See https://github.com/apache/arrow/blob/master/r/R/python.R for the
r_to_py/py_to_r functions, and
https://github.com/apache/arrow/blob/master/r/src/py-to-r.cpp for how they
call the C++ library's implementation of the C data interface, in case you
need to go down to that level.
In case it's help
Agreed -- please check 0.17.0. Also, note that the C Data Interface
makes moving shared_ptr between R and Python radically simpler. See
the "py_to_r" functions in
https://github.com/apache/arrow/blob/master/r/tests/testthat/test-python.R
Similar "r_to_py" functions could be written to use rpy2
I
Hi Jeffrey,
I don't have expertise in this area (hopefully someone else can chime in),
but we recently released 0.17.0 could you check if this is still an issue
with the newer version?
Thanks,
Micah
On Sat, Apr 25, 2020 at 10:43 PM Jeffrey Wong
wrote:
> I was able to simplify this very much. Th
I was able to simplify this very much. There is a problem with
pyarrow==0.16.0, r-arrow==0.16.0, and rpy2. Just by loading pyarrow, rpy2
will not be able to load r-arrow. This set of imports fails now, but was
fine in 0.14.1. Is it possible there is a conflict with shared objects that
pyarrow loads
Hello, I am using Arrow Table's to facilitate fast data transfer between
python and R. The below strategy worked with arrow==0.14.1, but is no
longer working in arrow == 0.16.0.
Using pyarrow, I convert a pandas dataframe to a pyarrow Table, then get
the memory address to the underlying Arrow Tabl
