Plots Julia

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The main plotting package in Julia is called Plots.To create a figure, you supply data in the form of arrays as arguments to the plot function (x first, then y if appropriate, then z if appropriate). All other plot information (called attributes, in Plots lingo) is supplied using keyword arguments. For example:

Plots JuliaPlots

Note that the group keyword argument partitioned the data into two series, one for each unique value in the array supplied to group.These series are automatically shown in different colors and labeled in the legend.

You can see all the main plot types and attributes on the Plots.jl cheatsheet.

Intro to Plots in Julia Data visualization has a complicated history. Plotting software makes trade-offs between features and simplicity, speed and beauty, and a static and dynamic interface. Some packages make a display and never change it, while others make updates in real-time. These figures are made by Plots.jl Home View on GitHub Jupyter Notebook ver. This site is an unofficial Plots.jl Gallery site. It is inspired by MATLAB Plot Gallery. Figures are ploted by Plots.jl. Tested Environment. Julia 1.5.3; Plots 1.9.1; PyPlot 2.9.0; GR 0.53.0; For all plots, you should import Plots. Plotly Julia Library Plotly's Julia graphing library makes interactive, publication-quality graphs online. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots. This does what I think you want to configure. Julia plot(rand(40),xtickfontsize=18,ytickfontsize=18,xlabel='wavelength',xguidefontsize=18,yscale=:log10,ylabel='flux.

To save a plot, use the savefig function:

Plots Julia Color

Exercise
Make a graph which looks as much as possible like the one shown below. You'll want to look at the Plots.jl cheatsheet for options.

Solution.We change the line style and width, and we add labels for the axes:

To get a quick refresher on how to perform common tasks in Julia, check out the Julia-Python-R cheatsheet, also linked from browndsi.github.io.

PlotsPlots Julia

Plot Julia Set

Congratulations! You have finished the Data Gymnasia Programming with Julia course.