-
Notifications
You must be signed in to change notification settings - Fork 61
Expand file tree
/
Copy pathinstalling_faq.html
More file actions
562 lines (535 loc) · 32.4 KB
/
Copy pathinstalling_faq.html
File metadata and controls
562 lines (535 loc) · 32.4 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
<!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>Installation — Matplotlib 1.4.3 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: '1.4.3',
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 1.4.3 documentation"
href="../_static/opensearch.xml"/>
<link rel="top" title="Matplotlib 1.4.3 documentation" href="../index.html" />
<link rel="up" title="The Matplotlib FAQ" href="index.html" />
<link rel="next" title="Usage" href="usage_faq.html" />
<link rel="prev" title="The Matplotlib FAQ" href="index.html" />
<link href="https://fonts.googleapis.com/css?family=Raleway" rel="stylesheet" type="text/css">
<link rel="canonical" href="https://matplotlib.org/stable/faq/installing_faq.html" />
<script data-domain="matplotlib.org" defer="defer" src="https://views.scientific-python.org/js/script.js"></script>
</head>
<body>
<div id="unreleased-message"> You are reading an old version of the documentation (v1.4.3). For the latest version see <a href="https://matplotlib.org/stable/faq/installing_faq.html">https://matplotlib.org/stable/faq/installing_faq.html</a></div>
<div class="alert" style="background-color: #FEA46C; padding: 10px 0;
">
<h3>We're updating the default styles for Matplotlib 2.0</h3>
<p>Learn what to expect in the <a href="/style_changes.html" style="font-weight: bold;
color: #11557C;">new updates</a></p>
</div>
<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="usage_faq.html" title="Usage"
accesskey="N">next</a> |</li>
<li class="right" >
<a href="index.html" title="The Matplotlib FAQ"
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">The Matplotlib FAQ</a> »</li>
</ul>
</div>
<div class="sphinxsidebar">
<div class="sphinxsidebarwrapper">
<h3><a href="../contents.html">Table Of Contents</a></h3>
<ul>
<li><a class="reference internal" href="#">Installation</a><ul>
<li><a class="reference internal" href="#report-a-compilation-problem">Report a compilation problem</a></li>
<li><a class="reference internal" href="#matplotlib-compiled-fine-but-nothing-shows-up-when-i-use-it">matplotlib compiled fine, but nothing shows up when I use it</a></li>
<li><a class="reference internal" href="#how-to-completely-remove-matplotlib">How to completely remove matplotlib</a><ul>
<li><a class="reference internal" href="#easy-install">Easy Install</a></li>
<li><a class="reference internal" href="#windows-installer">Windows installer</a></li>
<li><a class="reference internal" href="#source-install">Source install</a></li>
</ul>
</li>
<li><a class="reference internal" href="#how-to-install">How to Install</a><ul>
<li><a class="reference internal" href="#source-install-from-git">Source install from git</a></li>
</ul>
</li>
<li><a class="reference internal" href="#linux-notes">Linux Notes</a></li>
<li><a class="reference internal" href="#os-x-notes">OS-X Notes</a><ul>
<li><a class="reference internal" href="#which-python-for-os-x">Which python for OS X?</a></li>
<li><a class="reference internal" href="#installing-osx-binary-wheels">Installing OSX binary wheels</a><ul>
<li><a class="reference internal" href="#python-org-python">Python.org Python</a></li>
<li><a class="reference internal" href="#id1">Macports</a></li>
<li><a class="reference internal" href="#id2">Homebrew</a></li>
<li><a class="reference internal" href="#pip-problems">Pip problems</a></li>
</ul>
</li>
<li><a class="reference internal" href="#installing-via-osx-mpkg-installer-package">Installing via OSX mpkg installer package</a></li>
<li><a class="reference internal" href="#checking-your-installation">Checking your installation</a></li>
</ul>
</li>
<li><a class="reference internal" href="#windows-notes">Windows Notes</a><ul>
<li><a class="reference internal" href="#standalone-binary-installers-for-windows">Standalone binary installers for Windows</a></li>
</ul>
</li>
</ul>
</li>
</ul>
<h4>Previous topic</h4>
<p class="topless"><a href="index.html"
title="previous chapter">The Matplotlib FAQ</a></p>
<h4>Next topic</h4>
<p class="topless"><a href="usage_faq.html"
title="next chapter">Usage</a></p>
<h3>This Page</h3>
<ul class="this-page-menu">
<li><a href="../_sources/faq/installing_faq.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="installation">
<span id="installing-faq"></span><h1>Installation<a class="headerlink" href="#installation" title="Permalink to this headline">¶</a></h1>
<div class="contents topic" id="contents">
<p class="topic-title first">Contents</p>
<ul class="simple">
<li><a class="reference internal" href="#installation" id="id3">Installation</a><ul>
<li><a class="reference internal" href="#report-a-compilation-problem" id="id4">Report a compilation problem</a></li>
<li><a class="reference internal" href="#matplotlib-compiled-fine-but-nothing-shows-up-when-i-use-it" id="id5">matplotlib compiled fine, but nothing shows up when I use it</a></li>
<li><a class="reference internal" href="#how-to-completely-remove-matplotlib" id="id6">How to completely remove matplotlib</a><ul>
<li><a class="reference internal" href="#easy-install" id="id7">Easy Install</a></li>
<li><a class="reference internal" href="#windows-installer" id="id8">Windows installer</a></li>
<li><a class="reference internal" href="#source-install" id="id9">Source install</a></li>
</ul>
</li>
<li><a class="reference internal" href="#how-to-install" id="id10">How to Install</a><ul>
<li><a class="reference internal" href="#source-install-from-git" id="id11">Source install from git</a></li>
</ul>
</li>
<li><a class="reference internal" href="#linux-notes" id="id12">Linux Notes</a></li>
<li><a class="reference internal" href="#os-x-notes" id="id13">OS-X Notes</a><ul>
<li><a class="reference internal" href="#which-python-for-os-x" id="id14">Which python for OS X?</a></li>
<li><a class="reference internal" href="#installing-osx-binary-wheels" id="id15">Installing OSX binary wheels</a><ul>
<li><a class="reference internal" href="#python-org-python" id="id16">Python.org Python</a></li>
<li><a class="reference internal" href="#id1" id="id17">Macports</a></li>
<li><a class="reference internal" href="#id2" id="id18">Homebrew</a></li>
<li><a class="reference internal" href="#pip-problems" id="id19">Pip problems</a></li>
</ul>
</li>
<li><a class="reference internal" href="#installing-via-osx-mpkg-installer-package" id="id20">Installing via OSX mpkg installer package</a></li>
<li><a class="reference internal" href="#checking-your-installation" id="id21">Checking your installation</a></li>
</ul>
</li>
<li><a class="reference internal" href="#windows-notes" id="id22">Windows Notes</a><ul>
<li><a class="reference internal" href="#standalone-binary-installers-for-windows" id="id23">Standalone binary installers for Windows</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
<div class="section" id="report-a-compilation-problem">
<h2>Report a compilation problem<a class="headerlink" href="#report-a-compilation-problem" title="Permalink to this headline">¶</a></h2>
<p>See <a class="reference internal" href="troubleshooting_faq.html#reporting-problems"><em>Getting help</em></a>.</p>
</div>
<div class="section" id="matplotlib-compiled-fine-but-nothing-shows-up-when-i-use-it">
<h2>matplotlib compiled fine, but nothing shows up when I use it<a class="headerlink" href="#matplotlib-compiled-fine-but-nothing-shows-up-when-i-use-it" title="Permalink to this headline">¶</a></h2>
<p>The first thing to try is a <a class="reference internal" href="#clean-install"><em>clean install</em></a> and see if
that helps. If not, the best way to test your install is by running a script,
rather than working interactively from a python shell or an integrated
development environment such as <strong class="program">IDLE</strong> which add additional
complexities. Open up a UNIX shell or a DOS command prompt and cd into a
directory containing a minimal example in a file. Something like
<tt class="file docutils literal"><span class="pre">simple_plot.py</span></tt> for example:</p>
<div class="highlight-python"><div class="highlight"><pre><span class="kn">from</span> <span class="nn">pylab</span> <span class="kn">import</span> <span class="o">*</span>
<span class="n">plot</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">])</span>
<span class="n">show</span><span class="p">()</span>
</pre></div>
</div>
<p>and run it with:</p>
<div class="highlight-python"><div class="highlight"><pre>python simple_plot.py --verbose-helpful
</pre></div>
</div>
<p>This will give you additional information about which backends matplotlib is
loading, version information, and more. At this point you might want to make
sure you understand matplotlib’s <a class="reference internal" href="../users/customizing.html#customizing-matplotlib"><em>configuration</em></a>
process, governed by the <tt class="file docutils literal"><span class="pre">matplotlibrc</span></tt> configuration file which contains
instructions within and the concept of the matplotlib backend.</p>
<p>If you are still having trouble, see <a class="reference internal" href="troubleshooting_faq.html#reporting-problems"><em>Getting help</em></a>.</p>
</div>
<div class="section" id="how-to-completely-remove-matplotlib">
<span id="clean-install"></span><h2>How to completely remove matplotlib<a class="headerlink" href="#how-to-completely-remove-matplotlib" title="Permalink to this headline">¶</a></h2>
<p>Occasionally, problems with matplotlib can be solved with a clean
installation of the package.</p>
<p>The process for removing an installation of matplotlib depends on how
matplotlib was originally installed on your system. Follow the steps
below that goes with your original installation method to cleanly
remove matplotlib from your system.</p>
<div class="section" id="easy-install">
<h3>Easy Install<a class="headerlink" href="#easy-install" title="Permalink to this headline">¶</a></h3>
<ol class="arabic">
<li><p class="first">Delete the caches from your <a class="reference internal" href="troubleshooting_faq.html#locating-matplotlib-config-dir"><em>.matplotlib configuration directory</em></a>.</p>
</li>
<li><p class="first">Run:</p>
<div class="highlight-python"><div class="highlight"><pre>easy_install -m matplotlib
</pre></div>
</div>
</li>
<li><p class="first">Delete any .egg files or directories from your <a class="reference internal" href="troubleshooting_faq.html#locating-matplotlib-install"><em>installation
directory</em></a>.</p>
</li>
</ol>
</div>
<div class="section" id="windows-installer">
<h3>Windows installer<a class="headerlink" href="#windows-installer" title="Permalink to this headline">¶</a></h3>
<ol class="arabic simple">
<li>Delete the caches from your <a class="reference internal" href="troubleshooting_faq.html#locating-matplotlib-config-dir"><em>.matplotlib configuration directory</em></a>.</li>
<li>Use <em class="menuselection">Start ‣ Control Panel</em> to start the <strong class="program">Add and
Remove Software</strong> utility.</li>
</ol>
</div>
<div class="section" id="source-install">
<h3>Source install<a class="headerlink" href="#source-install" title="Permalink to this headline">¶</a></h3>
<p>Unfortunately:</p>
<div class="highlight-python"><div class="highlight"><pre>python setup.py clean
</pre></div>
</div>
<p>does not properly clean the build directory, and does nothing to the
install directory. To cleanly rebuild:</p>
<ol class="arabic simple">
<li>Delete the caches from your <a class="reference internal" href="troubleshooting_faq.html#locating-matplotlib-config-dir"><em>.matplotlib configuration directory</em></a>.</li>
<li>Delete the <tt class="docutils literal"><span class="pre">build</span></tt> directory in the source tree.</li>
<li>Delete any matplotlib directories or eggs from your <a class="reference internal" href="troubleshooting_faq.html#locating-matplotlib-install"><em>installation
directory</em></a>.</li>
</ol>
</div>
</div>
<div class="section" id="how-to-install">
<h2>How to Install<a class="headerlink" href="#how-to-install" title="Permalink to this headline">¶</a></h2>
<div class="section" id="source-install-from-git">
<span id="install-from-git"></span><h3>Source install from git<a class="headerlink" href="#source-install-from-git" title="Permalink to this headline">¶</a></h3>
<p>Clone the main source using one of:</p>
<div class="highlight-python"><div class="highlight"><pre>git clone git@github.com:matplotlib/matplotlib.git
</pre></div>
</div>
<p>or:</p>
<div class="highlight-python"><div class="highlight"><pre>git clone git://github.com/matplotlib/matplotlib.git
</pre></div>
</div>
<p>and build and install as usual with:</p>
<div class="highlight-python"><div class="highlight"><pre>> cd matplotlib
> python setup.py install
</pre></div>
</div>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>If you are on debian/ubuntu, you can get all the dependencies
required to build matplotlib with:</p>
<div class="highlight-python"><div class="highlight"><pre>sudo apt-get build-dep python-matplotlib
</pre></div>
</div>
<p>If you are on Fedora/RedHat, you can get all the dependencies
required to build matplotlib by first installing <tt class="docutils literal"><span class="pre">yum-builddep</span></tt>
and then running:</p>
<div class="highlight-python"><div class="highlight"><pre>su -c "yum-builddep python-matplotlib"
</pre></div>
</div>
<p class="last">This does not build matplotlib, but it does get all of the
build dependencies, which will make building from source easier.</p>
</div>
<p>If you want to be able to follow the development branch as it changes
just replace the last step with (make sure you have <strong>setuptools</strong>
installed):</p>
<div class="highlight-python"><div class="highlight"><pre>> python setup.py develop
</pre></div>
</div>
<p>This creates links in the right places and installs the command
line script to the appropriate places.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p>Mac OSX users please see the <a class="reference internal" href="../users/installing.html#build-osx"><em>Building on OSX</em></a> guide.</p>
<p class="last">Windows users please see the <a class="reference internal" href="../users/installing.html#build-windows"><em>Building on Windows</em></a> guide.</p>
</div>
<p>Then, if you want to update your matplotlib at any time, just do:</p>
<div class="highlight-python"><div class="highlight"><pre>> git pull
</pre></div>
</div>
<p>When you run <tt class="xref py py-obj docutils literal"><span class="pre">git</span> <span class="pre">pull</span></tt>, if the output shows that only Python files have been
updated, you are all set. If C files have changed, you need to run the <tt class="xref py py-obj docutils literal"><span class="pre">python</span>
<span class="pre">setup.py</span> <span class="pre">develop</span></tt> command again to compile them.</p>
<p>There is more information on <a class="reference internal" href="../devel/gitwash/index.html#using-git"><em>using git</em></a> in
the developer docs.</p>
</div>
</div>
<div class="section" id="linux-notes">
<h2>Linux Notes<a class="headerlink" href="#linux-notes" title="Permalink to this headline">¶</a></h2>
<p>Because most Linux distributions use some sort of package manager,
we do not provide a pre-built binary for the Linux platform.
Instead, we recommend that you use the “Add Software” method for
your system to install matplotlib. This will guarantee that everything
that is needed for matplotlib will be installed as well.</p>
<p>If, for some reason, you can not use the package manager, Linux usually
comes with at least a basic build system. Follow the <a class="reference internal" href="#install-from-git"><em>instructions</em></a> found above for how to build and install matplotlib.</p>
</div>
<div class="section" id="os-x-notes">
<h2>OS-X Notes<a class="headerlink" href="#os-x-notes" title="Permalink to this headline">¶</a></h2>
<div class="section" id="which-python-for-os-x">
<span id="which-python-for-osx"></span><h3>Which python for OS X?<a class="headerlink" href="#which-python-for-os-x" title="Permalink to this headline">¶</a></h3>
<p>Apple ships OS X with its own Python, in <tt class="docutils literal"><span class="pre">/usr/bin/python</span></tt>, and its own copy
of matplotlib. Unfortunately, the way Apple currently installs its own copies
of numpy, scipy and matplotlib means that these packages are difficult to
upgrade (see <a class="reference external" href="https://github.com/MacPython/wiki/wiki/Which-Python#system-python-and-extra-python-packages">system python packages</a>). For that reason we strongly suggest
that you install a fresh version of Python and use that as the basis for
installing libraries such as numpy and matplotlib. One convenient way to
install matplotlib with other useful Python software is to use one of the
excellent Python scientific software collections that are now available:</p>
<ul class="simple">
<li><a class="reference external" href="https://store.continuum.io/cshop/anaconda/">Anaconda</a> from <a class="reference external" href="http://continuum.io">Continuum Analytics</a></li>
<li><a class="reference external" href="https://enthought.com/products/canopy/">Canopy</a> from <a class="reference external" href="http://enthought.com">Enthought</a></li>
</ul>
<p>These collections include Python itself and a wide range of libraries; if you
need a library that is not available from the collection, you can install it
yourself using standard methods such as <em>pip</em>. Continuum and Enthought offer
their own installation support for these collections; see the Ananconda and
Canopy web pages for more information.</p>
<p>Other options for a fresh Python install are the standard installer from
<a class="reference external" href="https://www.python.org/downloads/mac-osx/">python.org</a>, or installing
Python using a general OSX package management system such as <a class="reference external" href="http://brew.sh">homebrew</a> or <a class="reference external" href="http://www.macports.org">macports</a>. Power users on
OSX will likely want one of homebrew or macports on their system to install
open source software packages, but it is perfectly possible to use these
systems with another source for your Python binary, such as Anaconda, Canopy
or Python.org Python.</p>
</div>
<div class="section" id="installing-osx-binary-wheels">
<span id="install-osx-binaries"></span><h3>Installing OSX binary wheels<a class="headerlink" href="#installing-osx-binary-wheels" title="Permalink to this headline">¶</a></h3>
<p>If you are using recent Python from <a class="reference external" href="http://www.python.org">http://www.python.org</a>, Macports or
Homebrew, then you can use the standard pip installer to install matplotlib
binaries in the form of wheels.</p>
<div class="section" id="python-org-python">
<h4>Python.org Python<a class="headerlink" href="#python-org-python" title="Permalink to this headline">¶</a></h4>
<p>Install pip following the <a class="reference external" href="http://pip.readthedocs.org/en/latest/installing.html">standard pip install instructions</a>. For the impatient,
open a new Terminal.app window and:</p>
<div class="highlight-python"><div class="highlight"><pre>curl -O https://bootstrap.pypa.io/get-pip.py
</pre></div>
</div>
<p>Then (Python 2.7):</p>
<div class="highlight-python"><div class="highlight"><pre>python get-pip.py
</pre></div>
</div>
<p>or (Python 3):</p>
<div class="highlight-python"><div class="highlight"><pre>python3 get-pip.py
</pre></div>
</div>
<p>You can now install matplotlib and all its dependencies with:</p>
<div class="highlight-python"><div class="highlight"><pre>pip install matplotlib
</pre></div>
</div>
</div>
<div class="section" id="id1">
<h4>Macports<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h4>
<p>For Python 2.7:</p>
<div class="highlight-python"><div class="highlight"><pre>sudo port install py27-pip
sudo pip-2.7 install matplotlib
</pre></div>
</div>
<p>For Python 3.4:</p>
<div class="highlight-python"><div class="highlight"><pre>sudo port install py34-pip
sudo pip-3.4 install matplotlib
</pre></div>
</div>
</div>
<div class="section" id="id2">
<h4>Homebrew<a class="headerlink" href="#id2" title="Permalink to this headline">¶</a></h4>
<p>For Python 2.7:</p>
<div class="highlight-python"><div class="highlight"><pre>pip2 install matplotlib
</pre></div>
</div>
<p>For Python 3.4:</p>
<div class="highlight-python"><div class="highlight"><pre>pip3 install matplotlib
</pre></div>
</div>
<p>You might also want to install IPython; we recommend you install IPython with
the IPython notebook option, like this:</p>
<ul class="simple">
<li>Python.org Python: <tt class="docutils literal"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">ipython[notebook]</span></tt></li>
<li>Macports <tt class="docutils literal"><span class="pre">sudo</span> <span class="pre">pip-2.7</span> <span class="pre">install</span> <span class="pre">ipython[notebook]</span></tt> or <tt class="docutils literal"><span class="pre">sudo</span> <span class="pre">pip-3.4</span>
<span class="pre">install</span> <span class="pre">ipython[notebook]</span></tt></li>
<li>Homebrew <tt class="docutils literal"><span class="pre">pip2</span> <span class="pre">install</span> <span class="pre">ipython[notebook]</span></tt> or <tt class="docutils literal"><span class="pre">pip3</span> <span class="pre">install</span>
<span class="pre">ipython[notebook]</span></tt></li>
</ul>
</div>
<div class="section" id="pip-problems">
<h4>Pip problems<a class="headerlink" href="#pip-problems" title="Permalink to this headline">¶</a></h4>
<p>If you get errors with pip trying to run a compiler like <tt class="docutils literal"><span class="pre">gcc</span></tt> or <tt class="docutils literal"><span class="pre">clang</span></tt>,
then the first thing to try is to <a class="reference external" href="https://guide.macports.org/chunked/installing.html#installing.xcode">install xcode</a> and
retry the install. If that does not work, then check
<a class="reference internal" href="troubleshooting_faq.html#reporting-problems"><em>Getting help</em></a>.</p>
</div>
</div>
<div class="section" id="installing-via-osx-mpkg-installer-package">
<h3>Installing via OSX mpkg installer package<a class="headerlink" href="#installing-via-osx-mpkg-installer-package" title="Permalink to this headline">¶</a></h3>
<p>matplotlib also has a disk image (<tt class="docutils literal"><span class="pre">.dmg</span></tt>) installer, which contains a
typical Installer.app package to install matplotlib. You should use binary
wheels instead of the disk image installer if you can, because:</p>
<ul class="simple">
<li>wheels work with Python.org Python, homebrew and macports, the disk image
installer only works with Python.org Python.</li>
<li>The disk image installer doesn’t check for recent versions of packages that
matplotlib depends on, and unconditionally installs the versions of
dependencies contained in the disk image installer. This can overwrite
packages that you have already installed, which might cause problems for
other packages, if you have a pre-existing Python.org setup on your
computer.</li>
</ul>
<p>If you still want to use the disk image installer, read on.</p>
<div class="admonition note">
<p class="first admonition-title">Note</p>
<p class="last">Before installing via the disk image installer, be sure that all of the
packages were compiled for the same version of python. Often, the download
site for NumPy and matplotlib will display a supposed ‘current’ version of
the package, but you may need to choose a different package from the full
list that was built for your combination of python and OSX.</p>
</div>
<p>The disk image installer will have a <tt class="docutils literal"><span class="pre">.dmg</span></tt> extension, and will have a name
like <tt class="file docutils literal"><span class="pre">matplotlib-1.4.0-py2.7-macosx10.6.dmg</span></tt>.
The name of the installer depends on the versions of python and matplotlib it
was built for, and the version of OSX that the matching Python.org installer
was built for. For example, if the mathing Python.org Python installer was
built for OSX 10.6 or greater, the dmg file will end in <tt class="docutils literal"><span class="pre">-macosx10.6.dmg</span></tt>.
You need to download this disk image file, open the disk image file by double
clicking, and find the new matplotlib disk image icon on your desktop. Double
click on that icon to show the contents of the image. Then double-click on
the <tt class="docutils literal"><span class="pre">.mpkg</span></tt> icon, which will have a name like
<tt class="file docutils literal"><span class="pre">matplotlib-1.4.0-py2.7-macosx10.6.mpkg</span></tt>, it will run the Installer.app,
prompt you for a password if you need system-wide installation privileges, and
install to a directory like
<tt class="file docutils literal"><span class="pre">/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages</span></tt>
(exact path depends on your Python version).</p>
</div>
<div class="section" id="checking-your-installation">
<h3>Checking your installation<a class="headerlink" href="#checking-your-installation" title="Permalink to this headline">¶</a></h3>
<p>The new version of matplotlib should now be on your Python “path”. Check this
with one of these commands at the Terminal.app command line:</p>
<div class="highlight-python"><div class="highlight"><pre>python2.7 -c 'import matplotlib; print matplotlib.__version__, matplotlib.__file__'
</pre></div>
</div>
<p>(Python 2.7) or:</p>
<div class="highlight-python"><div class="highlight"><pre>python3.4 -c 'import matplotlib; print(matplotlib.__version__, matplotlib.__file__)'
</pre></div>
</div>
<p>(Python 3.4). You should see something like this:</p>
<div class="highlight-python"><div class="highlight"><pre>1.4.0 /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/__init__.pyc
</pre></div>
</div>
<p>where <tt class="docutils literal"><span class="pre">1.4.0</span></tt> is the matplotlib version you just installed, and the path
following depends on whether you are using Python.org Python, Homebrew or
Macports. If you see another version, or you get an error like this:</p>
<div class="highlight-python"><div class="highlight"><pre>Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named matplotlib
</pre></div>
</div>
<p>then check that the Python binary is the one you expected by doing one of
these commands in Terminal.app:</p>
<div class="highlight-python"><div class="highlight"><pre>which python2.7
</pre></div>
</div>
<p>or:</p>
<div class="highlight-python"><div class="highlight"><pre>which python3.4
</pre></div>
</div>
<p>If you get the result <tt class="docutils literal"><span class="pre">/usr/bin/python2.7</span></tt>, then you are getting the Python
installed with OSX, which is probably not what you want. Try closing and
restarting Terminal.app before running the check again. If that doesn’t fix
the problem, depending on which Python you wanted to use, consider
reinstalling Python.org Python, or check your homebrew or macports setup.
Remember that the disk image installer only works for Python.org Python, and
will not get picked up by other Pythons. If all these fail, please let us
know: see <a class="reference internal" href="troubleshooting_faq.html#reporting-problems"><em>Getting help</em></a>.</p>
</div>
</div>
<div class="section" id="windows-notes">
<h2>Windows Notes<a class="headerlink" href="#windows-notes" title="Permalink to this headline">¶</a></h2>
<p>We recommend you use one of the excellent python collections which include
Python itself and a wide range of libraries including matplotlib:</p>
<ul class="simple">
<li><a class="reference external" href="https://store.continuum.io/cshop/anaconda/">Anaconda</a> from <a class="reference external" href="http://continuum.io">Continuum Analytics</a></li>
<li><a class="reference external" href="https://enthought.com/products/canopy/">Canopy</a> from <a class="reference external" href="http://enthought.com">Enthought</a></li>
<li><a class="reference external" href="https://code.google.com/p/pythonxy">Python (x, y)</a></li>
</ul>
<p>Python (X, Y) is Windows-only, whereas Anaconda and Canopy are cross-platform.</p>
<div class="section" id="standalone-binary-installers-for-windows">
<span id="windows-installers"></span><h3>Standalone binary installers for Windows<a class="headerlink" href="#standalone-binary-installers-for-windows" title="Permalink to this headline">¶</a></h3>
<p>If you have already installed Python and numpy, you can use one of the
matplotlib binary installers for windows – you can get these from the
<a class="reference external" href="http://matplotlib.org/downloads.html">download</a> site. Chose the files with
an <tt class="docutils literal"><span class="pre">.exe</span></tt> extension that match your version of Python (e.g., <tt class="docutils literal"><span class="pre">py2.7</span></tt> if you
installed Python 2.7). If you haven’t already installed Python, you can get
the official version from the <a class="reference external" href="http://python.org/download/">Python web site</a>.</p>
</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 - 2014 The matplotlib development team.
Last updated on Jul 14, 2015.
Created using <a
href="http://sphinx-doc.org/">Sphinx</a> 1.2.3.
</div>
</body>
</html>