Python (version 3.7, 3.8, or 3.9)
Graphviz (version 2.42 or later)
These instructions assume you have Python and a C/C++ Compiler on your computer.
We recommend avoiding Anaconda and conda-forge to install Graphviz and PyGraphviz.
We recommend installing Python packages using pip and virtual environments.
We recommend installing Graphviz using your Linux system’s package manager. Below are examples for some popular distributions.
Ubuntu and Debian¶
$ sudo apt-get install graphviz graphviz-dev $ pip install pygraphviz
Fedora and Red Hat¶
You may need to replace
yum in the example below.
$ sudo dnf install graphviz graphviz-devel $ pip install pygraphviz
- The two main difficulties are
installing Graphviz and
informing pip where Graphviz is installed.
Providing path to Graphviz¶
If you’ve installed Graphviz and
pip is unable to find Graphviz, then you need to
pip with the path(s) where it can find Graphviz.
To do this, you first need to figure out where the binary files, includes files, and
library files for Graphviz are located on your file system.
Once you know where you’ve installed Graphviz, you will need to do something like the following. There is an additional example using Chocolatey on Windows further down the page.
port install graphviz-devel installs an old developer release of Graphviz.
Hopefully, the MacPorts packagers will update Graphviz to a recent release.
Once that happens, you may want to use
port install graphviz instead of
port install graphviz-devel below.
There is an open ticket to upgrade MacPorts to version 2.46.0 here:
$ port install graphviz-devel $ pip install --global-option=build_ext \ --global-option="-I/opt/local/include/" \ --global-option="-L/opt/local/lib/" \ pygraphviz
Historically, installing Graphviz and PyGraphviz on Windows has been challenging. Fortunately, the Graphviz developers are working to fix this and their recent releases have much improved the situation.
For this reason, PyGraphviz 1.7 only supports Graphviz 2.46.0 or higher on Windows. We recommend either manually installing the official binary release of Graphviz or using Chocolatey, which has been updated to Graphviz 2.46.0.
You may also need to install Visual C/C++, e.g. from here: https://visualstudio.microsoft.com/visual-cpp-build-tools/
Assuming you have Python and Visual C/C++ installed, we believe the following should work on Windows 10 (64 bit) using PowerShell.
Download and install 2.46.0 for Windows 10 (64-bit): stable_windows_10_cmake_Release_x64_graphviz-install-2.46.0-win64.exe.
Install PyGraphviz via
PS C:\> python -m pip install --global-option=build_ext ` --global-option="-IC:\Program Files\Graphviz\include" ` --global-option="-LC:\Program Files\Graphviz\lib" ` pygraphviz
PS C:\> choco install graphviz PS C:\> python -m pip install --global-option=build_ext ` --global-option="-IC:\Program Files\Graphviz\include" ` --global-option="-LC:\Program Files\Graphviz\lib" ` pygraphviz
I followed the installation instructions but when I do:>>> import pygraphviz
I get an error like:
ImportError: libagraph.so.1: cannot open shared object file: No such file or directory
What is wrong?
Some Unix systems don’t include the Graphviz library in the default search path for the run-time linker. The path is often something like
/sw/lib/graphvizetc. and it needs to be added to your search path. On *nix systems, the preferred way to do this is by setting the appropriate flags when building/installing
pygraphviz. For example, if the Graphviz libraries are installed in
/opt/lib/mygviz/on your system:pip install --global-option=build_ext \ --global-option="-L/opt/lib/mygviz/" \ --global-option="-R/opt/lib/mygviz/" \ pygraphviz
In this example, the
-Rflags tell the linker where to look for the required Graphviz libraries at build time and run time, respectively.
How do I compile pygraphviz under Windows?
See Windows for the latest on how to install Graphviz and pygraphviz on Windows.
Why don’t you distribute a pygraphviz Windows installer?
We would very much like to make binary wheels available for
pygraphviz, but there are several complications.
pygraphvizis a wrapper around Graphviz, which means that Graphviz must be installed, and Graphviz header files, libraries and command line executables must all be accessible for the wrapper. The recommended use of the Graphviz CLI poses challenges for wheel packaging.
This GitHub issue for further discussion on wheels and packaging.