R and Python in one Jupyter notebook

Question

Is it possible to run R and Python code in the same Jupyter notebook. What are all the alternatives available?

1. Install r-essentials and create R notebooks in Jupyter.
2. Install rpy2 and use rmagic functions.
3. Use a beaker notebook.

Which of above 3 options is reliable to run Python and R code snippets (sharing variables and visualizations) or is there a better option already?

Answer 1

Yes, it is possible! Use rpy2.

You can install rpy2 with: pip install rpy2

Then run %load_ext rpy2.ipython in one of your cells. (You only have to run this once.)

Now you can do the following:

Python cell:

# enables the %%R magic, not necessary if you've already done this %load_ext rpy2.ipython  import pandas as pd df = pd.DataFrame({     'cups_of_coffee': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],     'productivity': [2, 5, 6, 8, 9, 8, 0, 1, 0, -1] }) 

R cell:

%%R -i df -w 5 -h 5 --units in -r 200 # import df from global environment # make default figure size 5 by 5 inches with 200 dpi resolution  install.packages("ggplot2", repos='http://cran.us.r-project.org', quiet=TRUE) library(ggplot2) ggplot(df, aes(x=cups_of_coffee, y=productivity)) + geom_line() 

And you'll get your pretty figure plotting data from a python Pandas DataFrame.

Answer 2

Using @uut's answer for running R in a jupyter notebook within python kernel (in MacOS), the following worked for me.

%%Rshould always be at the start of the cell else you will get the error as shown in figure below

The following is the right way:

Also %load_ext rpy2.ipython should come before %%R hence put it in a different cell above it as shown in the figures.