Graphics in Julia
Several packages exist to plot data and visualize data relations; Plots and PyPlot are some of the most commonly used:
PyPlot: (refer to the Installing and working with Jupyter section in Chapter 1, Installing the Julia Platform) This package works with no overhead through thePyCallpackage. The following is a summary of the main commands:plot(y),plot(x,y)plots y versus 0,1,2,3 or versusx:loglog(x,y)semilogx(x,y),semilogy(x,y)for log scale plotstitle("A title"),xlabel("x-axis"), andylabel("foo")to set labelslegend(["curve 1", "curve 2"], "northwest")to write a legend at the upper-leftgrid(),axis( "equal")adds grid lines, and uses equalxandyscalingtitle(L"the curve $e^\sqrt{x}$")sets the title with a LaTeX equationsavefig( "fig.png"),savefig( "fig.eps")saves as the PNG or EPS image
Plots: (refer to the Adding a new package section in Chapter 1, Installing the Julia Platform) This is the favorite package in the Julia Computing community. It is a visualization interface...
