I found something similar, with a very simple example. On 64-bit linux, python 2.7.2, numpy development version:
In [22]: a = 4000*np.ones((1024,1024),dtype=np.float32) In [23]: a.mean() Out[23]: 4034.16357421875 In [24]: np.version.full_version Out[24]: '2.0.0.dev-55472ca' But, a Windows XP machine running python 2.7.2 with numpy 1.6.1 gives: >>>a = np.ones((1024,1024),dtype=np.float32) >>>a.mean() 4000.0 >>>np.version.full_version '1.6.1' On Tue, 2012-01-24 at 17:12 -0600, eat wrote: > Hi, > > > > Oddly, but numpy 1.6 seems to behave more consistent manner: > > > In []: sys.version > Out[]: '2.7.2 (default, Jun 12 2011, 15:08:59) [MSC v.1500 32 bit > (Intel)]' > In []: np.version.version > Out[]: '1.6.0' > > > In []: d= np.load('data.npy') > In []: d.dtype > Out[]: dtype('float32') > > > In []: d.mean() > Out[]: 3045.7471999999998 > In []: d.mean(dtype= np.float32) > Out[]: 3045.7471999999998 > In []: d.mean(dtype= np.float64) > Out[]: 3045.747251076416 > In []: (d- d.min()).mean()+ d.min() > Out[]: 3045.7472508750002 > In []: d.mean(axis= 0).mean() > Out[]: 3045.7472499999999 > In []: d.mean(axis= 1).mean() > Out[]: 3045.7472499999999 > > > Or does the results of calculations depend more on the platform? > > > > > My 2 cents, > eat -- -------------------------------------------------- Kathleen M. Tacina NASA Glenn Research Center MS 5-10 21000 Brookpark Road Cleveland, OH 44135 Telephone: (216) 433-6660 Fax: (216) 433-5802 --------------------------------------------------
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