Nathaniel Smith wrote:
> On Mon, Mar 23, 2009 at 5:43 AM, Laurent Gautier wrote:
>> The magic "R" for ipython (among others) is a very nice idea. Having a way
>> to switch between Python and R in interactive mode was one of the cool
>> things I wished to have.
>
> I find it ridiculously handy in
Nathaniel Smith wrote:
> On Mon, Mar 23, 2009 at 5:31 PM, Brandon Invergo
> wrote:
>> The data is loaded as expected, but when I try to
>> print the output to the console, only a portion of the data.frame is
>> printed (~65000 characters), presumably because it reached the maximum
>> string size,
On Mon, Mar 23, 2009 at 5:31 PM, Brandon Invergo
wrote:
> The data is loaded as expected, but when I try to
> print the output to the console, only a portion of the data.frame is
> printed (~65000 characters), presumably because it reached the maximum
> string size, and then a seemingly-unrelated
Hello,
I'm enjoying the fun (self-imposed) task of learning Python, RPy2 and
PyGTK all in one go, so this question may be partly due to my general
status as a newbie. My application will have an embedded console in it.
Everything is generally working nicely, however I've noticed that if I
load a p
On Mon, Mar 23, 2009 at 5:43 AM, Laurent Gautier wrote:
> The magic "R" for ipython (among others) is a very nice idea. Having a way
> to switch between Python and R in interactive mode was one of the cool
> things I wished to have.
I find it ridiculously handy in practice. (It also made my advis
I'd like to propose that we add a new low-level API to R_tryEval to
rpy2.rinterface. This would be lower-level than the existing
.__call__, .rcall methods, and have the following parts:
* rpy2.rinterface.tryEval (or whatever): a function that takes an
expression rinterface.Sexp, and an environment
On Mon, Mar 23, 2009 at 4:59 AM, Gary Strangman
wrote:
>
> The rnumpy concept looks great, and addresses some annoyances I've
> encountered working at the interface between R and numpy.
Great!
> I hope to test
> rnumpy this week, but in the meantime ... the text suggests that R data
> frames can
Lindsey,
The documentation is indeed missing an explicit example.
Try:
import rpy2.robjects as ro
import rpy2.rlike.container as rlc
tl = rlc.TaggedList((ro.IntVector((1,)),
ro.IntVector((2,))),
tags = ('a', 'b'))
df = ro.RDataFrame(tl)
A TaggedList
Please could I ask someone for a simple example on how to use tagged lists or
to create a R dataframe. I specifically need this in order to preserve the
order in which variables are added to a data frame.
I have fiddled with little success. Any example would be appreciated.
Thanks
Lindsey
--
Nathaniel Smith wrote:
> I finally had a chance to write up some quick documentation, so I
> pushed out a copy of my enhanced Python->R API for feedback.
Great !
> This is an alternative to the rpy2.robjects API (it still depends on
> rpy2.rinterface version 2.0.3, plus it needs numpy to be insta
The rnumpy concept looks great, and addresses some annoyances I've
encountered working at the interface between R and numpy. I hope to test
rnumpy this week, but in the meantime ... the text suggests that R data
frames can be manipulated/sliced using rnumpy. Can they be created
directly as wel
I finally had a chance to write up some quick documentation, so I
pushed out a copy of my enhanced Python->R API for feedback.
This is an alternative to the rpy2.robjects API (it still depends on
rpy2.rinterface version 2.0.3, plus it needs numpy to be installed),
and is subject to change. But I'v
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