types</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="../users/index.html">User guide</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="index.html">Tutorials</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="../gallery/index.html">Examples</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="../api/index.html">Reference</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="../devel/index.html">Contribute</a>
</li>
<li class="nav-item">
<a class="reference internal nav-link" href="../users/release_notes.html">Releases</a>
</li>
</ul></div>
</div>
<div class="sidebar-header-items__end">
<div class="navbar-item">
<script>
document.write(`
<button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
<span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
<span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
<span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
</button>
`);
</script></div>
<div class="navbar-item">
<script>
document.write(`
<div class="version-switcher__container dropdown">
<button type="button" class="version-switcher__button btn btn-sm navbar-btn dropdown-toggle" data-bs-toggle="dropdown">
stable <!-- this text may get changed later by javascript -->
<span class="caret"></span>
</button>
<div class="version-switcher__menu dropdown-menu list-group-flush py-0">
<!-- dropdown will be populated by javascript on page load -->
</div>
</div>
`);
</script></div>
<div class="navbar-item"><ul class="navbar-icon-links navbar-nav"
aria-label="Icon Links">
<li class="nav-item">
<a href="https://gitter.im/matplotlib/matplotlib" title="Gitter" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-gitter"></i></span>
<label class="sr-only">Gitter</label></a>
</li>
<li class="nav-item">
<a href="https://discourse.matplotlib.org" title="Discourse" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-discourse"></i></span>
<label class="sr-only">Discourse</label></a>
</li>
<li class="nav-item">
<a href="https://github.com/matplotlib/matplotlib" title="GitHub" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-github"></i></span>
<label class="sr-only">GitHub</label></a>
</li>
<li class="nav-item">
<a href="https://twitter.com/matplotlib/" title="Twitter" class="nav-link" rel="noopener" target="_blank" data-bs-toggle="tooltip" data-bs-placement="bottom"><span><i class="fa-brands fa-twitter"></i></span>
<label class="sr-only">Twitter</label></a>
</li>
</ul></div>
</div>
</div>
<div class="sidebar-primary-items__start sidebar-primary__section">
<div class="sidebar-primary-item"><nav class="bd-docs-nav bd-links"
aria-label="Section Navigation">
<p class="bd-links__title" role="heading" aria-level="1">Section Navigation</p>
<div class="bd-toc-item navbar-nav"><ul class="current nav bd-sidenav">
<li class="toctree-l1"><a class="reference internal" href="pyplot.html">Pyplot tutorial</a></li>
<li class="toctree-l1"><a class="reference internal" href="images.html">Image tutorial</a></li>
<li class="toctree-l1"><a class="reference internal" href="lifecycle.html">The Lifecycle of a Plot</a></li>
<li class="toctree-l1 current active"><a class="current reference internal" href="#">Artist tutorial</a></li>
</ul>
</div>
</nav></div>
</div>
<div class="sidebar-primary-items__end sidebar-primary__section">
</div>
<div id="rtd-footer-container"></div>
</div>
<main id="main-content" class="bd-main">
<div class="bd-content">
<div class="bd-article-container">
<div class="bd-header-article">
<div class="header-article-items header-article__inner">
<div class="header-article-items__start">
<div class="header-article-item">
<nav aria-label="Breadcrumbs">
<ul class="bd-breadcrumbs" role="navigation" aria-label="Breadcrumb">
<li class="breadcrumb-item breadcrumb-home">
<a href="../index.html" class="nav-link" aria-label="Home">
<i class="fa-solid fa-home"></i>
</a>
</li>
<li class="breadcrumb-item"><a href="index.html" class="nav-link">Tutorials</a></li>
<li class="breadcrumb-item active" aria-current="page">Artist tutorial</li>
</ul>
</nav>
</div>
</div>
</div>
</div>
<div id="searchbox"></div>
<article class="bd-article" role="main">
<div class="sphx-glr-download-link-note admonition note">
<p class="admonition-title">Note</p>
<p><a class="reference internal" href="#sphx-glr-download-tutorials-artists-py"><span class="std std-ref">Go to the end</span></a>
to download the full example code</p>
</div>
<section class="sphx-glr-example-title" id="artist-tutorial">
<span id="artists-tutorial"></span><span id="sphx-glr-tutorials-artists-py"></span><h1>Artist tutorial<a class="headerlink" href="#artist-tutorial" title="Link to this heading">#</a></h1>
<p>Using Artist objects to render on the canvas.</p>
<p>There are three layers to the Matplotlib API.</p>
<ul class="simple">
<li><p>the <code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.backend_bases.FigureCanvas</span></code> is the area onto which
the figure is drawn</p></li>
<li><p>the <code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.backend_bases.Renderer</span></code> is the object which knows how
to draw on the <code class="xref py py-class docutils literal notranslate"><span class="pre">FigureCanvas</span></code></p></li>
<li><p>and the <a class="reference internal" href="../api/artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.artist.Artist</span></code></a> is the object that knows how to use
a renderer to paint onto the canvas.</p></li>
</ul>
<p>The <code class="xref py py-class docutils literal notranslate"><span class="pre">FigureCanvas</span></code> and
<code class="xref py py-class docutils literal notranslate"><span class="pre">Renderer</span></code> handle all the details of
talking to user interface toolkits like <a class="reference external" href="https://www.wxpython.org">wxPython</a> or drawing languages like PostScript®, and
the <code class="docutils literal notranslate"><span class="pre">Artist</span></code> handles all the high level constructs like representing
and laying out the figure, text, and lines. The typical user will
spend 95% of their time working with the <code class="docutils literal notranslate"><span class="pre">Artists</span></code>.</p>
<p>There are two types of <code class="docutils literal notranslate"><span class="pre">Artists</span></code>: primitives and containers. The primitives
represent the standard graphical objects we want to paint onto our canvas:
<a class="reference internal" href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-class docutils literal notranslate"><span class="pre">Line2D</span></code></a>, <a class="reference internal" href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><code class="xref py py-class docutils literal notranslate"><span class="pre">Rectangle</span></code></a>,
<a class="reference internal" href="../api/text_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><code class="xref py py-class docutils literal notranslate"><span class="pre">Text</span></code></a>, <a class="reference internal" href="../api/image_api.html#matplotlib.image.AxesImage" title="matplotlib.image.AxesImage"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesImage</span></code></a>, etc., and
the containers are places to put them (<a class="reference internal" href="../api/axis_api.html#matplotlib.axis.Axis" title="matplotlib.axis.Axis"><code class="xref py py-class docutils literal notranslate"><span class="pre">Axis</span></code></a>,
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal notranslate"><span class="pre">Axes</span></code></a> and <a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-class docutils literal notranslate"><span class="pre">Figure</span></code></a>). The
standard use is to create a <a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-class docutils literal notranslate"><span class="pre">Figure</span></code></a> instance, use
the <code class="docutils literal notranslate"><span class="pre">Figure</span></code> to create one or more <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal notranslate"><span class="pre">Axes</span></code></a>
instances, and use the <code class="docutils literal notranslate"><span class="pre">Axes</span></code> instance
helper methods to create the primitives. In the example below, we create a
<code class="docutils literal notranslate"><span class="pre">Figure</span></code> instance using <a class="reference internal" href="../api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure"><code class="xref py py-func docutils literal notranslate"><span class="pre">matplotlib.pyplot.figure()</span></code></a>, which is a
convenience method for instantiating <code class="docutils literal notranslate"><span class="pre">Figure</span></code> instances and connecting them
with your user interface or drawing toolkit <code class="docutils literal notranslate"><span class="pre">FigureCanvas</span></code>. As we will
discuss below, this is not necessary -- you can work directly with PostScript,
PDF Gtk+, or wxPython <code class="docutils literal notranslate"><span class="pre">FigureCanvas</span></code> instances, instantiate your <code class="docutils literal notranslate"><span class="pre">Figures</span></code>
directly and connect them yourselves -- but since we are focusing here on the
<code class="docutils literal notranslate"><span class="pre">Artist</span></code> API we'll let <a class="reference internal" href="../api/pyplot_summary.html#module-matplotlib.pyplot" title="matplotlib.pyplot"><code class="xref py py-mod docutils literal notranslate"><span class="pre">pyplot</span></code></a> handle some of those details
for us:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<a href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
<a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="../api/figure_api.html#matplotlib.figure.Figure.add_subplot" title="matplotlib.figure.Figure.add_subplot" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span></a><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> <span class="c1"># two rows, one column, first plot</span>
</pre></div>
</div>
<p>The <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal notranslate"><span class="pre">Axes</span></code></a> is probably the most important
class in the Matplotlib API, and the one you will be working with most
of the time. This is because the <code class="docutils literal notranslate"><span class="pre">Axes</span></code> is the plotting area into
which most of the objects go, and the <code class="docutils literal notranslate"><span class="pre">Axes</span></code> has many special helper
methods (<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot"><code class="xref py py-meth docutils literal notranslate"><span class="pre">plot()</span></code></a>,
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.text.html#matplotlib.axes.Axes.text" title="matplotlib.axes.Axes.text"><code class="xref py py-meth docutils literal notranslate"><span class="pre">text()</span></code></a>,
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.hist.html#matplotlib.axes.Axes.hist" title="matplotlib.axes.Axes.hist"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hist()</span></code></a>,
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.imshow.html#matplotlib.axes.Axes.imshow" title="matplotlib.axes.Axes.imshow"><code class="xref py py-meth docutils literal notranslate"><span class="pre">imshow()</span></code></a>) to create the most common
graphics primitives (<a class="reference internal" href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-class docutils literal notranslate"><span class="pre">Line2D</span></code></a>,
<a class="reference internal" href="../api/text_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><code class="xref py py-class docutils literal notranslate"><span class="pre">Text</span></code></a>,
<a class="reference internal" href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><code class="xref py py-class docutils literal notranslate"><span class="pre">Rectangle</span></code></a>,
<a class="reference internal" href="../api/image_api.html#matplotlib.image.AxesImage" title="matplotlib.image.AxesImage"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesImage</span></code></a>, respectively). These helper methods
will take your data (e.g., <code class="docutils literal notranslate"><span class="pre">numpy</span></code> arrays and strings) and create
primitive <code class="docutils literal notranslate"><span class="pre">Artist</span></code> instances as needed (e.g., <code class="docutils literal notranslate"><span class="pre">Line2D</span></code>), add them to
the relevant containers, and draw them when requested. If you want to create
an <code class="docutils literal notranslate"><span class="pre">Axes</span></code> at an arbitrary location, simply use the
<a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure.add_axes" title="matplotlib.figure.Figure.add_axes"><code class="xref py py-meth docutils literal notranslate"><span class="pre">add_axes()</span></code></a> method which takes a list
of <code class="docutils literal notranslate"><span class="pre">[left,</span> <span class="pre">bottom,</span> <span class="pre">width,</span> <span class="pre">height]</span></code> values in 0-1 relative figure
coordinates:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">fig2</span> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
<a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax2</span></a> <span class="o">=</span> <span class="n">fig2</span><span class="o">.</span><span class="n">add_axes</span><span class="p">([</span><span class="mf">0.15</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="mf">0.7</span><span class="p">,</span> <span class="mf">0.3</span><span class="p">])</span>
</pre></div>
</div>
<p>Continuing with our example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">t</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.arange.html#numpy.arange" title="numpy.arange" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">arange</span></a><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">)</span>
<a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">s</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ufunc.html#numpy.ufunc" title="numpy.ufunc" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">np</span><span class="o">.</span><span class="n">sin</span></a><span class="p">(</span><span class="mi">2</span><span class="o">*</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">np</span><span class="o">.</span><span class="n">pi</span></a><span class="o">*</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">t</span></a><span class="p">)</span>
<a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">line</span></a><span class="p">,</span> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">plot</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">t</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">s</span></a><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'blue'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
</pre></div>
</div>
<p>In this example, <code class="docutils literal notranslate"><span class="pre">ax</span></code> is the <code class="docutils literal notranslate"><span class="pre">Axes</span></code> instance created by the
<code class="docutils literal notranslate"><span class="pre">fig.add_subplot</span></code> call above and when you call <code class="docutils literal notranslate"><span class="pre">ax.plot</span></code>, it creates a
<code class="docutils literal notranslate"><span class="pre">Line2D</span></code> instance and
adds it to the <code class="docutils literal notranslate"><span class="pre">Axes</span></code>. In the interactive <a class="reference external" href="https://ipython.org/">IPython</a>
session below, you can see that the <code class="docutils literal notranslate"><span class="pre">Axes.lines</span></code> list is length one and
contains the same line that was returned by the <code class="docutils literal notranslate"><span class="pre">line,</span> <span class="pre">=</span> <span class="pre">ax.plot...</span></code> call:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [101]: </span><a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">lines</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="gh">Out[101]: </span><span class="go"><matplotlib.lines.Line2D at 0x19a95710></span>
<span class="gp">In [102]: </span><a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">line</span></a>
<span class="gh">Out[102]: </span><span class="go"><matplotlib.lines.Line2D at 0x19a95710></span>
</pre></div>
</div>
<p>If you make subsequent calls to <code class="docutils literal notranslate"><span class="pre">ax.plot</span></code> (and the hold state is "on"
which is the default) then additional lines will be added to the list.
You can remove a line later by calling its <code class="docutils literal notranslate"><span class="pre">remove</span></code> method:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">line</span></a> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">lines</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">line</span></a><span class="o">.</span><span class="n">remove</span><span class="p">()</span>
</pre></div>
</div>
<p>The Axes also has helper methods to configure and decorate the x-axis
and y-axis tick, tick labels and axis labels:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">xtext</span> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'my xdata'</span><span class="p">)</span> <span class="c1"># returns a Text instance</span>
<span class="n">ytext</span> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'my ydata'</span><span class="p">)</span>
</pre></div>
</div>
<p>When you call <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.set_xlabel.html#matplotlib.axes.Axes.set_xlabel" title="matplotlib.axes.Axes.set_xlabel"><code class="xref py py-meth docutils literal notranslate"><span class="pre">ax.set_xlabel</span></code></a>,
it passes the information on the <a class="reference internal" href="../api/text_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><code class="xref py py-class docutils literal notranslate"><span class="pre">Text</span></code></a>
instance of the <a class="reference internal" href="../api/axis_api.html#matplotlib.axis.XAxis" title="matplotlib.axis.XAxis"><code class="xref py py-class docutils literal notranslate"><span class="pre">XAxis</span></code></a>. Each <code class="docutils literal notranslate"><span class="pre">Axes</span></code>
instance contains an <a class="reference internal" href="../api/axis_api.html#matplotlib.axis.XAxis" title="matplotlib.axis.XAxis"><code class="xref py py-class docutils literal notranslate"><span class="pre">XAxis</span></code></a> and a
<a class="reference internal" href="../api/axis_api.html#matplotlib.axis.YAxis" title="matplotlib.axis.YAxis"><code class="xref py py-class docutils literal notranslate"><span class="pre">YAxis</span></code></a> instance, which handle the layout and
drawing of the ticks, tick labels and axis labels.</p>
<p>Try creating the figure below.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<a href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
<a href="../api/figure_api.html#matplotlib.figure.Figure.subplots_adjust" title="matplotlib.figure.Figure.subplots_adjust" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">subplots_adjust</span></a><span class="p">(</span><span class="n">top</span><span class="o">=</span><span class="mf">0.8</span><span class="p">)</span>
<a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax1</span></a> <span class="o">=</span> <a href="../api/figure_api.html#matplotlib.figure.Figure.add_subplot" title="matplotlib.figure.Figure.add_subplot" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span></a><span class="p">(</span><span class="mi">211</span><span class="p">)</span>
<a href="../api/_as_gen/matplotlib.axes.Axes.set_ylabel.html#matplotlib.axes.Axes.set_ylabel" title="matplotlib.axes.Axes.set_ylabel" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span></a><span class="p">(</span><span class="s1">'Voltage [V]'</span><span class="p">)</span>
<a href="../api/_as_gen/matplotlib.axes.Axes.set_title.html#matplotlib.axes.Axes.set_title" title="matplotlib.axes.Axes.set_title" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span></a><span class="p">(</span><span class="s1">'A sine wave'</span><span class="p">)</span>
<a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">t</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.arange.html#numpy.arange" title="numpy.arange" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">arange</span></a><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">)</span>
<a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">s</span></a> <span class="o">=</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ufunc.html#numpy.ufunc" title="numpy.ufunc" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">np</span><span class="o">.</span><span class="n">sin</span></a><span class="p">(</span><span class="mi">2</span><span class="o">*</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">np</span><span class="o">.</span><span class="n">pi</span></a><span class="o">*</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">t</span></a><span class="p">)</span>
<a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">line</span></a><span class="p">,</span> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax1</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">t</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">s</span></a><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'blue'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="c1"># Fixing random state for reproducibility</span>
<a href="https://numpy.org/doc/stable/reference/random/generated/numpy.random.seed.html#numpy.random.seed" title="numpy.random.seed" class="sphx-glr-backref-module-numpy-random sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span></a><span class="p">(</span><span class="mi">19680801</span><span class="p">)</span>
<a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax2</span></a> <span class="o">=</span> <a href="../api/figure_api.html#matplotlib.figure.Figure.add_axes" title="matplotlib.figure.Figure.add_axes" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span></a><span class="p">([</span><span class="mf">0.15</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="mf">0.7</span><span class="p">,</span> <span class="mf">0.3</span><span class="p">])</span>
<a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">n</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">bins</span></a><span class="p">,</span> <a href="../api/container_api.html#matplotlib.container.BarContainer" title="matplotlib.container.BarContainer" class="sphx-glr-backref-module-matplotlib-container sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">patches</span></a> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.axes.Axes.hist.html#matplotlib.axes.Axes.hist" title="matplotlib.axes.Axes.hist" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax2</span><span class="o">.</span><span class="n">hist</span></a><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/random/generated/numpy.random.randn.html#numpy.random.randn" title="numpy.random.randn" class="sphx-glr-backref-module-numpy-random sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span></a><span class="p">(</span><span class="mi">1000</span><span class="p">),</span> <span class="mi">50</span><span class="p">,</span>
<span class="n">facecolor</span><span class="o">=</span><span class="s1">'yellow'</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'yellow'</span><span class="p">)</span>
<a href="../api/_as_gen/matplotlib.axes.Axes.set_xlabel.html#matplotlib.axes.Axes.set_xlabel" title="matplotlib.axes.Axes.set_xlabel" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-method"><span class="n">ax2</span><span class="o">.</span><span class="n">set_xlabel</span></a><span class="p">(</span><span class="s1">'Time [s]'</span><span class="p">)</span>
<a href="../api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
</pre></div>
</div>
<img src="../_images/sphx_glr_artists_001.png" srcset="../_images/sphx_glr_artists_001.png, ../_images/sphx_glr_artists_001_2_00x.png 2.00x" alt="A sine wave" class = "sphx-glr-single-img"/><section id="customizing-your-objects">
<span id="customizing-artists"></span><h2>Customizing your objects<a class="headerlink" href="#customizing-your-objects" title="Link to this heading">#</a></h2>
<p>Every element in the figure is represented by a Matplotlib
<a class="reference internal" href="../api/artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><code class="xref py py-class docutils literal notranslate"><span class="pre">Artist</span></code></a>, and each has an extensive list of
properties to configure its appearance. The figure itself contains a
<a class="reference internal" href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><code class="xref py py-class docutils literal notranslate"><span class="pre">Rectangle</span></code></a> exactly the size of the figure,
which you can use to set the background color and transparency of the
figures. Likewise, each <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal notranslate"><span class="pre">Axes</span></code></a> bounding box
(the standard white box with black edges in the typical Matplotlib
plot, has a <code class="docutils literal notranslate"><span class="pre">Rectangle</span></code> instance that determines the color,
transparency, and other properties of the Axes. These instances are
stored as member variables <code class="xref py py-attr docutils literal notranslate"><span class="pre">Figure.patch</span></code> and <code class="xref py py-attr docutils literal notranslate"><span class="pre">Axes.patch</span></code> ("Patch" is a name inherited from
MATLAB, and is a 2D "patch" of color on the figure, e.g., rectangles,
circles and polygons). Every Matplotlib <code class="docutils literal notranslate"><span class="pre">Artist</span></code> has the following
properties</p>
<table class="table">
<thead>
<tr class="row-odd"><th class="head"><p>Property</p></th>
<th class="head"><p>Description</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p>alpha</p></td>
<td><p>The transparency - a scalar from 0-1</p></td>
</tr>
<tr class="row-odd"><td><p>animated</p></td>
<td><p>A boolean that is used to facilitate animated drawing</p></td>
</tr>
<tr class="row-even"><td><p>axes</p></td>
<td><p>The Axes that the Artist lives in, possibly None</p></td>
</tr>
<tr class="row-odd"><td><p>clip_box</p></td>
<td><p>The bounding box that clips the Artist</p></td>
</tr>
<tr class="row-even"><td><p>clip_on</p></td>
<td><p>Whether clipping is enabled</p></td>
</tr>
<tr class="row-odd"><td><p>clip_path</p></td>
<td><p>The path the artist is clipped to</p></td>
</tr>
<tr class="row-even"><td><p>contains</p></td>
<td><p>A picking function to test whether the artist contains the pick
point</p></td>
</tr>
<tr class="row-odd"><td><p>figure</p></td>
<td><p>The figure instance the artist lives in, possibly None</p></td>
</tr>
<tr class="row-even"><td><p>label</p></td>
<td><p>A text label (e.g., for auto-labeling)</p></td>
</tr>
<tr class="row-odd"><td><p>picker</p></td>
<td><p>A python object that controls object picking</p></td>
</tr>
<tr class="row-even"><td><p>transform</p></td>
<td><p>The transformation</p></td>
</tr>
<tr class="row-odd"><td><p>visible</p></td>
<td><p>A boolean whether the artist should be drawn</p></td>
</tr>
<tr class="row-even"><td><p>zorder</p></td>
<td><p>A number which determines the drawing order</p></td>
</tr>
<tr class="row-odd"><td><p>rasterized</p></td>
<td><p>Boolean; Turns vectors into raster graphics (for compression &
EPS transparency)</p></td>
</tr>
</tbody>
</table>
<p>Each of the properties is accessed with an old-fashioned setter or
getter (yes we know this irritates Pythonistas and we plan to support
direct access via properties or traits but it hasn't been done yet).
For example, to multiply the current alpha by a half:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">a</span> <span class="o">=</span> <span class="n">o</span><span class="o">.</span><span class="n">get_alpha</span><span class="p">()</span>
<span class="n">o</span><span class="o">.</span><span class="n">set_alpha</span><span class="p">(</span><span class="mf">0.5</span><span class="o">*</span><span class="n">a</span><span class="p">)</span>
</pre></div>
</div>
<p>If you want to set a number of properties at once, you can also use
the <code class="docutils literal notranslate"><span class="pre">set</span></code> method with keyword arguments. For example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">o</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
</pre></div>
</div>
<p>If you are working interactively at the python shell, a handy way to
inspect the <code class="docutils literal notranslate"><span class="pre">Artist</span></code> properties is to use the
<a class="reference internal" href="../api/_as_gen/matplotlib.artist.getp.html#matplotlib.artist.getp" title="matplotlib.artist.getp"><code class="xref py py-func docutils literal notranslate"><span class="pre">matplotlib.artist.getp()</span></code></a> function (simply
<a class="reference internal" href="../api/_as_gen/matplotlib.pyplot.getp.html#matplotlib.pyplot.getp" title="matplotlib.pyplot.getp"><code class="xref py py-func docutils literal notranslate"><span class="pre">getp()</span></code></a> in pyplot), which lists the properties
and their values. This works for classes derived from <code class="docutils literal notranslate"><span class="pre">Artist</span></code> as
well, e.g., <code class="docutils literal notranslate"><span class="pre">Figure</span></code> and <code class="docutils literal notranslate"><span class="pre">Rectangle</span></code>. Here are the <code class="docutils literal notranslate"><span class="pre">Figure</span></code> rectangle
properties mentioned above:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [149]: </span><span class="n">matplotlib</span><span class="o">.</span><span class="n">artist</span><span class="o">.</span><span class="n">getp</span><span class="p">(</span><a href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle" class="sphx-glr-backref-module-matplotlib-patches sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span><span class="o">.</span><span class="n">patch</span></a><span class="p">)</span>
<span class="go"> agg_filter = None</span>
<span class="go"> alpha = None</span>
<span class="go"> animated = False</span>
<span class="go"> antialiased or aa = False</span>
<span class="go"> bbox = Bbox(x0=0.0, y0=0.0, x1=1.0, y1=1.0)</span>
<span class="go"> capstyle = butt</span>
<span class="go"> children = []</span>
<span class="go"> clip_box = None</span>
<span class="go"> clip_on = True</span>
<span class="go"> clip_path = None</span>
<span class="go"> contains = None</span>
<span class="go"> data_transform = BboxTransformTo( TransformedBbox( Bbox...</span>
<span class="go"> edgecolor or ec = (1.0, 1.0, 1.0, 1.0)</span>
<span class="go"> extents = Bbox(x0=0.0, y0=0.0, x1=640.0, y1=480.0)</span>
<span class="go"> facecolor or fc = (1.0, 1.0, 1.0, 1.0)</span>
<span class="go"> figure = Figure(640x480)</span>
<span class="go"> fill = True</span>
<span class="go"> gid = None</span>
<span class="go"> hatch = None</span>
<span class="go"> height = 1</span>
<span class="go"> in_layout = False</span>
<span class="go"> joinstyle = miter</span>
<span class="go"> label =</span>
<span class="go"> linestyle or ls = solid</span>
<span class="go"> linewidth or lw = 0.0</span>
<span class="go"> patch_transform = CompositeGenericTransform( BboxTransformTo( ...</span>
<span class="go"> path = Path(array([[0., 0.], [1., 0.], [1.,...</span>
<span class="go"> path_effects = []</span>
<span class="go"> picker = None</span>
<span class="go"> rasterized = None</span>
<span class="go"> sketch_params = None</span>
<span class="go"> snap = None</span>
<span class="go"> transform = CompositeGenericTransform( CompositeGenericTra...</span>
<span class="go"> transformed_clip_path_and_affine = (None, None)</span>
<span class="go"> url = None</span>
<span class="go"> verts = [[ 0. 0.] [640. 0.] [640. 480.] [ 0. 480....</span>
<span class="go"> visible = True</span>
<span class="go"> width = 1</span>
<span class="go"> window_extent = Bbox(x0=0.0, y0=0.0, x1=640.0, y1=480.0)</span>
<span class="go"> x = 0</span>
<span class="go"> xy = (0, 0)</span>
<span class="go"> y = 0</span>
<span class="go"> zorder = 1</span>
</pre></div>
</div>
<p>The docstrings for all of the classes also contain the <code class="docutils literal notranslate"><span class="pre">Artist</span></code>
properties, so you can consult the interactive "help" or the
<a class="reference internal" href="../api/artist_api.html#artist-api"><span class="std std-ref">matplotlib.artist</span></a> for a listing of properties for a given object.</p>
</section>
<section id="object-containers">
<span id="id1"></span><h2>Object containers<a class="headerlink" href="#object-containers" title="Link to this heading">#</a></h2>
<p>Now that we know how to inspect and set the properties of a given
object we want to configure, we need to know how to get at that object.
As mentioned in the introduction, there are two kinds of objects:
primitives and containers. The primitives are usually the things you
want to configure (the font of a <a class="reference internal" href="../api/text_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><code class="xref py py-class docutils literal notranslate"><span class="pre">Text</span></code></a>
instance, the width of a <a class="reference internal" href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-class docutils literal notranslate"><span class="pre">Line2D</span></code></a>) although
the containers also have some properties as well -- for example the
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal notranslate"><span class="pre">Axes</span></code></a> <a class="reference internal" href="../api/artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><code class="xref py py-class docutils literal notranslate"><span class="pre">Artist</span></code></a> is a
container that contains many of the primitives in your plot, but it
also has properties like the <code class="docutils literal notranslate"><span class="pre">xscale</span></code> to control whether the xaxis
is 'linear' or 'log'. In this section we'll review where the various
container objects store the <code class="docutils literal notranslate"><span class="pre">Artists</span></code> that you want to get at.</p>
<section id="figure-container">
<span id="id2"></span><h3>Figure container<a class="headerlink" href="#figure-container" title="Link to this heading">#</a></h3>
<p>The top level container <code class="docutils literal notranslate"><span class="pre">Artist</span></code> is the
<a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.figure.Figure</span></code></a>, and it contains everything in the
figure. The background of the figure is a
<a class="reference internal" href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><code class="xref py py-class docutils literal notranslate"><span class="pre">Rectangle</span></code></a> which is stored in
<code class="xref py py-attr docutils literal notranslate"><span class="pre">Figure.patch</span></code>. As
you add subplots (<a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure.add_subplot" title="matplotlib.figure.Figure.add_subplot"><code class="xref py py-meth docutils literal notranslate"><span class="pre">add_subplot()</span></code></a>) and
axes (<a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure.add_axes" title="matplotlib.figure.Figure.add_axes"><code class="xref py py-meth docutils literal notranslate"><span class="pre">add_axes()</span></code></a>) to the figure
these will be appended to the <a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure.axes" title="matplotlib.figure.Figure.axes"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Figure.axes</span></code></a>. These are also returned by the
methods that create them:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [156]: </span><a href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
<span class="gp">In [157]: </span><a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax1</span></a> <span class="o">=</span> <a href="../api/figure_api.html#matplotlib.figure.Figure.add_subplot" title="matplotlib.figure.Figure.add_subplot" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span></a><span class="p">(</span><span class="mi">211</span><span class="p">)</span>
<span class="gp">In [158]: </span><a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax2</span></a> <span class="o">=</span> <a href="../api/figure_api.html#matplotlib.figure.Figure.add_axes" title="matplotlib.figure.Figure.add_axes" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span></a><span class="p">([</span><span class="mf">0.1</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="mf">0.7</span><span class="p">,</span> <span class="mf">0.3</span><span class="p">])</span>
<span class="gp">In [159]: </span><a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax1</span></a>
<span class="gh">Out[159]: </span><span class="go"><Axes:></span>
<span class="gp">In [160]: </span><span class="nb">print</span><span class="p">(</span><a href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="o">.</span><span class="n">axes</span><span class="p">)</span>
<span class="go">[<Axes:>, <matplotlib.axes._axes.Axes object at 0x7f0768702be0>]</span>
</pre></div>
</div>
<p>Because the figure maintains the concept of the "current Axes" (see
<a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure.gca" title="matplotlib.figure.Figure.gca"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Figure.gca</span></code></a> and
<a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure.sca" title="matplotlib.figure.Figure.sca"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Figure.sca</span></code></a>) to support the
pylab/pyplot state machine, you should not insert or remove Axes
directly from the Axes list, but rather use the
<a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure.add_subplot" title="matplotlib.figure.Figure.add_subplot"><code class="xref py py-meth docutils literal notranslate"><span class="pre">add_subplot()</span></code></a> and
<a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure.add_axes" title="matplotlib.figure.Figure.add_axes"><code class="xref py py-meth docutils literal notranslate"><span class="pre">add_axes()</span></code></a> methods to insert, and the
<a class="reference internal" href="../api/_as_gen/matplotlib.artist.Artist.remove.html#matplotlib.artist.Artist.remove" title="matplotlib.artist.Artist.remove"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes.remove</span></code></a> method to delete. You are
free however, to iterate over the list of Axes or index into it to get
access to <code class="docutils literal notranslate"><span class="pre">Axes</span></code> instances you want to customize. Here is an
example which turns all the Axes grids on:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="ow">in</span> <a href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="o">.</span><span class="n">axes</span><span class="p">:</span>
<a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span>
</pre></div>
</div>
<p>The figure also has its own <code class="docutils literal notranslate"><span class="pre">images</span></code>, <code class="docutils literal notranslate"><span class="pre">lines</span></code>, <code class="docutils literal notranslate"><span class="pre">patches</span></code> and <code class="docutils literal notranslate"><span class="pre">text</span></code>
attributes, which you can use to add primitives directly. When doing so, the
default coordinate system for the <code class="docutils literal notranslate"><span class="pre">Figure</span></code> will simply be in pixels (which
is not usually what you want). If you instead use Figure-level methods to add
Artists (e.g., using <a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure.text" title="matplotlib.figure.Figure.text"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Figure.text</span></code></a> to add text), then the default coordinate
system will be "figure coordinates" where (0, 0) is the bottom-left of the
figure and (1, 1) is the top-right of the figure.</p>
<p>As with all <code class="docutils literal notranslate"><span class="pre">Artist</span></code>s, you can control this coordinate system by setting
the transform property. You can explicitly use "figure coordinates" by
setting the <code class="docutils literal notranslate"><span class="pre">Artist</span></code> transform to <code class="xref py py-attr docutils literal notranslate"><span class="pre">fig.transFigure</span></code>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.lines</span> <span class="k">as</span> <span class="nn">lines</span>
<a href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">()</span>
<a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">l1</span></a> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class"><span class="n">lines</span><span class="o">.</span><span class="n">Line2D</span></a><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">transform</span><span class="o">=</span><a href="../api/transformations.html#matplotlib.transforms.BboxTransformTo" title="matplotlib.transforms.BboxTransformTo" class="sphx-glr-backref-module-matplotlib-transforms sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span><span class="o">.</span><span class="n">transFigure</span></a><span class="p">,</span> <span class="n">figure</span><span class="o">=</span><a href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">)</span>
<a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">l2</span></a> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class"><span class="n">lines</span><span class="o">.</span><span class="n">Line2D</span></a><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">transform</span><span class="o">=</span><a href="../api/transformations.html#matplotlib.transforms.BboxTransformTo" title="matplotlib.transforms.BboxTransformTo" class="sphx-glr-backref-module-matplotlib-transforms sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span><span class="o">.</span><span class="n">transFigure</span></a><span class="p">,</span> <span class="n">figure</span><span class="o">=</span><a href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">)</span>
<a href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="o">.</span><span class="n">lines</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">l1</span></a><span class="p">,</span> <a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">l2</span></a><span class="p">])</span>
<a href="../api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
</pre></div>
</div>
<img src="../_images/sphx_glr_artists_002.png" srcset="../_images/sphx_glr_artists_002.png, ../_images/sphx_glr_artists_002_2_00x.png 2.00x" alt="artists" class = "sphx-glr-single-img"/><p>Here is a summary of the Artists the Figure contains</p>
<table class="table">
<thead>
<tr class="row-odd"><th class="head"><p>Figure attribute</p></th>
<th class="head"><p>Description</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p>axes</p></td>
<td><p>A list of <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Axes</span></code></a> instances</p></td>
</tr>
<tr class="row-odd"><td><p>patch</p></td>
<td><p>The <a class="reference internal" href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Rectangle</span></code></a> background</p></td>
</tr>
<tr class="row-even"><td><p>images</p></td>
<td><p>A list of <a class="reference internal" href="../api/image_api.html#matplotlib.image.FigureImage" title="matplotlib.image.FigureImage"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FigureImage</span></code></a> patches -
useful for raw pixel display</p></td>
</tr>
<tr class="row-odd"><td><p>legends</p></td>
<td><p>A list of Figure <a class="reference internal" href="../api/legend_api.html#matplotlib.legend.Legend" title="matplotlib.legend.Legend"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Legend</span></code></a> instances
(different from <code class="docutils literal notranslate"><span class="pre">Axes.get_legend()</span></code>)</p></td>
</tr>
<tr class="row-even"><td><p>lines</p></td>
<td><p>A list of Figure <a class="reference internal" href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Line2D</span></code></a> instances
(rarely used, see <code class="docutils literal notranslate"><span class="pre">Axes.lines</span></code>)</p></td>
</tr>
<tr class="row-odd"><td><p>patches</p></td>
<td><p>A list of Figure <a class="reference internal" href="../api/_as_gen/matplotlib.patches.Patch.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Patch</span></code></a>s
(rarely used, see <code class="docutils literal notranslate"><span class="pre">Axes.patches</span></code>)</p></td>
</tr>
<tr class="row-even"><td><p>texts</p></td>
<td><p>A list Figure <a class="reference internal" href="../api/text_api.html#matplotlib.text.Text" title="matplotlib.text.Text"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Text</span></code></a> instances</p></td>
</tr>
</tbody>
</table>
</section>
<section id="axes-container">
<span id="id3"></span><h3>Axes container<a class="headerlink" href="#axes-container" title="Link to this heading">#</a></h3>
<p>The <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.axes.Axes</span></code></a> is the center of the Matplotlib
universe -- it contains the vast majority of all the <code class="docutils literal notranslate"><span class="pre">Artists</span></code> used
in a figure with many helper methods to create and add these
<code class="docutils literal notranslate"><span class="pre">Artists</span></code> to itself, as well as helper methods to access and
customize the <code class="docutils literal notranslate"><span class="pre">Artists</span></code> it contains. Like the
<a class="reference internal" href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-class docutils literal notranslate"><span class="pre">Figure</span></code></a>, it contains a
<a class="reference internal" href="../api/_as_gen/matplotlib.patches.Patch.html#matplotlib.patches.Patch" title="matplotlib.patches.Patch"><code class="xref py py-class docutils literal notranslate"><span class="pre">Patch</span></code></a>
<code class="xref py py-attr docutils literal notranslate"><span class="pre">patch</span></code> which is a
<a class="reference internal" href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle"><code class="xref py py-class docutils literal notranslate"><span class="pre">Rectangle</span></code></a> for Cartesian coordinates and a
<a class="reference internal" href="../api/_as_gen/matplotlib.patches.Circle.html#matplotlib.patches.Circle" title="matplotlib.patches.Circle"><code class="xref py py-class docutils literal notranslate"><span class="pre">Circle</span></code></a> for polar coordinates; this patch
determines the shape, background and border of the plotting region:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="../api/figure_api.html#matplotlib.figure.Figure.add_subplot" title="matplotlib.figure.Figure.add_subplot" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span></a><span class="p">()</span>
<a href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle" class="sphx-glr-backref-module-matplotlib-patches sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">rect</span></a> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">patch</span> <span class="c1"># a Rectangle instance</span>
<a href="../api/_as_gen/matplotlib.patches.Patch.html#matplotlib.patches.Patch.set_facecolor" title="matplotlib.patches.Patch.set_facecolor" class="sphx-glr-backref-module-matplotlib-patches sphx-glr-backref-type-py-method"><span class="n">rect</span><span class="o">.</span><span class="n">set_facecolor</span></a><span class="p">(</span><span class="s1">'green'</span><span class="p">)</span>
</pre></div>
</div>
<p>When you call a plotting method, e.g., the canonical
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.plot.html#matplotlib.axes.Axes.plot" title="matplotlib.axes.Axes.plot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot</span></code></a> and pass in arrays or lists of values, the
method will create a <a class="reference internal" href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">matplotlib.lines.Line2D</span></code></a> instance, update the line with
all the <code class="docutils literal notranslate"><span class="pre">Line2D</span></code> properties passed as keyword arguments, add the line to
the <code class="docutils literal notranslate"><span class="pre">Axes</span></code>, and return it to you:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [213]: </span><span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
<span class="gp">In [214]: </span><a href="../api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D" title="matplotlib.lines.Line2D" class="sphx-glr-backref-module-matplotlib-lines sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">line</span></a><span class="p">,</span> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="s1">'-'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'blue'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
</pre></div>
</div>
<p><code class="docutils literal notranslate"><span class="pre">plot</span></code> returns a list of lines because you can pass in multiple x, y
pairs to plot, and we are unpacking the first element of the length
one list into the line variable. The line has been added to the
<code class="docutils literal notranslate"><span class="pre">Axes.lines</span></code> list:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [229]: </span><span class="nb">print</span><span class="p">(</span><a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">lines</span><span class="p">)</span>
<span class="go">[<matplotlib.lines.Line2D at 0xd378b0c>]</span>
</pre></div>
</div>
<p>Similarly, methods that create patches, like
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.bar.html#matplotlib.axes.Axes.bar" title="matplotlib.axes.Axes.bar"><code class="xref py py-meth docutils literal notranslate"><span class="pre">bar()</span></code></a> creates a list of rectangles, will
add the patches to the <code class="xref py py-attr docutils literal notranslate"><span class="pre">Axes.patches</span></code> list:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [233]: </span><a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">n</span></a><span class="p">,</span> <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="numpy.ndarray" class="sphx-glr-backref-module-numpy sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">bins</span></a><span class="p">,</span> <span class="n">rectangles</span> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">hist</span><span class="p">(</span><a href="https://numpy.org/doc/stable/reference/random/generated/numpy.random.randn.html#numpy.random.randn" title="numpy.random.randn" class="sphx-glr-backref-module-numpy-random sphx-glr-backref-type-py-function"><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span></a><span class="p">(</span><span class="mi">1000</span><span class="p">),</span> <span class="mi">50</span><span class="p">)</span>
<span class="gp">In [234]: </span><span class="n">rectangles</span>
<span class="gh">Out[234]: </span><span class="go"><BarContainer object of 50 artists></span>
<span class="gp">In [235]: </span><span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><a href="../api/container_api.html#matplotlib.container.BarContainer" title="matplotlib.container.BarContainer" class="sphx-glr-backref-module-matplotlib-container sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">patches</span></a><span class="p">))</span>
<span class="gh">Out[235]: </span><span class="go">50</span>
</pre></div>
</div>
<p>You should not add objects directly to the <code class="docutils literal notranslate"><span class="pre">Axes.lines</span></code> or <code class="docutils literal notranslate"><span class="pre">Axes.patches</span></code>
lists, because the <code class="docutils literal notranslate"><span class="pre">Axes</span></code> needs to do a few things when it creates and adds
an object:</p>
<ul class="simple">
<li><p>It sets the <code class="docutils literal notranslate"><span class="pre">figure</span></code> and <code class="docutils literal notranslate"><span class="pre">axes</span></code> property of the <code class="docutils literal notranslate"><span class="pre">Artist</span></code>;</p></li>
<li><p>It sets the default <code class="docutils literal notranslate"><span class="pre">Axes</span></code> transformation (unless one is already set);</p></li>
<li><p>It inspects the data contained in the <code class="docutils literal notranslate"><span class="pre">Artist</span></code> to update the data
structures controlling auto-scaling, so that the view limits can be
adjusted to contain the plotted data.</p></li>
</ul>
<p>You can, nonetheless, create objects yourself and add them directly to the
<code class="docutils literal notranslate"><span class="pre">Axes</span></code> using helper methods like <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.add_line.html#matplotlib.axes.Axes.add_line" title="matplotlib.axes.Axes.add_line"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_line</span></code></a> and
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.add_patch.html#matplotlib.axes.Axes.add_patch" title="matplotlib.axes.Axes.add_patch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_patch</span></code></a>. Here is an annotated interactive session
illustrating what is going on:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [262]: </span><a href="../api/figure_api.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">fig</span></a><span class="p">,</span> <a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a> <span class="o">=</span> <a href="../api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">()</span>
<span class="go"># create a rectangle instance</span>
<span class="gp">In [263]: </span><a href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle" class="sphx-glr-backref-module-matplotlib-patches sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">rect</span></a> <span class="o">=</span> <span class="n">matplotlib</span><span class="o">.</span><a href="../api/container_api.html#matplotlib.container.BarContainer" title="matplotlib.container.BarContainer" class="sphx-glr-backref-module-matplotlib-container sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">patches</span></a><span class="o">.</span><span class="n">Rectangle</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">width</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="mi">12</span><span class="p">)</span>
<span class="go"># by default the axes instance is None</span>
<span class="gp">In [264]: </span><span class="nb">print</span><span class="p">(</span><a href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle" class="sphx-glr-backref-module-matplotlib-patches sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">rect</span></a><span class="o">.</span><span class="n">axes</span><span class="p">)</span>
<span class="go">None</span>
<span class="go"># and the transformation instance is set to the "identity transform"</span>
<span class="gp">In [265]: </span><span class="nb">print</span><span class="p">(</span><a href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle" class="sphx-glr-backref-module-matplotlib-patches sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">rect</span></a><span class="o">.</span><span class="n">get_data_transform</span><span class="p">())</span>
<span class="go">IdentityTransform()</span>
<span class="go"># now we add the Rectangle to the Axes</span>
<span class="gp">In [266]: </span><a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">add_patch</span><span class="p">(</span><a href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle" class="sphx-glr-backref-module-matplotlib-patches sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">rect</span></a><span class="p">)</span>
<span class="go"># and notice that the ax.add_patch method has set the axes</span>
<span class="go"># instance</span>
<span class="gp">In [267]: </span><span class="nb">print</span><span class="p">(</span><a href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle" class="sphx-glr-backref-module-matplotlib-patches sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">rect</span></a><span class="o">.</span><span class="n">axes</span><span class="p">)</span>
<span class="go">Axes(0.125,0.1;0.775x0.8)</span>
<span class="go"># and the transformation has been set too</span>
<span class="gp">In [268]: </span><span class="nb">print</span><span class="p">(</span><a href="../api/_as_gen/matplotlib.patches.Rectangle.html#matplotlib.patches.Rectangle" title="matplotlib.patches.Rectangle" class="sphx-glr-backref-module-matplotlib-patches sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">rect</span></a><span class="o">.</span><span class="n">get_data_transform</span><span class="p">())</span>
<span class="go">CompositeGenericTransform(</span>
<span class="go"> TransformWrapper(</span>
<span class="go"> BlendedAffine2D(</span>
<span class="go"> IdentityTransform(),</span>
<span class="go"> IdentityTransform())),</span>
<span class="go"> CompositeGenericTransform(</span>
<span class="go"> BboxTransformFrom(</span>
<span class="go"> TransformedBbox(</span>
<span class="go"> Bbox(x0=0.0, y0=0.0, x1=1.0, y1=1.0),</span>
<span class="go"> TransformWrapper(</span>
<span class="go"> BlendedAffine2D(</span>
<span class="go"> IdentityTransform(),</span>
<span class="go"> IdentityTransform())))),</span>
<span class="go"> BboxTransformTo(</span>
<span class="go"> TransformedBbox(</span>
<span class="go"> Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),</span>
<span class="go"> BboxTransformTo(</span>
<span class="go"> TransformedBbox(</span>
<span class="go"> Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),</span>
<span class="go"> Affine2D(</span>
<span class="go"> [[100. 0. 0.]</span>
<span class="go"> [ 0. 100. 0.]</span>
<span class="go"> [ 0. 0. 1.]])))))))</span>
<span class="go"># the default axes transformation is ax.transData</span>
<span class="gp">In [269]: </span><span class="nb">print</span><span class="p">(</span><a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">transData</span><span class="p">)</span>
<span class="go">CompositeGenericTransform(</span>
<span class="go"> TransformWrapper(</span>
<span class="go"> BlendedAffine2D(</span>
<span class="go"> IdentityTransform(),</span>
<span class="go"> IdentityTransform())),</span>
<span class="go"> CompositeGenericTransform(</span>
<span class="go"> BboxTransformFrom(</span>
<span class="go"> TransformedBbox(</span>
<span class="go"> Bbox(x0=0.0, y0=0.0, x1=1.0, y1=1.0),</span>
<span class="go"> TransformWrapper(</span>
<span class="go"> BlendedAffine2D(</span>
<span class="go"> IdentityTransform(),</span>
<span class="go"> IdentityTransform())))),</span>
<span class="go"> BboxTransformTo(</span>
<span class="go"> TransformedBbox(</span>
<span class="go"> Bbox(x0=0.125, y0=0.10999999999999999, x1=0.9, y1=0.88),</span>
<span class="go"> BboxTransformTo(</span>
<span class="go"> TransformedBbox(</span>
<span class="go"> Bbox(x0=0.0, y0=0.0, x1=6.4, y1=4.8),</span>
<span class="go"> Affine2D(</span>
<span class="go"> [[100. 0. 0.]</span>
<span class="go"> [ 0. 100. 0.]</span>
<span class="go"> [ 0. 0. 1.]])))))))</span>
<span class="go"># notice that the xlimits of the Axes have not been changed</span>
<span class="gp">In [270]: </span><span class="nb">print</span><span class="p">(</span><a href="../api/_as_gen/matplotlib.axes.Axes.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes" class="sphx-glr-backref-module-matplotlib-axes sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">ax</span></a><span class="o">.</span><span class="n">get_xlim</span><span class="p">())</span>
<span class="go">(0.0, 1.0)</span>
<span class="go"># but the data limits have been updated to encompass the rectangle</span>