Recap Previously in this series, we discovered the equivalent python data structures for the following R data structures: vectors lists arrays/matrixes In this post, we will look at translating R data frames into python. We will also compare and contrast data frames in R and python. R data frame is a python… Pretty straight forward, a R data frame is a python data frame. We will use an in built data frame, OrchardSprays, for our illustration.
Recap Previously in this series, we discovered the equivalent python data structures for the following R data structures: vectors lists In this post, we will look at translating R arrays (and matrixes) into python. 1D R array A 1D R array prints like a vector. library(tidyverse) library(reticulate) py_run_string("import numpy as np") py_run_string("import pandas as pd") (OneD<-array(1:6)) ##  1 2 3 4 5 6 But it is not truly a vector
Previously, we uncovered what are R vectors in python. In this post, we will convert R lists in python. A R list is a python … Like R vectors, it depends. A R list will behave differently in python depending if it is named or not. Unnamed R list An unnamed list in R is a python list. library(tidyverse) library(reticulate) conda_list()[] %>% use_condaenv() Relement_int=2L Relement_bool=TRUE Relement_char="banana" Rlist_nameno<-list(Relement_int, Relement_bool, Relement_char) class(Rlist_nameno) ##  "list" r_to_py(Rlist_nameno) %>% class() ##  "python.
reticulate allows us to toggle between R and python in the same session, callling R objects when running python scripts and vice versa. When calling R data structures in python, the R structures are converted to the equivalent python structures where applicable. However, like translating English to Mandarin, translating R structures to python may not be straightforward which we will see later. There are 5 R data structures: vector (more specifically atomic vector)
Just like how Thanos claimed to be inevitable in The Avengers, the direct or indirect use of python has become inevitable for R users in recent years. Fret not R users, you don’t have to abandon your favourite IDE, Rstudio, when using python. With the reticulate package you can use python in Rstudio and even have a mixture of R and python code running in the same session. If you blog with blogdown, you don’t have to migrate to another platform to write about your python projects.