Hi list,
I'm working on an application in which I'd like to use RPy2 to port a
large amount of data from Python to R for analysis. However, I'm not
sure how to accomplish this without creating a growing process. As an
example, the following script is crashing with a "MemoryError" on my box
after about 10 iterations. I'm running Windows XP SP2, Python 2.5.2, R
2.8.1 and RPy2 2.0.3. Is this due to a memory leak, or is there another
way to delete the R/Python objects that seem to be accumulating?
Thanks for your help,
John
from rpy2 import robjects
import gc
i = 0
while True:
print(i)
i += 1
robjects.globalEnv['x'] = robjects.FloatVector(range(10000000))
robjects.r('rm(x)')
gc.collect()
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