Julia Package GR¶
For the Julia programming language an official
GR.jl package has been registered.
You can add the GR framework to your Julia installation by entering the Pkg
] and typing:
In Julia versions without the Pkg REPL-mode you can instead use the
This will automatically install both the GR runtime and the Julia wrapper. You may need to install some additional dependencies on Linux:
apt install libxt6 libxrender1 libxext6 libgl1-mesa-glx libqt5widgets5
- CentOS 7:
yum install libXt libXrender libXext mesa-libGL qt5-qtbase-gui
- Fedora 28:
dnf install libXt libXrender libXext mesa-libGL qt5-qtbase-gui
- openSUSE 42.3 / 15:
zypper install libXt6 libXrender1 libXext6 Mesa-libGL1 libQt5Widgets5
- Arch Linux:
pacman -S mesa qt5-base
- CentOS 6 / Other Linux distributions
yum install libXt libXrender libXext Mesa-libGL qt-x11
Note: The CentOS 6 build is used for other Linux distributions and relies on Qt 4 for the
gksqtapplication, so you may need to install X11, OpenGL and Qt 4 packages specific to your system.
For information on building the GR runtime yourself, see Building the GR Runtime.
Docker and other headless Linux systems¶
- GR does not rely on X11 for its non-interactive output formats, so you will not need the dependencies listed above on a headless system.
- GR3 uses GLX for OpenGL context creation, which requires a connection to an X server. If you are using a headless sytem, e.g. a Docker container, you can use Xvfb or similar tools to start an X server that can be used by GR3, although it may only provide software rendering.
After installing GR, you can try it out by creating a simple plot. Let’s start with a simple example. We generate 10,000 random numbers and create a histogram. The histogram function automatically chooses an appropriate number of bins to cover the range of values in x and show the shape of the underlying distribution.
using GR histogram(randn(10000))