I tracked down that strange "unresolved symbol" error I was getting.
It turns out that rpy2 tip includes a reference to R_ProcessEvents
unconditionally, but in fact R_ProcessEvents is not a portable API.
R_ProcessEvents only exists on Win32 and OS X/Aqua builds of R.
And on OS X, unless someone ha
There are several times in R when it is valuable to explicitly leave
an argument missing. For example, when extracting a row from a matrix:
> m <- matrix(1:4, nrow=2)
> m[2] # Flat indexing
[1] 2
> m[2, ] # Note the comma!
[1] 2 4
However, there is currently no way to support this (rather
idios
The attached patch adds a method ".duplicate" to rinterface.Sexp
objects. When called, it returns a new Sexp that is identical to the
first, but shares no memory with the first. (Underlyingly, it just
calls Rf_duplicate.)
This is useful when you have an Sexp that you want to mutate, but you
also w
On Sun, Feb 8, 2009 at 1:40 AM, Nathaniel Smith wrote:
> This patch just cleans up a few things I noticed while hacking:
> - The testSexp_sexp_destroyCobj test is a no-op. I'm not sure what
> it's trying to test, but whatever it is, it isn't testing it.
> - Fix most compile warnings that occur w
This patch just cleans up a few things I noticed while hacking:
- The testSexp_sexp_destroyCobj test is a no-op. I'm not sure what
it's trying to test, but whatever it is, it isn't testing it.
- Fix most compile warnings that occur when building rinterface.c
The remaining build warning I get is:
Nathaniel Smith wrote:
> I tracked down that strange "unresolved symbol" error I was getting.
> It turns out that rpy2 tip includes a reference to R_ProcessEvents
> unconditionally, but in fact R_ProcessEvents is not a portable API.
> R_ProcessEvents only exists on Win32 and OS X/Aqua builds of R.
Nathaniel Smith wrote:
> There are several times in R when it is valuable to explicitly leave
> an argument missing. For example, when extracting a row from a matrix:
>
>> m <- matrix(1:4, nrow=2)
>> m[2] # Flat indexing
> [1] 2
>> m[2, ] # Note the comma!
> [1] 2 4
>
> However, there is curren
Michael Held wrote:
> hi folks,
>
> coming from rpy I was wondering why rpy2 is trying to make so much
> overhead. I was used to a convenient way of using R from Python, but the
> use of robjects.FloatVector([]) and co in rpy2 is blowing up my code.
> what is the reason for that?
The choice rpy2.
Thanks for your patch.
I had to replace in test_SexpVectorNumeric.py
nx.typecode()
by
nx.dtype.kind
I am not using numpy as much as as use other packages, but I think that
typecode() was coming from Numeric and is disappearing.
I am patching the tip, and will likely backport this to the branch
Nice.
What about calling the method __copy__ instead (so it fits other Python
objects) ?
L.
Nathaniel Smith wrote:
> The attached patch adds a method ".duplicate" to rinterface.Sexp
> objects. When called, it returns a new Sexp that is identical to the
> first, but shares no memory with the fi
It turned out that a stale PYTHONPATH was getting an older version of
rpy2 when running it on my end.
So much for the cross-platform unifying bit. :/
Now the tip should build and run on Linux.
Thanks for following the bitbucket tip.
L.
Laurent Gautier wrote:
> Nathaniel Smith wrote:
>> I trac
On Sun, Feb 8, 2009 at 6:13 AM, Laurent Gautier wrote:
> Nice.
>
> What about calling the method __copy__ instead (so it fits other Python
> objects) ?
I don't really care either way. I guess calling it "duplicate" avoids
any question of whether it should be __copy__ or __deepcopy__, but
since it
On Sun, Feb 8, 2009 at 2:22 AM, Laurent Gautier wrote:
> In the case of extracting elements from a matrix, there is a way
> (working in R, as well as in rpy2):
>
> m[2, TRUE] # Note the TRUE !
> [1] 2 4
Ah, cute trick, thanks.
> I'd be more keen on defining the missing magic, as well as NULL and
On Sun, Feb 8, 2009 at 2:01 PM, Laurent Gautier wrote:
> It turned out that a stale PYTHONPATH was getting an older version of rpy2
> when running it on my end.
> So much for the cross-platform unifying bit. :/
>
> Now the tip should build and run on Linux.
It does work for me, though my internal
I tracked down that build error I've mentioned a few times with the
new graphics device code -- it's an R 2.7 vs. R 2.8 compatibility bug.
In 2.8, pDevDesc is (DevDesc *), but in 2.7 it's (NewDevDesc *), and
so trying to malloc a DevDesc doesn't work in 2.7, you need to malloc
a NewDevDesc instead.
Currently, the following generates an exception:
>>> s = ri.SexpVector([1, 2, 3, 4], ri.INTSXP)
>>> s.do_slot_assign("dim", ri.SexpVector([2, 2], ri.INTSXP)
The issue is that s has no "dim" attribute to start off with, and
do_slot_assign's implementation checks R_has_slot and errors out if it
ret
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