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))