forked from matplotlib/matplotlib.github.com
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathpyplot_summary.html
More file actions
983 lines (965 loc) · 58.2 KB
/
pyplot_summary.html
File metadata and controls
983 lines (965 loc) · 58.2 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
<!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>Plotting commands summary — Matplotlib 1.3.x documentation</title>
<link rel="stylesheet" href="../_static/mpl.css" type="text/css" />
<link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
<script type="text/javascript">
var DOCUMENTATION_OPTIONS = {
URL_ROOT: '../',
VERSION: '1.3.x',
COLLAPSE_INDEX: false,
FILE_SUFFIX: '.html',
HAS_SOURCE: true
};
</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 1.3.x documentation"
href="../_static/opensearch.xml"/>
<link rel="top" title="Matplotlib 1.3.x documentation" href="../index.html" />
<link rel="up" title="The Matplotlib API" href="index.html" />
<link rel="next" title="API Changes" href="api_changes.html" />
<link rel="prev" title="The Matplotlib API" href="index.html" />
</head>
<body>
<!-- Piwik -->
<script type="text/javascript">
if ("matplotlib.sourceforge.net" == document.location.hostname ||
"matplotlib.sf.net" == document.location.hostname) {
var pkBaseURL = (("https:" == document.location.protocol) ? "https://apps.sourceforge.net/piwik/matplotlib/" : "http://apps.sourceforge.net/piwik/matplotlib/");
document.write(unescape("%3Cscript src='" + pkBaseURL + "piwik.js' type='text/javascript'%3E%3C/script%3E"));
}
</script>
<script type="text/javascript">
if ("matplotlib.sourceforge.net" == document.location.hostname ||
"matplotlib.sf.net" == document.location.hostname) {
piwik_action_name = '';
piwik_idsite = 1;
piwik_url = pkBaseURL + "piwik.php";
piwik_log(piwik_action_name, piwik_idsite, piwik_url);
document.write(unescape('%3Cobject%3E%3Cnoscript%3E%3Cp%3E%3Cimg src="http://apps.sourceforge.net/piwik/matplotlib/piwik.php?idsite=1" alt="piwik"/%3E%3C/p%3E%3C/noscript%3E%3C/object%3E'));
}
</script>
<!-- End Piwik Tag -->
<link rel="shortcut icon" href="_static/favicon.ico">
<!-- The "Fork me on github" ribbon -->
<img style="float: right; margin-bottom: -40px; top: 0; right: 0; border: 0;" src="https://s3.amazonaws.com/github/ribbons/forkme_right_orange_ff7600.png" usemap="#ribbonmap"/>
<map name="ribbonmap">
<area shape="poly" coords="15,0,148,-1,148,135" href="https://github.com/matplotlib/matplotlib" title="Fork me on GitHub" />
</map>
<div style="background-color: white; text-align: left; padding: 10px 10px 15px 15px">
<a href="../index.html"><img src="../_static/logo2.png" border="0" alt="matplotlib"/></a>
</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="api_changes.html" title="API Changes"
accesskey="N">next</a> |</li>
<li class="right" >
<a href="index.html" title="The Matplotlib API"
accesskey="P">previous</a> |</li>
<li><a href="../index.html">home</a>| </li>
<li><a href="../examples/index.html">examples</a>| </li>
<li><a href="../gallery.html">gallery</a>| </li>
<li><a href="#">pyplot</a>| </li>
<li><a href="../contents.html">docs</a> »</li>
<li><a href="index.html" accesskey="U">The Matplotlib API</a> »</li>
</ul>
</div>
<div class="sphinxsidebar">
<div class="sphinxsidebarwrapper">
<h4>Previous topic</h4>
<p class="topless"><a href="index.html"
title="previous chapter">The Matplotlib API</a></p>
<h4>Next topic</h4>
<p class="topless"><a href="api_changes.html"
title="next chapter">API Changes</a></p>
<h3>This Page</h3>
<ul class="this-page-menu">
<li><a href="../_sources/api/pyplot_summary.txt"
rel="nofollow">Show Source</a></li>
</ul>
<div id="searchbox" style="display: none">
<h3>Quick search</h3>
<form class="search" action="../search.html" method="get">
<input type="text" name="q" />
<input type="submit" value="Go" />
<input type="hidden" name="check_keywords" value="yes" />
<input type="hidden" name="area" value="default" />
</form>
<p class="searchtip" style="font-size: 90%">
Enter search terms or a module, class or function name.
</p>
</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="plotting-commands-summary">
<h1>Plotting commands summary<a class="headerlink" href="#plotting-commands-summary" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="matplotlib.pyplot.plotting">
<tt class="descclassname">matplotlib.pyplot.</tt><tt class="descname">plotting</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.pyplot.plotting" title="Permalink to this definition">¶</a></dt>
<dd><table border="1" class="docutils">
<colgroup>
<col width="17%" />
<col width="83%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Function</th>
<th class="head">Description</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.acorr" title="matplotlib.pyplot.acorr"><tt class="xref py py-obj docutils literal"><span class="pre">acorr</span></tt></a></td>
<td>Plot the autocorrelation of <em>x</em>.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.annotate" title="matplotlib.pyplot.annotate"><tt class="xref py py-obj docutils literal"><span class="pre">annotate</span></tt></a></td>
<td>Create an annotation: a piece of text referring to a data point.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.arrow" title="matplotlib.pyplot.arrow"><tt class="xref py py-obj docutils literal"><span class="pre">arrow</span></tt></a></td>
<td>Add an arrow to the axes.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.autoscale" title="matplotlib.pyplot.autoscale"><tt class="xref py py-obj docutils literal"><span class="pre">autoscale</span></tt></a></td>
<td>Autoscale the axis view to the data (toggle).</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.axes" title="matplotlib.pyplot.axes"><tt class="xref py py-obj docutils literal"><span class="pre">axes</span></tt></a></td>
<td>Add an axes to the figure.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.axhline" title="matplotlib.pyplot.axhline"><tt class="xref py py-obj docutils literal"><span class="pre">axhline</span></tt></a></td>
<td>Add a horizontal line across the axis.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.axhspan" title="matplotlib.pyplot.axhspan"><tt class="xref py py-obj docutils literal"><span class="pre">axhspan</span></tt></a></td>
<td>Add a horizontal span (rectangle) across the axis.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.axis" title="matplotlib.pyplot.axis"><tt class="xref py py-obj docutils literal"><span class="pre">axis</span></tt></a></td>
<td>Convenience method to get or set axis properties.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.axvline" title="matplotlib.pyplot.axvline"><tt class="xref py py-obj docutils literal"><span class="pre">axvline</span></tt></a></td>
<td>Add a vertical line across the axes.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.axvspan" title="matplotlib.pyplot.axvspan"><tt class="xref py py-obj docutils literal"><span class="pre">axvspan</span></tt></a></td>
<td>Add a vertical span (rectangle) across the axes.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.bar" title="matplotlib.pyplot.bar"><tt class="xref py py-obj docutils literal"><span class="pre">bar</span></tt></a></td>
<td>Make a bar plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.barbs" title="matplotlib.pyplot.barbs"><tt class="xref py py-obj docutils literal"><span class="pre">barbs</span></tt></a></td>
<td>Plot a 2-D field of barbs.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.barh" title="matplotlib.pyplot.barh"><tt class="xref py py-obj docutils literal"><span class="pre">barh</span></tt></a></td>
<td>Make a horizontal bar plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.box" title="matplotlib.pyplot.box"><tt class="xref py py-obj docutils literal"><span class="pre">box</span></tt></a></td>
<td>Turn the axes box on or off.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.boxplot" title="matplotlib.pyplot.boxplot"><tt class="xref py py-obj docutils literal"><span class="pre">boxplot</span></tt></a></td>
<td>Make a box and whisker plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.broken_barh" title="matplotlib.pyplot.broken_barh"><tt class="xref py py-obj docutils literal"><span class="pre">broken_barh</span></tt></a></td>
<td>Plot horizontal bars.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.cla" title="matplotlib.pyplot.cla"><tt class="xref py py-obj docutils literal"><span class="pre">cla</span></tt></a></td>
<td>Clear the current axes.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.clabel" title="matplotlib.pyplot.clabel"><tt class="xref py py-obj docutils literal"><span class="pre">clabel</span></tt></a></td>
<td>Label a contour plot.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.clf" title="matplotlib.pyplot.clf"><tt class="xref py py-obj docutils literal"><span class="pre">clf</span></tt></a></td>
<td>Clear the current figure.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.clim" title="matplotlib.pyplot.clim"><tt class="xref py py-obj docutils literal"><span class="pre">clim</span></tt></a></td>
<td>Set the color limits of the current image.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.close" title="matplotlib.pyplot.close"><tt class="xref py py-obj docutils literal"><span class="pre">close</span></tt></a></td>
<td>Close a figure window.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.cohere" title="matplotlib.pyplot.cohere"><tt class="xref py py-obj docutils literal"><span class="pre">cohere</span></tt></a></td>
<td>Plot the coherence between <em>x</em> and <em>y</em>.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.colorbar" title="matplotlib.pyplot.colorbar"><tt class="xref py py-obj docutils literal"><span class="pre">colorbar</span></tt></a></td>
<td>Add a colorbar to a plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.contour" title="matplotlib.pyplot.contour"><tt class="xref py py-obj docutils literal"><span class="pre">contour</span></tt></a></td>
<td>Plot contours.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.contourf" title="matplotlib.pyplot.contourf"><tt class="xref py py-obj docutils literal"><span class="pre">contourf</span></tt></a></td>
<td>Plot contours.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.csd" title="matplotlib.pyplot.csd"><tt class="xref py py-obj docutils literal"><span class="pre">csd</span></tt></a></td>
<td>Plot cross-spectral density.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.delaxes" title="matplotlib.pyplot.delaxes"><tt class="xref py py-obj docutils literal"><span class="pre">delaxes</span></tt></a></td>
<td>Remove an axes from the current figure.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.draw" title="matplotlib.pyplot.draw"><tt class="xref py py-obj docutils literal"><span class="pre">draw</span></tt></a></td>
<td>Redraw the current figure.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.errorbar" title="matplotlib.pyplot.errorbar"><tt class="xref py py-obj docutils literal"><span class="pre">errorbar</span></tt></a></td>
<td>Plot an errorbar graph.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.eventplot" title="matplotlib.pyplot.eventplot"><tt class="xref py py-obj docutils literal"><span class="pre">eventplot</span></tt></a></td>
<td>Plot identical parallel lines at specific positions.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.figimage" title="matplotlib.pyplot.figimage"><tt class="xref py py-obj docutils literal"><span class="pre">figimage</span></tt></a></td>
<td>Adds a non-resampled image to the figure.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.figlegend" title="matplotlib.pyplot.figlegend"><tt class="xref py py-obj docutils literal"><span class="pre">figlegend</span></tt></a></td>
<td>Place a legend in the figure.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.figtext" title="matplotlib.pyplot.figtext"><tt class="xref py py-obj docutils literal"><span class="pre">figtext</span></tt></a></td>
<td>Add text to figure.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure"><tt class="xref py py-obj docutils literal"><span class="pre">figure</span></tt></a></td>
<td>Creates a new figure.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.fill" title="matplotlib.pyplot.fill"><tt class="xref py py-obj docutils literal"><span class="pre">fill</span></tt></a></td>
<td>Plot filled polygons.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.fill_between" title="matplotlib.pyplot.fill_between"><tt class="xref py py-obj docutils literal"><span class="pre">fill_between</span></tt></a></td>
<td>Make filled polygons between two curves.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.fill_betweenx" title="matplotlib.pyplot.fill_betweenx"><tt class="xref py py-obj docutils literal"><span class="pre">fill_betweenx</span></tt></a></td>
<td>Make filled polygons between two horizontal curves.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.findobj" title="matplotlib.pyplot.findobj"><tt class="xref py py-obj docutils literal"><span class="pre">findobj</span></tt></a></td>
<td>Find artist objects.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.gca" title="matplotlib.pyplot.gca"><tt class="xref py py-obj docutils literal"><span class="pre">gca</span></tt></a></td>
<td>Return the current axis instance.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.gcf" title="matplotlib.pyplot.gcf"><tt class="xref py py-obj docutils literal"><span class="pre">gcf</span></tt></a></td>
<td>Return a reference to the current figure.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.gci" title="matplotlib.pyplot.gci"><tt class="xref py py-obj docutils literal"><span class="pre">gci</span></tt></a></td>
<td>Get the current colorable artist.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.get_figlabels" title="matplotlib.pyplot.get_figlabels"><tt class="xref py py-obj docutils literal"><span class="pre">get_figlabels</span></tt></a></td>
<td>Return a list of existing figure labels.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.get_fignums" title="matplotlib.pyplot.get_fignums"><tt class="xref py py-obj docutils literal"><span class="pre">get_fignums</span></tt></a></td>
<td>Return a list of existing figure numbers.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.grid" title="matplotlib.pyplot.grid"><tt class="xref py py-obj docutils literal"><span class="pre">grid</span></tt></a></td>
<td>Turn the axes grids on or off.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.hexbin" title="matplotlib.pyplot.hexbin"><tt class="xref py py-obj docutils literal"><span class="pre">hexbin</span></tt></a></td>
<td>Make a hexagonal binning plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.hist" title="matplotlib.pyplot.hist"><tt class="xref py py-obj docutils literal"><span class="pre">hist</span></tt></a></td>
<td>Plot a histogram.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.hist2d" title="matplotlib.pyplot.hist2d"><tt class="xref py py-obj docutils literal"><span class="pre">hist2d</span></tt></a></td>
<td>Make a 2D histogram plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.hlines" title="matplotlib.pyplot.hlines"><tt class="xref py py-obj docutils literal"><span class="pre">hlines</span></tt></a></td>
<td>Plot horizontal lines.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.hold" title="matplotlib.pyplot.hold"><tt class="xref py py-obj docutils literal"><span class="pre">hold</span></tt></a></td>
<td>Set the hold state.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.imread" title="matplotlib.pyplot.imread"><tt class="xref py py-obj docutils literal"><span class="pre">imread</span></tt></a></td>
<td>Read an image from a file into an array.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.imsave" title="matplotlib.pyplot.imsave"><tt class="xref py py-obj docutils literal"><span class="pre">imsave</span></tt></a></td>
<td>Save an array as in image file.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.imshow" title="matplotlib.pyplot.imshow"><tt class="xref py py-obj docutils literal"><span class="pre">imshow</span></tt></a></td>
<td>Display an image on the axes.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.ioff" title="matplotlib.pyplot.ioff"><tt class="xref py py-obj docutils literal"><span class="pre">ioff</span></tt></a></td>
<td>Turn interactive mode off.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.ion" title="matplotlib.pyplot.ion"><tt class="xref py py-obj docutils literal"><span class="pre">ion</span></tt></a></td>
<td>Turn interactive mode on.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.ishold" title="matplotlib.pyplot.ishold"><tt class="xref py py-obj docutils literal"><span class="pre">ishold</span></tt></a></td>
<td>Return the hold status of the current axes.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.isinteractive" title="matplotlib.pyplot.isinteractive"><tt class="xref py py-obj docutils literal"><span class="pre">isinteractive</span></tt></a></td>
<td>Return status of interactive mode.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.legend" title="matplotlib.pyplot.legend"><tt class="xref py py-obj docutils literal"><span class="pre">legend</span></tt></a></td>
<td>Place a legend on the current axes.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.locator_params" title="matplotlib.pyplot.locator_params"><tt class="xref py py-obj docutils literal"><span class="pre">locator_params</span></tt></a></td>
<td>Control behavior of tick locators.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.loglog" title="matplotlib.pyplot.loglog"><tt class="xref py py-obj docutils literal"><span class="pre">loglog</span></tt></a></td>
<td>Make a plot with log scaling on both the <em>x</em> and <em>y</em> axis.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.margins" title="matplotlib.pyplot.margins"><tt class="xref py py-obj docutils literal"><span class="pre">margins</span></tt></a></td>
<td>Set or retrieve autoscaling margins.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.matshow" title="matplotlib.pyplot.matshow"><tt class="xref py py-obj docutils literal"><span class="pre">matshow</span></tt></a></td>
<td>Display an array as a matrix in a new figure window.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.minorticks_off" title="matplotlib.pyplot.minorticks_off"><tt class="xref py py-obj docutils literal"><span class="pre">minorticks_off</span></tt></a></td>
<td>Remove minor ticks from the current plot.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.minorticks_on" title="matplotlib.pyplot.minorticks_on"><tt class="xref py py-obj docutils literal"><span class="pre">minorticks_on</span></tt></a></td>
<td>Display minor ticks on the current plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.over" title="matplotlib.pyplot.over"><tt class="xref py py-obj docutils literal"><span class="pre">over</span></tt></a></td>
<td>Call a function with hold(True).</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.pause" title="matplotlib.pyplot.pause"><tt class="xref py py-obj docutils literal"><span class="pre">pause</span></tt></a></td>
<td>Pause for <em>interval</em> seconds.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.pcolor" title="matplotlib.pyplot.pcolor"><tt class="xref py py-obj docutils literal"><span class="pre">pcolor</span></tt></a></td>
<td>Create a pseudocolor plot of a 2-D array.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.pcolormesh" title="matplotlib.pyplot.pcolormesh"><tt class="xref py py-obj docutils literal"><span class="pre">pcolormesh</span></tt></a></td>
<td>Plot a quadrilateral mesh.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.pie" title="matplotlib.pyplot.pie"><tt class="xref py py-obj docutils literal"><span class="pre">pie</span></tt></a></td>
<td>Plot a pie chart.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.plot" title="matplotlib.pyplot.plot"><tt class="xref py py-obj docutils literal"><span class="pre">plot</span></tt></a></td>
<td>Plot lines and/or markers to the <a class="reference internal" href="axes_api.html#matplotlib.axes.Axes" title="matplotlib.axes.Axes"><tt class="xref py py-class docutils literal"><span class="pre">Axes</span></tt></a>.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.plot_date" title="matplotlib.pyplot.plot_date"><tt class="xref py py-obj docutils literal"><span class="pre">plot_date</span></tt></a></td>
<td>Plot with data with dates.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.plotfile" title="matplotlib.pyplot.plotfile"><tt class="xref py py-obj docutils literal"><span class="pre">plotfile</span></tt></a></td>
<td>Plot the data in in a file.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.polar" title="matplotlib.pyplot.polar"><tt class="xref py py-obj docutils literal"><span class="pre">polar</span></tt></a></td>
<td>Make a polar plot.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.psd" title="matplotlib.pyplot.psd"><tt class="xref py py-obj docutils literal"><span class="pre">psd</span></tt></a></td>
<td>Plot the power spectral density.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.quiver" title="matplotlib.pyplot.quiver"><tt class="xref py py-obj docutils literal"><span class="pre">quiver</span></tt></a></td>
<td>Plot a 2-D field of arrows.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.quiverkey" title="matplotlib.pyplot.quiverkey"><tt class="xref py py-obj docutils literal"><span class="pre">quiverkey</span></tt></a></td>
<td>Add a key to a quiver plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.rc" title="matplotlib.pyplot.rc"><tt class="xref py py-obj docutils literal"><span class="pre">rc</span></tt></a></td>
<td>Set the current rc params.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.rc_context" title="matplotlib.pyplot.rc_context"><tt class="xref py py-obj docutils literal"><span class="pre">rc_context</span></tt></a></td>
<td>Return a context manager for managing rc settings.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.rcdefaults" title="matplotlib.pyplot.rcdefaults"><tt class="xref py py-obj docutils literal"><span class="pre">rcdefaults</span></tt></a></td>
<td>Restore the default rc params.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.rgrids" title="matplotlib.pyplot.rgrids"><tt class="xref py py-obj docutils literal"><span class="pre">rgrids</span></tt></a></td>
<td>Get or set the radial gridlines on a polar plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.savefig" title="matplotlib.pyplot.savefig"><tt class="xref py py-obj docutils literal"><span class="pre">savefig</span></tt></a></td>
<td>Save the current figure.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.sca" title="matplotlib.pyplot.sca"><tt class="xref py py-obj docutils literal"><span class="pre">sca</span></tt></a></td>
<td>Set the current Axes instance to <em>ax</em>.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.scatter" title="matplotlib.pyplot.scatter"><tt class="xref py py-obj docutils literal"><span class="pre">scatter</span></tt></a></td>
<td>Make a scatter plot of x vs y, where x and y are sequence like objects of the same lengths.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.sci" title="matplotlib.pyplot.sci"><tt class="xref py py-obj docutils literal"><span class="pre">sci</span></tt></a></td>
<td>Set the current image.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.semilogx" title="matplotlib.pyplot.semilogx"><tt class="xref py py-obj docutils literal"><span class="pre">semilogx</span></tt></a></td>
<td>Make a plot with log scaling on the <em>x</em> axis.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.semilogy" title="matplotlib.pyplot.semilogy"><tt class="xref py py-obj docutils literal"><span class="pre">semilogy</span></tt></a></td>
<td>Make a plot with log scaling on the <em>y</em> axis.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.set_cmap" title="matplotlib.pyplot.set_cmap"><tt class="xref py py-obj docutils literal"><span class="pre">set_cmap</span></tt></a></td>
<td>Set the default colormap.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.setp" title="matplotlib.pyplot.setp"><tt class="xref py py-obj docutils literal"><span class="pre">setp</span></tt></a></td>
<td>Set a property on an artist object.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show"><tt class="xref py py-obj docutils literal"><span class="pre">show</span></tt></a></td>
<td>Display a figure.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.specgram" title="matplotlib.pyplot.specgram"><tt class="xref py py-obj docutils literal"><span class="pre">specgram</span></tt></a></td>
<td>Plot a spectrogram.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.spy" title="matplotlib.pyplot.spy"><tt class="xref py py-obj docutils literal"><span class="pre">spy</span></tt></a></td>
<td>Plot the sparsity pattern on a 2-D array.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.stackplot" title="matplotlib.pyplot.stackplot"><tt class="xref py py-obj docutils literal"><span class="pre">stackplot</span></tt></a></td>
<td>Draws a stacked area plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.stem" title="matplotlib.pyplot.stem"><tt class="xref py py-obj docutils literal"><span class="pre">stem</span></tt></a></td>
<td>Create a stem plot.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.step" title="matplotlib.pyplot.step"><tt class="xref py py-obj docutils literal"><span class="pre">step</span></tt></a></td>
<td>Make a step plot.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.streamplot" title="matplotlib.pyplot.streamplot"><tt class="xref py py-obj docutils literal"><span class="pre">streamplot</span></tt></a></td>
<td>Draws streamlines of a vector flow.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplot" title="matplotlib.pyplot.subplot"><tt class="xref py py-obj docutils literal"><span class="pre">subplot</span></tt></a></td>
<td>Return a subplot axes positioned by the given grid definition.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplot2grid" title="matplotlib.pyplot.subplot2grid"><tt class="xref py py-obj docutils literal"><span class="pre">subplot2grid</span></tt></a></td>
<td>Create a subplot in a grid.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplot_tool" title="matplotlib.pyplot.subplot_tool"><tt class="xref py py-obj docutils literal"><span class="pre">subplot_tool</span></tt></a></td>
<td>Launch a subplot tool window for a figure.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplots" title="matplotlib.pyplot.subplots"><tt class="xref py py-obj docutils literal"><span class="pre">subplots</span></tt></a></td>
<td>Create a figure with a set of subplots already made.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.subplots_adjust" title="matplotlib.pyplot.subplots_adjust"><tt class="xref py py-obj docutils literal"><span class="pre">subplots_adjust</span></tt></a></td>
<td>Tune the subplot layout.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.suptitle" title="matplotlib.pyplot.suptitle"><tt class="xref py py-obj docutils literal"><span class="pre">suptitle</span></tt></a></td>
<td>Add a centered title to the figure.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.switch_backend" title="matplotlib.pyplot.switch_backend"><tt class="xref py py-obj docutils literal"><span class="pre">switch_backend</span></tt></a></td>
<td>Switch the default backend.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.table" title="matplotlib.pyplot.table"><tt class="xref py py-obj docutils literal"><span class="pre">table</span></tt></a></td>
<td>Add a table to the current axes.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.text" title="matplotlib.pyplot.text"><tt class="xref py py-obj docutils literal"><span class="pre">text</span></tt></a></td>
<td>Add text to the axes.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.thetagrids" title="matplotlib.pyplot.thetagrids"><tt class="xref py py-obj docutils literal"><span class="pre">thetagrids</span></tt></a></td>
<td>Get or set the theta locations of the gridlines in a polar plot.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.tick_params" title="matplotlib.pyplot.tick_params"><tt class="xref py py-obj docutils literal"><span class="pre">tick_params</span></tt></a></td>
<td>Change the appearance of ticks and tick labels.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.ticklabel_format" title="matplotlib.pyplot.ticklabel_format"><tt class="xref py py-obj docutils literal"><span class="pre">ticklabel_format</span></tt></a></td>
<td>Change the <a class="reference internal" href="ticker_api.html#matplotlib.ticker.ScalarFormatter" title="matplotlib.ticker.ScalarFormatter"><tt class="xref py py-obj docutils literal"><span class="pre">ScalarFormatter</span></tt></a> used by default for linear axes.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.tight_layout" title="matplotlib.pyplot.tight_layout"><tt class="xref py py-obj docutils literal"><span class="pre">tight_layout</span></tt></a></td>
<td>Automatically adjust subplot parameters to give specified padding.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.title" title="matplotlib.pyplot.title"><tt class="xref py py-obj docutils literal"><span class="pre">title</span></tt></a></td>
<td>title(label, fontdict=None, loc=’center’, <a href="#id1"><span class="problematic" id="id2">**</span></a>kwargs) Set a title of the current axes.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.tricontour" title="matplotlib.pyplot.tricontour"><tt class="xref py py-obj docutils literal"><span class="pre">tricontour</span></tt></a></td>
<td>Draw contours on an unstructured triangular grid.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.tricontourf" title="matplotlib.pyplot.tricontourf"><tt class="xref py py-obj docutils literal"><span class="pre">tricontourf</span></tt></a></td>
<td>Draw contours on an unstructured triangular grid.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.tripcolor" title="matplotlib.pyplot.tripcolor"><tt class="xref py py-obj docutils literal"><span class="pre">tripcolor</span></tt></a></td>
<td>Create a pseudocolor plot of an unstructured triangular grid.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.triplot" title="matplotlib.pyplot.triplot"><tt class="xref py py-obj docutils literal"><span class="pre">triplot</span></tt></a></td>
<td>Draw a unstructured triangular grid as lines and/or markers.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.twinx" title="matplotlib.pyplot.twinx"><tt class="xref py py-obj docutils literal"><span class="pre">twinx</span></tt></a></td>
<td>Make a second axes that shares the <em>x</em>-axis.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.twiny" title="matplotlib.pyplot.twiny"><tt class="xref py py-obj docutils literal"><span class="pre">twiny</span></tt></a></td>
<td>Make a second axes that shares the <em>y</em>-axis.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.vlines" title="matplotlib.pyplot.vlines"><tt class="xref py py-obj docutils literal"><span class="pre">vlines</span></tt></a></td>
<td>Plot vertical lines.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.xcorr" title="matplotlib.pyplot.xcorr"><tt class="xref py py-obj docutils literal"><span class="pre">xcorr</span></tt></a></td>
<td>Plot the cross correlation between <em>x</em> and <em>y</em>.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.xkcd" title="matplotlib.pyplot.xkcd"><tt class="xref py py-obj docutils literal"><span class="pre">xkcd</span></tt></a></td>
<td>Turns on <a class="reference external" href="xkcd.com">xkcd</a> sketch-style drawing mode.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.xlabel" title="matplotlib.pyplot.xlabel"><tt class="xref py py-obj docutils literal"><span class="pre">xlabel</span></tt></a></td>
<td>Set the <em>x</em> axis label of the current axis.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.xlim" title="matplotlib.pyplot.xlim"><tt class="xref py py-obj docutils literal"><span class="pre">xlim</span></tt></a></td>
<td>Get or set the <em>x</em> limits of the current axes.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.xscale" title="matplotlib.pyplot.xscale"><tt class="xref py py-obj docutils literal"><span class="pre">xscale</span></tt></a></td>
<td>Set the scaling of the <em>x</em>-axis.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.xticks" title="matplotlib.pyplot.xticks"><tt class="xref py py-obj docutils literal"><span class="pre">xticks</span></tt></a></td>
<td>Get or set the <em>x</em>-limits of the current tick locations and labels.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.ylabel" title="matplotlib.pyplot.ylabel"><tt class="xref py py-obj docutils literal"><span class="pre">ylabel</span></tt></a></td>
<td>Set the <em>y</em> axis label of the current axis.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.ylim" title="matplotlib.pyplot.ylim"><tt class="xref py py-obj docutils literal"><span class="pre">ylim</span></tt></a></td>
<td>Get or set the <em>y</em>-limits of the current axes.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.yscale" title="matplotlib.pyplot.yscale"><tt class="xref py py-obj docutils literal"><span class="pre">yscale</span></tt></a></td>
<td>Set the scaling of the <em>y</em>-axis.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.yticks" title="matplotlib.pyplot.yticks"><tt class="xref py py-obj docutils literal"><span class="pre">yticks</span></tt></a></td>
<td>Get or set the <em>y</em>-limits of the current tick locations and labels.</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="matplotlib.pyplot.colormaps">
<tt class="descclassname">matplotlib.pyplot.</tt><tt class="descname">colormaps</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.pyplot.colormaps" title="Permalink to this definition">¶</a></dt>
<dd><p>Matplotlib provides a number of colormaps, and others can be added using
<a class="reference internal" href="cm_api.html#matplotlib.cm.register_cmap" title="matplotlib.cm.register_cmap"><tt class="xref py py-func docutils literal"><span class="pre">register_cmap()</span></tt></a>. This function documents the built-in
colormaps, and will also return a list of all registered colormaps if called.</p>
<p>You can set the colormap for an image, pcolor, scatter, etc,
using a keyword argument:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">imshow</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">cm</span><span class="o">.</span><span class="n">hot</span><span class="p">)</span>
</pre></div>
</div>
<p>or using the <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.set_cmap" title="matplotlib.pyplot.set_cmap"><tt class="xref py py-func docutils literal"><span class="pre">set_cmap()</span></tt></a> function:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">imshow</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
<span class="n">pyplot</span><span class="o">.</span><span class="n">set_cmap</span><span class="p">(</span><span class="s">'hot'</span><span class="p">)</span>
<span class="n">pyplot</span><span class="o">.</span><span class="n">set_cmap</span><span class="p">(</span><span class="s">'jet'</span><span class="p">)</span>
</pre></div>
</div>
<p>In interactive mode, <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.set_cmap" title="matplotlib.pyplot.set_cmap"><tt class="xref py py-func docutils literal"><span class="pre">set_cmap()</span></tt></a> will update the colormap post-hoc,
allowing you to see which one works best for your data.</p>
<p>All built-in colormaps can be reversed by appending <tt class="docutils literal"><span class="pre">_r</span></tt>: For instance,
<tt class="docutils literal"><span class="pre">gray_r</span></tt> is the reverse of <tt class="docutils literal"><span class="pre">gray</span></tt>.</p>
<p>There are several common color schemes used in visualization:</p>
<dl class="docutils">
<dt>Sequential schemes</dt>
<dd>for unipolar data that progresses from low to high</dd>
<dt>Diverging schemes</dt>
<dd>for bipolar data that emphasizes positive or negative deviations from a
central value</dd>
<dt>Cyclic schemes</dt>
<dd>meant for plotting values that wrap around at the
endpoints, such as phase angle, wind direction, or time of day</dd>
<dt>Qualitative schemes</dt>
<dd>for nominal data that has no inherent ordering, where color is used
only to distinguish categories</dd>
</dl>
<p>The base colormaps are derived from those of the same name provided
with Matlab:</p>
<blockquote>
<div><table border="1" class="docutils">
<colgroup>
<col width="13%" />
<col width="87%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Colormap</th>
<th class="head">Description</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td>autumn</td>
<td>sequential linearly-increasing shades of red-orange-yellow</td>
</tr>
<tr class="row-odd"><td>bone</td>
<td>sequential increasing black-white color map with
a tinge of blue, to emulate X-ray film</td>
</tr>
<tr class="row-even"><td>cool</td>
<td>linearly-decreasing shades of cyan-magenta</td>
</tr>
<tr class="row-odd"><td>copper</td>
<td>sequential increasing shades of black-copper</td>
</tr>
<tr class="row-even"><td>flag</td>
<td>repetitive red-white-blue-black pattern (not cyclic at
endpoints)</td>
</tr>
<tr class="row-odd"><td>gray</td>
<td>sequential linearly-increasing black-to-white
grayscale</td>
</tr>
<tr class="row-even"><td>hot</td>
<td>sequential black-red-yellow-white, to emulate blackbody
radiation from an object at increasing temperatures</td>
</tr>
<tr class="row-odd"><td>hsv</td>
<td>cyclic red-yellow-green-cyan-blue-magenta-red, formed
by changing the hue component in the HSV color space</td>
</tr>
<tr class="row-even"><td>jet</td>
<td>a spectral map with dark endpoints, blue-cyan-yellow-red;
based on a fluid-jet simulation by NCSA <a class="footnote-reference" href="#id8" id="id3">[1]</a></td>
</tr>
<tr class="row-odd"><td>pink</td>
<td>sequential increasing pastel black-pink-white, meant
for sepia tone colorization of photographs</td>
</tr>
<tr class="row-even"><td>prism</td>
<td>repetitive red-yellow-green-blue-purple-...-green pattern
(not cyclic at endpoints)</td>
</tr>
<tr class="row-odd"><td>spring</td>
<td>linearly-increasing shades of magenta-yellow</td>
</tr>
<tr class="row-even"><td>summer</td>
<td>sequential linearly-increasing shades of green-yellow</td>
</tr>
<tr class="row-odd"><td>winter</td>
<td>linearly-increasing shades of blue-green</td>
</tr>
</tbody>
</table>
</div></blockquote>
<p>For the above list only, you can also set the colormap using the
corresponding pylab shortcut interface function, similar to Matlab:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="n">imshow</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
<span class="n">hot</span><span class="p">()</span>
<span class="n">jet</span><span class="p">()</span>
</pre></div>
</div>
<p>The next set of palettes are from the <a class="reference external" href="http://yorick.sourceforge.net/index.php">Yorick scientific visualisation
package</a>, an evolution of
the GIST package, both by David H. Munro:</p>
<blockquote>
<div><table border="1" class="docutils">
<colgroup>
<col width="18%" />
<col width="82%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Colormap</th>
<th class="head">Description</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td>gist_earth</td>
<td>mapmaker’s colors from dark blue deep ocean to green
lowlands to brown highlands to white mountains</td>
</tr>
<tr class="row-odd"><td>gist_heat</td>
<td>sequential increasing black-red-orange-white, to emulate
blackbody radiation from an iron bar as it grows hotter</td>
</tr>
<tr class="row-even"><td>gist_ncar</td>
<td>pseudo-spectral black-blue-green-yellow-red-purple-white
colormap from National Center for Atmospheric
Research <a class="footnote-reference" href="#id9" id="id4">[2]</a></td>
</tr>
<tr class="row-odd"><td>gist_rainbow</td>
<td>runs through the colors in spectral order from red to
violet at full saturation (like <em>hsv</em> but not cyclic)</td>
</tr>
<tr class="row-even"><td>gist_stern</td>
<td>“Stern special” color table from Interactive Data
Language software</td>
</tr>
</tbody>
</table>
</div></blockquote>
<p>The following colormaps are based on the <a class="reference external" href="http://colorbrewer.org">ColorBrewer</a> color specifications and designs developed by
Cynthia Brewer:</p>
<p>ColorBrewer Diverging (luminance is highest at the midpoint, and
decreases towards differently-colored endpoints):</p>
<blockquote>
<div><table border="1" class="docutils">
<colgroup>
<col width="19%" />
<col width="81%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Colormap</th>
<th class="head">Description</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td>BrBG</td>
<td>brown, white, blue-green</td>
</tr>
<tr class="row-odd"><td>PiYG</td>
<td>pink, white, yellow-green</td>
</tr>
<tr class="row-even"><td>PRGn</td>
<td>purple, white, green</td>
</tr>
<tr class="row-odd"><td>PuOr</td>
<td>orange, white, purple</td>
</tr>
<tr class="row-even"><td>RdBu</td>
<td>red, white, blue</td>
</tr>
<tr class="row-odd"><td>RdGy</td>
<td>red, white, gray</td>
</tr>
<tr class="row-even"><td>RdYlBu</td>
<td>red, yellow, blue</td>
</tr>
<tr class="row-odd"><td>RdYlGn</td>
<td>red, yellow, green</td>
</tr>
<tr class="row-even"><td>Spectral</td>
<td>red, orange, yellow, green, blue</td>
</tr>
</tbody>
</table>
</div></blockquote>
<p>ColorBrewer Sequential (luminance decreases monotonically):</p>
<blockquote>
<div><table border="1" class="docutils">
<colgroup>
<col width="18%" />
<col width="82%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Colormap</th>
<th class="head">Description</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td>Blues</td>
<td>white to dark blue</td>
</tr>
<tr class="row-odd"><td>BuGn</td>
<td>white, light blue, dark green</td>
</tr>
<tr class="row-even"><td>BuPu</td>
<td>white, light blue, dark purple</td>
</tr>
<tr class="row-odd"><td>GnBu</td>
<td>white, light green, dark blue</td>
</tr>
<tr class="row-even"><td>Greens</td>
<td>white to dark green</td>
</tr>
<tr class="row-odd"><td>Greys</td>
<td>white to black (not linear)</td>
</tr>
<tr class="row-even"><td>Oranges</td>
<td>white, orange, dark brown</td>
</tr>
<tr class="row-odd"><td>OrRd</td>
<td>white, orange, dark red</td>
</tr>
<tr class="row-even"><td>PuBu</td>
<td>white, light purple, dark blue</td>
</tr>
<tr class="row-odd"><td>PuBuGn</td>
<td>white, light purple, dark green</td>
</tr>
<tr class="row-even"><td>PuRd</td>
<td>white, light purple, dark red</td>
</tr>
<tr class="row-odd"><td>Purples</td>
<td>white to dark purple</td>
</tr>
<tr class="row-even"><td>RdPu</td>
<td>white, pink, dark purple</td>
</tr>
<tr class="row-odd"><td>Reds</td>
<td>white to dark red</td>
</tr>
<tr class="row-even"><td>YlGn</td>
<td>light yellow, dark green</td>
</tr>
<tr class="row-odd"><td>YlGnBu</td>
<td>light yellow, light green, dark blue</td>
</tr>
<tr class="row-even"><td>YlOrBr</td>
<td>light yellow, orange, dark brown</td>
</tr>
<tr class="row-odd"><td>YlOrRd</td>
<td>light yellow, orange, dark red</td>
</tr>
</tbody>
</table>
</div></blockquote>
<p>ColorBrewer Qualitative:</p>
<p>(For plotting nominal data, <tt class="xref py py-class docutils literal"><span class="pre">ListedColormap</span></tt> should be used,
not <tt class="xref py py-class docutils literal"><span class="pre">LinearSegmentedColormap</span></tt>. Different sets of colors are
recommended for different numbers of categories. These continuous
versions of the qualitative schemes may be removed or converted in the
future.)</p>
<ul class="simple">
<li>Accent</li>
<li>Dark2</li>
<li>Paired</li>
<li>Pastel1</li>
<li>Pastel2</li>
<li>Set1</li>
<li>Set2</li>
<li>Set3</li>
</ul>
<p>Other miscellaneous schemes:</p>
<blockquote>
<div><table border="1" class="docutils">
<colgroup>
<col width="19%" />
<col width="81%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Colormap</th>
<th class="head">Description</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td>afmhot</td>
<td>sequential black-orange-yellow-white blackbody
spectrum, commonly used in atomic force microscopy</td>
</tr>
<tr class="row-odd"><td>brg</td>
<td>blue-red-green</td>
</tr>
<tr class="row-even"><td>bwr</td>
<td>diverging blue-white-red</td>
</tr>
<tr class="row-odd"><td>coolwarm</td>
<td>diverging blue-gray-red, meant to avoid issues with 3D
shading, color blindness, and ordering of colors <a class="footnote-reference" href="#id10" id="id5">[3]</a></td>
</tr>
<tr class="row-even"><td>CMRmap</td>
<td>“Default colormaps on color images often reproduce to
confusing grayscale images. The proposed colormap
maintains an aesthetically pleasing color image that
automatically reproduces to a monotonic grayscale with
discrete, quantifiable saturation levels.” <a class="footnote-reference" href="#id11" id="id6">[4]</a></td>
</tr>
<tr class="row-odd"><td>cubehelix</td>
<td>Unlike most other color schemes cubehelix was designed
by D.A. Green to be monotonically increasing in terms
of perceived brightness. Also, when printed on a black
and white postscript printer, the scheme results in a
greyscale with monotonically increasing brightness.
This color scheme is named cubehelix because the r,g,b
values produced can be visualised as a squashed helix
around the diagonal in the r,g,b color cube.</td>
</tr>
<tr class="row-even"><td>gnuplot</td>
<td>gnuplot’s traditional pm3d scheme
(black-blue-red-yellow)</td>
</tr>
<tr class="row-odd"><td>gnuplot2</td>
<td>sequential color printable as gray
(black-blue-violet-yellow-white)</td>
</tr>
<tr class="row-even"><td>ocean</td>
<td>green-blue-white</td>
</tr>
<tr class="row-odd"><td>rainbow</td>
<td>spectral purple-blue-green-yellow-orange-red colormap
with diverging luminance</td>
</tr>
<tr class="row-even"><td>seismic</td>
<td>diverging blue-white-red</td>
</tr>
<tr class="row-odd"><td>nipy_spectral</td>
<td>black-purple-blue-green-yellow-red-white spectrum,
originally from the Neuroimaging in Python project</td>
</tr>
<tr class="row-even"><td>terrain</td>
<td>mapmaker’s colors, blue-green-yellow-brown-white,
originally from IGOR Pro</td>
</tr>
</tbody>
</table>
</div></blockquote>
<p>The following colormaps are redundant and may be removed in future
versions. It’s recommended to use the names in the descriptions
instead, which produce identical output:</p>
<blockquote>
<div><table border="1" class="docutils">
<colgroup>
<col width="14%" />
<col width="86%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">Colormap</th>
<th class="head">Description</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td>gist_gray</td>
<td>identical to <em>gray</em></td>
</tr>
<tr class="row-odd"><td>gist_yarg</td>
<td>identical to <em>gray_r</em></td>
</tr>
<tr class="row-even"><td>binary</td>
<td>identical to <em>gray_r</em></td>
</tr>
<tr class="row-odd"><td>spectral</td>
<td>identical to <em>nipy_spectral</em> <a class="footnote-reference" href="#id12" id="id7">[5]</a></td>
</tr>
</tbody>
</table>
</div></blockquote>
<p class="rubric">Footnotes</p>
<table class="docutils footnote" frame="void" id="id8" rules="none">
<colgroup><col class="label" /><col /></colgroup>
<tbody valign="top">
<tr><td class="label"><a class="fn-backref" href="#id3">[1]</a></td><td>Rainbow colormaps, <tt class="docutils literal"><span class="pre">jet</span></tt> in particular, are considered a poor
choice for scientific visualization by many researchers: <a class="reference external" href="http://www.jwave.vt.edu/%7Erkriz/Projects/create_color_table/color_07.pdf">Rainbow Color
Map (Still) Considered Harmful</a></td></tr>
</tbody>
</table>
<table class="docutils footnote" frame="void" id="id9" rules="none">
<colgroup><col class="label" /><col /></colgroup>
<tbody valign="top">
<tr><td class="label"><a class="fn-backref" href="#id4">[2]</a></td><td>Resembles “BkBlAqGrYeOrReViWh200” from NCAR Command
Language. See <a class="reference external" href="http://www.ncl.ucar.edu/Document/Graphics/color_table_gallery.shtml">Color Table Gallery</a></td></tr>
</tbody>
</table>
<table class="docutils footnote" frame="void" id="id10" rules="none">
<colgroup><col class="label" /><col /></colgroup>
<tbody valign="top">
<tr><td class="label"><a class="fn-backref" href="#id5">[3]</a></td><td>See <a class="reference external" href="http://www.cs.unm.edu/~kmorel/documents/ColorMaps/">Diverging Color Maps for Scientific Visualization</a> by Kenneth
Moreland.</td></tr>
</tbody>
</table>
<table class="docutils footnote" frame="void" id="id11" rules="none">
<colgroup><col class="label" /><col /></colgroup>
<tbody valign="top">
<tr><td class="label"><a class="fn-backref" href="#id6">[4]</a></td><td>See <a class="reference external" href="http://www.mathworks.com/matlabcentral/fileexchange/2662-cmrmap-m">A Color Map for Effective Black-and-White Rendering of
Color-Scale Images</a>
by Carey Rappaport</td></tr>
</tbody>
</table>
<table class="docutils footnote" frame="void" id="id12" rules="none">
<colgroup><col class="label" /><col /></colgroup>
<tbody valign="top">
<tr><td class="label"><a class="fn-backref" href="#id7">[5]</a></td><td>Changed to distinguish from ColorBrewer’s <em>Spectral</em> map.
<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.spectral" title="matplotlib.pyplot.spectral"><tt class="xref py py-func docutils literal"><span class="pre">spectral()</span></tt></a> still works, but
<tt class="docutils literal"><span class="pre">set_cmap('nipy_spectral')</span></tt> is recommended for clarity.</td></tr>
</tbody>
</table>
</dd></dl>
</div>
</div>
</div>
</div>
<div class="clearer"></div>
</div>
<div class="related">
<h3>Navigation</h3>
<ul>
<li class="right" style="margin-right: 10px">
<a href="../genindex.html" title="General Index"
>index</a></li>
<li class="right" >
<a href="../py-modindex.html" title="Python Module Index"
>modules</a> |</li>
<li class="right" >
<a href="api_changes.html" title="API Changes"
>next</a> |</li>
<li class="right" >
<a href="index.html" title="The Matplotlib API"
>previous</a> |</li>
<li><a href="../index.html">home</a>| </li>
<li><a href="../examples/index.html">examples</a>| </li>
<li><a href="../gallery.html">gallery</a>| </li>
<li><a href="#">pyplot</a>| </li>
<li><a href="../contents.html">docs</a> »</li>
<li><a href="index.html" >The Matplotlib API</a> »</li>
</ul>
</div>
<div class="footer">
© Copyright 2013 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the matplotlib development team.
Last updated on May 13, 2013.
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.2b1.
</div>
</body>
</html>