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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