Exploiting the interactivity of Plots backends

In the previous section, we have seen that multiple Plots backends offer interactivity out of the box—in particular, Gaston, InspectDR, PyPlot, Plotly, and PlotlyJS. Among those, Plotly and PlotlyJS provide the largest number of available interactive actions. So, let’s try the interactive capabilities of Plots utilizing the Plotly backend, as follows:

1. Open the Julia REPL and execute using Plots to load the Plots package.
2. Execute plotly() on the Julia REPL to use the Plotly backend that comes with Plots.
3. Run the following code to generate example data:

   x = 0:0.1:2pi
   y_sin = sin.(x)
   y_cos = cos.(x)

4. Execute plot(x, [y_sin y_cos], labels=["sin" "cos"]) to create a plot that would be rendered with Plotly. Let’s interact with it.
5. Move the mouse over the plot; you will see that a toolbox appears on the top right. The options on the toolbox depend on the plot type, and they can also...