This package plots julia variables in matlab.
You can install MATLABPlots.jl by using Julia's package management system. For now, MATLABPlots is not registered in the Julia General package registry, meaning it can be installed via the github link by typing Pkg.add(https://github.com/abillscmu/MATLABPlots.jl). MATLABPlots is just a collection of functions running on MATLAB.jl, and thus has the restrictions of MATLAB.jl and requires an installation of MATLAB.
Docs are a work in progress, but usage is almost identical to MATLAB's. A basic plotting command might be:
x = rand(100)
y = rand(100)
plot(x,y)
To customize the line, just like in MATLAB, one can pass as a third argument (or 4th for a 3d plot) a string corresponding to the same customizations as MATLAB. For example, to plot a series of red plus signs using the same x and y as above:
plot(x,y,"r+")
One key difference is that rather than using MATLAB's infamous name-value pairs, MATLABPlots takes as an optional keyword argument of options, which is a dictionary with the keys corresponding to names and the values corresponding to values in MATLAB. For example, to plot x and y with a marker size of one:
options = Dict("MarkerSize"=>1)
plot(x,y,"r+",options=options)
MATLABPlots also contains most of the figure handling capabilities of MATLAB such as figure(1) and clf(), as well as axis labels, titles, and methods for customizing the gcf and gca objects. MATLAB's set(gca,...) can be accomplished via the setgca() function and set(gcf,...) via the setgcf() function. Again, name-value pairs are accomplished via a dictionary of options. All options are the same as in the MATLAB documentation.
hold on and grid on can be accomplished via hold_on() and grid_on() functions provided by MATLABPlots.
Saving can be accomplished via the printgcf(kwargs...) function which is identical in syntax to MATLAB's print(gcf,...) or via the saveas function.
If you would like to have a feature added, please open an issue or a PR. MATLABPlots does not contain a comprehensive collection of MATLAB's plotting capabilities, and we're open to adding anything that we're missing.