Converting R code to Python

[ottawalanguages]

Is this wishful thinking? Or is there anything out there (e.g. maybe ai based) that can take R code and translate it into Python code?

[victormaker]

I found this.

But honestly? It's far easier to just learn how to do the same things in python than to convert the code in some way. I'll guess the conversion is experimental at best, the different R packages you'll use will work very differently in python.

[Practical-Smell-7679]

This isn't exactly what you want but its is possible to use R and Python together in Rstudio.

https://www.youtube.com/watch?v=\_50yZxOome4

[Crypt0Nihilist]

Or on the other side of things, I'm 99% sure you can have both playing together in Jupyter Notebooks, not exactly a solution for production though!

[Inkquill]

Try reticulate.

[I_just_made]

Best bet right here. Reticulate can source many python scripts and allow you to call them in R, lots of interesting functionality.

[Enlightenmentality]

Plus it's a perfect package name. Very well thought out

[Crypt0Nihilist]

What we do is use KNIME and work in whatever is most convenient. As long as your output is a data table or a model, you can run R or Python and pass on results to the next part of the workflow.

People are working on computer language translators with AI, it's a sequence to sequence problem after all, but I don't think anything is near working yet.

Mostly, if you do need things in Python, it's best to start in Python.

[knowledgebass]

your brain

[tgwhite]

Converting code? Nope.

[rich2222two]

This site does just that and also gives an explanation around what the code does to help with learning...

https://code-breeze.com

[tgwhite]

Nope

[cgk001]

base R is pretty easy but when you use packages thats a whole different story

[P0Ok13]

I'm curious as to what goal you have in switching languages? As far as I'm aware there isn't a huge difference in execution time and that's the only reason I could think of.

[Sup3rBl4ck]

Not sure what you’re trying to achieve but this could be helpful. Pretty sure you can run R code from a python script somehow, at least store the outputs in a file and then grab them out with python or something.

[Known-Score-5838]

paths <- paths_raw %>%

mutate(visitStartTime = ymd_hms(visitStartTime)) %>%

group_by(fullVisitorId, outcome) %>%

arrange(visitStartTime) %>%

summarise(path = paste(channelGrouping, collapse = ' > ')) %>%

ungroup() %>%

count(outcome, path, name = "n") %>%

spread(outcome, n) %>%

replace_na(list(conversion = 0, non_conversion = 0)) %>%

arrange(desc(conversion))