;[EMAIL PROTECTED]
> <mailto:[EMAIL PROTECTED]>> wrote:
>
> Tim Hirzel wrote:
>
> >Good thought Chris,
> >Normal reading and writing does seem to work. ..
> >But, my friend Daniel figured out a workaround when I asked to
> confirm
>
sing 'f.file' would work on linux too in terms of having a
single cross-platform solution.
cheers,
tim
Christopher Barker wrote:
> did you try reading and writing to/from that temp file with regular old
> python functions?
>
> -Chris
>
>
> Tim Hirzel wrote:
> I'm running linux and the current svn version of numpy. Maybe the
> problem is with the tempfile module on windows. Do fromfile and tofile
> work for files opened normally?
>
> Chuck
fromfile and tofile work fine on regular files. From skimming the code
a bit, it's hard to imagine numpy cod
Hi Chuck,
Thanks for checking that. I am running numpy 1.0.1 in python 2.4 on
win32 (xp). Are you on linux? I double checked the behavior in 1.0
and 1.0.1, just to be extra sure, and it thows the IOError in both cases.
tim
Charles R Harris wrote:
>
>
> On 12/11/06, *Tim Hirzel
Hi,
Does anyone know how to get fromfile and tofile to work from a
tempfile.TemporaryFile? Or if its not possible?
I am getting this:
>>> import tempfile
>>> f = tempfile.TemporaryFile()
>>> f
', mode 'w+b' at 0x01EE1728>
>>> a = numpy.arange(10)
>>> a.tofile(f)
Traceback (most recent call
Excellent. That explains it.
thank you Robert,
tim
Robert Kern wrote:
> Tim Hirzel wrote:
>
>> Thanks Robert.
>> That makes more sense now. Although I am still a little puzzled by the
>> equality behavior of an array. for example:
>>
>> >>> a
None, 5], dtype=object)
>>> b == 4
array([False, False], dtype=bool)
What determines if an array tests for equality as the entire array or
element-wise?
thanks again,
tim
Robert Kern wrote:
> Tim Hirzel wrote:
>
>> Does this seem odd to anyone else? I am not sure abo
Hi All,
When a list contains a numpy array and I want to see if a value is a
member of that list, I can get a value error from numpy:
>>> import numpy
>>> numpy.__version__
'1.0'
>>> a = numpy.arange(10)
>>> L = [a]
>>> a in L
True
>>> 2 in L
Traceback (most recent call last):
File "", lin
