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https://github.com/jheinen/GR.jl

Plotting for Julia based on GR, a framework for visualisation applications
https://github.com/jheinen/GR.jl

Last synced: 2 months ago
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Plotting for Julia based on GR, a framework for visualisation applications

Host: GitHub
URL: https://github.com/jheinen/GR.jl
Owner: jheinen
License: other
Created: 2015-01-13T14:31:54.000Z (over 9 years ago)
Default Branch: master
Last Pushed: 2024-03-21T09:56:47.000Z (3 months ago)
Last Synced: 2024-04-08T02:14:52.320Z (3 months ago)
Language: Julia
Homepage:
Size: 21 MB
Stars: 352
Watchers: 12
Forks: 75
Open Issues: 173
Metadata Files:
- Readme: README.md
- License: LICENSE.md

Lists

awesome-julia - Plotting for Julia based on GR, a framework for visualisation applications

README

        # The GR module for Julia

[![The MIT License](https://img.shields.io/badge/license-MIT-orange.svg)](LICENSE.md)

[![GitHub tag](https://img.shields.io/github/tag/jheinen/GR.jl.svg)](https://github.com/jheinen/GR.jl/releases)

[![GR Downloads](https://shields.io/endpoint?url=https://pkgs.genieframework.com/api/v1/badge/GR)](https://pkgs.genieframework.com?packages=GR)

[![DOI](https://zenodo.org/badge/29193648.svg)](https://zenodo.org/badge/latestdoi/29193648)

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/jheinen/GR.jl/master)

[![Join the chat at https://gitter.im/jheinen/GR.jl](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/jheinen/GR.jl?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

[![PkgEval](https://juliaci.github.io/NanosoldierReports/pkgeval_badges/G/GR.named.svg)](https://juliaci.github.io/NanosoldierReports/pkgeval_badges/G/GR.html)

[![CI](https://github.com/jheinen/GR.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/jheinen/GR.jl/actions/workflows/ci.yml)

[![Coverage Status](https://codecov.io/gh/jheinen/GR.jl/branch/master/graphs/badge.svg?branch=master)](https://app.codecov.io/gh/jheinen/GR.jl)

[![Screenshots](https://gr-framework.org/_images/screenshots.png)](https://gr-framework.org)

This module provides a Julia interface to

[GR](http://gr-framework.org/), a framework for

visualisation applications.

## Installation

From the Julia REPL an up to date version can be installed with:

```julia

julia> using Pkg

julia> Pkg.add("GR")

```

or in the [Pkg REPL-mode](https://docs.julialang.org/en/v1/stdlib/Pkg/index.html#Getting-Started-1):

```julia

pkg> add GR

```

The Julia package manager will download and install a pre-compiled

run-time (for your hardware architecture), if the GR software is not

already installed in the recommended locations.

## Getting started

In Julia simply type ``using GR`` and begin calling functions

in the [GR framework](http://gr-framework.org/julia-gr.html) API.

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.

```julia

using GR

histogram(randn(10000))

```

## Using GR as backend for Plots.jl

``Plots`` is a powerful wrapper around other Julia visualization

"backends", where ``GR`` seems to be one of the favorite ones.

To get an impression how complex visualizations may become

easier with [Plots](https://juliaplots.github.io), take a look at

[these](https://docs.juliaplots.org/stable/gallery/gr/)  examples.

``Plots`` is great on its own, but the real power comes from the ecosystem surrounding it. You can find more information

[here](https://docs.juliaplots.org/latest/ecosystem/).

## Alternatives

Besides ``GR`` and ``Plots`` there is a nice package called [GRUtils](https://github.com/heliosdrm/GRUtils.jl) which provides a user-friendly interface to the low-level ``GR`` subsytem, but in a more "Julian" and modular style. Newcomers are recommended to use this package. A detailed documentation can be found [here](https://heliosdrm.github.io/GRUtils.jl/stable/).

``GR`` and ``GRUtils`` are currently still being developed in parallel - but there are plans to merge the two modules in the future.

## Run-time environment

``GR.jl`` is a wrapper for the ``GR`` Framework. Therefore, the ``GR`` run-time libraries are required to use the software. These are provided via the [GR_jll.jl](https://github.com/JuliaBinaryWrappers/GR_jll.jl) package, which is an autogenerated package constructed using [BinaryBuilder](https://github.com/JuliaPackaging/BinaryBuilder.jl). This is the default setting.

Another alternative is the use of binaries from GR tarballs, which are provided directly by the GR developers as stand-alone distributions for selected platforms - regardless of the programming language. In this case, only one GR runtime environment is required for different language environments (Julia, Python, C/C++), whose installation path can be specified by the environment variable `GRDIR`.

```julia

ENV["JULIA_DEBUG"] = "GR" # Turn on debug statements for the GR package

ENV["GRDIR"] = "" # e.g. "/usr/local/gr"

using GR

```

For more information about setting up a local GR installation, see the [GR Framework](https://gr-framework.org) website.

However, if you want to permanently use your own GR run-time, you have to set the environment variable ``GRDIR`` accordingly before starting Julia, e.g.

- macOS or Linux: ```export GRDIR=/usr/local/gr```

- Windows: ```set GRDIR=C:\gr```

Please note that with the method shown here, `GR_jll` is not imported.

### Switching binaries via GR.GRPreferences

To aid in switching between BinaryBuilder and upstream framework binaries, the `GR.GRPReferences` module implements three methods `use_system_binary()`, `use_upstream_binary()`, and `use_jll_binary()`. These use [Preferences.jl](https://github.com/JuliaPackaging/Preferences.jl) to configure GR.jl

and GR_jll.jl.

To use an existing GR install, invoke `use_system_binary`.

```julia

using GR

GR.GRPreferences.use_system_binary("/path/to/gr"; force = true)

```

To download and switch to [upstream binaries](https://github.com/sciapp/gr/releases) invoke `use_upstream_binary`.

```julia

using GR # repeat this if there is an error

GR.GRPreferences.use_upstream_binary(; force = true)

```

`use_system_binary` and `use_upstream_binary` accept an `override` keyword. This may be set to one of the following:

* `:depot` (default) - Use Overrides.toml in the Julia depot. This normally resides in `.julia/artifacts/Overrides.toml`

* `:project` - Use LocalPreferences.toml. This is usually located near the Project.toml of your active project environment.

* `(:depot, :project)` - Use both of the override mechanisms above.

To switch back to BinaryBuilder binaries supplied with [GR_jll](https://github.com/JuliaBinaryWrappers/GR_jll.jl), invoke `use_jll_binary`:

```julia

using GR # repeat this if there is an error

GR.GRPreferences.use_jll_binary(; force = true)

```

This will reset both the `:depot` and `:project` override mechanisms above.

If you encounter difficulties switching between binaries, the `diagnostics()` function will provide useful information.

Please include this information when asking for assistance.

```julia

using GR

GR.GRPreferences.diagnostics()

```