How to Run Python from R Studio – Part II

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See Part I for instructions on how to use reticulate package and its integration with R Studio to run Python code.

Importing Python modules

Importing Python modules with reticulate::import() produces the same behaviour:

np <- import("numpy")
np$array(list(c(1, 2, 3), c(4, 5, 6)))
##      [,1] [,2] [,3]
## [1,]    1    2    3
## [2,]    4    5    6

Notice that my numpy array is created using R list objects in a manner analogous to Python lists: np.array([[1, 2, 3], [4, 5, 6]]).

REPL-ing Python in R Studio

You can also open an interactive Python session within R by calling reticulate::repl_python(). Any objects created within the Python session are available in the R session via the py object.


With reticulate you can run your Python scripts in RStudio. It embeds a Python session within an R session, and allows you to pass objects between the two sessions.

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