To do this, we'll need a backend which is compatible with these features. However, let's say we want a different plotting backend which will plot into a nice GUI or into the plot pane of VS Code. When we started plotting above, our plot used the default backend GR. The nice thing about this is that this means you can use many different plotting libraries all with the Plots.jl syntax, and we'll see in a little bit that Plots.jl adds new features to each of these libraries! This plotting library in the background is referred to as the backend. Thus what Plots.jl is actually doing is interpreting your commands and then generating the plots using another plotting library. Here's a secret: Plots.jl isn't actually a plotting package! Plots.jl is a plotting metapackage: it's an interface over many different plotting libraries. For more examples of attributes in action, see the examples pages. Note that this implicitly uses the global Plots.CURRENT_PLOT and we can apply it to other plot objects via attribute!(p,value). Or we can use the modifier function to add it after the plot has already been generated: xlabel!("My x label")Įvery modifier function is the name of the attribute followed by !. We can in the plot command specify it via xlabel=. For example, the xlabel attribute adds a label for the x-axis. Note that every attribute can also be applied by mutating the plot with a modifier function. Plot(x, y, title = "Two Lines", label =, lw = 3) Let's apply that to our previous plot: x = 1:10 y = rand(10, 2) # 2 columns means two lines Thus something like plot(x,y,z) is 3-dimensional data for 3D plots, while plot(x,y,attribute=value) is 2-dimensional with an attribute.Īs an example, we see that from the attributes page that we can increase the line width using linewidth (or its alias lw), change the legend's labels using the label command, and add a title with title. Plots.jl follows a simple rule with data vs attributes: positional arguments are input data, and keyword arguments are attributes. These are documented at the attributes page. In Plots.jl, the modifiers to plots are called attributes. we're done right? No! We need to style our plots. Note that in the case where p is omitted, Plots.jl uses the global Plots.CURRENT_PLOT automatically in the same manner. Note that we could have done the same as above using an explicit plot variable: x = 1:10 y = rand(10, 2) # 2 columns means two lines Let's add another line to our current plot: z = rand(10) Thus we can plot multiple lines by plotting a matrix of values and each column is interpreted as a separate line: x = 1:10 y = rand(10, 2) # 2 columns means two linesĪdditionally, we can add more lines by mutating the plot object. a set of related points which form lines, surfaces, or other plotting primitives. In Plots.jl, every column is a series, i.e. The plot is displayed in a plot pane, a stand-alone window or the browser, depending on the environment and backend (see below). X = 1:10 y = rand(10) # These are the plotting data Assuming you have installed Plots.jl via Pkg.add("Plots"), you can plot a line by calling plot on two vectors of numbers. Its main goal is to introduce you to the terminology used in the package, how to use Plots.jl in common use cases, and put you in a position to easily understand the rest of the manual. Vector format or bitmap format? Images can be of either vector format of bitmap format.This is a guide for getting you up and running with Plots.jl. To use it, we include the following line in the preamble: \usepackage to include it in our document.) Latex can not manage images by itself, so we need to use the graphicx package.
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