RPy

It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions).

All errors from the R language are converted to Python exceptions.

Any module installed for the R system can also be utilized from within Python itself.

What is new in this release:

• Significant changes were made in the underlying C code (R objects protected from garbage collection by rpy2 can now be tracked), and there are new visible features such as interface to the R help and a very experimental system to build R graphical devices from Python.

What is new in version 2.6.0:

• Significant changes were made in the underlying C code (R objects protected from garbage collection by rpy2 can now be tracked), and there are new visible features such as interface to the R help and a very experimental system to build R graphical devices from Python.

What is new in version 2.5.6:

• Significant changes were made in the underlying C code (R objects protected from garbage collection by rpy2 can now be tracked), and there are new visible features such as interface to the R help and a very experimental system to build R graphical devices from Python.

What is new in version 2.2.2:

• Bugs fixed:
• With the robjects layer, repr() on a list containing non-vector elements was failing.

What is new in version 2.1.9:

• The R class in rpy2.robjects is now truly a singleton
• When using numpy 1.5 and Python >= 2.7, the exposed buffer for R numerical (double) vectors or arrays was wrong.

What is new in version 2.1.4:

• New features:
• rpy2.robjects.lib.ggplot2 now has the functions limits(), xlim(), ylim() exposed.
• Bugs fixed:
• Install script when the BLAS library used by R is specified as a library file.