Another popular graphics package is Vega. The main feature of Vega is the ability to describe your graphic using language primitives, such as JSON. Vega produces most of the standard plots. Here is an example script using Vega for a pie chart:
#Pkg.add("Vega") #Pkg.add("Compat") #Pkg.add("Patchwork") using Vega using Compat using Patchwork Patchwork.load_js_runtime() stock = ["chairs", "tables", "desks", "rugs", "lamps"]; quantity = [15, 10, 10, 5, 20]; piechart(x = stock, y = quantity)
The generated graphic produced in Jupyter is shown in the following screenshot:
Another plotting package available is PyPlot. PyPlot is one of the standard Python visualization libraries and is directly accessible from Julia. We can take this small script to produce an interesting visualization:
#Pkg.add("PyPlot") using PyPlot precipitation = [0,0,0,0,0,0,0,0,0,0,0.12,0.01,0,0,0,0.37,0,0,0,0, ...