You can do the same in ipython notebook (I'd presume jupyter as well) using magic commands: http://rpy.sourceforge.net/rpy2/doc-2.4/html/interactive.htm...

It's kind of weird to use but it works for the most part. You can clean up some data in python, then push the data over to a cell written in R to do some other evaluation, then push the results back over to python.