numpy: handling float('NaN') different in XP vs. Linux

[John [H2O]]

I have a script:

from numpy import float
OutD=[]
v=['3','43','23.4','NaN','43']
OutD.append([float(i) for i in v[1]])


On linux:
Python 2.5.1 (r251:54863, Mar  7 2008, 04:10:12)
[GCC 4.1.3 20070929 (prerelease) (Ubuntu 4.1.2-16ubuntu2)] on linux2
[john at andLinux analysis]$ python jnk.py
[[3.0, 43.0, 23.399999999999999, nan, 43.0]]

On XP:
Python 2.5 (r25:51908, Mar  9 2007, 17:40:28) [MSC v.1310 32 bit (Intel)]
Microsoft Windows XP [Version 5.1.2600]
(C) Copyright 1985-2001 Microsoft Corp.

C:\analysis>C:\Python25\python.exe jnk.py
Traceback (most recent call last):
  File "jnk.py", line 4, in <module>
    OutD.append([float(i) for i in v])
ValueError: invalid literal for float(): NaN


WTF?
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