Hello all,
I'm new to the list and I'm hoping I might be able to find help for a very
mysterious failure within the RPY2 code base. I am converting a python
dictionary of arrays into an R DataFrame. The conversion works fine when I run
the code from iPython command line. However, when I run exactly the same code
within a Django session it fails without an error message. It just exits the
__init__ method.
I have used Eclipse Debug to find the exact line of failure and it is the
following line
df = baseenv_ri.get("data.frame").rcall(kv, globalenv_ri)
in __init__() of rpy2.robjects.vectors.DataFrame.
I've copied the __init__ at the bottom of the email from
rpy2.objects.vectors.DataFrame for reference.
I have been able to user other classes/methods within the rpy2.robjects.vector
in both Django and the command line to convert vectors, arrays, lists, etc....
It is only DataFrame that I've discovered an issue and its only when called
from a Django session. Once again, command line works fine.
I have confirmed multiple times that the Django interpreter is the same as my
command line interpreter. I am using python 2.6.6 32-bit and R version 2.12
and rpy2-2.1.9_20101221-py2.6-macosx-10.5-i386.egg (though I am on snow
leopard).
It is a very strange issue because I can only recreate the issue in a Django
runserver session (it even works fine in a python manage.py -shell session).
And it does not provide any error. It simply fails at this line and exits the
__init__.
Does anybody have any insight into what might cause this? Its such a peculiar
issue I don't even know where to start debugging the rpy2 code. Any thoughts?
Thanks in advance.
Henry
def __init__(self, tlist):
""" Create a new data frame.
:param tlist: rpy2.rlike.container.TaggedList or
rpy2.rinterface.SexpVector (and of class 'data.frame' for R)
"""
if isinstance(tlist, rlc.TaggedList):
df = baseenv_ri.get("data.frame").rcall(tlist.items(), globalenv_ri)
super(DataFrame, self).__init__(df)
elif isinstance(tlist, rinterface.SexpVector):
if tlist.typeof != rinterface.VECSXP:
raise ValueError("tlist should of typeof VECSXP")
if not globalenv_ri.get('inherits')(tlist, self._dataframe_name)[0]:
raise ValueError('tlist should of R class "data.frame"')
super(DataFrame, self).__init__(tlist)
elif isinstance(tlist, dict):
kv = [(k, conversion.py2ri(v)) for k,v in tlist.iteritems()]
kv = tuple(kv)
df = baseenv_ri.get("data.frame").rcall(kv, globalenv_ri)
super(DataFrame, self).__init__(df)
else:
raise ValueError("tlist can be either "+
"an instance of rpy2.rlike.container.TaggedList," +
" or an instance of rpy2.rinterface.SexpVector" +
" of type VECSXP, or a Python dict.")
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