R and Python

Inside a quarto notebook, you can actually go back and forth between R code chunks and Python code chunks, and even pass data between the two if you load the reticulate package.

r

library(reticulate)

r

names <- c("Ralph", "Rachel")

python

names = ["Paul", "Pamela"]

You can get Python data inside R with the py object.

r

py$names

[1] "Paul"   "Pamela"

And the R data in Python with the r object.

python

r.names

['Ralph', 'Rachel']

The set up is pretty good and interpreting data types from each language.

• R data frames -> pandas

r

library(palmerpenguins)

df <- head(penguins)

python

r.df

  species     island  bill_length_mm  ...  body_mass_g     sex  year
0  Adelie  Torgersen            39.1  ...         3750    male  2007
1  Adelie  Torgersen            39.5  ...         3800  female  2007
2  Adelie  Torgersen            40.3  ...         3250  female  2007
3  Adelie  Torgersen             NaN  ...  -2147483648     NaN  2007
4  Adelie  Torgersen            36.7  ...         3450  female  2007
5  Adelie  Torgersen            39.3  ...         3650    male  2007

[6 rows x 8 columns]

You can even do wilder things like use python libraries inside of R

r

np <- reticulate::import("numpy", as = "np")
np$ones(10L)

array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])