Skip to main content

Hey! R Executable Object

Project description

RExec is a simple interface for running R in bulk on .R files. It is not intended to be a replacement for rpy or rpy2. If you’re the kind of person who does some analysis in R and just wants to mechanize running it (rather than a closer integration with Python), this library might be for you.


A chaining R executing object.

RExec lets you run R code and get the results from Python. For the most part, the interface is pretty hacky. The goal is to make it easy to automate the usage of existing R files, rather than make elegant programs integrating R and Python. (For the latter, you might consider rpy or rpy2.)

An RExec object takes a directory where it will be run. You can then add R code to the object in a variety of ways (append_string, append_file and so on). When you are done appending to the RExec object, you can use the execute() method which will run an R slave process on all of the R that you have appended so far (concatenated together. Finally, you can get access to results of your R script in a relatively unorthodox way. Any files output with an “r_” prefix will be available by calling get_text() or get_graphic() as appropriate.

RExec has a chaining interface. This means you can do things like:

r_ex =(RExec(some_dir)
r_ex.get_graphic('foo.svg', path='absolute')

Project details

Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
hey_rexec-1.0.0.tar.gz (3.9 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page