Tyler Erickson wrote:
> I am trying to read in a R-formatted datafile using RPy. When I read in
> the file using R and display the data, the column headers are included.
>
> $ R
>> attach(".RDatalongrun",pos=2)
>> dat<-get("longrun",pos=2)
>> dat[1:5,1:9]
> time index lat lon agl grdht foot sampt temp0
> [1,] -60 1 45.7993 -90.4651 220.1694 496.0374 0.1794837 51.8537 296.35
> [2,] -60 2 45.7283 -90.7861 1187.4362 366.4808 0.0025203 0.7241 296.77
> [3,] -60 3 45.7782 -90.5021 237.6977 496.0374 0.1530388 44.1661 296.39
> [4,] -60 4 45.7706 -90.5811 976.4551 496.0374 0.1043193 30.1000 296.35
> [5,] -60 5 45.8013 -90.4390 55.8362 496.0374 0.2078631 60.0000 296.30
>
>
> However, I can't figure out how to determine the column headers when I
> read in the same file with RPy.
>
> $ python
> Python 2.5.2 (r252:60911, Oct 5 2008, 19:24:49)
> [GCC 4.3.2] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
>>>> from rpy import *
>>>> f = r.attach('.RDatalongrun',pos=2)
>>>> dat = r.get("longrun",pos=2)
You'll most likely have to switch to the NO_CONVERSION mode before
calling r.get(), then you'll be able to call r.colnames() on the
resulting object.
rpy2 could be making things easier, here with an example from the dev
version:
http://rpy.sourceforge.net/rpy2/doc-dev/html/robjects.html#names
L.
>>>> type(dat)
> <type 'numpy.ndarray'>
>>>> dat[0:4,1:8]
> array([[ 1.00000000e+00, 4.57993000e+01, -9.04651000e+01,
> 2.20169400e+02, 4.96037400e+02, 1.79483700e-01,
> 5.18537000e+01],
> [ 2.00000000e+00, 4.57283000e+01, -9.07861000e+01,
> 1.18743620e+03, 3.66480800e+02, 2.52030000e-03,
> 7.24100000e-01],
> [ 3.00000000e+00, 4.57782000e+01, -9.05021000e+01,
> 2.37697700e+02, 4.96037400e+02, 1.53038800e-01,
> 4.41661000e+01],
> [ 4.00000000e+00, 4.57706000e+01, -9.05811000e+01,
> 9.76455100e+02, 4.96037400e+02, 1.04319300e-01,
> 3.01000000e+01]])
>
>
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