How-To: Rstudio: Use Reticulate Package to Manage R-Python Integration

Summary

How to get Python and R talking to each other by using the reticulate package by embedding a Python session within your R session, allowing seamless, bidirectional communication.

Body

Question

How do I use the reticulate package to manage R-Python integration?

Answer

1. Create and activate a new conda environment.

Note: To create a conda environment for using Rstudio, see "How-To: Rstudio: Create Conda Environment for Using Rstudio"

Note: To activate a conda environment, see "How-To: Using Anaconda - Activate a Virtual Conda Environment via Command Line Interface"

2. Install reticulate (r-reticulate) package in the conda environment.

Note: To install an R package in a conda environment, see "How-To: Using Anaconda - Install an R Package in a Virtual Conda Environment via Command Line Interface"

3. Set path and launch Rstudio

Note: To launch Rstudio, see "How-To: Rstudio: Launch Rstudio in Conda Environment From Command Line "

4. Create new R project

Note: To create a new project in Rstudio, see " How-To: RStudio: Create a New Project with Renv "

5. Load reticulate package

R prompt with "library(reticulate)"

6. Install python libraries using py_require()

Example: py_require("pandas")

R prompt with py_require("pandas")

7. Import & use modules

Example: pandas <- import("pandas")

R prompt with pandas <- import("pandas")

Details

Article ID: 2456

Created

Fri 5/22/26 8:30 AM

Modified

Fri 5/29/26 11:27 AM