python - Pandas - how to convert r dataframe back to pandas?

Question

I converted a pandas df to r using the the below:

import pandas as pd
import pandas.rpy.common as com
import rpy2.robjects as ro
from rpy2.robjects.packages import importr
rdf = com.convert_to_r_dataframe(df)

How do I convert rdf back to a pandas df?

df = f(rdf) ?

Answer 1

Since rpy2 release 2.4.0 converting data frames back and forth between rpy2 and pandas is included as an optional module. With it, no need to convert explicitly, it will be done on the fly.

The documentation contains examples (also available as a Jupyter notebook - link available near the top of the page): https://rpy2.github.io/doc/latest/html/pandas.html#interoperability-with-pandas

Note: The original answer to this question recommended the following.

from rpy2.robjects import pandas2ri
pandas2ri.activate()

If wishing to convert explicitly for any reason, the functions are pandas2ri.py2ri() and pandas2ri.ri2py() (they were pandas2ri.pandas2ri() and pandas2ri.ri2pandas()).

Note: Since rpy2 release 3.3.0 explicit conversion is done as follows

import rpy2.robjects as ro

dt = pd.DataFrame()
# To R DataFrame
r_dt = ro.conversion.py2rpy(dt)
# To pandas DataFrame

pd_dt = ro.conversion.rpy2py(r_dt)

For more details check out this link.