# Reticulate

### What `R` you? (R dataframe vs python dataframe)

py, R
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.

### What `R` you? (R matrixes and R arrays in python)

R, py
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] 1 2 3 4 5 6 But it is not truly a vector

### What `R` you? (R lists in python)

py, R
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()[[1]] %>% use_condaenv() Relement_int=2L Relement_bool=TRUE Relement_char="banana" Rlist_nameno<-list(Relement_int, Relement_bool, Relement_char) class(Rlist_nameno) ## [1] "list" r_to_py(Rlist_nameno) %>% class() ## [1] "python.

### What `R` you? (R vectors in python)

R, py
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)

### `R` you ready for python (gentle introduction to reticulate package)'

R, py
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.