rpy2 – interface to use R from Python

rpy2 is an interface to R running embedded in a Python process.

The high-level interface in rpy2 is designed to facilitate the use of R by Python programmers. R objects are exposed as instances of Python-implemented classes, with R functions as bound methods to those objects in a number of cases.

When designing rpy2, attention was given to:

• render the use of the module simple from both a Python or R user’s perspective,
• minimize the need for knowledge about R, and the need for tricks and workarounds,
• allow to customize a lot while remaining at the Python level (without having to go down to C-level).

This is free and open source software.

Key Features

• C-level interface between Python and R.
• Provides 2 levels of interface with R: – low-level (rpy2.rinterface) – high-level (rpy2.robjects).
• R objects are exposed to Python without needing to replicate the data.
• Python’s NumPy arrays can be exposed to R without making a copy.
• In-place modification for vectors and arrays possible.
• R callback functions can be implemented in Python.
• Possible to have anonymous R objects with a Python label.
• Python pickling.
• Full customization of R’s behavior with its console.

Website: rpy2.github.io
Support: GitHub Code Repository
Developer: Laurent Gautier and contributors
License: GNU General Public License v2.0

rpy2 is written in Python. Learn Python with our recommended free books and free tutorials.

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