-
Notifications
You must be signed in to change notification settings - Fork 60
Expand file tree
/
Copy pathwhats_new.html
More file actions
799 lines (759 loc) · 86.1 KB
/
whats_new.html
File metadata and controls
799 lines (759 loc) · 86.1 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
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>What’s new in Matplotlib — Matplotlib 2.1.0 documentation</title>
<link rel="stylesheet" href="../_static/mpl.css"
type="text/css" />
<link rel="stylesheet" href="../_static/pygments.css"
type="text/css" />
<link rel="stylesheet" href="../_static/gallery.css" type="text/css" />
<script type="text/javascript">
var DOCUMENTATION_OPTIONS = {
URL_ROOT: '../',
VERSION: '2.1.0',
COLLAPSE_INDEX: false,
FILE_SUFFIX: '.html',
HAS_SOURCE: true,
SOURCELINK_SUFFIX: '.txt'
};
</script>
<script type="text/javascript" src="../_static/jquery.js"></script>
<script type="text/javascript" src="../_static/underscore.js"></script>
<script type="text/javascript" src="../_static/doctools.js"></script>
<link rel="search" type="application/opensearchdescription+xml"
title="Search within Matplotlib 2.1.0 documentation"
href="../_static/opensearch.xml"/>
<link rel="shortcut icon" href="../_static/favicon.ico"/>
<link rel="index" title="Index" href="../genindex.html"
/>
<link rel="search" title="Search" href="../search.html"
/>
<link rel="top" title="Matplotlib 2.1.0 documentation" href="../index.html" />
<link rel="up" title="User’s Guide" href="index.html" />
<link rel="next" title="List of changes to Matplotlib prior to 2015" href="prev_whats_new/changelog.html" />
<link rel="prev" title="Event handling and picking" href="event_handling.html" />
<link rel="canonical" href="https://matplotlib.org/3.4.3/users/whats_new.html" />
<script data-domain="matplotlib.org" defer="defer" src="https://views.scientific-python.org/js/script.js"></script>
</head>
<body>
<div id="unreleased-message"> You are reading an old version of the documentation (v2.1.0). For the latest version see <a href="/stable/">https://matplotlib.org/stable/</a> </div>
<div style="background-color: white; text-align: left; padding: 10px 10px 15px 15px; position: relative;">
<a href="../index.html"><img src="../_static/logo2.svg" width="540px" border="0" alt="matplotlib"/></a>
<!-- The "Fork me on github" ribbon -->
<div id="forkongithub"><a href="https://github.com/matplotlib/matplotlib">Fork me on GitHub</a></div>
</div>
<div class="related">
<h3>Navigation</h3>
<ul>
<li class="right" style="margin-right: 10px">
<a href="../genindex.html" title="General Index"
accesskey="I">index</a></li>
<li class="right" >
<a href="../py-modindex.html" title="Python Module Index"
>modules</a> |</li>
<li class="right" >
<a href="prev_whats_new/changelog.html" title="List of changes to Matplotlib prior to 2015"
accesskey="N">next</a> |</li>
<li class="right" >
<a href="event_handling.html" title="Event handling and picking"
accesskey="P">previous</a> |</li>
<li><a href="../index.html">home</a>| </li>
<li><a href="../gallery/index.html">examples</a>| </li>
<li><a href="../tutorials/index.html">tutorials</a>| </li>
<li><a href="../api/pyplot_summary.html">pyplot</a>| </li>
<li><a href="../contents.html">docs</a> »</li>
<li><a href="index.html" accesskey="U">User’s Guide</a> »</li>
</ul>
</div>
<div class="sphinxsidebar">
<div class="sphinxsidebarwrapper"><a href="https://www.numfocus.org">
<image src="https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A">
</a>
<br/>
<a href="http://depsy.org/package/python/matplotlib">
<img src="../_static/depsy_badge.svg">
</a>
<br/>
Travis-CI: <a href="https://travis-ci.org/matplotlib/matplotlib">
<img src="https://travis-ci.org/matplotlib/matplotlib.svg?branch=master"/>
</a>
<br/>
<h3><a href="../contents.html">Table Of Contents</a></h3>
<ul>
<li><a class="reference internal" href="#">What’s new in Matplotlib</a><ul>
<li><a class="reference internal" href="#new-in-matplotlib-2-1">New in Matplotlib 2.1</a><ul>
<li><a class="reference internal" href="#documentation">Documentation</a></li>
<li><a class="reference internal" href="#new-features">New features</a><ul>
<li><a class="reference internal" href="#string-categorical-values">String categorical values</a></li>
<li><a class="reference internal" href="#interactive-js-widgets-for-animation">Interactive JS widgets for animation</a></li>
<li><a class="reference internal" href="#enhancements-to-polar-plot">Enhancements to polar plot</a></li>
<li><a class="reference internal" href="#figure-class-now-has-subplots-method"><code class="docutils literal"><span class="pre">Figure</span></code> class now has <code class="docutils literal"><span class="pre">subplots</span></code> method</a></li>
<li><a class="reference internal" href="#metadata-savefig-keyword-argument">Metadata savefig keyword argument</a></li>
<li><a class="reference internal" href="#busy-cursor">Busy Cursor</a></li>
<li><a class="reference internal" href="#polygonselector">PolygonSelector</a></li>
<li><a class="reference internal" href="#added-matplotlib-ticker-percentformatter">Added <code class="docutils literal"><span class="pre">matplotlib.ticker.PercentFormatter</span></code></a></li>
<li><a class="reference internal" href="#reproducible-ps-pdf-and-svg-output">Reproducible PS, PDF and SVG output</a></li>
<li><a class="reference internal" href="#orthographic-projection-for-mplot3d">Orthographic projection for mplot3d</a></li>
<li><a class="reference internal" href="#voxels-function-for-mplot3d"><code class="docutils literal"><span class="pre">voxels</span></code> function for mplot3d</a></li>
</ul>
</li>
<li><a class="reference internal" href="#improvements">Improvements</a><ul>
<li><a class="reference internal" href="#checkbuttons-widget-get-status-function">CheckButtons widget <code class="docutils literal"><span class="pre">get_status</span></code> function</a></li>
<li><a class="reference internal" href="#add-fill-bar-argument-to-anchoredsizebar">Add <code class="docutils literal"><span class="pre">fill_bar</span></code> argument to <code class="docutils literal"><span class="pre">AnchoredSizeBar</span></code></a></li>
<li><a class="reference internal" href="#annotation-can-use-a-default-arrow-style">Annotation can use a default arrow style</a></li>
<li><a class="reference internal" href="#barbs-and-quiver-support-dates">Barbs and Quiver Support Dates</a></li>
<li><a class="reference internal" href="#hexbin-default-line-color">Hexbin default line color</a></li>
<li><a class="reference internal" href="#figure-legend-can-be-called-without-arguments">Figure.legend() can be called without arguments</a></li>
<li><a class="reference internal" href="#multiple-legend-keys-for-legend-entries">Multiple legend keys for legend entries</a></li>
<li><a class="reference internal" href="#new-parameter-clear-for-figure">New parameter <code class="docutils literal"><span class="pre">clear</span></code> for <code class="docutils literal"><span class="pre">figure()</span></code></a></li>
<li><a class="reference internal" href="#specify-minimum-value-to-format-as-scalar-for-logformattermathtext">Specify minimum value to format as scalar for <code class="docutils literal"><span class="pre">LogFormatterMathtext</span></code></a></li>
<li><a class="reference internal" href="#new-quiverkey-angle-keyword-argument">New quiverkey angle keyword argument</a></li>
<li><a class="reference internal" href="#colormap-reversed-method">Colormap reversed method</a></li>
<li><a class="reference internal" href="#artist-setp-and-pyplot-setp-accept-a-file-argument"><code class="docutils literal"><span class="pre">Artist.setp</span></code> (and <code class="docutils literal"><span class="pre">pyplot.setp</span></code>) accept a <code class="docutils literal"><span class="pre">file</span></code> argument</a></li>
<li><a class="reference internal" href="#streamplot-streamline-generation-more-configurable"><code class="docutils literal"><span class="pre">streamplot</span></code> streamline generation more configurable</a></li>
<li><a class="reference internal" href="#axis-set-tick-params-now-responds-to-rotation"><code class="docutils literal"><span class="pre">Axis.set_tick_params</span></code> now responds to <code class="docutils literal"><span class="pre">rotation</span></code></a></li>
<li><a class="reference internal" href="#shading-in-3d-bar-plots">Shading in 3D bar plots</a></li>
<li><a class="reference internal" href="#new-which-parameter-for-autofmt-xdate">New <code class="docutils literal"><span class="pre">which</span></code> Parameter for <code class="docutils literal"><span class="pre">autofmt_xdate</span></code></a></li>
<li><a class="reference internal" href="#new-figure-parameter-for-subplot2grid">New Figure Parameter for <code class="docutils literal"><span class="pre">subplot2grid</span></code></a></li>
<li><a class="reference internal" href="#interpolation-in-fill-betweenx">Interpolation in <code class="docutils literal"><span class="pre">fill_betweenx</span></code></a></li>
<li><a class="reference internal" href="#new-keyword-argument-sep-for-engformatter">New keyword argument <code class="docutils literal"><span class="pre">sep</span></code> for EngFormatter</a></li>
<li><a class="reference internal" href="#extend-matplotlibrc-behavior">Extend <code class="docutils literal"><span class="pre">MATPLOTLIBRC</span></code> behavior</a></li>
<li><a class="reference internal" href="#density-kwarg-to-hist"><code class="docutils literal"><span class="pre">density</span></code> kwarg to hist</a></li>
</ul>
</li>
<li><a class="reference internal" href="#internals">Internals</a><ul>
<li><a class="reference internal" href="#new-transformedpatchpath-caching-object">New TransformedPatchPath caching object</a></li>
<li><a class="reference internal" href="#abstract-base-class-for-movie-writers">Abstract base class for movie writers</a></li>
<li><a class="reference internal" href="#stricter-validation-of-line-style-rcparams">Stricter validation of line style rcParams</a></li>
<li><a class="reference internal" href="#pytest">pytest</a></li>
</ul>
</li>
<li><a class="reference internal" href="#performance">Performance</a><ul>
<li><a class="reference internal" href="#path-simplification-updates">Path simplification updates</a></li>
<li><a class="reference internal" href="#implement-intersects-bbox-in-c">Implement intersects_bbox in c++</a></li>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#previous-whats-new">Previous Whats New</a></li>
</ul>
</li>
</ul>
<div class="relations">
<h3>Related Topics</h3>
<ul>
<li><a href="../contents.html">Documentation overview</a><ul>
<li><a href="index.html">User’s Guide</a><ul>
<li>Previous: <a href="event_handling.html" title="previous chapter">Event handling and picking</a></li>
<li>Next: <a href="prev_whats_new/changelog.html" title="next chapter">List of changes to Matplotlib prior to 2015</a></li>
</ul></li>
</ul></li>
</ul>
</div>
<div role="note" aria-label="source link">
<h3>This Page</h3>
<ul class="this-page-menu">
<li><a href="../_sources/users/whats_new.rst.txt"
rel="nofollow">Show Source</a></li>
</ul>
</div>
<div id="searchbox" style="display: none" role="search">
<h3>Quick search</h3>
<form class="search" action="../search.html" method="get">
<div><input type="text" name="q" /></div>
<div><input type="submit" value="Go" /></div>
<input type="hidden" name="check_keywords" value="yes" />
<input type="hidden" name="area" value="default" />
</form>
</div>
<script type="text/javascript">$('#searchbox').show(0);</script>
</div>
</div>
<div class="document">
<div class="documentwrapper">
<div class="bodywrapper">
<div class="body">
<div class="section" id="what-s-new-in-matplotlib">
<span id="whats-new"></span><h1><a class="toc-backref" href="#id5">What’s new in Matplotlib</a><a class="headerlink" href="#what-s-new-in-matplotlib" title="Permalink to this headline">¶</a></h1>
<p>For a list of all of the issues and pull requests since the last
revision, see the <a class="reference internal" href="github_stats.html#github-stats"><span class="std std-ref">GitHub Stats</span></a>.</p>
<div class="contents topic" id="table-of-contents">
<p class="topic-title first">Table of Contents</p>
<ul class="simple">
<li><a class="reference internal" href="#what-s-new-in-matplotlib" id="id5">What’s new in Matplotlib</a><ul>
<li><a class="reference internal" href="#new-in-matplotlib-2-1" id="id6">New in Matplotlib 2.1</a><ul>
<li><a class="reference internal" href="#documentation" id="id7">Documentation</a></li>
<li><a class="reference internal" href="#new-features" id="id8">New features</a><ul>
<li><a class="reference internal" href="#string-categorical-values" id="id9">String categorical values</a></li>
<li><a class="reference internal" href="#interactive-js-widgets-for-animation" id="id10">Interactive JS widgets for animation</a></li>
<li><a class="reference internal" href="#enhancements-to-polar-plot" id="id11">Enhancements to polar plot</a></li>
<li><a class="reference internal" href="#figure-class-now-has-subplots-method" id="id12"><code class="docutils literal"><span class="pre">Figure</span></code> class now has <code class="docutils literal"><span class="pre">subplots</span></code> method</a></li>
<li><a class="reference internal" href="#metadata-savefig-keyword-argument" id="id13">Metadata savefig keyword argument</a></li>
<li><a class="reference internal" href="#busy-cursor" id="id14">Busy Cursor</a></li>
<li><a class="reference internal" href="#polygonselector" id="id15">PolygonSelector</a></li>
<li><a class="reference internal" href="#added-matplotlib-ticker-percentformatter" id="id16">Added <a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.PercentFormatter" title="matplotlib.ticker.PercentFormatter"><code class="xref py py-obj docutils literal"><span class="pre">matplotlib.ticker.PercentFormatter</span></code></a></a></li>
<li><a class="reference internal" href="#reproducible-ps-pdf-and-svg-output" id="id17">Reproducible PS, PDF and SVG output</a></li>
<li><a class="reference internal" href="#orthographic-projection-for-mplot3d" id="id18">Orthographic projection for mplot3d</a></li>
<li><a class="reference internal" href="#voxels-function-for-mplot3d" id="id19"><code class="docutils literal"><span class="pre">voxels</span></code> function for mplot3d</a></li>
</ul>
</li>
<li><a class="reference internal" href="#improvements" id="id20">Improvements</a><ul>
<li><a class="reference internal" href="#checkbuttons-widget-get-status-function" id="id21">CheckButtons widget <code class="docutils literal"><span class="pre">get_status</span></code> function</a></li>
<li><a class="reference internal" href="#add-fill-bar-argument-to-anchoredsizebar" id="id22">Add <code class="docutils literal"><span class="pre">fill_bar</span></code> argument to <code class="docutils literal"><span class="pre">AnchoredSizeBar</span></code></a></li>
<li><a class="reference internal" href="#annotation-can-use-a-default-arrow-style" id="id23">Annotation can use a default arrow style</a></li>
<li><a class="reference internal" href="#barbs-and-quiver-support-dates" id="id24">Barbs and Quiver Support Dates</a></li>
<li><a class="reference internal" href="#hexbin-default-line-color" id="id25">Hexbin default line color</a></li>
<li><a class="reference internal" href="#figure-legend-can-be-called-without-arguments" id="id26">Figure.legend() can be called without arguments</a></li>
<li><a class="reference internal" href="#multiple-legend-keys-for-legend-entries" id="id27">Multiple legend keys for legend entries</a></li>
<li><a class="reference internal" href="#new-parameter-clear-for-figure" id="id28">New parameter <code class="xref py py-obj docutils literal"><span class="pre">clear</span></code> for <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"><span class="pre">figure()</span></code></a></a></li>
<li><a class="reference internal" href="#specify-minimum-value-to-format-as-scalar-for-logformattermathtext" id="id29">Specify minimum value to format as scalar for <code class="docutils literal"><span class="pre">LogFormatterMathtext</span></code></a></li>
<li><a class="reference internal" href="#new-quiverkey-angle-keyword-argument" id="id30">New quiverkey angle keyword argument</a></li>
<li><a class="reference internal" href="#colormap-reversed-method" id="id31">Colormap reversed method</a></li>
<li><a class="reference internal" href="#artist-setp-and-pyplot-setp-accept-a-file-argument" id="id32"><code class="xref py py-obj docutils literal"><span class="pre">Artist.setp</span></code> (and <code class="xref py py-obj docutils literal"><span class="pre">pyplot.setp</span></code>) accept a <code class="docutils literal"><span class="pre">file</span></code> argument</a></li>
<li><a class="reference internal" href="#streamplot-streamline-generation-more-configurable" id="id33"><code class="docutils literal"><span class="pre">streamplot</span></code> streamline generation more configurable</a></li>
<li><a class="reference internal" href="#axis-set-tick-params-now-responds-to-rotation" id="id34"><code class="xref py py-obj docutils literal"><span class="pre">Axis.set_tick_params</span></code> now responds to <code class="docutils literal"><span class="pre">rotation</span></code></a></li>
<li><a class="reference internal" href="#shading-in-3d-bar-plots" id="id35">Shading in 3D bar plots</a></li>
<li><a class="reference internal" href="#new-which-parameter-for-autofmt-xdate" id="id36">New <code class="docutils literal"><span class="pre">which</span></code> Parameter for <code class="docutils literal"><span class="pre">autofmt_xdate</span></code></a></li>
<li><a class="reference internal" href="#new-figure-parameter-for-subplot2grid" id="id37">New Figure Parameter for <code class="docutils literal"><span class="pre">subplot2grid</span></code></a></li>
<li><a class="reference internal" href="#interpolation-in-fill-betweenx" id="id38">Interpolation in <code class="docutils literal"><span class="pre">fill_betweenx</span></code></a></li>
<li><a class="reference internal" href="#new-keyword-argument-sep-for-engformatter" id="id39">New keyword argument <code class="docutils literal"><span class="pre">sep</span></code> for EngFormatter</a></li>
<li><a class="reference internal" href="#extend-matplotlibrc-behavior" id="id40">Extend <code class="docutils literal"><span class="pre">MATPLOTLIBRC</span></code> behavior</a></li>
<li><a class="reference internal" href="#density-kwarg-to-hist" id="id41"><code class="docutils literal"><span class="pre">density</span></code> kwarg to hist</a></li>
</ul>
</li>
<li><a class="reference internal" href="#internals" id="id42">Internals</a><ul>
<li><a class="reference internal" href="#new-transformedpatchpath-caching-object" id="id43">New TransformedPatchPath caching object</a></li>
<li><a class="reference internal" href="#abstract-base-class-for-movie-writers" id="id44">Abstract base class for movie writers</a></li>
<li><a class="reference internal" href="#stricter-validation-of-line-style-rcparams" id="id45">Stricter validation of line style rcParams</a></li>
<li><a class="reference internal" href="#pytest" id="id46">pytest</a></li>
</ul>
</li>
<li><a class="reference internal" href="#performance" id="id47">Performance</a><ul>
<li><a class="reference internal" href="#path-simplification-updates" id="id48">Path simplification updates</a></li>
<li><a class="reference internal" href="#implement-intersects-bbox-in-c" id="id49">Implement intersects_bbox in c++</a></li>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#previous-whats-new" id="id50">Previous Whats New</a></li>
</ul>
</li>
</ul>
</div>
<div class="section" id="new-in-matplotlib-2-1">
<h2><a class="toc-backref" href="#id6">New in Matplotlib 2.1</a><a class="headerlink" href="#new-in-matplotlib-2-1" title="Permalink to this headline">¶</a></h2>
<div class="section" id="documentation">
<h3><a class="toc-backref" href="#id7">Documentation</a><a class="headerlink" href="#documentation" title="Permalink to this headline">¶</a></h3>
<p>The examples have been migrated to use <a class="reference external" href="https://sphinx-gallery.readthedocs.io/en/latest/">sphinx gallery</a>. This allows
better mixing of prose and code in the examples, provides links to
download the examples as both a Python script and a Jupyter notebook,
and improves the thumbnail galleries. The examples have been
re-organized into <a class="reference internal" href="../tutorials/index.html#tutorials"><span class="std std-ref">Tutorials</span></a> and a <a class="reference internal" href="../gallery/index.html#gallery"><span class="std std-ref">Gallery</span></a>.</p>
<p>Many docstrings and examples have been clarified and improved.</p>
</div>
<div class="section" id="new-features">
<h3><a class="toc-backref" href="#id8">New features</a><a class="headerlink" href="#new-features" title="Permalink to this headline">¶</a></h3>
<div class="section" id="string-categorical-values">
<h4><a class="toc-backref" href="#id9">String categorical values</a><a class="headerlink" href="#string-categorical-values" title="Permalink to this headline">¶</a></h4>
<p>All plotting functions now support string categorical values as input.
For example:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'apples'</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span> <span class="s1">'oranges'</span><span class="p">:</span> <span class="mi">15</span><span class="p">,</span> <span class="s1">'lemons'</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span> <span class="s1">'limes'</span><span class="p">:</span> <span class="mi">20</span><span class="p">}</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
<span class="n">ax</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">keys</span><span class="p">(),</span> <span class="n">data</span><span class="o">.</span><span class="n">values</span><span class="p">(),</span> <span class="n">color</span><span class="o">=</span><span class="s1">'lightgray'</span><span class="p">)</span>
</pre></div>
</div>
<p>(<a class="reference external" href="../users/whats_new-1.py">Source code</a>, <a class="reference external" href="../users/whats_new-1.png">png</a>, <a class="reference external" href="../users/whats_new-1.pdf">pdf</a>)</p>
<div class="figure align-center">
<img alt="../_images/whats_new-1.png" src="../_images/whats_new-1.png" />
</div>
</div>
<div class="section" id="interactive-js-widgets-for-animation">
<h4><a class="toc-backref" href="#id10">Interactive JS widgets for animation</a><a class="headerlink" href="#interactive-js-widgets-for-animation" title="Permalink to this headline">¶</a></h4>
<p>Jake Vanderplas’ JSAnimation package has been merged into Matplotlib. This
adds to Matplotlib the <code class="xref py py-obj docutils literal"><span class="pre">HTMLWriter</span></code> class for
generating a JavaScript HTML animation, suitable for the IPython notebook.
This can be activated by default by setting the <code class="docutils literal"><span class="pre">animation.html</span></code> rc
parameter to <code class="docutils literal"><span class="pre">jshtml</span></code>. One can also call the
<a class="reference internal" href="../api/_as_gen/matplotlib.animation.Animation.html#matplotlib.animation.Animation.to_jshtml" title="matplotlib.animation.Animation.to_jshtml"><code class="xref py py-obj docutils literal"><span class="pre">to_jshtml</span></code></a> method to manually convert an
animation. This can be displayed using IPython’s <code class="docutils literal"><span class="pre">HTML</span></code> display class:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">IPython.display</span> <span class="k">import</span> <span class="n">HTML</span>
<span class="n">HTML</span><span class="p">(</span><span class="n">animation</span><span class="o">.</span><span class="n">to_jshtml</span><span class="p">())</span>
</pre></div>
</div>
<p>The <code class="xref py py-obj docutils literal"><span class="pre">HTMLWriter</span></code> class can also be used to generate
an HTML file by asking for the <code class="docutils literal"><span class="pre">html</span></code> writer.</p>
</div>
<div class="section" id="enhancements-to-polar-plot">
<h4><a class="toc-backref" href="#id11">Enhancements to polar plot</a><a class="headerlink" href="#enhancements-to-polar-plot" title="Permalink to this headline">¶</a></h4>
<p>The polar axes transforms have been greatly re-factored to allow for more
customization of view limits and tick labelling. Additional options for view
limits allow for creating an annulus, a sector, or some combination of the two.</p>
<p>The <a class="reference internal" href="../api/projections_api.html#matplotlib.projections.polar.PolarAxes.set_rorigin" title="matplotlib.projections.polar.PolarAxes.set_rorigin"><code class="xref py py-meth docutils literal"><span class="pre">set_rorigin()</span></code></a> method may
be used to provide an offset to the minimum plotting radius, producing an
annulus.</p>
<p>The <a class="reference internal" href="../api/projections_api.html#matplotlib.projections.polar.PolarAxes.set_theta_zero_location" title="matplotlib.projections.polar.PolarAxes.set_theta_zero_location"><code class="xref py py-meth docutils literal"><span class="pre">set_theta_zero_location()</span></code></a>
method now has an optional <code class="code docutils literal"><span class="pre">offset</span></code> argument. This argument may be used
to further specify the zero location based on the given anchor point.</p>
<div class="figure align-center" id="id1">
<a class="reference external image-reference" href="../gallery/pie_and_polar_charts/polar_scatter.html#scatter-plot-on-polar-axis-with-offset-origin"><img alt="../_images/sphx_glr_polar_scatter_002.png" src="../_images/sphx_glr_polar_scatter_002.png" style="width: 448.0px; height: 336.0px;" /></a>
<p class="caption"><span class="caption-text">Polar Offset Demo</span></p>
</div>
<p>The <a class="reference internal" href="../api/projections_api.html#matplotlib.projections.polar.PolarAxes.set_thetamin" title="matplotlib.projections.polar.PolarAxes.set_thetamin"><code class="xref py py-meth docutils literal"><span class="pre">set_thetamin()</span></code></a> and
<a class="reference internal" href="../api/projections_api.html#matplotlib.projections.polar.PolarAxes.set_thetamax" title="matplotlib.projections.polar.PolarAxes.set_thetamax"><code class="xref py py-meth docutils literal"><span class="pre">set_thetamax()</span></code></a> methods may
be used to limit the range of angles plotted, producing sectors of a circle.</p>
<div class="figure align-center" id="id2">
<a class="reference external image-reference" href="../gallery/pie_and_polar_charts/polar_scatter.html#scatter-plot-on-polar-axis-confined-to-a-sector"><img alt="../_images/sphx_glr_polar_scatter_003.png" src="../_images/sphx_glr_polar_scatter_003.png" style="width: 448.0px; height: 336.0px;" /></a>
<p class="caption"><span class="caption-text">Polar Sector Demo</span></p>
</div>
<p>Previous releases allowed plots containing negative radii for which the
negative values are simply used as labels, and the real radius is shifted by
the configured minimum. This release also allows negative radii to be used for
grids and ticks, which were previously silently ignored.</p>
<p>Radial ticks have been modified to be parallel to the circular grid
line, and angular ticks have been modified to be parallel to the grid
line. It may also be useful to rotate tick <em>labels</em> to match the
boundary. Calling <code class="docutils literal"><span class="pre">ax.tick_params(rotation='auto')</span></code> will enable the
new behavior: radial tick labels will be parallel to the circular grid
line, and angular tick labels will be perpendicular to the grid line
(i.e., parallel to the outer boundary).</p>
</div>
<div class="section" id="figure-class-now-has-subplots-method">
<h4><a class="toc-backref" href="#id12"><code class="docutils literal"><span class="pre">Figure</span></code> class now has <code class="docutils literal"><span class="pre">subplots</span></code> method</a><a class="headerlink" href="#figure-class-now-has-subplots-method" title="Permalink to this headline">¶</a></h4>
<p>The <a class="reference internal" href="../api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure" title="matplotlib.figure.Figure"><code class="xref py py-class docutils literal"><span class="pre">Figure</span></code></a> class now has a
<a class="reference internal" href="../api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.subplots" title="matplotlib.figure.Figure.subplots"><code class="xref py py-meth docutils literal"><span class="pre">subplots()</span></code></a> method which behaves the same as
<a class="reference internal" href="../api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots"><code class="xref py py-func docutils literal"><span class="pre">pyplot.subplots()</span></code></a> but on an existing figure.</p>
</div>
<div class="section" id="metadata-savefig-keyword-argument">
<h4><a class="toc-backref" href="#id13">Metadata savefig keyword argument</a><a class="headerlink" href="#metadata-savefig-keyword-argument" title="Permalink to this headline">¶</a></h4>
<p><a class="reference internal" href="../api/_as_gen/matplotlib.pyplot.savefig.html#matplotlib.pyplot.savefig" title="matplotlib.pyplot.savefig"><code class="xref py py-func docutils literal"><span class="pre">savefig()</span></code></a> now accepts <code class="docutils literal"><span class="pre">metadata</span></code> as a keyword
argument. It can be used to store key/value pairs in the image metadata.</p>
<ul class="simple">
<li>‘png’ with Agg backend</li>
<li>‘pdf’ with PDF backend (see
<a class="reference internal" href="../api/backend_pdf_api.html#matplotlib.backends.backend_pdf.PdfFile.writeInfoDict" title="matplotlib.backends.backend_pdf.PdfFile.writeInfoDict"><code class="xref py py-func docutils literal"><span class="pre">writeInfoDict()</span></code></a> for a list of
supported keywords)</li>
<li>‘eps’ and ‘ps’ with PS backend (only ‘Creator’ key is accepted)</li>
</ul>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s1">'test.png'</span><span class="p">,</span> <span class="n">metadata</span><span class="o">=</span><span class="p">{</span><span class="s1">'Software'</span><span class="p">:</span> <span class="s1">'My awesome software'</span><span class="p">})</span>
</pre></div>
</div>
</div>
<div class="section" id="busy-cursor">
<h4><a class="toc-backref" href="#id14">Busy Cursor</a><a class="headerlink" href="#busy-cursor" title="Permalink to this headline">¶</a></h4>
<p>The interactive GUI backends will now change the cursor to busy when
Matplotlib is rendering the canvas.</p>
</div>
<div class="section" id="polygonselector">
<h4><a class="toc-backref" href="#id15">PolygonSelector</a><a class="headerlink" href="#polygonselector" title="Permalink to this headline">¶</a></h4>
<p>A <a class="reference internal" href="../api/widgets_api.html#matplotlib.widgets.PolygonSelector" title="matplotlib.widgets.PolygonSelector"><code class="xref py py-class docutils literal"><span class="pre">PolygonSelector</span></code></a> class has been added to
<a class="reference internal" href="../api/widgets_api.html#module-matplotlib.widgets" title="matplotlib.widgets"><code class="xref py py-mod docutils literal"><span class="pre">matplotlib.widgets</span></code></a>. See
<a class="reference internal" href="../gallery/widgets/polygon_selector_demo.html#sphx-glr-gallery-widgets-polygon-selector-demo-py"><span class="std std-ref">Polygon Selector Demo</span></a> for details.</p>
</div>
<div class="section" id="added-matplotlib-ticker-percentformatter">
<h4><a class="toc-backref" href="#id16">Added <a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.PercentFormatter" title="matplotlib.ticker.PercentFormatter"><code class="xref py py-obj docutils literal"><span class="pre">matplotlib.ticker.PercentFormatter</span></code></a></a><a class="headerlink" href="#added-matplotlib-ticker-percentformatter" title="Permalink to this headline">¶</a></h4>
<p>The new <a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.PercentFormatter" title="matplotlib.ticker.PercentFormatter"><code class="xref py py-obj docutils literal"><span class="pre">PercentFormatter</span></code></a> formatter has some nice
features like being able to convert from arbitrary data scales to
percents, a customizable percent symbol and either automatic or manual
control over the decimal points.</p>
</div>
<div class="section" id="reproducible-ps-pdf-and-svg-output">
<h4><a class="toc-backref" href="#id17">Reproducible PS, PDF and SVG output</a><a class="headerlink" href="#reproducible-ps-pdf-and-svg-output" title="Permalink to this headline">¶</a></h4>
<p>The <code class="docutils literal"><span class="pre">SOURCE_DATE_EPOCH</span></code> environment variable can now be used to set
the timestamp value in the PS and PDF outputs. See <a class="reference external" href="https://reproducible-builds.org/specs/source-date-epoch/">source date epoch</a>.</p>
<p>Alternatively, calling <code class="docutils literal"><span class="pre">savefig</span></code> with <code class="docutils literal"><span class="pre">metadata={'creationDate':</span> <span class="pre">None}</span></code>
will omit the timestamp altogether for the PDF backend.</p>
<p>The reproducibility of the output from the PS and PDF backends has so
far been tested using various plot elements but only default values of
options such as <code class="docutils literal"><span class="pre">{ps,pdf}.fonttype</span></code> that can affect the output at a
low level, and not with the mathtext or usetex features. When
Matplotlib calls external tools (such as PS distillers or LaTeX) their
versions need to be kept constant for reproducibility, and they may
add sources of nondeterminism outside the control of Matplotlib.</p>
<p>For SVG output, the <code class="docutils literal"><span class="pre">svg.hashsalt</span></code> rc parameter has been added in an
earlier release. This parameter changes some random identifiers in the
SVG file to be deterministic. The downside of this setting is that if
more than one file is generated using deterministic identifiers
and they end up as parts of one larger document, the identifiers can
collide and cause the different parts to affect each other.</p>
<p>These features are now enabled in the tests for the PDF and SVG
backends, so most test output files (but not all of them) are now
deterministic.</p>
</div>
<div class="section" id="orthographic-projection-for-mplot3d">
<h4><a class="toc-backref" href="#id18">Orthographic projection for mplot3d</a><a class="headerlink" href="#orthographic-projection-for-mplot3d" title="Permalink to this headline">¶</a></h4>
<p><a class="reference internal" href="../api/_as_gen/mpl_toolkits.mplot3d.axes3d.Axes3D.html#mpl_toolkits.mplot3d.axes3d.Axes3D" title="mpl_toolkits.mplot3d.axes3d.Axes3D"><code class="xref py py-class docutils literal"><span class="pre">Axes3D</span></code></a> now accepts <code class="docutils literal"><span class="pre">proj_type</span></code> keyword
argument and has a method <a class="reference internal" href="../api/_as_gen/mpl_toolkits.mplot3d.axes3d.Axes3D.html#mpl_toolkits.mplot3d.axes3d.Axes3D.set_proj_type" title="mpl_toolkits.mplot3d.axes3d.Axes3D.set_proj_type"><code class="xref py py-meth docutils literal"><span class="pre">set_proj_type()</span></code></a>.
The default option is <code class="docutils literal"><span class="pre">'persp'</span></code> as before, and supplying <code class="docutils literal"><span class="pre">'ortho'</span></code> enables
orthographic view.</p>
<p>Compare the z-axis which is vertical in orthographic view, but slightly skewed
in the perspective view.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">mpl_toolkits.mplot3d</span> <span class="kn">import</span> <span class="n">Axes3D</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
<span class="n">ax1</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><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="n">projection</span><span class="o">=</span><span class="s1">'3d'</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_proj_type</span><span class="p">(</span><span class="s1">'persp'</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'Perspective (default)'</span><span class="p">)</span>
<span class="n">ax2</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><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">2</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="s1">'3d'</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_proj_type</span><span class="p">(</span><span class="s1">'ortho'</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'Orthographic'</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<p>(<a class="reference external" href="../users/whats_new-2.py">Source code</a>, <a class="reference external" href="../users/whats_new-2.png">png</a>, <a class="reference external" href="../users/whats_new-2.pdf">pdf</a>)</p>
<div class="figure align-center">
<img alt="../_images/whats_new-2.png" src="../_images/whats_new-2.png" />
</div>
</div>
<div class="section" id="voxels-function-for-mplot3d">
<h4><a class="toc-backref" href="#id19"><code class="docutils literal"><span class="pre">voxels</span></code> function for mplot3d</a><a class="headerlink" href="#voxels-function-for-mplot3d" title="Permalink to this headline">¶</a></h4>
<p><a class="reference internal" href="../api/_as_gen/mpl_toolkits.mplot3d.axes3d.Axes3D.html#mpl_toolkits.mplot3d.axes3d.Axes3D" title="mpl_toolkits.mplot3d.axes3d.Axes3D"><code class="xref py py-class docutils literal"><span class="pre">Axes3D</span></code></a> now has a
<a class="reference internal" href="../api/_as_gen/mpl_toolkits.mplot3d.axes3d.Axes3D.html#mpl_toolkits.mplot3d.axes3d.Axes3D.voxels" title="mpl_toolkits.mplot3d.axes3d.Axes3D.voxels"><code class="xref py py-obj docutils literal"><span class="pre">voxels</span></code></a> method, for visualizing boolean 3D
data. Uses could include plotting a sparse 3D heat map, or visualizing a
volumetric model.</p>
<div class="figure align-center" id="id3">
<a class="reference external image-reference" href="../gallery/mplot3d/voxels_numpy_logo.html"><img alt="../_images/sphx_glr_voxels_numpy_logo_001.png" src="../_images/sphx_glr_voxels_numpy_logo_001.png" style="width: 448.0px; height: 336.0px;" /></a>
<p class="caption"><span class="caption-text">Voxel Demo</span></p>
</div>
</div>
</div>
<div class="section" id="improvements">
<h3><a class="toc-backref" href="#id20">Improvements</a><a class="headerlink" href="#improvements" title="Permalink to this headline">¶</a></h3>
<div class="section" id="checkbuttons-widget-get-status-function">
<h4><a class="toc-backref" href="#id21">CheckButtons widget <code class="docutils literal"><span class="pre">get_status</span></code> function</a><a class="headerlink" href="#checkbuttons-widget-get-status-function" title="Permalink to this headline">¶</a></h4>
<p>A <a class="reference internal" href="../api/widgets_api.html#matplotlib.widgets.CheckButtons.get_status" title="matplotlib.widgets.CheckButtons.get_status"><code class="xref py py-func docutils literal"><span class="pre">get_status()</span></code></a> method has been added to
the <a class="reference internal" href="../api/widgets_api.html#matplotlib.widgets.CheckButtons" title="matplotlib.widgets.CheckButtons"><code class="xref py py-class docutils literal"><span class="pre">matplotlib.widgets.CheckButtons</span></code></a> class. This <code class="docutils literal"><span class="pre">get_status</span></code> method
allows user to query the status (True/False) of all of the buttons in the
<code class="docutils literal"><span class="pre">CheckButtons</span></code> object.</p>
</div>
<div class="section" id="add-fill-bar-argument-to-anchoredsizebar">
<h4><a class="toc-backref" href="#id22">Add <code class="docutils literal"><span class="pre">fill_bar</span></code> argument to <code class="docutils literal"><span class="pre">AnchoredSizeBar</span></code></a><a class="headerlink" href="#add-fill-bar-argument-to-anchoredsizebar" title="Permalink to this headline">¶</a></h4>
<p>The <code class="docutils literal"><span class="pre">mpl_toolkits</span></code> class
<code class="xref py py-class docutils literal"><span class="pre">AnchoredSizeBar</span></code> now has an
additional <code class="docutils literal"><span class="pre">fill_bar</span></code> argument, which makes the size bar a solid rectangle
instead of just drawing the border of the rectangle. The default is <code class="docutils literal"><span class="pre">None</span></code>,
and whether or not the bar will be filled by default depends on the value of
<code class="docutils literal"><span class="pre">size_vertical</span></code>. If <code class="docutils literal"><span class="pre">size_vertical</span></code> is nonzero, <code class="docutils literal"><span class="pre">fill_bar</span></code> will be set to
<code class="docutils literal"><span class="pre">True</span></code>. If <code class="docutils literal"><span class="pre">size_vertical</span></code> is zero then <code class="docutils literal"><span class="pre">fill_bar</span></code> will be set to
<code class="docutils literal"><span class="pre">False</span></code>. If you wish to override this default behavior, set <code class="docutils literal"><span class="pre">fill_bar</span></code> to
<code class="docutils literal"><span class="pre">True</span></code> or <code class="docutils literal"><span class="pre">False</span></code> to unconditionally always or never use a filled patch
rectangle for the size bar.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">mpl_toolkits.axes_grid1.anchored_artists</span> <span class="kn">import</span> <span class="n">AnchoredSizeBar</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
<span class="n">bar0</span> <span class="o">=</span> <span class="n">AnchoredSizeBar</span><span class="p">(</span><span class="n">ax</span><span class="o">.</span><span class="n">transData</span><span class="p">,</span> <span class="mf">0.3</span><span class="p">,</span> <span class="s1">'unfilled'</span><span class="p">,</span> <span class="n">loc</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">frameon</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span>
<span class="n">size_vertical</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">fill_bar</span><span class="o">=</span><span class="bp">False</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">add_artist</span><span class="p">(</span><span class="n">bar0</span><span class="p">)</span>
<span class="n">bar1</span> <span class="o">=</span> <span class="n">AnchoredSizeBar</span><span class="p">(</span><span class="n">ax</span><span class="o">.</span><span class="n">transData</span><span class="p">,</span> <span class="mf">0.3</span><span class="p">,</span> <span class="s1">'filled'</span><span class="p">,</span> <span class="n">loc</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">frameon</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span>
<span class="n">size_vertical</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">fill_bar</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">add_artist</span><span class="p">(</span><span class="n">bar1</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<p>(<a class="reference external" href="../users/whats_new-3.py">Source code</a>, <a class="reference external" href="../users/whats_new-3.png">png</a>, <a class="reference external" href="../users/whats_new-3.pdf">pdf</a>)</p>
<div class="figure align-center">
<img alt="../_images/whats_new-3.png" src="../_images/whats_new-3.png" />
</div>
</div>
<div class="section" id="annotation-can-use-a-default-arrow-style">
<h4><a class="toc-backref" href="#id23">Annotation can use a default arrow style</a><a class="headerlink" href="#annotation-can-use-a-default-arrow-style" title="Permalink to this headline">¶</a></h4>
<p>Annotations now use the default arrow style when setting <code class="docutils literal"><span class="pre">arrowprops={}</span></code>,
rather than no arrow (the new behavior actually matches the documentation).</p>
</div>
<div class="section" id="barbs-and-quiver-support-dates">
<h4><a class="toc-backref" href="#id24">Barbs and Quiver Support Dates</a><a class="headerlink" href="#barbs-and-quiver-support-dates" title="Permalink to this headline">¶</a></h4>
<p>When using the <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.quiver.html#matplotlib.axes.Axes.quiver" title="matplotlib.axes.Axes.quiver"><code class="xref py py-func docutils literal"><span class="pre">quiver()</span></code></a> and
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.barbs.html#matplotlib.axes.Axes.barbs" title="matplotlib.axes.Axes.barbs"><code class="xref py py-func docutils literal"><span class="pre">barbs()</span></code></a> plotting methods, it is now possible to
pass dates, just like for other methods like <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-func docutils literal"><span class="pre">plot()</span></code></a>.
This also allows these functions to handle values that need unit-conversion
applied.</p>
</div>
<div class="section" id="hexbin-default-line-color">
<h4><a class="toc-backref" href="#id25">Hexbin default line color</a><a class="headerlink" href="#hexbin-default-line-color" title="Permalink to this headline">¶</a></h4>
<p>The default <code class="docutils literal"><span class="pre">linecolor</span></code> keyword argument for <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.hexbin.html#matplotlib.axes.Axes.hexbin" title="matplotlib.axes.Axes.hexbin"><code class="xref py py-func docutils literal"><span class="pre">hexbin()</span></code></a>
is now <code class="docutils literal"><span class="pre">'face'</span></code>, and supplying <code class="docutils literal"><span class="pre">'none'</span></code> now prevents lines from being drawn
around the hexagons.</p>
</div>
<div class="section" id="figure-legend-can-be-called-without-arguments">
<h4><a class="toc-backref" href="#id26">Figure.legend() can be called without arguments</a><a class="headerlink" href="#figure-legend-can-be-called-without-arguments" title="Permalink to this headline">¶</a></h4>
<p>Calling <a class="reference internal" href="../api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.legend" title="matplotlib.figure.Figure.legend"><code class="xref py py-meth docutils literal"><span class="pre">Figure.legend()</span></code></a> can now be done with no arguments. In this case
a legend will be created that contains all the artists on all the axes
contained within the figure.</p>
</div>
<div class="section" id="multiple-legend-keys-for-legend-entries">
<h4><a class="toc-backref" href="#id27">Multiple legend keys for legend entries</a><a class="headerlink" href="#multiple-legend-keys-for-legend-entries" title="Permalink to this headline">¶</a></h4>
<p>A legend entry can now contain more than one legend key. The extended
<a class="reference internal" href="../api/legend_api.html#matplotlib.legend_handler.HandlerTuple" title="matplotlib.legend_handler.HandlerTuple"><code class="xref py py-obj docutils literal"><span class="pre">HandlerTuple</span></code></a> class now accepts two parameters:
<code class="docutils literal"><span class="pre">ndivide</span></code> divides the legend area in the specified number of sections;
<code class="docutils literal"><span class="pre">pad</span></code> changes the padding between the legend keys.</p>
<div class="figure align-center" id="id4">
<a class="reference external image-reference" href="../gallery/text_labels_and_annotations/legend_demo.html"><img alt="../_images/sphx_glr_legend_demo_004.png" src="../_images/sphx_glr_legend_demo_004.png" style="width: 448.0px; height: 336.0px;" /></a>
<p class="caption"><span class="caption-text">Multiple Legend Keys</span></p>
</div>
</div>
<div class="section" id="new-parameter-clear-for-figure">
<h4><a class="toc-backref" href="#id28">New parameter <code class="xref py py-obj docutils literal"><span class="pre">clear</span></code> for <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"><span class="pre">figure()</span></code></a></a><a class="headerlink" href="#new-parameter-clear-for-figure" title="Permalink to this headline">¶</a></h4>
<p>When the pyplot’s function <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"><span class="pre">figure()</span></code></a> is called
with a <code class="docutils literal"><span class="pre">num</span></code> parameter, a new window is only created if no existing
window with the same value exists. A new bool parameter <code class="xref py py-obj docutils literal"><span class="pre">clear</span></code> was
added for explicitly clearing its existing contents. This is particularly
useful when utilized in interactive sessions. Since
<a class="reference internal" href="../api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots"><code class="xref py py-func docutils literal"><span class="pre">subplots()</span></code></a> also accepts keyword arguments
from <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"><span class="pre">figure()</span></code></a>, it can also be used there:</p>
<div class="highlight-default"><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="n">fig0</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">num</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">fig0</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s2">"A fancy plot"</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"fig0.texts: "</span><span class="p">,</span> <span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="n">get_text</span><span class="p">()</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">fig0</span><span class="o">.</span><span class="n">texts</span><span class="p">])</span>
<span class="n">fig1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">num</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">clear</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="c1"># do not clear contents of window</span>
<span class="n">fig1</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="s2">"Really fancy!"</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"fig0 is fig1: "</span><span class="p">,</span> <span class="n">fig0</span> <span class="ow">is</span> <span class="n">fig1</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"fig1.texts: "</span><span class="p">,</span> <span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="n">get_text</span><span class="p">()</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">fig1</span><span class="o">.</span><span class="n">texts</span><span class="p">])</span>
<span class="n">fig2</span><span class="p">,</span> <span class="n">ax2</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">num</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">clear</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="c1"># clear contents</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"fig0 is fig2: "</span><span class="p">,</span> <span class="n">fig0</span> <span class="ow">is</span> <span class="n">fig2</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">"fig2.texts: "</span><span class="p">,</span> <span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="n">get_text</span><span class="p">()</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">fig2</span><span class="o">.</span><span class="n">texts</span><span class="p">])</span>
<span class="c1"># The output:</span>
<span class="c1"># fig0.texts: ['A fancy plot']</span>
<span class="c1"># fig0 is fig1: True</span>
<span class="c1"># fig1.texts: ['A fancy plot', 'Really fancy!']</span>
<span class="c1"># fig0 is fig2: True</span>
<span class="c1"># fig2.texts: []</span>
</pre></div>
</div>
</div>
<div class="section" id="specify-minimum-value-to-format-as-scalar-for-logformattermathtext">
<h4><a class="toc-backref" href="#id29">Specify minimum value to format as scalar for <code class="docutils literal"><span class="pre">LogFormatterMathtext</span></code></a><a class="headerlink" href="#specify-minimum-value-to-format-as-scalar-for-logformattermathtext" title="Permalink to this headline">¶</a></h4>
<p><a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.LogFormatterMathtext" title="matplotlib.ticker.LogFormatterMathtext"><code class="xref py py-class docutils literal"><span class="pre">LogFormatterMathtext</span></code></a> now includes the
option to specify a minimum value exponent to format as a scalar
(i.e., 0.001 instead of 10<sup>-3</sup>).</p>
</div>
<div class="section" id="new-quiverkey-angle-keyword-argument">
<h4><a class="toc-backref" href="#id30">New quiverkey angle keyword argument</a><a class="headerlink" href="#new-quiverkey-angle-keyword-argument" title="Permalink to this headline">¶</a></h4>
<p>Plotting a <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.quiverkey.html#matplotlib.axes.Axes.quiverkey" title="matplotlib.axes.Axes.quiverkey"><code class="xref py py-func docutils literal"><span class="pre">quiverkey()</span></code></a> now admits the
<code class="docutils literal"><span class="pre">angle</span></code> keyword argument, which sets the angle at which to draw the
key arrow.</p>
</div>
<div class="section" id="colormap-reversed-method">
<h4><a class="toc-backref" href="#id31">Colormap reversed method</a><a class="headerlink" href="#colormap-reversed-method" title="Permalink to this headline">¶</a></h4>
<p>The methods <a class="reference internal" href="../api/_as_gen/matplotlib.colors.LinearSegmentedColormap.html#matplotlib.colors.LinearSegmentedColormap.reversed" title="matplotlib.colors.LinearSegmentedColormap.reversed"><code class="xref py py-meth docutils literal"><span class="pre">matplotlib.colors.LinearSegmentedColormap.reversed()</span></code></a> and
<a class="reference internal" href="../api/_as_gen/matplotlib.colors.ListedColormap.html#matplotlib.colors.ListedColormap.reversed" title="matplotlib.colors.ListedColormap.reversed"><code class="xref py py-meth docutils literal"><span class="pre">matplotlib.colors.ListedColormap.reversed()</span></code></a> return a reversed
instance of the Colormap. This implements a way for any Colormap to be
reversed.</p>
</div>
<div class="section" id="artist-setp-and-pyplot-setp-accept-a-file-argument">
<h4><a class="toc-backref" href="#id32"><code class="xref py py-obj docutils literal"><span class="pre">Artist.setp</span></code> (and <code class="xref py py-obj docutils literal"><span class="pre">pyplot.setp</span></code>) accept a <code class="docutils literal"><span class="pre">file</span></code> argument</a><a class="headerlink" href="#artist-setp-and-pyplot-setp-accept-a-file-argument" title="Permalink to this headline">¶</a></h4>
<p>The argument is keyword-only. It allows an output file other than
<a class="reference external" href="https://docs.python.org/2/library/sys.html#sys.stdout" title="(in Python v2.7)"><code class="xref py py-obj docutils literal"><span class="pre">sys.stdout</span></code></a> to be specified. It works exactly like the <code class="docutils literal"><span class="pre">file</span></code> argument
to <a class="reference external" href="https://docs.python.org/2/library/functions.html#print" title="(in Python v2.7)"><code class="xref py py-obj docutils literal"><span class="pre">print</span></code></a>.</p>
</div>
<div class="section" id="streamplot-streamline-generation-more-configurable">
<h4><a class="toc-backref" href="#id33"><code class="docutils literal"><span class="pre">streamplot</span></code> streamline generation more configurable</a><a class="headerlink" href="#streamplot-streamline-generation-more-configurable" title="Permalink to this headline">¶</a></h4>
<p>The starting point, direction, and length of the stream lines can now
be configured. This allows to follow the vector field for a longer
time and can enhance the visibility of the flow pattern in some use
cases.</p>
</div>
<div class="section" id="axis-set-tick-params-now-responds-to-rotation">
<h4><a class="toc-backref" href="#id34"><code class="xref py py-obj docutils literal"><span class="pre">Axis.set_tick_params</span></code> now responds to <code class="docutils literal"><span class="pre">rotation</span></code></a><a class="headerlink" href="#axis-set-tick-params-now-responds-to-rotation" title="Permalink to this headline">¶</a></h4>
<p>Bulk setting of tick label rotation is now possible via
<a class="reference internal" href="../api/_as_gen/matplotlib.axis.Axis.set_tick_params.html#matplotlib.axis.Axis.set_tick_params" title="matplotlib.axis.Axis.set_tick_params"><code class="xref py py-func docutils literal"><span class="pre">set_tick_params()</span></code></a> using the <code class="docutils literal"><span class="pre">rotation</span></code>
keyword.</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_tick_params</span><span class="p">(</span><span class="n">which</span><span class="o">=</span><span class="s1">'both'</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">90</span><span class="p">)</span>
</pre></div>
</div>
</div>
<div class="section" id="shading-in-3d-bar-plots">
<h4><a class="toc-backref" href="#id35">Shading in 3D bar plots</a><a class="headerlink" href="#shading-in-3d-bar-plots" title="Permalink to this headline">¶</a></h4>
<p>A new <code class="docutils literal"><span class="pre">shade</span></code> parameter has been added the 3D
<a class="reference internal" href="../api/_as_gen/mpl_toolkits.mplot3d.axes3d.Axes3D.html#mpl_toolkits.mplot3d.axes3d.Axes3D.bar" title="mpl_toolkits.mplot3d.axes3d.Axes3D.bar"><code class="xref py py-obj docutils literal"><span class="pre">bar</span></code></a> plotting method. The default behavior
remains to shade the bars, but now users have the option of setting <code class="docutils literal"><span class="pre">shade</span></code>
to <code class="docutils literal"><span class="pre">False</span></code>.</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">mpl_toolkits.mplot3d</span> <span class="kn">import</span> <span class="n">Axes3D</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">2</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">arange</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
<span class="n">x2d</span><span class="p">,</span> <span class="n">y2d</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</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="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">x2d</span><span class="o">.</span><span class="n">ravel</span><span class="p">(),</span> <span class="n">y2d</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span>
<span class="n">z</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="n">dz</span> <span class="o">=</span> <span class="n">x</span> <span class="o">+</span> <span class="n">y</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
<span class="n">ax1</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><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="n">projection</span><span class="o">=</span><span class="s1">'3d'</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">bar3d</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="n">z</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">dz</span><span class="p">,</span> <span class="n">shade</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'Shading On'</span><span class="p">)</span>
<span class="n">ax2</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><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">2</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="s1">'3d'</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">bar3d</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="n">z</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">dz</span><span class="p">,</span> <span class="n">shade</span><span class="o">=</span><span class="bp">False</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'Shading Off'</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<p>(<a class="reference external" href="../users/whats_new-4.py">Source code</a>, <a class="reference external" href="../users/whats_new-4.png">png</a>, <a class="reference external" href="../users/whats_new-4.pdf">pdf</a>)</p>
<div class="figure align-center">
<img alt="../_images/whats_new-4.png" src="../_images/whats_new-4.png" />
</div>
</div>
<div class="section" id="new-which-parameter-for-autofmt-xdate">
<h4><a class="toc-backref" href="#id36">New <code class="docutils literal"><span class="pre">which</span></code> Parameter for <code class="docutils literal"><span class="pre">autofmt_xdate</span></code></a><a class="headerlink" href="#new-which-parameter-for-autofmt-xdate" title="Permalink to this headline">¶</a></h4>
<p>A <code class="docutils literal"><span class="pre">which</span></code> parameter now exists for the method
<a class="reference internal" href="../api/_as_gen/matplotlib.figure.Figure.html#matplotlib.figure.Figure.autofmt_xdate" title="matplotlib.figure.Figure.autofmt_xdate"><code class="xref py py-func docutils literal"><span class="pre">autofmt_xdate()</span></code></a>. This allows a user to format
<code class="docutils literal"><span class="pre">major</span></code>, <code class="docutils literal"><span class="pre">minor</span></code> or <code class="docutils literal"><span class="pre">both</span></code> tick labels selectively. The
default behavior will rotate and align the <code class="docutils literal"><span class="pre">major</span></code> tick labels.</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="o">.</span><span class="n">autofmt_xdate</span><span class="p">(</span><span class="n">bottom</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">ha</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span> <span class="n">which</span><span class="o">=</span><span class="s1">'minor'</span><span class="p">)</span>
</pre></div>
</div>
</div>
<div class="section" id="new-figure-parameter-for-subplot2grid">
<h4><a class="toc-backref" href="#id37">New Figure Parameter for <code class="docutils literal"><span class="pre">subplot2grid</span></code></a><a class="headerlink" href="#new-figure-parameter-for-subplot2grid" title="Permalink to this headline">¶</a></h4>
<p>A <code class="docutils literal"><span class="pre">fig</span></code> parameter now exists for the function
<a class="reference internal" href="../api/_as_gen/matplotlib.pyplot.subplot2grid.html#matplotlib.pyplot.subplot2grid" title="matplotlib.pyplot.subplot2grid"><code class="xref py py-func docutils literal"><span class="pre">subplot2grid()</span></code></a>. This allows a user to specify the
figure where the subplots will be created. If <code class="docutils literal"><span class="pre">fig</span></code> is <code class="docutils literal"><span class="pre">None</span></code> (default)
then the method will use the current figure retrieved by
<a class="reference internal" href="../api/_as_gen/matplotlib.pyplot.gcf.html#matplotlib.pyplot.gcf" title="matplotlib.pyplot.gcf"><code class="xref py py-func docutils literal"><span class="pre">gcf()</span></code></a>.</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">subplot2grid</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">loc</span><span class="p">,</span> <span class="n">rowspan</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">colspan</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">fig</span><span class="o">=</span><span class="n">myfig</span><span class="p">)</span>
</pre></div>
</div>
</div>
<div class="section" id="interpolation-in-fill-betweenx">
<h4><a class="toc-backref" href="#id38">Interpolation in <code class="docutils literal"><span class="pre">fill_betweenx</span></code></a><a class="headerlink" href="#interpolation-in-fill-betweenx" title="Permalink to this headline">¶</a></h4>
<p>The <code class="docutils literal"><span class="pre">interpolate</span></code> parameter now exists for the method
<a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.fill_betweenx.html#matplotlib.axes.Axes.fill_betweenx" title="matplotlib.axes.Axes.fill_betweenx"><code class="xref py py-func docutils literal"><span class="pre">fill_betweenx()</span></code></a>. This allows a user to
interpolate the data and fill the areas in the crossover points,
similarly to <a class="reference internal" href="../api/_as_gen/matplotlib.axes.Axes.fill_between.html#matplotlib.axes.Axes.fill_between" title="matplotlib.axes.Axes.fill_between"><code class="xref py py-func docutils literal"><span class="pre">fill_between()</span></code></a>.</p>
</div>
<div class="section" id="new-keyword-argument-sep-for-engformatter">
<h4><a class="toc-backref" href="#id39">New keyword argument <code class="docutils literal"><span class="pre">sep</span></code> for EngFormatter</a><a class="headerlink" href="#new-keyword-argument-sep-for-engformatter" title="Permalink to this headline">¶</a></h4>
<p>A new <code class="docutils literal"><span class="pre">sep</span></code> keyword argument has been added to
<a class="reference internal" href="../api/ticker_api.html#matplotlib.ticker.EngFormatter" title="matplotlib.ticker.EngFormatter"><code class="xref py py-class docutils literal"><span class="pre">EngFormatter</span></code></a> and provides a means to
define the string that will be used between the value and its
unit. The default string is <code class="docutils literal"><span class="pre">"</span> <span class="pre">"</span></code>, which preserves the former
behavior. Additionally, the separator is now present between the value
and its unit even in the absence of SI prefix. There was formerly a
bug that was causing strings like <code class="docutils literal"><span class="pre">"3.14V"</span></code> to be returned instead of
the expected <code class="docutils literal"><span class="pre">"3.14</span> <span class="pre">V"</span></code> (with the default behavior).</p>
</div>
<div class="section" id="extend-matplotlibrc-behavior">
<h4><a class="toc-backref" href="#id40">Extend <code class="docutils literal"><span class="pre">MATPLOTLIBRC</span></code> behavior</a><a class="headerlink" href="#extend-matplotlibrc-behavior" title="Permalink to this headline">¶</a></h4>
<p>The environmental variable can now specify the full file path or the
path to a directory containing a <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file.</p>
</div>
<div class="section" id="density-kwarg-to-hist">
<h4><a class="toc-backref" href="#id41"><code class="docutils literal"><span class="pre">density</span></code> kwarg to hist</a><a class="headerlink" href="#density-kwarg-to-hist" title="Permalink to this headline">¶</a></h4>
<p>The <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"><span class="pre">hist()</span></code></a> method now prefers <code class="docutils literal"><span class="pre">density</span></code>
to <code class="docutils literal"><span class="pre">normed</span></code> to control if the histogram should be normalized,
following a change upstream to NumPy. This will reduce confusion as
the behavior has always been that the integral of the histogram is 1
(rather than sum or maximum value).</p>
</div>
</div>
<div class="section" id="internals">
<h3><a class="toc-backref" href="#id42">Internals</a><a class="headerlink" href="#internals" title="Permalink to this headline">¶</a></h3>
<div class="section" id="new-transformedpatchpath-caching-object">
<h4><a class="toc-backref" href="#id43">New TransformedPatchPath caching object</a><a class="headerlink" href="#new-transformedpatchpath-caching-object" title="Permalink to this headline">¶</a></h4>
<p>A newly added <a class="reference internal" href="../api/transformations.html#matplotlib.transforms.TransformedPatchPath" title="matplotlib.transforms.TransformedPatchPath"><code class="xref py py-class docutils literal"><span class="pre">TransformedPatchPath</span></code></a> provides a
means to transform 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"><span class="pre">Patch</span></code></a> into a
<a class="reference internal" href="../api/path_api.html#matplotlib.path.Path" title="matplotlib.path.Path"><code class="xref py py-class docutils literal"><span class="pre">Path</span></code></a> via a <a class="reference internal" href="../api/transformations.html#matplotlib.transforms.Transform" title="matplotlib.transforms.Transform"><code class="xref py py-class docutils literal"><span class="pre">Transform</span></code></a>
while caching the resulting path. If neither the patch nor the transform have
changed, a cached copy of the path is returned.</p>
<p>This class differs from the older
<a class="reference internal" href="../api/transformations.html#matplotlib.transforms.TransformedPath" title="matplotlib.transforms.TransformedPath"><code class="xref py py-class docutils literal"><span class="pre">TransformedPath</span></code></a> in that it is able to refresh
itself based on the underlying patch while the older class uses an immutable
path.</p>
</div>
<div class="section" id="abstract-base-class-for-movie-writers">
<h4><a class="toc-backref" href="#id44">Abstract base class for movie writers</a><a class="headerlink" href="#abstract-base-class-for-movie-writers" title="Permalink to this headline">¶</a></h4>
<p>The new <a class="reference internal" href="../api/_as_gen/matplotlib.animation.AbstractMovieWriter.html#matplotlib.animation.AbstractMovieWriter" title="matplotlib.animation.AbstractMovieWriter"><code class="xref py py-class docutils literal"><span class="pre">AbstractMovieWriter</span></code></a> class defines
the API required by a class that is to be used as the <code class="docutils literal"><span class="pre">writer</span></code> in the
<a class="reference internal" href="../api/_as_gen/matplotlib.animation.Animation.html#matplotlib.animation.Animation.save" title="matplotlib.animation.Animation.save"><code class="xref py py-meth docutils literal"><span class="pre">matplotlib.animation.Animation.save()</span></code></a> method. The existing
<a class="reference internal" href="../api/_as_gen/matplotlib.animation.MovieWriter.html#matplotlib.animation.MovieWriter" title="matplotlib.animation.MovieWriter"><code class="xref py py-class docutils literal"><span class="pre">MovieWriter</span></code></a> class now derives from the new
abstract base class.</p>
</div>
<div class="section" id="stricter-validation-of-line-style-rcparams">
<h4><a class="toc-backref" href="#id45">Stricter validation of line style rcParams</a><a class="headerlink" href="#stricter-validation-of-line-style-rcparams" title="Permalink to this headline">¶</a></h4>
<p>The validation of rcParams that are related to line styles
(<code class="docutils literal"><span class="pre">lines.linestyle</span></code>, <code class="docutils literal"><span class="pre">boxplot.*.linestyle</span></code>, <code class="docutils literal"><span class="pre">grid.linestyle</span></code> and
<code class="docutils literal"><span class="pre">contour.negative_linestyle</span></code>) now effectively checks that the values
are valid line styles. Strings like <code class="docutils literal"><span class="pre">'dashed'</span></code> or <code class="docutils literal"><span class="pre">'--'</span></code> are
accepted, as well as even-length sequences of on-off ink like <code class="docutils literal"><span class="pre">[1,</span>
<span class="pre">1.65]</span></code>. In this latter case, the offset value is handled internally
and should <em>not</em> be provided by the user.</p>
<p>The new validation scheme replaces the former one used for the
<code class="docutils literal"><span class="pre">contour.negative_linestyle</span></code> rcParams, that was limited to
<code class="docutils literal"><span class="pre">'solid'</span></code> and <code class="docutils literal"><span class="pre">'dashed'</span></code> line styles.</p>
<p>The validation is case-insensitive. The following are now valid:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">grid</span><span class="o">.</span><span class="n">linestyle</span> <span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span> <span class="c1"># loosely dotted grid lines</span>
<span class="n">contour</span><span class="o">.</span><span class="n">negative_linestyle</span> <span class="p">:</span> <span class="n">dashdot</span> <span class="c1"># previously only solid or dashed</span>
</pre></div>
</div>
</div>
<div class="section" id="pytest">
<h4><a class="toc-backref" href="#id46">pytest</a><a class="headerlink" href="#pytest" title="Permalink to this headline">¶</a></h4>
<p>The automated tests have been switched from <code class="xref py py-obj docutils literal"><span class="pre">nose</span></code> to <code class="xref py py-obj docutils literal"><span class="pre">pytest</span></code>.</p>
</div>
</div>
<div class="section" id="performance">
<h3><a class="toc-backref" href="#id47">Performance</a><a class="headerlink" href="#performance" title="Permalink to this headline">¶</a></h3>
<div class="section" id="path-simplification-updates">
<h4><a class="toc-backref" href="#id48">Path simplification updates</a><a class="headerlink" href="#path-simplification-updates" title="Permalink to this headline">¶</a></h4>
<p>Line simplification controlled by the <code class="docutils literal"><span class="pre">path.simplify</span></code> and
<code class="docutils literal"><span class="pre">path.simplify_threshold</span></code> parameters has been improved. You should
notice better rendering performance when plotting large amounts of
data (as long as the above parameters are set accordingly). Only the
line segment portion of paths will be simplified – if you are also
drawing markers and experiencing problems with rendering speed, you
should consider using the <code class="docutils literal"><span class="pre">markevery</span></code> option to <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"><span class="pre">plot</span></code></a>.
See the <a class="reference internal" href="../tutorials/introductory/usage.html#performance"><span class="std std-ref">Performance</span></a> section in the usage tutorial for more
information.</p>
<p>The simplification works by iteratively merging line segments
into a single vector until the next line segment’s perpendicular
distance to the vector (measured in display-coordinate space)
is greater than the <code class="docutils literal"><span class="pre">path.simplify_threshold</span></code> parameter. Thus, higher
values of <code class="docutils literal"><span class="pre">path.simplify_threshold</span></code> result in quicker rendering times.
If you are plotting just to explore data and not for publication quality,
pixel perfect plots, then a value of <code class="docutils literal"><span class="pre">1.0</span></code> can be safely used. If you
want to make sure your plot reflects your data <em>exactly</em>, then you should
set <code class="docutils literal"><span class="pre">path.simplify</span></code> to false and/or <code class="docutils literal"><span class="pre">path.simplify_threshold</span></code> to <code class="docutils literal"><span class="pre">0</span></code>.
Matplotlib currently defaults to a conservative value of <code class="docutils literal"><span class="pre">1/9</span></code>, smaller
values are unlikely to cause any visible differences in your plots.</p>
</div>
<div class="section" id="implement-intersects-bbox-in-c">
<h4><a class="toc-backref" href="#id49">Implement intersects_bbox in c++</a><a class="headerlink" href="#implement-intersects-bbox-in-c" title="Permalink to this headline">¶</a></h4>
<p><a class="reference internal" href="../api/path_api.html#matplotlib.path.Path.intersects_bbox" title="matplotlib.path.Path.intersects_bbox"><code class="xref py py-meth docutils literal"><span class="pre">intersects_bbox()</span></code></a> has been implemented in
c++ which improves the performance of automatically placing the legend.</p>
</div>
</div>
</div>
<div class="section" id="previous-whats-new">
<h2><a class="toc-backref" href="#id50">Previous Whats New</a><a class="headerlink" href="#previous-whats-new" title="Permalink to this headline">¶</a></h2>
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/whats_new_2.0.0.html">New in matplotlib 2.0</a></li>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/whats_new_1.5.html">New in matplotlib 1.5</a></li>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/whats_new_1.4.html">New in matplotlib 1.4</a></li>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/whats_new_1.3.html">New in matplotlib 1.3</a></li>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/whats_new_1.2.2.html">New in matplotlib 1.2.2</a></li>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/whats_new_1.2.html">New in matplotlib 1.2</a></li>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/whats_new_1.1.html">New in matplotlib 1.1</a></li>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/whats_new_1.0.html">New in matplotlib 1.0</a></li>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/whats_new_0.99.html">New in matplotlib 0.99</a></li>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/whats_new_0.98.4.html">New in matplotlib 0.98.4</a></li>
<li class="toctree-l1"><a class="reference internal" href="prev_whats_new/changelog.html">List of changes to Matplotlib prior to 2015</a></li>
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="clearer"></div>
</div>
<div class="footer">
© Copyright 2002 - 2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012 - 2017 The Matplotlib development team.
Last updated on Oct 13, 2017.
Created using <a
href="http://sphinx-doc.org/">Sphinx</a> 1.6.3.
</div>
</body>
<footer>
</footer>
</html>