Hi I don't think it is a python issue because if you change the line b = str(a) to just read str(a) then the problem still occurs.
Also, if you change a to be a list instead of ndarray then the problem does not occur. Cheers Robert On 10/26/07, Matthew Brett <[EMAIL PROTECTED]> wrote: > > Hi, > > > I seem to have tracked down a memory leak in the string conversion > mechanism > > of numpy. It is demonstrated using the following code: > > > > import numpy as np > > > > a = np.array([1.0, 2.0, 3.0]) > > while True: > > b = str(a) > > Would you not expect python rather than numpy to be dealing with the > memory here though? > > Matthew > _______________________________________________ > Numpy-discussion mailing list > [email protected] > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
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