Here are four ways to convert your R code to Python.
- Using the rpy2 library
- Using an online converter
- Manually translate your code to Python
- Using R reticulate package
Method 1: Using the rpy2 library
The rpy2 is an interface to R running embedded in a Python process.
The rpy2 is a Python library that provides bi-directional access to R.
It allows you to run R code from within Python and pass data between R and Python.
To install rpy2, use the below command.
pip install rpy2
# OR
python3 -m install rpy2
After installing, you can import the package like this:
import rpy2.robjects as robjects
Next, let’s write a simple R program we will run in the Python console.
import rpy2.robjects as robjects
r_code = 'c(11, 21, 19, 46)'
r_vector = robjects.r(r_code)
print(r_vector)
Output
[1] 1 2 3 4 5
Method 2: Using an online converter
You can find a few online resources that automatically translate your R code into Python.
The rpy2, which we already saw be used to translate R code into Python.
Method 3: Manually translate code to Python
Translating a code from R to Python can be time-consuming, but it can be an excellent way to learn both languages and understand how the code works.
Method 4: Using the R reticulate package
You can install the “reticulate” R package to embed Python code into R.
To set up, type the install.packages(“reticulate”) command, and then run Python code within R with the py_run_string() function.
Conclusion
Use the Python rpy2 package to run R code in Python or convert R code to Python.
If you know R and Python languages, translate the code because it will be more accurate but cost time.
That’s it.