Using R data with phyton

Quarto ha hecho que me vuelva a interesar por Phyton!!!

Es muy fácil combinar chunks de R con Py, solo hay que pasar los datos así: my_py_data = r.df

library(reticulate)

df <- gapminder::gapminder
iris <- iris

from siuba import _, group_by, summarize

my_data = r.df

(my_data
  >> group_by(_.continent)
  >> summarize(avg_lifeExp = _.lifeExp.mean())
  )

  continent  avg_lifeExp
0    Africa    48.865330
1  Americas    64.658737
2      Asia    60.064903
3    Europe    71.903686
4   Oceania    74.326208

from siuba import mutate, _
from plotnine import ggplot, aes, geom_point

my_data = r.iris

(my_data
  >> ggplot(aes("Sepal.Length", "Petal.Length", color = "Species"))
   + geom_point()
)

<ggplot: (8325926046438)>

1 Some biblio

• Quarto with Python