On Sat, Apr 23, 2011 at 9:58 AM, Till Stensitzki <mail.t...@gmx.de> wrote: > >> Do you also have an earlier version of numpy installed? As David says, this >>should raise an error for recent numpy and >>I'm wondering if you are inadvertently >>running an earlier version.Chuck > > > I only have one python installation and > numpy.__version__ shows 1.6b. > I could reinstall numpy, if it would help. > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
Hi, I can get this with 64-bit Win 7, 32-bit Python 2.6, 2.7 (below) and 3.1 and numpy 1.6b (fresh install) IDLE and the command line. I can also confirm the 'ValueError' with Python2.6 and numpy 1.51 on the same system. Actually this is 'weird' when printing and crashed with the range - accessing unassigned memory? A smaller array gives an numpy error or memory error in idle. Bruce >>> import numpy as np >>> x=np.zeros((262144, 262144)) >>> x array([], shape=(262144, 262144), dtype=float64) >>> x[0,0] 2.1453735050108555e-314 >>> x[1:10,1:10] >>> ================================ RESTART ================================ >>> import numpy as np >>> x=np.zeros((26214, 26214)) Traceback (most recent call last): File "<pyshell#7>", line 1, in <module> x=np.zeros((26214, 26214)) ValueError: array is too big. >>> >>> x=np.zeros((262144, 26214)) Traceback (most recent call last): File "<pyshell#8>", line 1, in <module> x=np.zeros((262144, 26214)) MemoryError _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion