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Mapping R API to Python

Project description

Interoperate R with Python

Main codecov pypi Conda version


# install released version
pip install -U rchitect

# or the development version
pip install -U git+

Why reinvent the wheel?

You may be curious why I reinvented the wheel when there is rpy2?

The main reason is to drive radian. rpy2 was not suitable because it is missing some key features for running the R REPL. Speaking of compatibility, rchitect has been thoroughly tested on multiple platforms such as Windows, macOS and Linux and we also provide binary wheels for python 3.6+.

Getting started

from rchitect import *
a = reval("1:5")     # evaluate an R expression in the global environment
b = rcopy(a)         # convert any RObject returned by `reval` to its python type
c = robject(b)       # convert any python object to its R type
d = rcall("sum", c)  # call an R function. Python objects are converted to RObjects implicitly.


How to switch to a different R or specify the version of R.

There are a few options.

  • One could expose the path to the R binary in the PATH variable
  • The environment variable R_BINARY could also be used to specify the path to R.
  • The environment variable R_HOME could also be used to specify R home directory. Note that it is should be set as the result of R.home(), not the directory where R is located. For example, in Unix
$ env R_HOME=/usr/local/lib/R radian

Cannot find shared library

Please also make sure that R was installed with the R shared library or libR.dylib or libR.dll. On Linux, the flag --enable-R-shlib may be needed to install R from the source.


reticulate conversions

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