Loading .RData files into Python

Question

I have a bunch of .RData time-series files and would like to load them directly into Python without first converting the files to some other extension (such as .csv). Any id

Answer 1

As an alternative for those who would prefer not having to install R in order to accomplish this task (r2py requires it), there is a new package "pyreadr" which allows reading RData and Rds files directly into python without dependencies.

It is a wrapper around the C library librdata, so it is very fast.

You can install it easily with pip:

pip install pyreadr

As an example you would do:

import pyreadr

result = pyreadr.read_r('/path/to/file.RData') # also works for Rds

# done! let's see what we got
# result is a dictionary where keys are the name of objects and the values python
# objects
print(result.keys()) # let's check what objects we got
df1 = result["df1"] # extract the pandas data frame for object df1

The repo is here: https://github.com/ofajardo/pyreadr

Disclaimer: I am the developer of this package.