Julia: print_with_color() in terminal - julia

If my script run_this.jl contains the following, single line of code:
print_with_color(:green, "Hello")
and I run the script in the terminal as julia run_this.jl, it does not print in color. Is there a way to make this function work when I run a julia script in the terminal?

You can use the color option when calling your julia script. E.g.
julia --color=yes run_this.jl
That works for me on mac osx and linux. Not sure about windows.

Related

Using plot within a script in julia

I've been prototyping some julia code in a Jupyter notebook, but it's outgrown the notebook format and I want to put it in a script in order to organise it properly. However, I can't work out how to get Plots to work in a script, and can't find any documentation about it.
Here's a minimal not-working example:
using Plots
gr()
display(plot([1,3,2]))
println("here")
This code takes 20-30 seconds to import Plots, then opens a window but immediately closes it again, prints "here", and exits. I can't use ctrl-C while the import process is happening.
So, I have three questions:
How do I prevent the plot window from closing as soon as it opens? What I want is for the script to block or (ideally) enter an event loop until the window is closed, and terminate after that.
Can the extremely long import time be reduced somehow?
Does any documentation exist for using Plots outside of a Jupyter environment?
If it makes a difference, I'm using julia 1.1.1 on a Mac.
The most natural way to achieve the workflow you're looking for in the first bullet is to use Juno or VS Code. Suppose in your working directory you have the following code in a file script.jl:
using Plots
gr()
display(plot([1,3,2]))
hello = "world"
println("here")
Now fire up Juno or VS Code and launch the integrated Julia REPL. From the Julia REPL, you can use include to source your script:
julia> include("script.jl")
Plot{Plots.GRBackend() n=1}
here
Now your script has been completely run and the plot is available for viewing in the plot pane (this is true for both Juno and VS Code). Now you can continue to include other files in the REPL or run other code interactively. Note that variables defined in script.jl are available for use:
julia> hello
"world"
EDIT:
If you run a script using the -i option (for interactive), the plot GUI will stay open and a REPL will launch after the script is done running:
$ julia -i script.jl
The various options to the Julia executable can be found here, or can be found by typing $ julia --help in a terminal.
The import time can be eliminated by compiling the Plots.jl package ahead of time and baking it into your julia executable using the PackageCompiler.jl package. Here is a link to the package website
https://julialang.github.io/PackageCompiler.jl/dev/
See the tutorial on how to do this, the first tutorial is about compiling a syntax highlighting package. That one replaces your default 'sysimage'. The second tutorial is about creating a loadable 'sysimage' where Plots.jl is compiled, and starting Julia with this 'sysimage' so it doesn't have to complie Plots.jl again.
However I coudln't get the second 'loadable sysimage' working so I used the first tutorials way even for Plots.jl.
After this change, using Plots and plot() are basically instant.

How to drop into R shell after executing commands from file in R

In Python, running the interpreter with the -i flag first executes the script, then drops back into the interpreter
python -i hello.py
Hello world
>>> print("Python ftw")
Python ftw
>>>
which allows me to type commands and reach the variables after execution.
With R, this seems to be of great difficulty. I have been searching online for some time, and am surprised to see there is not so many results with the keywords "R run file shell interpreter".
With R, you can use
$ R -f myfile.R which executes and then exits the interpreter
$ Rscript myfile.R which still does the same thing.
Even worse, it does not plot when run like this and just exits without showing any signs that something has been plotted.
So, to repeat my question:
How do I make R to drop into the R shell after running commands from a file, a.k.a. a script?
Concurrently, how can I make R really plot the plots and not close them off immediately?
I can do these with Python, MATLAB, Octave, Ruby and many others, and should be able to do with R too.
I will answer your two questions separately:
How do I drop into a shell after my script has executed?
The function "browser" called with no arguments will allow to to drop into a shell on the line that it's called. Appending this to your script should do the trick.
How do I save graphics when not run in interactive mode?
First, check that there isn't a pdf file being created in your working directory. Depending on how you're running R, I believe it may be named "Rplots.pdf". Personally, however, I prefer to explicitly save graphics to a particular file, as such:
pdf("temp.pdf")
plot(rnorm(100))
dev.off()
which will save the plot in a new file called temp.pdf (and will overwrite any existing file by that name, so watch out).
Functions analagous to "pdf" exist for other image formats if you would prefer that.

How to display figures using RScript?

I know RScript is non-interactive, but I would like to display figures without running into the R interactive console first (the same way as in python and java).
In other words, I am hoping to be able to run a single build command from command prompt or terminal that runs an R script and displays its figures.
Thanks.
If you are familiar with shiny you can build simple shinyApp to display file.png file in browser:
Rscript -e 'png("file.png"); plot(1:10); dev.off(); runApp("display_png_app")'
Good comment by #Ista: you don't need to use shiny, you can simply use browseURL("file.png") command instead runApp.

Run line or command in R on a Mac

I am running R 3.0.0 on OSX Snow Leopard.
I would like to run each line from the editor separately without having to copy and paste the commans. Is there any way to do this?
Highlight the line, then command-enter.
Alternatively, if you want to run all the stuff in a .R file you can use the source function.

How do I test if R is running as Rscript?

I have code in a single R file that I want to be able to source (i.e., to define my functions etc.) within RStudio during development, and also run using the #! /usr/bin/env Rscript syntax via the command line (actually, using Hadoop). For the latter, I need the last thing that Rscript does to be to kick off the analysis (i.e., using a call to a main() function). For the former, I don't want my main() function called. I'd like to be able to test if the code is running within Rscript (or, alternatively, within RStudio), so that I can either execute main() or not. Is this possible, please?
One solution would be to break my code into multiple files, but I'd rather avoid this if possible (to make the Hadoop stuff slightly easier).
Thanks in advance.
You could use interactive to test if R is running in interactive mode. interactive will return FALSE under Rscript and TRUE under (most?) GUIs.

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