If you are working in a Jupyter notebook, you may want to see your ggplot2 plots within your notebook.

If you’d like to see where you installed rpy2 on your machine, you can run python -m rpy2.situation. Once R is installed, install the rpy2 package by running pip install rpy2. You must have Python >=3.7 and R >= 4.0 installed to use rpy2 3.5.2. Getting started with rpy2 Installing rpy2įirst up, install the necessary packages. Each section contains detailed steps, and you can find the complete script in the appendix. Users can move between languages and use the best of both programming languages.īelow, I walk you through how to call three powerful R packages from Python: stats, lme4, and ggplot2. rpy2 provides an interface that allows you to run R in Python processes. Thanks to the rpy2 package, Pythonistas can take advantage of the great work already done by the R community.

Python has several well-written packages for statistics and data science, but CRAN, R’s central repository, contains thousands of packages implementing sophisticated statistical algorithms that have been field-tested over many years. This post on R Views is about… Python! Surprising, I know.

Python on rstudio