python longs in data.frame

Open
#375 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Bug
Clarity
Mostly clear
Activity status
Stale
Tech stack
python, r
Domain
data

Research direction

Start in src/python.cpp around line 536, where Python longs are converted to an INTSXP, and trace how the resulting values enter an R data.frame. Determine the intended R representation for values beyond integer range; done means Python longs no longer overflow during conversion and are represented consistently in R.

Written by the indexing model from the issue text.

Description

I have a python function which returns longs in python. R integers can only go to about 10^9, so translating python long to R integer can cause an overflow.

I think the overflow comes from these lines, where a long is converted to a INTSXP

https://github.com/rstudio/reticulate/blob/7869d13544ecc13284a8a3f12025643e80c1e6a1/src/python.cpp#L536

Is there a way for reticulate to map python longs to R numerics? or integer.64?

Dominant language
R
Stars
1.8k
Forks
349
Avg merge
5h 13m
Merged PRs (30d)
4

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from rstudio/reticulate

All issues in rstudio/reticulate

Similar issues

More R issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.