forked from feeds/matplotlib
/
INSTALL
339 lines (254 loc) · 12.6 KB
/
INSTALL
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
.. The source of this document is INSTALL. During the doc build process,
.. this file is copied over to doc/users/installing.rst.
.. Therefore, you must edit INSTALL, *not* doc/users/installing.rst!
.. _pip: https://pypi.python.org/pypi/pip/
**********
Installing
**********
There are many different ways to install matplotlib, and the best way
depends on what operating system you are using, what you already have
installed, and how you want to use it. To avoid wading through all
the details (and potential complications) on this page, there are several
convenient options.
Installing pre-built packages
=============================
Most platforms : scientific Python distributions
------------------------------------------------
The first option is to use one of the pre-packaged python
distributions that already provide matplotlib built-in. The
Continuum.io Python distribution (`Anaconda
<https://www.continuum.io/downloads/>`_ or `miniconda
<http://conda.pydata.org/miniconda.html>`_) and the Enthought
distribution `(Canopy) <https://www.enthought.com/products/canopy/>`_
are both excellent choices that "just work" out of the box for
Windows, OSX and common Linux platforms. Both of these distributions
include matplotlib and *lots* of other useful tools.
Linux : using your package manager
----------------------------------
If you are on Linux, you might prefer to use your package manager. matplotlib
is packaged for almost every major Linux distribution.
* Debian / Ubuntu : ``sudo apt-get install python-matplotlib``
* Fedora / Redhat : ``sudo yum install python-matplotlib``
Mac OSX : using pip
-------------------
If you are on Mac OSX you can probably install matplotlib binaries using the
standard Python installation program pip_.
See :ref:`install_osx_binaries`.
.. _installing_windows:
Windows
-------
If you don't already have Python installed, we recommend using
one of the `scipy-stack compatible Python distributions
<http://www.scipy.org/install.html>`_ such as WinPython, Python(x,y),
Enthought Canopy, or Continuum Anaconda, which have matplotlib and many
of its dependencies, plus other useful packages, preinstalled.
For `standard Python <https://www.python.org/download/>`_ installations,
install matplotlib using pip_::
python -m pip install -U pip setuptools
python -m pip install matplotlib
In case Python 2.7 or 3.4 are not installed for all users,
the Microsoft Visual C++ 2008 (
`64 bit <http://www.microsoft.com/download/en/details.aspx?id=15336>`__
or
`32 bit <http://www.microsoft.com/download/en/details.aspx?id=29>`__
for Python 2.7) or Microsoft Visual C++ 2010 (
`64 bit <http://www.microsoft.com/en-us/download/details.aspx?id=14632>`__
or
`32 bit <http://www.microsoft.com/en-us/download/details.aspx?id=5555>`__
for Python 3.4) redistributable packages need to be installed.
Matplotlib depends on `Pillow <https://pypi.python.org/pypi/Pillow>`_
for reading and saving JPEG, BMP, and TIFF image files.
Matplotlib requires `MiKTeX <http://miktex.org/>`_ and
`GhostScript <http://www.ghostscript.com/download/>`_ for rendering text
with LaTeX.
`FFmpeg <https://www.ffmpeg.org/>`_, `avconv <https://libav.org/>`_,
`mencoder <http://www.mplayerhq.hu>`_, or
`ImageMagick <http://www.imagemagick.org/>`_ are required for the
animation module.
The following backends should work out of the box: agg, tkagg, ps,
pdf and svg.
For other backends you may need to install
`pycairo <https://pypi.python.org/pypi/pycairo>`_,
`PyQt4 <https://pypi.python.org/pypi/PyQt4>`_,
`PyQt5 <https://pypi.python.org/pypi/PyQt5>`_,
`PySide <https://pypi.python.org/pypi/PySide>`_,
`wxPython <https://pypi.python.org/pypi/wxPython>`_,
`PyGTK <https://pypi.python.org/pypi/PyGTK>`_,
`Tornado <https://pypi.python.org/pypi/tornado>`_,
or GhostScript.
TkAgg is probably the best backend for interactive use from the
standard Python shell or IPython. It is enabled as the default backend
for the official binaries. GTK3 is not supported on Windows.
The Windows wheels (:file:`*.whl`) on the `PyPI download page
<https://pypi.python.org/pypi/matplotlib/>`_ do not contain test data
or example code.
If you want to try the many demos that come in the matplotlib source
distribution, download the :file:`*.tar.gz` file and look in the
:file:`examples` subdirectory.
To run the test suite, copy the :file:`lib\\matplotlib\\tests` and
:file:`lib\\mpl_toolkits\\tests` directories from the source
distribution to :file:`sys.prefix\\Lib\\site-packages\\matplotlib` and
:file:`sys.prefix\\Lib\\site-packages\\mpl_toolkits` respectively, and
install `nose <https://pypi.python.org/pypi/nose>`_, `mock
<https://pypi.python.org/pypi/mock>`_, Pillow, MiKTeX, GhostScript,
ffmpeg, avconv, mencoder, ImageMagick, and `Inkscape
<https://inkscape.org/>`_.
.. _install_from_source:
Installing from source
======================
If you are interested in contributing to matplotlib development,
running the latest source code, or just like to build everything
yourself, it is not difficult to build matplotlib from source. Grab
the latest *tar.gz* release file from `the PyPI files page
<https://pypi.python.org/pypi/matplotlib/>`_, or if you want to
develop matplotlib or just need the latest bugfixed version, grab the
latest git version :ref:`install-from-git`.
The standard environment variables `CC`, `CXX`, `PKG_CONFIG` are respected.
This means you can set them if your toolchain is prefixed. This may be used for
cross compiling.
export CC=x86_64-pc-linux-gnu-gcc
export CXX=x86_64-pc-linux-gnu-g++
export PKG_CONFIG=x86_64-pc-linux-gnu-pkg-config
Once you have satisfied the requirements detailed below (mainly
python, numpy, libpng and freetype), you can build matplotlib::
cd matplotlib
python setup.py build
python setup.py install
We provide a `setup.cfg
<https://github.com/matplotlib/matplotlib/raw/master/setup.cfg.template>`_
file that goes with :file:`setup.py` which you can use to customize
the build process. For example, which default backend to use, whether
some of the optional libraries that matplotlib ships with are
installed, and so on. This file will be particularly useful to those
packaging matplotlib.
If you have installed prerequisites to nonstandard places and need to
inform matplotlib where they are, edit ``setupext.py`` and add the base
dirs to the ``basedir`` dictionary entry for your ``sys.platform``.
e.g., if the header to some required library is in
``/some/path/include/someheader.h``, put ``/some/path`` in the
``basedir`` list for your platform.
.. _install_requirements:
Build requirements
------------------
These are external packages which you will need to install before
installing matplotlib. If you are building on OSX, see
:ref:`build_osx`. If you are building on Windows, see
:ref:`build_windows`. If you are installing dependencies with a
package manager on Linux, you may need to install the development
packages (look for a "-dev" postfix) in addition to the libraries
themselves.
Required Dependencies
^^^^^^^^^^^^^^^^^^^^^
:term:`python` 2.7, 3.4, 3.5 or 3.6
`Download python <http://www.python.org/download/>`_.
:term:`numpy` |minimum_numpy_version| (or later)
array support for python (`download numpy <http://numpy.org>`_)
`setuptools <http://pythonhosted.org/setuptools/>`__
Setuptools provides extensions for python package installation.
:term:`dateutil` 1.1 or later
Provides extensions to python datetime handling. If using pip,
easy_install or installing from source, the installer will attempt
to download and install `python_dateutil` from PyPI.
`pyparsing <https://pyparsing.wikispaces.com/>`__
Required for matplotlib's mathtext math rendering support. If
using pip, easy_install or installing from source, the installer
will attempt to download and install `pyparsing` from PyPI.
`libpng 1.2 (or later) <http://www.libpng.org>`__
library for loading and saving :term:`PNG` files (`download
<http://www.libpng.org/pub/png/libpng.html>`__). libpng requires
zlib.
`pytz <http://pytz.sourceforge.net/>`__
Used to manipulate time-zone aware datetimes. http://pypi.python.org/pypi/pytz
:term:`FreeType` 2.3 or later
Library for reading true type font files. If using pip, easy_install or
installing from source, the installer will attempt to locate FreeType in
expected locations. If it cannot, try installing `pkg-config
<http://matplotlib.org/users/installing.html#optional-dependencies>`__,
a tool used to find required non-python libraries.
`cycler <http://matplotlib.org/cycler/>`__ 0.10.0 or later
Composable cycle class used for constructing style-cycles
`six <https://pypi.python.org/pypi/six>`_
Required for compatibility between python 2 and python 3
Dependencies for python 2
^^^^^^^^^^^^^^^^^^^^^^^^^
`functools32 <https://pypi.python.org/pypi/functools32>`_
Required for compatibility if running on Python 2.7.
`subprocess32 <https://pypi.python.org/pypi/subprocess32/>`_
Optional, unix only. Backport of the subprocess standard library from 3.2+
for Python 2.7. It provides better error messages and timeout support.
Optional GUI framework
^^^^^^^^^^^^^^^^^^^^^^
These are optional packages which you may want to install to use
matplotlib with a user interface toolkit. See
:ref:`what-is-a-backend` for more details on the optional matplotlib
backends and the capabilities they provide.
:term:`tk` 8.3 or later, not 8.6.0 or 8.6.1
The TCL/Tk widgets library used by the TkAgg backend.
Versions 8.6.0 and 8.6.1 are known to have issues that may result
in segfaults when closing multiple windows in the wrong order.
:term:`pyqt` 4.4 or later
The Qt4 widgets library python wrappers for the Qt4Agg backend
:term:`pygtk` 2.4 or later
The python wrappers for the GTK widgets library for use with the
GTK or GTKAgg backend
:term:`wxpython` 2.8 or later
The python wrappers for the wx widgets library for use with the
WX or WXAgg backend
Optional external programs
^^^^^^^^^^^^^^^^^^^^^^^^^^
`ffmpeg <https://www.ffmpeg.org/>`__/`avconv <https://libav.org/avconv.html>`__ or `mencoder <http://www.mplayerhq.hu/design7/news.html>`__
Required for the animation module to be save out put to movie
formats.
`ImageMagick <http://www.imagemagick.org/>`__
Required for the animation module to be able to save to animated gif.
Optional dependencies
^^^^^^^^^^^^^^^^^^^^^
`Pillow <http://python-pillow.github.io/>`__
If Pillow is installed, matplotlib can read and write a larger
selection of image file formats.
`pkg-config <http://www.freedesktop.org/wiki/Software/pkg-config/>`__
A tool used to find required non-python libraries. This is not strictly
required, but can make installation go more smoothly if the libraries and
headers are not in the expected locations.
Required libraries that ship with matplotlib
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
:term:`agg` 2.4
The antigrain C++ rendering engine. matplotlib links against the
agg template source statically, so it will not affect anything on
your system outside of matplotlib.
`qhull` 2012.1
A library for computing Delaunay triangulations.
`ttconv`
truetype font utility
.. _build_linux:
Building on Linux
-----------------
It is easiest to use your system package manager to install the dependencies.
If you are on Debian/Ubuntu, you can get all the dependencies
required to build matplotlib with::
sudo apt-get build-dep python-matplotlib
If you are on Fedora/RedHat, you can get all the dependencies required
to build matplotlib by first installing ``yum-builddep`` and then
running::
su -c "yum-builddep python-matplotlib"
This does not build matplotlib, but it does get and install the
build dependencies, which will make building from source easier.
.. _build_osx:
Building on OSX
---------------
The build situation on OSX is complicated by the various places one
can get the libpng and freetype requirements (darwinports, fink,
/usr/X11R6) and the different architectures (e.g., x86, ppc, universal) and
the different OSX version (e.g., 10.4 and 10.5). We recommend that you build
the way we do for the OSX release: get the source from the tarball or the
git repository and follow the instruction in :file:`README.osx`.
.. _build_windows:
Building on Windows
-------------------
The Python shipped from http://www.python.org is compiled with Visual Studio
2008 for versions before 3.3, Visual Studio 2010 for 3.3 and 3.4, and
Visual Studio 2015 for 3.5 and 3.6. Python extensions are recommended to be compiled
with the same compiler.
Since there is no canonical Windows package manager, the methods for building
freetype, zlib, and libpng from source code are documented as a build script
at `matplotlib-winbuild <https://github.com/jbmohler/matplotlib-winbuild>`_.