.. redirect-from:: /users/installing .. redirect-from:: /users/installing/index

Installation

.. include:: quick_install.inc.rst

.. _install-official:

Install an official release

Matplotlib releases are available as wheel packages for macOS, Windows and Linux on PyPI <https://pypi.org/project/matplotlib/>_. Install it using pip:

.. code-block:: sh

python -m pip install -U pip python -m pip install -U matplotlib

If this command results in Matplotlib being compiled from source and there's trouble with the compilation, you can add --prefer-binary to select the newest version of Matplotlib for which there is a precompiled wheel for your OS and Python.

.. note::

The following non-interactive backends work out of the box: Agg, ps, pdf, svg

The TkAgg interactive backend also typically works out of the box. It requires Tk bindings, which are usually provided via the Python standard library's tkinter module. On some OSes, you may need to install a separate package like python3-tk to add this component of the standard library.

Some tools like uv make use of Python builds from the python-build-standalone project, which only gained usable Tk bindings recently (August 2025). If you are having trouble with the TkAgg backend, ensure you have an up-to-date build, e.g. uv self update && uv python upgrade --reinstall.

For support of other GUI frameworks, LaTeX rendering, saving animations and a larger selection of file formats, you can install :ref:optional dependencies <optional_dependencies>.

.. _install-third-party:

Third-party distributions

Various third-parties provide Matplotlib for their environments.

Conda packages

Matplotlib is available both via the anaconda main channel

.. code-block:: sh

conda install matplotlib

as well as via the conda-forge community channel

.. code-block:: sh

conda install -c conda-forge matplotlib

Python distributions

Matplotlib is part of major Python distributions:

Anaconda <https://www.anaconda.com/>_
ActiveState ActivePython <https://www.activestate.com/products/python/downloads/>_
WinPython <https://winpython.github.io/>_

Linux package manager

If you are using the Python version that comes with your Linux distribution, you can install Matplotlib via your package manager, e.g.:

Debian / Ubuntu: sudo apt-get install python3-matplotlib
Fedora: sudo dnf install python3-matplotlib
Red Hat: sudo yum install python3-matplotlib
Arch: sudo pacman -S python-matplotlib

.. redirect-from:: /users/installing/installing_source

.. _install-nightly-build:

Install a nightly build

Matplotlib makes nightly development build wheels available on the scientific-python-nightly-wheels Anaconda Cloud organization <https://anaconda.org/scientific-python-nightly-wheels>_. These wheels can be installed with pip by specifying scientific-python-nightly-wheels as the package index to query:

.. code-block:: sh

python -m pip install
--upgrade
--pre
--index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple
--extra-index-url https://pypi.org/simple
matplotlib

.. _install-source:

Install from source

.. admonition:: Installing for Development :class: important

If you would like to contribute to Matplotlib or otherwise need to install the latest development code, please follow the instructions in :ref:installing_for_devs.

The following instructions are for installing from source for production use. This is generally not recommended; please use prebuilt packages when possible. Proceed with caution because these instructions may result in your build producing unexpected behavior and/or causing local testing to fail.

Before trying to install Matplotlib, please install the :ref:dependencies.

To build from a tarball, download the latest tar.gz release file from the PyPI files page <https://pypi.org/project/matplotlib/>_.

If you are building your own Matplotlib wheels (or sdists) on Windows, note that any DLLs that you copy into the source tree will be packaged too.

Configure build and behavior defaults

We provide a meson.options_ file containing options with 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. These options will be particularly useful to those packaging Matplotlib.

.. _meson.options: https://github.com/matplotlib/matplotlib/blob/main/meson.options

Aspects of some behaviorial defaults of the library can be configured via:

.. toctree:: :maxdepth: 2

environment_variables_faq.rst

Default plotting appearance and behavior can be configured via the :ref:rcParams file <customizing-with-matplotlibrc-files>

Dependencies

Mandatory dependencies should be installed automatically if you install Matplotlib using a package manager such as pip or conda; therefore this list is primarily for reference and troubleshooting.

.. toctree:: :maxdepth: 2

dependencies

.. _installing-faq:

Frequently asked questions

Report a compilation problem

See :ref:reporting-problems.

Matplotlib compiled fine, but nothing shows up when I use it

The first thing to try is a :ref:clean install <clean-install> 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 :program:IDLE which add additional complexities. Open up a UNIX shell or a DOS command prompt and run, for example::

python -c "from pylab import *; set_loglevel('debug'); plot(); show()"

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 :ref:configuration <customizing> process, governed by the :file:matplotlibrc configuration file which contains instructions within and the concept of the Matplotlib backend.

If you are still having trouble, see :ref:reporting-problems.

.. _clean-install:

How to completely remove Matplotlib

Occasionally, problems with Matplotlib can be solved with a clean installation of the package. In order to fully remove an installed Matplotlib:

Delete the caches from your :ref:Matplotlib configuration directory <locating-matplotlib-config-dir>.
Delete any Matplotlib directories or eggs from your :ref:installation directory <locating-matplotlib-install>.

macOS Notes

.. _which-python-for-macos:

Which python for macOS? ^^^^^^^^^^^^^^^^^^^^^^^

Apple ships macOS with its own Python, in /usr/bin/python, 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 system python packages). 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 the Anaconda Python scientific software collection, which includes 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 pip. See the Anaconda web page for installation support.

.. _system python packages: https://github.com/MacPython/wiki/wiki/Which-Python#system-python-and-extra-python-packages .. _Anaconda: https://www.anaconda.com/

Other options for a fresh Python install are the standard installer from python.org <https://www.python.org/downloads/macos/>, or installing Python using a general macOS package management system such as homebrew <https://brew.sh/> or macports <https://www.macports.org>_. Power users on macOS 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 or Python.org Python.

.. _install_macos_binaries:

Installing macOS binary wheels ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

If you are using Python from https://www.python.org, Homebrew, or Macports, then you can use the standard pip installer to install Matplotlib binaries in the form of wheels.

pip is installed by default with python.org and Homebrew Python, but needs to be manually installed on Macports with ::

sudo port install py38-pip

Once pip is installed, you can install Matplotlib and all its dependencies with from the Terminal.app command line::

python3 -m pip install matplotlib

You might also want to install IPython or the Jupyter notebook (python3 -m pip install ipython notebook).

Checking your installation ^^^^^^^^^^^^^^^^^^^^^^^^^^

The new version of Matplotlib should now be on your Python "path". Check this at the Terminal.app command line::

python3 -c 'import matplotlib; print(matplotlib.version, matplotlib.file)'

You should see something like ::

3.10.0 /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/matplotlib/init.py

where 3.10.0 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 ::

Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named matplotlib

then check that the Python binary is the one you expected by running ::

which python3

If you get a result like /usr/bin/python..., then you are getting the Python installed with macOS, 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 :ref:let us know <reporting-problems>.

.. include:: troubleshooting_faq.inc.rst