RWrapR

Features

RWrapR is a python package for using R inside of python. It is built using rpy2, but attempts to be more convient to use. Ideally you should never have to worry about using R objects, instead treating R functions as normal python functions, where the inputs and outputs are python objects.

import rwrapr as wr
import pandas as pd
import numpy as np

dplyr = wr.library("dplyr")
dt = wr.library("datasets")

dplyr.last(x=np.array([1, 2, 3, 4]))
dplyr.last(x=[1, 2, 3, 4])

iris = dt.iris
df = dplyr.mutate(iris, Sepal=wr.Lazily("round(Sepal.Length * 2, 0)"))

To do

1. Port all test files for SSB-GaussSuppression, and SSBtools
2. Names/Dimnames for Vectors/Arrays/Matrices
3. Factors/Ordered Vectors
4. Better warning handling (this will likely be tricky)
    - Sometimes we will get datatypes which are incompatible,
        e.g., warning accompanied by
5. Better handling of missing values.
6. renv.script() for creating r scripts

Requirements

• TODO

Installation

You can install RWrapR via pip from PyPI:

pip install rwrapr

Usage

Please see the Reference Guide for details.

Contributing

Contributions are very welcome. To learn more, see the Contributor Guide.

License

Distributed under the terms of the MIT license, RWrapR is free and open source software.

Issues

If you encounter any problems, please file an issue along with a detailed description.

Credits

This project was generated from Statistics Norway's SSB PyPI Template.