forked from matplotlib/matplotlib.github.com
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathcustomizing.html
More file actions
1111 lines (990 loc) · 72.2 KB
/
customizing.html
File metadata and controls
1111 lines (990 loc) · 72.2 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
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
<!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>Customizing matplotlib — Matplotlib 2.0.2 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: '2.0.2',
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 2.0.2 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 2.0.2 documentation" href="../index.html" />
<link rel="up" title="User’s Guide" href="index.html" />
<link rel="next" title="Interactive plots" href="interactive.html" />
<link rel="prev" title="Colormap Normalization" href="colormapnorms.html" />
</head>
<body>
<!-- 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.svg" width="540px" 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="interactive.html" title="Interactive plots"
accesskey="N">next</a> |</li>
<li class="right" >
<a href="colormapnorms.html" title="Colormap Normalization"
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="../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="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="#">Customizing matplotlib</a><ul>
<li><a class="reference internal" href="#using-style-sheets">Using style sheets</a><ul>
<li><a class="reference internal" href="#defining-your-own-style">Defining your own style</a></li>
<li><a class="reference internal" href="#composing-styles">Composing styles</a></li>
<li><a class="reference internal" href="#temporary-styling">Temporary styling</a></li>
</ul>
</li>
<li><a class="reference internal" href="#matplotlib-rcparams">matplotlib rcParams</a><ul>
<li><a class="reference internal" href="#dynamic-rc-settings">Dynamic rc settings</a></li>
<li><a class="reference internal" href="#the-matplotlibrc-file">The <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file</a><ul>
<li><a class="reference internal" href="#a-sample-matplotlibrc-file">A sample matplotlibrc file</a></li>
</ul>
</li>
</ul>
</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="colormapnorms.html" title="previous chapter">Colormap Normalization</a></li>
<li>Next: <a href="interactive.html" title="next chapter">Interactive plots</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/customizing.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="customizing-matplotlib">
<span id="id1"></span><h1>Customizing matplotlib<a class="headerlink" href="#customizing-matplotlib" title="Permalink to this headline">¶</a></h1>
<div class="section" id="using-style-sheets">
<h2>Using style sheets<a class="headerlink" href="#using-style-sheets" title="Permalink to this headline">¶</a></h2>
<p>The <code class="docutils literal"><span class="pre">style</span></code> package adds support for easy-to-switch plotting “styles” with
the same parameters as a <a class="reference external" href="http://matplotlib.org/users/customizing.html">matplotlibrc</a> file (which is read at startup to
configure matplotlib).</p>
<p>There are a number of pre-defined styles provided by matplotlib. For
example, there’s a pre-defined style called “ggplot”, which emulates the
aesthetics of <a class="reference external" href="http://ggplot2.org/">ggplot</a> (a popular plotting package for <a class="reference external" href="https://www.r-project.org/">R</a>). To use this style,
just add:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="gp">>>> </span><span class="n">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">'ggplot'</span><span class="p">)</span>
</pre></div>
</div>
<p>To list all available styles, use:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">available</span><span class="p">)</span>
</pre></div>
</div>
<div class="section" id="defining-your-own-style">
<h3>Defining your own style<a class="headerlink" href="#defining-your-own-style" title="Permalink to this headline">¶</a></h3>
<p>You can create custom styles and use them by calling <code class="docutils literal"><span class="pre">style.use</span></code> with the
path or URL to the style sheet. Additionally, if you add your
<code class="docutils literal"><span class="pre"><style-name>.mplstyle</span></code> file to <code class="docutils literal"><span class="pre">mpl_configdir/stylelib</span></code>, you can reuse
your custom style sheet with a call to <code class="docutils literal"><span class="pre">style.use(<style-name>)</span></code>. By default
<code class="docutils literal"><span class="pre">mpl_configdir</span></code> should be <code class="docutils literal"><span class="pre">~/.config/matplotlib</span></code>, but you can check where
yours is with <code class="docutils literal"><span class="pre">matplotlib.get_configdir()</span></code>; you may need to create this
directory. You also can change the directory where matplotlib looks for
the stylelib/ folder by setting the MPLCONFIGDIR environment variable,
see <a class="reference internal" href="../faq/troubleshooting_faq.html#locating-matplotlib-config-dir"><span class="std std-ref">matplotlib configuration and cache directory locations</span></a>.</p>
<p>Note that a custom style sheet in <code class="docutils literal"><span class="pre">mpl_configdir/stylelib</span></code> will
override a style sheet defined by matplotlib if the styles have the same name.</p>
<p>For example, you might want to create
<code class="docutils literal"><span class="pre">mpl_configdir/stylelib/presentation.mplstyle</span></code> with the following:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">axes</span><span class="o">.</span><span class="n">titlesize</span> <span class="p">:</span> <span class="mi">24</span>
<span class="n">axes</span><span class="o">.</span><span class="n">labelsize</span> <span class="p">:</span> <span class="mi">20</span>
<span class="n">lines</span><span class="o">.</span><span class="n">linewidth</span> <span class="p">:</span> <span class="mi">3</span>
<span class="n">lines</span><span class="o">.</span><span class="n">markersize</span> <span class="p">:</span> <span class="mi">10</span>
<span class="n">xtick</span><span class="o">.</span><span class="n">labelsize</span> <span class="p">:</span> <span class="mi">16</span>
<span class="n">ytick</span><span class="o">.</span><span class="n">labelsize</span> <span class="p">:</span> <span class="mi">16</span>
</pre></div>
</div>
<p>Then, when you want to adapt a plot designed for a paper to one that looks
good in a presentation, you can just add:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="gp">>>> </span><span class="n">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">'presentation'</span><span class="p">)</span>
</pre></div>
</div>
</div>
<div class="section" id="composing-styles">
<h3>Composing styles<a class="headerlink" href="#composing-styles" title="Permalink to this headline">¶</a></h3>
<p>Style sheets are designed to be composed together. So you can have a style
sheet that customizes colors and a separate style sheet that alters element
sizes for presentations. These styles can easily be combined by passing
a list of styles:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="gp">>>> </span><span class="n">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">use</span><span class="p">([</span><span class="s1">'dark_background'</span><span class="p">,</span> <span class="s1">'presentation'</span><span class="p">])</span>
</pre></div>
</div>
<p>Note that styles further to the right will overwrite values that are already
defined by styles on the left.</p>
</div>
<div class="section" id="temporary-styling">
<h3>Temporary styling<a class="headerlink" href="#temporary-styling" title="Permalink to this headline">¶</a></h3>
<p>If you only want to use a style for a specific block of code but don’t want
to change the global styling, the style package provides a context manager
for limiting your changes to a specific scope. To isolate your styling
changes, you can write something like the following:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="go">>>></span>
<span class="gp">>>> </span><span class="k">with</span> <span class="n">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">context</span><span class="p">((</span><span class="s1">'dark_background'</span><span class="p">)):</span>
<span class="gp">>>> </span> <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">)),</span> <span class="s1">'r-o'</span><span class="p">)</span>
<span class="go">>>></span>
<span class="gp">>>> </span><span class="c1"># Some plotting code with the default style</span>
<span class="go">>>></span>
<span class="gp">>>> </span><span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
</div>
</div>
<div class="section" id="matplotlib-rcparams">
<h2>matplotlib rcParams<a class="headerlink" href="#matplotlib-rcparams" title="Permalink to this headline">¶</a></h2>
<div class="section" id="dynamic-rc-settings">
<span id="customizing-with-dynamic-rc-settings"></span><h3>Dynamic rc settings<a class="headerlink" href="#dynamic-rc-settings" title="Permalink to this headline">¶</a></h3>
<p>You can also dynamically change the default rc settings in a python script or
interactively from the python shell. All of the rc settings are stored in a
dictionary-like variable called <a class="reference internal" href="../api/matplotlib_configuration_api.html#matplotlib.rcParams" title="matplotlib.rcParams"><code class="xref py py-data docutils literal"><span class="pre">matplotlib.rcParams</span></code></a>, which is global to
the matplotlib package. rcParams can be modified directly, for example:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'lines.linewidth'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">2</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">'lines.color'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'r'</span>
</pre></div>
</div>
<p>Matplotlib also provides a couple of convenience functions for modifying rc
settings. The <a class="reference internal" href="../api/matplotlib_configuration_api.html#matplotlib.rc" title="matplotlib.rc"><code class="xref py py-func docutils literal"><span class="pre">matplotlib.rc()</span></code></a> command can be used to modify multiple
settings in a single group at once, using keyword arguments:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
<span class="n">mpl</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">'lines'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'r'</span><span class="p">)</span>
</pre></div>
</div>
<p>The <code class="xref py py-func docutils literal"><span class="pre">matplotlib.rcdefaults()</span></code> command will restore the standard matplotlib
default settings.</p>
<p>There is some degree of validation when setting the values of rcParams, see
<a class="reference internal" href="../api/rcsetup_api.html#module-matplotlib.rcsetup" title="matplotlib.rcsetup"><code class="xref py py-mod docutils literal"><span class="pre">matplotlib.rcsetup</span></code></a> for details.</p>
</div>
<div class="section" id="the-matplotlibrc-file">
<span id="customizing-with-matplotlibrc-files"></span><h3>The <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file<a class="headerlink" href="#the-matplotlibrc-file" title="Permalink to this headline">¶</a></h3>
<p>matplotlib uses <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> configuration files to customize all kinds
of properties, which we call <code class="xref py py-obj docutils literal"><span class="pre">rc</span> <span class="pre">settings</span></code> or <code class="xref py py-obj docutils literal"><span class="pre">rc</span> <span class="pre">parameters</span></code>. You can control
the defaults of almost every property in matplotlib: figure size and dpi, line
width, color and style, axes, axis and grid properties, text and font
properties and so on. matplotlib looks for <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> in four
locations, in the following order:</p>
<ol class="arabic">
<li><p class="first"><code class="file docutils literal"><span class="pre">matplotlibrc</span></code> in the current working directory, usually used for
specific customizations that you do not want to apply elsewhere.</p>
</li>
<li><p class="first"><code class="file docutils literal"><span class="pre">$MATPLOTLIBRC/matplotlibrc</span></code>.</p>
</li>
<li><p class="first">It next looks in a user-specific place, depending on your platform:</p>
<ul class="simple">
<li>On Linux and FreeBSD, it looks in <code class="file docutils literal"><span class="pre">.config/matplotlib/matplotlibrc</span></code>
(or <code class="xref py py-obj docutils literal"><span class="pre">$XDG_CONFIG_HOME/matplotlib/matplotlibrc</span></code>) if you’ve customized
your environment.</li>
<li>On other platforms, it looks in <code class="file docutils literal"><span class="pre">.matplotlib/matplotlibrc</span></code>.</li>
</ul>
<p>See <a class="reference internal" href="../faq/troubleshooting_faq.html#locating-matplotlib-config-dir"><span class="std std-ref">matplotlib configuration and cache directory locations</span></a>.</p>
</li>
<li><p class="first"><code class="file docutils literal"><em><span class="pre">INSTALL</span></em><span class="pre">/matplotlib/mpl-data/matplotlibrc</span></code>, where
<code class="file docutils literal"><em><span class="pre">INSTALL</span></em></code> is something like
<code class="file docutils literal"><span class="pre">/usr/lib/python3.5/site-packages</span></code> on Linux, and maybe
<code class="file docutils literal"><span class="pre">C:\Python35\Lib\site-packages</span></code> on Windows. Every time you
install matplotlib, this file will be overwritten, so if you want
your customizations to be saved, please move this file to your
user-specific matplotlib directory.</p>
</li>
</ol>
<p>To display where the currently active <code class="file docutils literal"><span class="pre">matplotlibrc</span></code> file was
loaded from, one can do the following:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">matplotlib</span>
<span class="gp">>>> </span><span class="n">matplotlib</span><span class="o">.</span><span class="n">matplotlib_fname</span><span class="p">()</span>
<span class="go">'/home/foo/.config/matplotlib/matplotlibrc'</span>
</pre></div>
</div>
<p>See below for a sample <a class="reference internal" href="#matplotlibrc-sample"><span class="std std-ref">matplotlibrc file</span></a>.</p>
<div class="section" id="a-sample-matplotlibrc-file">
<span id="matplotlibrc-sample"></span><h4>A sample matplotlibrc file<a class="headerlink" href="#a-sample-matplotlibrc-file" title="Permalink to this headline">¶</a></h4>
<a class="reference external" href="../_static/matplotlibrc">(download)</a><div class="highlight-default"><div class="highlight"><pre><span></span><span class="c1">### MATPLOTLIBRC FORMAT</span>
<span class="c1"># This is a sample matplotlib configuration file - you can find a copy</span>
<span class="c1"># of it on your system in</span>
<span class="c1"># site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it</span>
<span class="c1"># there, please note that it will be overwritten in your next install.</span>
<span class="c1"># If you want to keep a permanent local copy that will not be</span>
<span class="c1"># overwritten, place it in the following location:</span>
<span class="c1"># unix/linux:</span>
<span class="c1"># $HOME/.config/matplotlib/matplotlibrc or</span>
<span class="c1"># $XDG_CONFIG_HOME/matplotlib/matplotlibrc (if $XDG_CONFIG_HOME is set)</span>
<span class="c1"># other platforms:</span>
<span class="c1"># $HOME/.matplotlib/matplotlibrc</span>
<span class="c1">#</span>
<span class="c1"># See http://matplotlib.org/users/customizing.html#the-matplotlibrc-file for</span>
<span class="c1"># more details on the paths which are checked for the configuration file.</span>
<span class="c1">#</span>
<span class="c1"># This file is best viewed in a editor which supports python mode</span>
<span class="c1"># syntax highlighting. Blank lines, or lines starting with a comment</span>
<span class="c1"># symbol, are ignored, as are trailing comments. Other lines must</span>
<span class="c1"># have the format</span>
<span class="c1"># key : val # optional comment</span>
<span class="c1">#</span>
<span class="c1"># Colors: for the color values below, you can either use - a</span>
<span class="c1"># matplotlib color string, such as r, k, or b - an rgb tuple, such as</span>
<span class="c1"># (1.0, 0.5, 0.0) - a hex string, such as ff00ff - a scalar</span>
<span class="c1"># grayscale intensity such as 0.75 - a legal html color name, e.g., red,</span>
<span class="c1"># blue, darkslategray</span>
<span class="c1">#### CONFIGURATION BEGINS HERE</span>
<span class="c1"># The default backend; one of GTK GTKAgg GTKCairo GTK3Agg GTK3Cairo</span>
<span class="c1"># MacOSX Qt4Agg Qt5Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG</span>
<span class="c1"># Template.</span>
<span class="c1"># You can also deploy your own backend outside of matplotlib by</span>
<span class="c1"># referring to the module name (which must be in the PYTHONPATH) as</span>
<span class="c1"># 'module://my_backend'.</span>
<span class="n">backend</span> <span class="p">:</span> <span class="n">TkAgg</span>
<span class="c1"># If you are using the Qt4Agg backend, you can choose here</span>
<span class="c1"># to use the PyQt4 bindings or the newer PySide bindings to</span>
<span class="c1"># the underlying Qt4 toolkit.</span>
<span class="c1">#backend.qt4 : PyQt4 # PyQt4 | PySide</span>
<span class="c1"># Note that this can be overridden by the environment variable</span>
<span class="c1"># QT_API used by Enthought Tool Suite (ETS); valid values are</span>
<span class="c1"># "pyqt" and "pyside". The "pyqt" setting has the side effect of</span>
<span class="c1"># forcing the use of Version 2 API for QString and QVariant.</span>
<span class="c1"># The port to use for the web server in the WebAgg backend.</span>
<span class="c1"># webagg.port : 8888</span>
<span class="c1"># If webagg.port is unavailable, a number of other random ports will</span>
<span class="c1"># be tried until one that is available is found.</span>
<span class="c1"># webagg.port_retries : 50</span>
<span class="c1"># When True, open the webbrowser to the plot that is shown</span>
<span class="c1"># webagg.open_in_browser : True</span>
<span class="c1"># When True, the figures rendered in the nbagg backend are created with</span>
<span class="c1"># a transparent background.</span>
<span class="c1"># nbagg.transparent : False</span>
<span class="c1"># if you are running pyplot inside a GUI and your backend choice</span>
<span class="c1"># conflicts, we will automatically try to find a compatible one for</span>
<span class="c1"># you if backend_fallback is True</span>
<span class="c1">#backend_fallback: True</span>
<span class="c1">#interactive : False</span>
<span class="c1">#toolbar : toolbar2 # None | toolbar2 ("classic" is deprecated)</span>
<span class="c1">#timezone : UTC # a pytz timezone string, e.g., US/Central or Europe/Paris</span>
<span class="c1"># Where your matplotlib data lives if you installed to a non-default</span>
<span class="c1"># location. This is where the matplotlib fonts, bitmaps, etc reside</span>
<span class="c1">#datapath : /home/jdhunter/mpldata</span>
<span class="c1">### LINES</span>
<span class="c1"># See http://matplotlib.org/api/artist_api.html#module-matplotlib.lines for more</span>
<span class="c1"># information on line properties.</span>
<span class="c1">#lines.linewidth : 1.5 # line width in points</span>
<span class="c1">#lines.linestyle : - # solid line</span>
<span class="c1">#lines.color : C0 # has no affect on plot(); see axes.prop_cycle</span>
<span class="c1">#lines.marker : None # the default marker</span>
<span class="c1">#lines.markeredgewidth : 1.0 # the line width around the marker symbol</span>
<span class="c1">#lines.markersize : 6 # markersize, in points</span>
<span class="c1">#lines.dash_joinstyle : miter # miter|round|bevel</span>
<span class="c1">#lines.dash_capstyle : butt # butt|round|projecting</span>
<span class="c1">#lines.solid_joinstyle : miter # miter|round|bevel</span>
<span class="c1">#lines.solid_capstyle : projecting # butt|round|projecting</span>
<span class="c1">#lines.antialiased : True # render lines in antialiased (no jaggies)</span>
<span class="c1"># The three standard dash patterns. These are scaled by the linewidth.</span>
<span class="c1">#lines.dashed_pattern : 2.8, 1.2</span>
<span class="c1">#lines.dashdot_pattern : 4.8, 1.2, 0.8, 1.2</span>
<span class="c1">#lines.dotted_pattern : 1.1, 1.1</span>
<span class="c1">#lines.scale_dashes : True</span>
<span class="c1">#markers.fillstyle: full # full|left|right|bottom|top|none</span>
<span class="c1">### PATCHES</span>
<span class="c1"># Patches are graphical objects that fill 2D space, like polygons or</span>
<span class="c1"># circles. See</span>
<span class="c1"># http://matplotlib.org/api/artist_api.html#module-matplotlib.patches</span>
<span class="c1"># information on patch properties</span>
<span class="c1">#patch.linewidth : 1 # edge width in points.</span>
<span class="c1">#patch.facecolor : C0</span>
<span class="c1">#patch.edgecolor : black # if forced, or patch is not filled</span>
<span class="c1">#patch.force_edgecolor : False # True to always use edgecolor</span>
<span class="c1">#patch.antialiased : True # render patches in antialiased (no jaggies)</span>
<span class="c1">### HATCHES</span>
<span class="c1">#hatch.color : k</span>
<span class="c1">#hatch.linewidth : 1.0</span>
<span class="c1">### Boxplot</span>
<span class="c1">#boxplot.notch : False</span>
<span class="c1">#boxplot.vertical : True</span>
<span class="c1">#boxplot.whiskers : 1.5</span>
<span class="c1">#boxplot.bootstrap : None</span>
<span class="c1">#boxplot.patchartist : False</span>
<span class="c1">#boxplot.showmeans : False</span>
<span class="c1">#boxplot.showcaps : True</span>
<span class="c1">#boxplot.showbox : True</span>
<span class="c1">#boxplot.showfliers : True</span>
<span class="c1">#boxplot.meanline : False</span>
<span class="c1">#boxplot.flierprops.color : 'k'</span>
<span class="c1">#boxplot.flierprops.marker : 'o'</span>
<span class="c1">#boxplot.flierprops.markerfacecolor : 'none'</span>
<span class="c1">#boxplot.flierprops.markeredgecolor : 'k'</span>
<span class="c1">#boxplot.flierprops.markersize : 6</span>
<span class="c1">#boxplot.flierprops.linestyle : 'none'</span>
<span class="c1">#boxplot.flierprops.linewidth : 1.0</span>
<span class="c1">#boxplot.boxprops.color : 'k'</span>
<span class="c1">#boxplot.boxprops.linewidth : 1.0</span>
<span class="c1">#boxplot.boxprops.linestyle : '-'</span>
<span class="c1">#boxplot.whiskerprops.color : 'k'</span>
<span class="c1">#boxplot.whiskerprops.linewidth : 1.0</span>
<span class="c1">#boxplot.whiskerprops.linestyle : '-'</span>
<span class="c1">#boxplot.capprops.color : 'k'</span>
<span class="c1">#boxplot.capprops.linewidth : 1.0</span>
<span class="c1">#boxplot.capprops.linestyle : '-'</span>
<span class="c1">#boxplot.medianprops.color : 'C1'</span>
<span class="c1">#boxplot.medianprops.linewidth : 1.0</span>
<span class="c1">#boxplot.medianprops.linestyle : '-'</span>
<span class="c1">#boxplot.meanprops.color : 'C2'</span>
<span class="c1">#boxplot.meanprops.marker : '^'</span>
<span class="c1">#boxplot.meanprops.markerfacecolor : 'C2'</span>
<span class="c1">#boxplot.meanprops.markeredgecolor : 'C2'</span>
<span class="c1">#boxplot.meanprops.markersize : 6</span>
<span class="c1">#boxplot.meanprops.linestyle : 'none'</span>
<span class="c1">#boxplot.meanprops.linewidth : 1.0</span>
<span class="c1">### FONT</span>
<span class="c1">#</span>
<span class="c1"># font properties used by text.Text. See</span>
<span class="c1"># http://matplotlib.org/api/font_manager_api.html for more</span>
<span class="c1"># information on font properties. The 6 font properties used for font</span>
<span class="c1"># matching are given below with their default values.</span>
<span class="c1">#</span>
<span class="c1"># The font.family property has five values: 'serif' (e.g., Times),</span>
<span class="c1"># 'sans-serif' (e.g., Helvetica), 'cursive' (e.g., Zapf-Chancery),</span>
<span class="c1"># 'fantasy' (e.g., Western), and 'monospace' (e.g., Courier). Each of</span>
<span class="c1"># these font families has a default list of font names in decreasing</span>
<span class="c1"># order of priority associated with them. When text.usetex is False,</span>
<span class="c1"># font.family may also be one or more concrete font names.</span>
<span class="c1">#</span>
<span class="c1"># The font.style property has three values: normal (or roman), italic</span>
<span class="c1"># or oblique. The oblique style will be used for italic, if it is not</span>
<span class="c1"># present.</span>
<span class="c1">#</span>
<span class="c1"># The font.variant property has two values: normal or small-caps. For</span>
<span class="c1"># TrueType fonts, which are scalable fonts, small-caps is equivalent</span>
<span class="c1"># to using a font size of 'smaller', or about 83%% of the current font</span>
<span class="c1"># size.</span>
<span class="c1">#</span>
<span class="c1"># The font.weight property has effectively 13 values: normal, bold,</span>
<span class="c1"># bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as</span>
<span class="c1"># 400, and bold is 700. bolder and lighter are relative values with</span>
<span class="c1"># respect to the current weight.</span>
<span class="c1">#</span>
<span class="c1"># The font.stretch property has 11 values: ultra-condensed,</span>
<span class="c1"># extra-condensed, condensed, semi-condensed, normal, semi-expanded,</span>
<span class="c1"># expanded, extra-expanded, ultra-expanded, wider, and narrower. This</span>
<span class="c1"># property is not currently implemented.</span>
<span class="c1">#</span>
<span class="c1"># The font.size property is the default font size for text, given in pts.</span>
<span class="c1"># 10 pt is the standard value.</span>
<span class="c1">#</span>
<span class="c1">#font.family : sans-serif</span>
<span class="c1">#font.style : normal</span>
<span class="c1">#font.variant : normal</span>
<span class="c1">#font.weight : medium</span>
<span class="c1">#font.stretch : normal</span>
<span class="c1"># note that font.size controls default text sizes. To configure</span>
<span class="c1"># special text sizes tick labels, axes, labels, title, etc, see the rc</span>
<span class="c1"># settings for axes and ticks. Special text sizes can be defined</span>
<span class="c1"># relative to font.size, using the following values: xx-small, x-small,</span>
<span class="c1"># small, medium, large, x-large, xx-large, larger, or smaller</span>
<span class="c1">#font.size : 10.0</span>
<span class="c1">#font.serif : DejaVu Serif, Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif</span>
<span class="c1">#font.sans-serif : DejaVu Sans, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif</span>
<span class="c1">#font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive</span>
<span class="c1">#font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, Humor Sans, xkcd, fantasy</span>
<span class="c1">#font.monospace : DejaVu Sans Mono, Bitstream Vera Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace</span>
<span class="c1">### TEXT</span>
<span class="c1"># text properties used by text.Text. See</span>
<span class="c1"># http://matplotlib.org/api/artist_api.html#module-matplotlib.text for more</span>
<span class="c1"># information on text properties</span>
<span class="c1">#text.color : black</span>
<span class="c1">### LaTeX customizations. See http://wiki.scipy.org/Cookbook/Matplotlib/UsingTex</span>
<span class="c1">#text.usetex : False # use latex for all text handling. The following fonts</span>
<span class="c1"># are supported through the usual rc parameter settings:</span>
<span class="c1"># new century schoolbook, bookman, times, palatino,</span>
<span class="c1"># zapf chancery, charter, serif, sans-serif, helvetica,</span>
<span class="c1"># avant garde, courier, monospace, computer modern roman,</span>
<span class="c1"># computer modern sans serif, computer modern typewriter</span>
<span class="c1"># If another font is desired which can loaded using the</span>
<span class="c1"># LaTeX \usepackage command, please inquire at the</span>
<span class="c1"># matplotlib mailing list</span>
<span class="c1">#text.latex.unicode : False # use "ucs" and "inputenc" LaTeX packages for handling</span>
<span class="c1"># unicode strings.</span>
<span class="c1">#text.latex.preamble : # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES</span>
<span class="c1"># AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP</span>
<span class="c1"># IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.</span>
<span class="c1"># preamble is a comma separated list of LaTeX statements</span>
<span class="c1"># that are included in the LaTeX document preamble.</span>
<span class="c1"># An example:</span>
<span class="c1"># text.latex.preamble : \usepackage{bm},\usepackage{euler}</span>
<span class="c1"># The following packages are always loaded with usetex, so</span>
<span class="c1"># beware of package collisions: color, geometry, graphicx,</span>
<span class="c1"># type1cm, textcomp. Adobe Postscript (PSSNFS) font packages</span>
<span class="c1"># may also be loaded, depending on your font settings</span>
<span class="c1">#text.dvipnghack : None # some versions of dvipng don't handle alpha</span>
<span class="c1"># channel properly. Use True to correct</span>
<span class="c1"># and flush ~/.matplotlib/tex.cache</span>
<span class="c1"># before testing and False to force</span>
<span class="c1"># correction off. None will try and</span>
<span class="c1"># guess based on your dvipng version</span>
<span class="c1">#text.hinting : auto # May be one of the following:</span>
<span class="c1"># 'none': Perform no hinting</span>
<span class="c1"># 'auto': Use FreeType's autohinter</span>
<span class="c1"># 'native': Use the hinting information in the</span>
<span class="c1"># font file, if available, and if your</span>
<span class="c1"># FreeType library supports it</span>
<span class="c1"># 'either': Use the native hinting information,</span>
<span class="c1"># or the autohinter if none is available.</span>
<span class="c1"># For backward compatibility, this value may also be</span>
<span class="c1"># True === 'auto' or False === 'none'.</span>
<span class="c1">#text.hinting_factor : 8 # Specifies the amount of softness for hinting in the</span>
<span class="c1"># horizontal direction. A value of 1 will hint to full</span>
<span class="c1"># pixels. A value of 2 will hint to half pixels etc.</span>
<span class="c1">#text.antialiased : True # If True (default), the text will be antialiased.</span>
<span class="c1"># This only affects the Agg backend.</span>
<span class="c1"># The following settings allow you to select the fonts in math mode.</span>
<span class="c1"># They map from a TeX font name to a fontconfig font pattern.</span>
<span class="c1"># These settings are only used if mathtext.fontset is 'custom'.</span>
<span class="c1"># Note that this "custom" mode is unsupported and may go away in the</span>
<span class="c1"># future.</span>
<span class="c1">#mathtext.cal : cursive</span>
<span class="c1">#mathtext.rm : serif</span>
<span class="c1">#mathtext.tt : monospace</span>
<span class="c1">#mathtext.it : serif:italic</span>
<span class="c1">#mathtext.bf : serif:bold</span>
<span class="c1">#mathtext.sf : sans</span>
<span class="c1">#mathtext.fontset : dejavusans # Should be 'dejavusans' (default),</span>
<span class="c1"># 'dejavuserif', 'cm' (Computer Modern), 'stix',</span>
<span class="c1"># 'stixsans' or 'custom'</span>
<span class="c1">#mathtext.fallback_to_cm : True # When True, use symbols from the Computer Modern</span>
<span class="c1"># fonts when a symbol can not be found in one of</span>
<span class="c1"># the custom math fonts.</span>
<span class="c1">#mathtext.default : it # The default font to use for math.</span>
<span class="c1"># Can be any of the LaTeX font names, including</span>
<span class="c1"># the special name "regular" for the same font</span>
<span class="c1"># used in regular text.</span>
<span class="c1">### AXES</span>
<span class="c1"># default face and edge color, default tick sizes,</span>
<span class="c1"># default fontsizes for ticklabels, and so on. See</span>
<span class="c1"># http://matplotlib.org/api/axes_api.html#module-matplotlib.axes</span>
<span class="c1">#axes.facecolor : white # axes background color</span>
<span class="c1">#axes.edgecolor : black # axes edge color</span>
<span class="c1">#axes.linewidth : 0.8 # edge linewidth</span>
<span class="c1">#axes.grid : False # display grid or not</span>
<span class="c1">#axes.titlesize : large # fontsize of the axes title</span>
<span class="c1">#axes.titlepad : 6.0 # pad between axes and title in points</span>
<span class="c1">#axes.labelsize : medium # fontsize of the x any y labels</span>
<span class="c1">#axes.labelpad : 4.0 # space between label and axis</span>
<span class="c1">#axes.labelweight : normal # weight of the x and y labels</span>
<span class="c1">#axes.labelcolor : black</span>
<span class="c1">#axes.axisbelow : 'line' # draw axis gridlines and ticks below</span>
<span class="c1"># patches (True); above patches but below</span>
<span class="c1"># lines ('line'); or above all (False)</span>
<span class="c1">#axes.formatter.limits : -7, 7 # use scientific notation if log10</span>
<span class="c1"># of the axis range is smaller than the</span>
<span class="c1"># first or larger than the second</span>
<span class="c1">#axes.formatter.use_locale : False # When True, format tick labels</span>
<span class="c1"># according to the user's locale.</span>
<span class="c1"># For example, use ',' as a decimal</span>
<span class="c1"># separator in the fr_FR locale.</span>
<span class="c1">#axes.formatter.use_mathtext : False # When True, use mathtext for scientific</span>
<span class="c1"># notation.</span>
<span class="c1">#axes.formatter.useoffset : True # If True, the tick label formatter</span>
<span class="c1"># will default to labeling ticks relative</span>
<span class="c1"># to an offset when the data range is</span>
<span class="c1"># small compared to the minimum absolute</span>
<span class="c1"># value of the data.</span>
<span class="c1">#axes.formatter.offset_threshold : 4 # When useoffset is True, the offset</span>
<span class="c1"># will be used when it can remove</span>
<span class="c1"># at least this number of significant</span>
<span class="c1"># digits from tick labels.</span>
<span class="c1"># axes.spines.left : True # display axis spines</span>
<span class="c1"># axes.spines.bottom : True</span>
<span class="c1"># axes.spines.top : True</span>
<span class="c1"># axes.spines.right : True</span>
<span class="c1">#axes.unicode_minus : True # use unicode for the minus symbol</span>
<span class="c1"># rather than hyphen. See</span>
<span class="c1"># http://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes</span>
<span class="c1">#axes.prop_cycle : cycler('color',</span>
<span class="c1"># ['1f77b4', 'ff7f0e', '2ca02c', 'd62728',</span>
<span class="c1"># '9467bd', '8c564b', 'e377c2', '7f7f7f',</span>
<span class="c1"># 'bcbd22', '17becf'])</span>
<span class="c1"># color cycle for plot lines</span>
<span class="c1"># as list of string colorspecs:</span>
<span class="c1"># single letter, long name, or</span>
<span class="c1"># web-style hex</span>
<span class="c1">#axes.autolimit_mode : data # How to scale axes limits to the data.</span>
<span class="c1"># Use "data" to use data limits, plus some margin</span>
<span class="c1"># Use "round_number" move to the nearest "round" number</span>
<span class="c1">#axes.xmargin : .05 # x margin. See `axes.Axes.margins`</span>
<span class="c1">#axes.ymargin : .05 # y margin See `axes.Axes.margins`</span>
<span class="c1">#polaraxes.grid : True # display grid on polar axes</span>
<span class="c1">#axes3d.grid : True # display grid on 3d axes</span>
<span class="c1">### DATES</span>
<span class="c1"># These control the default format strings used in AutoDateFormatter.</span>
<span class="c1"># Any valid format datetime format string can be used (see the python</span>
<span class="c1"># `datetime` for details). For example using '%%x' will use the locale date representation</span>
<span class="c1"># '%%X' will use the locale time representation and '%%c' will use the full locale datetime</span>
<span class="c1"># representation.</span>
<span class="c1"># These values map to the scales:</span>
<span class="c1"># {'year': 365, 'month': 30, 'day': 1, 'hour': 1/24, 'minute': 1 / (24 * 60)}</span>
<span class="c1"># date.autoformatter.year : %Y</span>
<span class="c1"># date.autoformatter.month : %Y-%m</span>
<span class="c1"># date.autoformatter.day : %Y-%m-%d</span>
<span class="c1"># date.autoformatter.hour : %m-%d %H</span>
<span class="c1"># date.autoformatter.minute : %d %H:%M</span>
<span class="c1"># date.autoformatter.second : %H:%M:%S</span>
<span class="c1"># date.autoformatter.microsecond : %M:%S.%f</span>
<span class="c1">### TICKS</span>
<span class="c1"># see http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick</span>
<span class="c1">#xtick.top : False # draw ticks on the top side</span>
<span class="c1">#xtick.bottom : True # draw ticks on the bottom side</span>
<span class="c1">#xtick.major.size : 3.5 # major tick size in points</span>
<span class="c1">#xtick.minor.size : 2 # minor tick size in points</span>
<span class="c1">#xtick.major.width : 0.8 # major tick width in points</span>
<span class="c1">#xtick.minor.width : 0.6 # minor tick width in points</span>
<span class="c1">#xtick.major.pad : 3.5 # distance to major tick label in points</span>
<span class="c1">#xtick.minor.pad : 3.4 # distance to the minor tick label in points</span>
<span class="c1">#xtick.color : k # color of the tick labels</span>
<span class="c1">#xtick.labelsize : medium # fontsize of the tick labels</span>
<span class="c1">#xtick.direction : out # direction: in, out, or inout</span>
<span class="c1">#xtick.minor.visible : False # visibility of minor ticks on x-axis</span>
<span class="c1">#xtick.major.top : True # draw x axis top major ticks</span>
<span class="c1">#xtick.major.bottom : True # draw x axis bottom major ticks</span>
<span class="c1">#xtick.minor.top : True # draw x axis top minor ticks</span>
<span class="c1">#xtick.minor.bottom : True # draw x axis bottom minor ticks</span>
<span class="c1">#ytick.left : True # draw ticks on the left side</span>
<span class="c1">#ytick.right : False # draw ticks on the right side</span>
<span class="c1">#ytick.major.size : 3.5 # major tick size in points</span>
<span class="c1">#ytick.minor.size : 2 # minor tick size in points</span>
<span class="c1">#ytick.major.width : 0.8 # major tick width in points</span>
<span class="c1">#ytick.minor.width : 0.6 # minor tick width in points</span>
<span class="c1">#ytick.major.pad : 3.5 # distance to major tick label in points</span>
<span class="c1">#ytick.minor.pad : 3.4 # distance to the minor tick label in points</span>
<span class="c1">#ytick.color : k # color of the tick labels</span>
<span class="c1">#ytick.labelsize : medium # fontsize of the tick labels</span>
<span class="c1">#ytick.direction : out # direction: in, out, or inout</span>
<span class="c1">#ytick.minor.visible : False # visibility of minor ticks on y-axis</span>
<span class="c1">#ytick.major.left : True # draw y axis left major ticks</span>
<span class="c1">#ytick.major.right : True # draw y axis right major ticks</span>
<span class="c1">#ytick.minor.left : True # draw y axis left minor ticks</span>
<span class="c1">#ytick.minor.right : True # draw y axis right minor ticks</span>
<span class="c1">### GRIDS</span>
<span class="c1">#grid.color : b0b0b0 # grid color</span>
<span class="c1">#grid.linestyle : - # solid</span>
<span class="c1">#grid.linewidth : 0.8 # in points</span>
<span class="c1">#grid.alpha : 1.0 # transparency, between 0.0 and 1.0</span>
<span class="c1">### Legend</span>
<span class="c1">#legend.loc : best</span>
<span class="c1">#legend.frameon : True # if True, draw the legend on a background patch</span>
<span class="c1">#legend.framealpha : 0.8 # legend patch transparency</span>
<span class="c1">#legend.facecolor : inherit # inherit from axes.facecolor; or color spec</span>
<span class="c1">#legend.edgecolor : 0.8 # background patch boundary color</span>
<span class="c1">#legend.fancybox : True # if True, use a rounded box for the</span>
<span class="c1"># legend background, else a rectangle</span>
<span class="c1">#legend.shadow : False # if True, give background a shadow effect</span>
<span class="c1">#legend.numpoints : 1 # the number of marker points in the legend line</span>
<span class="c1">#legend.scatterpoints : 1 # number of scatter points</span>
<span class="c1">#legend.markerscale : 1.0 # the relative size of legend markers vs. original</span>
<span class="c1">#legend.fontsize : medium</span>
<span class="c1"># Dimensions as fraction of fontsize:</span>
<span class="c1">#legend.borderpad : 0.4 # border whitespace</span>
<span class="c1">#legend.labelspacing : 0.5 # the vertical space between the legend entries</span>
<span class="c1">#legend.handlelength : 2.0 # the length of the legend lines</span>
<span class="c1">#legend.handleheight : 0.7 # the height of the legend handle</span>
<span class="c1">#legend.handletextpad : 0.8 # the space between the legend line and legend text</span>
<span class="c1">#legend.borderaxespad : 0.5 # the border between the axes and legend edge</span>
<span class="c1">#legend.columnspacing : 2.0 # column separation</span>
<span class="c1">### FIGURE</span>
<span class="c1"># See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure</span>
<span class="c1">#figure.titlesize : large # size of the figure title (Figure.suptitle())</span>
<span class="c1">#figure.titleweight : normal # weight of the figure title</span>
<span class="c1">#figure.figsize : 6.4, 4.8 # figure size in inches</span>
<span class="c1">#figure.dpi : 100 # figure dots per inch</span>
<span class="c1">#figure.facecolor : white # figure facecolor; 0.75 is scalar gray</span>
<span class="c1">#figure.edgecolor : white # figure edgecolor</span>
<span class="c1">#figure.autolayout : False # When True, automatically adjust subplot</span>
<span class="c1"># parameters to make the plot fit the figure</span>
<span class="c1">#figure.max_open_warning : 20 # The maximum number of figures to open through</span>
<span class="c1"># the pyplot interface before emitting a warning.</span>
<span class="c1"># If less than one this feature is disabled.</span>
<span class="c1"># The figure subplot parameters. All dimensions are a fraction of the</span>
<span class="c1">#figure.subplot.left : 0.125 # the left side of the subplots of the figure</span>
<span class="c1">#figure.subplot.right : 0.9 # the right side of the subplots of the figure</span>
<span class="c1">#figure.subplot.bottom : 0.11 # the bottom of the subplots of the figure</span>
<span class="c1">#figure.subplot.top : 0.88 # the top of the subplots of the figure</span>
<span class="c1">#figure.subplot.wspace : 0.2 # the amount of width reserved for blank space between subplots,</span>
<span class="c1"># expressed as a fraction of the average axis width</span>
<span class="c1">#figure.subplot.hspace : 0.2 # the amount of height reserved for white space between subplots,</span>
<span class="c1"># expressed as a fraction of the average axis height</span>
<span class="c1">### IMAGES</span>
<span class="c1">#image.aspect : equal # equal | auto | a number</span>
<span class="c1">#image.interpolation : nearest # see help(imshow) for options</span>
<span class="c1">#image.cmap : viridis # A colormap name, gray etc...</span>
<span class="c1">#image.lut : 256 # the size of the colormap lookup table</span>
<span class="c1">#image.origin : upper # lower | upper</span>
<span class="c1">#image.resample : True</span>
<span class="c1">#image.composite_image : True # When True, all the images on a set of axes are</span>
<span class="c1"># combined into a single composite image before</span>
<span class="c1"># saving a figure as a vector graphics file,</span>
<span class="c1"># such as a PDF.</span>
<span class="c1">### CONTOUR PLOTS</span>
<span class="c1">#contour.negative_linestyle : dashed # dashed | solid</span>
<span class="c1">#contour.corner_mask : True # True | False | legacy</span>
<span class="c1">### ERRORBAR PLOTS</span>
<span class="c1">#errorbar.capsize : 0 # length of end cap on error bars in pixels</span>
<span class="c1">### HISTOGRAM PLOTS</span>
<span class="c1">#hist.bins : 10 # The default number of histogram bins.</span>
<span class="c1"># If Numpy 1.11 or later is</span>
<span class="c1"># installed, may also be `auto`</span>
<span class="c1">### SCATTER PLOTS</span>
<span class="c1">#scatter.marker : o # The default marker type for scatter plots.</span>
<span class="c1">### Agg rendering</span>
<span class="c1">### Warning: experimental, 2008/10/10</span>
<span class="c1">#agg.path.chunksize : 0 # 0 to disable; values in the range</span>
<span class="c1"># 10000 to 100000 can improve speed slightly</span>
<span class="c1"># and prevent an Agg rendering failure</span>
<span class="c1"># when plotting very large data sets,</span>
<span class="c1"># especially if they are very gappy.</span>
<span class="c1"># It may cause minor artifacts, though.</span>
<span class="c1"># A value of 20000 is probably a good</span>
<span class="c1"># starting point.</span>
<span class="c1">### SAVING FIGURES</span>
<span class="c1">#path.simplify : True # When True, simplify paths by removing "invisible"</span>
<span class="c1"># points to reduce file size and increase rendering</span>
<span class="c1"># speed</span>
<span class="c1">#path.simplify_threshold : 0.1 # The threshold of similarity below which</span>
<span class="c1"># vertices will be removed in the simplification</span>
<span class="c1"># process</span>
<span class="c1">#path.snap : True # When True, rectilinear axis-aligned paths will be snapped to</span>
<span class="c1"># the nearest pixel when certain criteria are met. When False,</span>
<span class="c1"># paths will never be snapped.</span>
<span class="c1">#path.sketch : None # May be none, or a 3-tuple of the form (scale, length,</span>
<span class="c1"># randomness).</span>
<span class="c1"># *scale* is the amplitude of the wiggle</span>
<span class="c1"># perpendicular to the line (in pixels). *length*</span>
<span class="c1"># is the length of the wiggle along the line (in</span>
<span class="c1"># pixels). *randomness* is the factor by which</span>
<span class="c1"># the length is randomly scaled.</span>
<span class="c1"># the default savefig params can be different from the display params</span>
<span class="c1"># e.g., you may want a higher resolution, or to make the figure</span>
<span class="c1"># background white</span>
<span class="c1">#savefig.dpi : figure # figure dots per inch or 'figure'</span>
<span class="c1">#savefig.facecolor : white # figure facecolor when saving</span>
<span class="c1">#savefig.edgecolor : white # figure edgecolor when saving</span>
<span class="c1">#savefig.format : png # png, ps, pdf, svg</span>
<span class="c1">#savefig.bbox : standard # 'tight' or 'standard'.</span>
<span class="c1"># 'tight' is incompatible with pipe-based animation</span>
<span class="c1"># backends but will workd with temporary file based ones:</span>
<span class="c1"># e.g. setting animation.writer to ffmpeg will not work,</span>
<span class="c1"># use ffmpeg_file instead</span>
<span class="c1">#savefig.pad_inches : 0.1 # Padding to be used when bbox is set to 'tight'</span>
<span class="c1">#savefig.jpeg_quality: 95 # when a jpeg is saved, the default quality parameter.</span>
<span class="c1">#savefig.directory : ~ # default directory in savefig dialog box,</span>
<span class="c1"># leave empty to always use current working directory</span>
<span class="c1">#savefig.transparent : False # setting that controls whether figures are saved with a</span>
<span class="c1"># transparent background by default</span>
<span class="c1"># tk backend params</span>
<span class="c1">#tk.window_focus : False # Maintain shell focus for TkAgg</span>
<span class="c1"># ps backend params</span>
<span class="c1">#ps.papersize : letter # auto, letter, legal, ledger, A0-A10, B0-B10</span>
<span class="c1">#ps.useafm : False # use of afm fonts, results in small files</span>
<span class="c1">#ps.usedistiller : False # can be: None, ghostscript or xpdf</span>
<span class="c1"># Experimental: may produce smaller files.</span>
<span class="c1"># xpdf intended for production of publication quality files,</span>
<span class="c1"># but requires ghostscript, xpdf and ps2eps</span>
<span class="c1">#ps.distiller.res : 6000 # dpi</span>
<span class="c1">#ps.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)</span>
<span class="c1"># pdf backend params</span>
<span class="c1">#pdf.compression : 6 # integer from 0 to 9</span>
<span class="c1"># 0 disables compression (good for debugging)</span>
<span class="c1">#pdf.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)</span>
<span class="c1"># svg backend params</span>
<span class="c1">#svg.image_inline : True # write raster image data directly into the svg file</span>
<span class="c1">#svg.fonttype : 'path' # How to handle SVG fonts:</span>
<span class="c1"># 'none': Assume fonts are installed on the machine where the SVG will be viewed.</span>
<span class="c1"># 'path': Embed characters as paths -- supported by most SVG renderers</span>
<span class="c1"># 'svgfont': Embed characters as SVG fonts -- supported only by Chrome,</span>
<span class="c1"># Opera and Safari</span>
<span class="c1">#svg.hashsalt : None # if not None, use this string as hash salt</span>
<span class="c1"># instead of uuid4</span>
<span class="c1"># docstring params</span>
<span class="c1">#docstring.hardcopy = False # set this when you want to generate hardcopy docstring</span>
<span class="c1"># Set the verbose flags. This controls how much information</span>
<span class="c1"># matplotlib gives you at runtime and where it goes. The verbosity</span>
<span class="c1"># levels are: silent, helpful, debug, debug-annoying. Any level is</span>
<span class="c1"># inclusive of all the levels below it. If your setting is "debug",</span>
<span class="c1"># you'll get all the debug and helpful messages. When submitting</span>
<span class="c1"># problems to the mailing-list, please set verbose to "helpful" or "debug"</span>
<span class="c1"># and paste the output into your report.</span>
<span class="c1">#</span>
<span class="c1"># The "fileo" gives the destination for any calls to verbose.report.</span>
<span class="c1"># These objects can a filename, or a filehandle like sys.stdout.</span>
<span class="c1">#</span>
<span class="c1"># You can override the rc default verbosity from the command line by</span>
<span class="c1"># giving the flags --verbose-LEVEL where LEVEL is one of the legal</span>
<span class="c1"># levels, e.g., --verbose-helpful.</span>
<span class="c1">#</span>
<span class="c1"># You can access the verbose instance in your code</span>
<span class="c1"># from matplotlib import verbose.</span>
<span class="c1">#verbose.level : silent # one of silent, helpful, debug, debug-annoying</span>
<span class="c1">#verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr</span>
<span class="c1"># Event keys to interact with figures/plots via keyboard.</span>
<span class="c1"># Customize these settings according to your needs.</span>
<span class="c1"># Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '')</span>
<span class="c1">#keymap.fullscreen : f, ctrl+f # toggling</span>
<span class="c1">#keymap.home : h, r, home # home or reset mnemonic</span>
<span class="c1">#keymap.back : left, c, backspace # forward / backward keys to enable</span>
<span class="c1">#keymap.forward : right, v # left handed quick navigation</span>
<span class="c1">#keymap.pan : p # pan mnemonic</span>
<span class="c1">#keymap.zoom : o # zoom mnemonic</span>
<span class="c1">#keymap.save : s # saving current figure</span>
<span class="c1">#keymap.quit : ctrl+w, cmd+w # close the current figure</span>
<span class="c1">#keymap.grid : g # switching on/off a grid in current axes</span>
<span class="c1">#keymap.yscale : l # toggle scaling of y-axes ('log'/'linear')</span>
<span class="c1">#keymap.xscale : L, k # toggle scaling of x-axes ('log'/'linear')</span>
<span class="c1">#keymap.all_axes : a # enable all axes</span>
<span class="c1"># Control location of examples data files</span>
<span class="c1">#examples.directory : '' # directory to look in for custom installation</span>
<span class="c1">###ANIMATION settings</span>
<span class="c1">#animation.html : 'none' # How to display the animation as HTML in</span>
<span class="c1"># the IPython notebook. 'html5' uses</span>
<span class="c1"># HTML5 video tag.</span>
<span class="c1">#animation.writer : ffmpeg # MovieWriter 'backend' to use</span>
<span class="c1">#animation.codec : h264 # Codec to use for writing movie</span>
<span class="c1">#animation.bitrate: -1 # Controls size/quality tradeoff for movie.</span>
<span class="c1"># -1 implies let utility auto-determine</span>
<span class="c1">#animation.frame_format: 'png' # Controls frame format used by temp files</span>
<span class="c1">#animation.ffmpeg_path: 'ffmpeg' # Path to ffmpeg binary. Without full path</span>
<span class="c1"># $PATH is searched</span>
<span class="c1">#animation.ffmpeg_args: '' # Additional arguments to pass to ffmpeg</span>
<span class="c1">#animation.avconv_path: 'avconv' # Path to avconv binary. Without full path</span>
<span class="c1"># $PATH is searched</span>
<span class="c1">#animation.avconv_args: '' # Additional arguments to pass to avconv</span>
<span class="c1">#animation.mencoder_path: 'mencoder'</span>
<span class="c1"># Path to mencoder binary. Without full path</span>
<span class="c1"># $PATH is searched</span>
<span class="c1">#animation.mencoder_args: '' # Additional arguments to pass to mencoder</span>
<span class="c1">#animation.convert_path: 'convert' # Path to ImageMagick's convert binary.</span>
<span class="c1"># On Windows use the full path since convert</span>
<span class="c1"># is also the name of a system tool.</span>
</pre></div>
</div>
</div>
</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 - 2016 The Matplotlib development team.
Last updated on May 10, 2017.
Created using <a
href="http://sphinx-doc.org/">Sphinx</a> 1.5.5.
</div>
<script>
(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-55954603-1', 'auto');
ga('send', 'pageview');
</script>
</body>
<footer>
<!--Flipcause Integration v3.0// Flipcause Integration Instructions:
Install the following code block once in the website Header (after <head> tag) -->
<style>
.fc-black_overlay{
display:none; position: fixed; z-index:1000001; top: 0%;left: 0%;width: 100%;height: 100%;
background-color: black; filter: alpha(opacity=50); cursor:pointer; opacity:0.5;
}
.fc-white_content {
opacity:1; display:none; margin-top: -320px; margin-left: -485px; width:970px; height:640px;
position:fixed; top:50%; left:50%; border: none;z-index:1000002;overflow: auto;
}
.fc-main-box{
opacity:1; display:none; margin:15px auto 0 auto; width:930px; position:relative; z-index:1000003;
}
.fc-widget_close{
opacity:1; content:url(http://i1338.photobucket.com/albums/o691/WeCause/X_zpse4a7e538.png);
position:absolute; z-index=1000004; right:-16px; top:-16px; display:block; cursor:pointer;
}
.floating_button{
display: block; margin-top: 0px; margin-left: 0px; width:auto ; height: auto;
position:fixed; z-index:999999; overflow: auto;
}
@keyframes backfadesin {
from { opacity:0; }
to {opacity:.5;}
}
@-moz-keyframes backfadesin {
from { opacity:0; }
to {opacity:.5;}
}