Faisal Moledina wrote:
> Hello Laurent,
>
> I've attached a minimal example. Removing the comment at line 69, which reads:
> pp=pp+ggplot2.geom_line(datafline,ggplot2.aes_string(x='z',y='dens'))
That's more an issue with ggplot2 than with rpy2.
What I meant earlier is the following:
pp += ggplot2.geom_line(ggplot2.aes_string(x='z',y='dens'),
data=datafline)
It is working here (rpy2-2.1dev -- note: your code revealed a bug with
rpy2.robjects, so you might need a very recent update from the repository).
L.
> results in the following output from iPython:
> ----------------x----------------
> Error: ggplot2 doesn't know how to deal with data of class uneval
> ---------------------------------------------------------------------------
> RRuntimeError Traceback (most recent call last)
>
> /xxx/plot_reject_example.py in <module>()
> 73
> 74 if __name__ == '__main__':
> ---> 75 pp=main()
> 76 pp.plot()
> 77
>
> /xxx/plot_reject_example.py in main()
> 67
> 68 ## Use one of the following lines to draw the line graph.
> Either one currently results in failure
>
> ---> 69
> pp=pp+ggplot2.geom_line(datafline,ggplot2.aes_string(x='z',y='dens'))
> 70
> #pp=pp+ggplot2.geom_line(data=datafline,ggplot2.aes_string(x='z',y='dens'))
>
> 71
>
> /opt/local/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/rpy2-2dev_20091103-py2.6-macosx-10.6-i386.egg/rpy2/robjects/lib/ggplot2.pyc
> in new(*args, **kwargs)
> 93 args_list = list(args)
> 94 cls = args_list.pop(0)
> ---> 95 res = cls(cls._constructor(*args_list, **kwargs))
> 96 return res
> 97
>
> /opt/local/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/rpy2-2dev_20091103-py2.6-macosx-10.6-i386.egg/rpy2/robjects/functions.pyc
> in __call__(self, *args, **kwargs)
> 75 v = kwargs.pop(k)
> 76 kwargs[r_k] = v
> ---> 77 return super(SignatureTranslatedFunction,
> self).__call__(*args, **kwargs)
> 78
> 79
>
> /opt/local/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/rpy2-2dev_20091103-py2.6-macosx-10.6-i386.egg/rpy2/robjects/functions.pyc
> in __call__(self, *args, **kwargs)
> 33 for k, v in kwargs.iteritems():
> 34 new_kwargs[k] = conversion.py2ri(v)
> ---> 35 res = super(Function, self).__call__(*new_args, **new_kwargs)
> 36 res = conversion.ri2py(res)
> 37 return res
>
> RRuntimeError: Error: ggplot2 doesn't know how to deal with data of class
> uneval
>
> WARNING: Failure executing file: <plot_reject_example.py>
> ----------------x----------------
>
> Removing the comment at line 70, which reads:
> pp=pp+ggplot2.geom_line(data=datafline,ggplot2.aes_string(x='z',y='dens'))
>
> results in the following output from iPython:
> ----------------x----------------
> ------------------------------------------------------------
> File "plot_reject_example.py", line 70
>
> pp=pp+ggplot2.geom_line(data=datafline,ggplot2.aes_string(x='z',y='dens'))
> SyntaxError: non-keyword arg after keyword arg
>
> WARNING: Failure executing file: <plot_reject_example.py>
> ----------------x----------------
>
> What do you think? What is type uneval? Thank you.
>
> Faisal
>
> On Sat, Nov 28, 2009 at 4:05 AM, Laurent Gautier <lgaut...@gmail.com> wrote:
>> Faisal,
>>
>> At first sight the difference between your R code and your rpy2 code for
>> geom_line is that you pass the data.frame zfunc with a name
>> ( data = zfunc ) with R, and without with rpy2.
>>
>> Without the complete Python traceback or a standalone example (off-list, if
>> you are more comfortable to do so because of the data), it might be hard to
>> tell more.
>>
>>
>> L.
>>
>>
>>
>>
>> Faisal Moledina wrote:
>>> Hello everyone,
>>>
>>> I'm trying to port the following R code to rpy2:
>>>
>>>
>>> plots<-ggplot(pz_r,aes(x=z))+geom_histogram(aes(y=..density..),binwidth=bw)+geom_line(data=zfunc,aes(x=z,y=dens))
>>>
>>> where pz_r is a data frame of observations of the random variable z,
>>> and zfunc is a data frame with the probability density function (z and
>>> dens). Currently, I've been able to port the histogram more or less
>>> using:
>>>
>>>
>>> pp=ggplot2.ggplot(pz_r)+ggplot2.aes_string(x='z')+ggplot2.geom_histogram(ggplot2.aes_string(y='..density..'),binwidth=bw)
>>>
>>> However, I'm not sure how to get geom_line() to use the zfunc data frame:
>>>
>>> pp=pp+ggplot2.geom_line(zfunc,ggplot2.aes_string(x='z',y='dens'))
>>> I get
>>> Error: ggplot2 doesn't know how to deal with data of class uneval
>>>
>>> I'm using rpy2 2.1.0dev. Help with this would be much appreciated. Thank
>>> you.
>>>
>>> Faisal Moledina
>>>
>>>
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