Hi Jack, As a frequent reticulate user I am very excited to see this patch. I hope others feel the same and it gets included into org mode as I cannot wait to use it. Best Regards, Kyle On Mon, Aug 24, 2020, 11:28 Jack Kamm wrote: > Hi all, > > Reticulate is an R package for interfacing between R and Python. It allows > accessing objects in a Python session from R and vice versa. See > https://rstudio.github.io/reticulate/ for more info about it. > > I've written a small patch for using reticulate from org-babel. It allows > creating a source block of lang "reticulate", which behaves as Python for > font highlighting and editing, but is executed in an R session via > reticulate. > > I'm wondering whether this should go into org-mode, or whether to package > this separately. I'm also curious whether this would be useful to anyone > here. Any feedback is appreciated. > > The main advantage of reticulate is being able to access Python objects > directly from R and vice versa, without having to write them to a separate > file or pass them through the ":var" header argument. For example, we could > do the following: > > #+begin_src reticulate :session > import pandas as pd > > fib = [0, 1] > for _ in range(10): > fib.append(fib[-1] + fib[-2]) > > df = pd.DataFrame({ > "i": list(range(len(fib))), > "F_i": fib > }) > #+end_src > > #+begin_src R :session :results graphics value file :file fig.png > library(reticulate) > with(py$df, plot(i, F_i)) > #+end_src > > Reticulate source blocks support both "value" and "output" results, and > even supports graphics with matplotlib. It's primarily intended to be used > in sessions, and the ":session" header argument should match between > reticulate and R source blocks. > > Cheers, > Jack > >