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205 lines
8.1 KiB
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Executable file
.. _installing:
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**********
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Installing
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**********
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There are lots of different ways to install matplotlib, and the best
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way depends on what operating system you are using, what you already
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have installed, and how you want to use it. To avoid wading through
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all the details (and potential complications) on this page, the
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easiest thing for you to do is use one of the pre-packaged python
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distributions that already provide matplotlib built in. The Enthought
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Python Distribution `(EPD)
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<http://www.enthought.com/products/epd.php>`_ for Windows, OS X or
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Redhat is an excellent choice that "just works" out of the box.
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Another excellent alternative for Windows users is `Python (x, y)
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<http://www.pythonxy.com/foreword.php>`_ which tends to be updated a
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bit more frequently. Both of these packages include matplotlib and
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pylab, and *lots* of other useful tools. matplotlib is also packaged
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for pretty much every major linux distribution, so if you are on linux
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your package manager will probably provide matplotlib prebuilt.
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One single click installer and you are done.
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OK, so you want to do it the hard way?
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======================================
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For some people, the prepackaged pythons discussed above are not an
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option. That's OK, it's usually pretty easy to get a custom install
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working. You will first need to find out if you have python installed
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on your machine, and if not, install it. The official python builds
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are available for download `here <http://www.python.org/download>`_,
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but OS X users please read :ref:`which-python-for-osx`.
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Once you have python up and running, you will need to install `numpy
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<http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103>`_.
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numpy provides high performance array data structures and mathematical
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functions, and is a requirement for matplotlib. You can test your
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progress::
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>>> import numpy
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>>> print numpy.__version__
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matplotlib requires numpy version 1.1 or later. Although it is not a
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requirement to use matplotlib, we strongly encourage you to install
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`ipython <http://ipython.scipy.org/dist>`_, which is an interactive
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shell for python that is matplotlib aware. Once you have ipython,
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numpy and matplotlib installed, in ipython's "pylab" mode you have a
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matlab-like environment that automatically handles most of the
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configuration details for you, so you can get up and running quickly::
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johnh@flag:~> ipython -pylab
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Python 2.4.5 (#4, Apr 12 2008, 09:09:16)
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IPython 0.9.0 -- An enhanced Interactive Python.
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Welcome to pylab, a matplotlib-based Python environment.
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For more information, type 'help(pylab)'.
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In [1]: x = randn(10000)
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In [2]: hist(x, 100)
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And a *voila*, a figure pops up. But we are putting the cart ahead of
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the horse -- first we need to get matplotlib installed. We provide
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prebuilt binaries for OS X and Windows on the matplotlib `download
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<http://sourceforge.net/projects/matplotlib/files/>`_ page. Click on
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the latest release of the "matplotlib" package, choose your python
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version (2.4 or 2.5) and your platform (macosx or win32) and you
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should be good to go. If you have any problems, please check the
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:ref:`installing-faq`, google around a little bit, and post a question
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the `mailing list
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<http://sourceforge.net/project/showfiles.php?group_id=80706>`_.
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Instructions for installing our OSX binaries are found in the FAQ
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ref:`install_osx_binaries`.
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Note that when testing matplotlib installations from the interactive
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python console, there are some issues relating to user interface
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toolkits and interactive settings that are discussed in
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:ref:`mpl-shell`.
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.. _install_from_source:
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Installing from source
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======================
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If you are interested perhaps in contributing to matplotlib
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development, or just like to build everything yourself, it is not
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difficult to build matplotlib from source. Grab the latest *tar.gz*
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release file from `sourceforge
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<http://sourceforge.net/project/showfiles.php?group_id=80706>`_, or if
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you want to develop matplotlib or just need the latest bugfixed
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version, grab the latest svn version :ref:`install-svn`.
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Once you have satisfied the requirements detailed below (mainly
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python, numpy, libpng and freetype), you build matplotlib in the usual
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way::
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cd matplotlib
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python setup.py build
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python setup.py install
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We provide a `setup.cfg
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<http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/setup.cfg.template?view=markup>`_
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file that lives along :file:`setup.py` which you can use to customize
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the build process, for example, which default backend to use, whether
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some of the optional libraries that matplotlib ships with are
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installed, and so on. This file will be particularly useful to those
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packaging matplotlib.
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.. _install_requirements:
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Build requirements
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==================
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These are external packages which you will need to install before
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installing matplotlib. Windows users only need the first two (python
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and numpy) since the others are built into the matplotlib windows
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installers available for download at the sourceforge site. If you are
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building on OSX, see :ref:`build_osx`
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:term:`python` 2.4 (or later but not python3)
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matplotlib requires python 2.4 or later (`download <http://www.python.org/download/>`__)
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:term:`numpy` 1.1 (or later)
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array support for python (`download
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<http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103>`__)
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libpng 1.1 (or later)
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library for loading and saving :term:`PNG` files (`download
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<http://www.libpng.org/pub/png/libpng.html>`__). libpng requires
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zlib. If you are a windows user, you can ignore this since we
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build support into the matplotlib single click installer
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:term:`freetype` 1.4 (or later)
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library for reading true type font files. If you are a windows
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user, you can ignore this since we build support into the
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matplotlib single click installer.
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**Optional**
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These are optional packages which you may want to install to use
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matplotlib with a user interface toolkit. See
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:ref:`what-is-a-backend` for more details on the optional matplotlib
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backends and the capabilities they provide
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:term:`tk` 8.3 or later
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The TCL/Tk widgets library used by the TkAgg backend
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:term:`pyqt` 3.1 or later
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The Qt3 widgets library python wrappers for the QtAgg backend
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:term:`pyqt` 4.0 or later
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The Qt4 widgets library python wrappers for the Qt4Agg backend
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:term:`pygtk` 2.2 or later
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The python wrappers for the GTK widgets library for use with the GTK or GTKAgg backend
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:term:`wxpython` 2.6 or later
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The python wrappers for the wx widgets library for use with the WXAgg backend
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:term:`wxpython` 2.8 or later
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The python wrappers for the wx widgets library for use with the WX backend
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:term:`pyfltk` 1.0 or later
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The python wrappers of the FLTK widgets library for use with FLTKAgg
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**Required libraries that ship with matplotlib**
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:term:`agg` 2.4
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The antigrain C++ rendering engine. matplotlib links against the
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agg template source statically, so it will not affect anything on
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your system outside of matplotlib.
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pytz 2007g or later
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timezone handling for python datetime objects. By default,
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matplotlib will install pytz if it isn't already installed on your
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system. To override the default, use setup.cfg to force or
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prevent installation of pytz.
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dateutil 1.1 or later
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extensions to python datetime handling. By
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default, matplotlib will install dateutil if it isn't already
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installed on your system. To override the default, use setup.cfg
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to force or prevent installation of dateutil.
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.. _build_osx:
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Building on OSX
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==================
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The build situation on OSX is complicated by the various places one
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can get the png and freetype requirements from (darwinports, fink,
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/usr/X11R6) and the different architectures (x86, ppc, universal) and
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the different OSX version (10.4 and 10.5). We recommend that you build
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the way we do for the OSX release: by grabbing the tarbar or svn
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repository, cd-ing into the release/osx dir, and following the
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instruction in the README. This directory has a Makefile which will
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automatically grab the zlib, png and freetype dependencies from the
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web, build them with the right flags to make universal libraries, and
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then build the matplotlib source and binary installers.
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