My thoughts:
I don't know if this is a conda-problem or an rpy-problem.
Background:
I'm trying to get rpy to run in jupyter/python.
Here is what I am using:
- MS Windows 11 Pro
- Anaconda 22.9.0
- Python 3.7.16
- R-base 3.6.1
I also have installed a couple of helper packages:
- numpy version: 1.23.5
- scipy version: 1.10.0
- opencv version: 4.6.0
- matplotlib version: 3.6.2
I installed rpy2 version 2.9.4
When I execute the following code:
import rpy2
import rpy2.situation
for row in rpy2.situation.iter_info():
print(row)
I get the following output:
rpy2 version:
3.5.11
Python version:
3.9.16 (main, Jan 11 2023, 16:16:36) [MSC v.1916 64 bit (AMD64)]
Looking for R's HOME:
Environment variable R_HOME: None
InstallPath in the registry: C:\Program Files\R\R-4.2.2
Environment variable R_USER: None
Environment variable R_LIBS_USER: None
R version:
In the PATH: R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under the terms of the
GNU General Public License versions 2 or 3.
For more information about these matters see
https://www.gnu.org/licenses/.
Loading R library from rpy2: OK
Additional directories to load R packages from:
None
C extension compilation:
Warning: Unable to get R compilation flags.
Directory for the R shared library:
At this point it gives me a long string of errors that starts with this:
---------------------------------------------------------------------------
CalledProcessError Traceback (most recent call last)
Cell In[14], line 5
2 import rpy2
4 import rpy2.situation
----> 5 for row in rpy2.situation.iter_info():
6 print(row)
And ends with this:
File c:\Users\username\.conda\envs\this_env_name\lib\subprocess.py:528, in run(input, capture_output, timeout, check, *popenargs, **kwargs)
526 retcode = process.poll()
527 if check and retcode:
--> 528 raise CalledProcessError(retcode, process.args,
529 output=stdout, stderr=stderr)
530 return CompletedProcess(process.args, retcode, stdout, stderr)
CalledProcessError: Command '('C:\\Program Files\\R\\R-4.2.2\\bin\\x64\\R', 'CMD', 'config', 'LIBnn')' returned non-zero exit status 1.
When I try to run this:
import rpy2.robjects
The following is the first bit and last bit of the errors produced.
R[write to console]: Error in gettext(fmt, domain = domain, trim = trim) :
3 arguments passed to .Internal(gettext) which requires 2
---------------------------------------------------------------------------
RRuntimeError Traceback (most recent call last)
Cell In[16], line 4
1 #
2 import rpy2
----> 4 import rpy2.robjects
File c:\Users\username\.conda\envs\this_env_name\lib\site-packages\rpy2\rinterface.py:817, in SexpClosure.__call__(self, *args, **kwargs)
810 res = rmemory.protect(
811 openrlib.rlib.R_tryEval(
812 call_r,
813 call_context.__sexp__._cdata,
814 error_occured)
815 )
816 if error_occured[0]:
--> 817 raise embedded.RRuntimeError(_rinterface._geterrmessage())
818 return res
RRuntimeError: Error in gettext(fmt, domain = domain, trim = trim) :
3 arguments passed to .Internal(gettext) which requires 2
These did not have a way forward, although the last seemed relevant:
- https://stackoverflow.com/a/62986815/2259468
- https://rpy2.github.io/doc/latest/html/introduction.html
- https://rpy2.github.io/doc/latest/html/generated_rst/notebooks.html
- https://github.com/rpy2/rpy2/issues/874
- Jupyter notebook - rpy2 - Cannot find R libraries
- R[write to console]: Error in gettext(fmt, domain = domain, trim = trim) : 3 arguments passed to .Internal(gettext) which requires 2
This one says to use pip not conda, but that is a great way to poison conda environments. They can be hacked together but they can also break each other.
How to correctly install rpy2 in python?
Observations:
The R it should be using should be R-3.6 or so, and not R-4.2.2.
Question:
How do I get rpy to run in jupyter without breaking conda? I just want to have python call an r-script, and have it run on objects in the python workspace, then return a new object to the python workspace.