That part of the documentation should apply to 2.0.8 http://rpy.sourceforge.net/rpy2/doc-2.1/html/performances.html#memory-usage
Manual invocation of the garbage collector is sometimes needed. Example of a discussion around that: http://stackoverflow.com/questions/1740394/python-behavior-of-the-garbage-collector L. PS: rpy2 under MSWindows is not very well supported. On 08/01/11 20:34, Anup Parikh wrote: > seems like this is a problem with large datasets and rpy2. The python > code will fail, the R will not. > If I reduce the data size to 5000000, both snippets will work. > > ===python code run in IDLE=== > import os > os.environ['R_HOME'] = 'C:/Users/anup/Documents/red/develop/R/R-2.9.2' > import rpy2.robjects as rpy2 > > count = 200 > for x in range(count): > print 'round' , x > rpy2.r('a<-rnorm(50000000)') > rpy2.r('gc()') > > ===ERROR=== > rpy2.r('a<-rnorm(50000000)') > File "C:\Python26\lib\site-packages\rpy2\robjects\__init__.py", line > 536, in __call__ > res = self.eval(p) > File "C:\Python26\lib\site-packages\rpy2\robjects\__init__.py", line > 423, in __call__ > res = super(RFunction, self).__call__(*new_args, **new_kwargs) > RRuntimeError: Error: cannot allocate vector of size 381.5 Mb > > > > ==R code run in windows RGui.exe== > for( x in 1:200){ > print(x) > a<-rnorm(50000000) > gc() > } > > Any suggestions?? > > Thanks, > Anup > > > On Sun, Jan 2, 2011 at 11:13 PM, Anup Parikh<anup.par...@gmail.com> wrote: >> I am using rpy2.0.8 on windows and finding that the following script >> keeps taking memory as it processes the loop. since the call to rnorm >> is never assigned, i'm not sure how to release the memory? Is this a >> bug in 2.0.8? Any suggestions would be helpful. >> >> >> import os >> os.environ['R_HOME'] = 'C:/Users/anup/Documents/red/develop/R/R-2.9.2' >> import rpy2.robjects as rpy2 >> >> for x in range(20): >> rpy2.r('rnorm(50000000)') >> rpy2.r('gc()') >> >> >> Thanks, >> Anup >> > > ------------------------------------------------------------------------------ > Gaining the trust of online customers is vital for the success of any company > that requires sensitive data to be transmitted over the Web. Learn how to > best implement a security strategy that keeps consumers' information secure > and instills the confidence they need to proceed with transactions. > http://p.sf.net/sfu/oracle-sfdevnl > _______________________________________________ > rpy-list mailing list > rpy-list@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/rpy-list ------------------------------------------------------------------------------ Gaining the trust of online customers is vital for the success of any company that requires sensitive data to be transmitted over the Web. Learn how to best implement a security strategy that keeps consumers' information secure and instills the confidence they need to proceed with transactions. http://p.sf.net/sfu/oracle-sfdevnl _______________________________________________ rpy-list mailing list rpy-list@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/rpy-list
