First, add the package
import Pkg Pkg.add("Plots") # if you want the latest features: Pkg.pkg"add Plots#master"
then get any plotting packages you need (obviously, you should get at least one backend).
Tier 1 support (alphabetical order) backends:
Pkg.add("GR") # Note that GR has additional installation requirements # https://gr-framework.org/julia.html#installation Pkg.add("PGFPlotsX") # You need to have latex installed on your system Pkg.add("PlotlyJS"); Pkg.add("ORCA") # Note that you only need to add this if you need electron windows and # additional output formats, otherwise `plotly()` comes shipped with Plots.jl # In order to have a good experience with Jupyter, refer to plotly-specific # Jupyter installation jupyter https://github.com/plotly/plotly.py#installation Pkg.add("PyPlot") # Depends only on PyPlot package
Tier 2 support backends:
Learn more about backends here
Finally, you may wish to add some extensions from the Plots ecosystem:
using Plots # or StatsPlots # using GraphRecipes # if you wish to use GraphRecipes package too
Choose a backend, and optionally override default settings at the same time:
gr(size = (300, 300), legend = false) # provide optional defaults pgfplotsx() plotly(ticks=:native) # plotlyjs for richer saving options, otherwise it is the same pyplot() # backends are selected with lowercase names!
Plots will pick a default backend for you automatically based on what backends are installed. You can override this choice by setting an environment variable in your
ENV["PLOTS_DEFAULT_BACKEND"] = "PlotlyJS"
You can override standard default values in your
PLOTS_DEFAULTS = Dict(:markersize => 10, :legend => false, warn_on_unsupported = false)