On Sat, Apr 23, 2011 at 9:58 AM, Till Stensitzki <mail.till@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.
>
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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

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