Pauli :
Thanks for your reply. Using 'wb' instead of 'w' for the file mode
evidently makes this problem go away.
The mystery is that why does this work with plain lists *and* 'w' and
not with numpy arrays and 'w'. In other words, why is it that
numpy.array needs the binary mode while list does
On Thu, Nov 5, 2009 at 14:11, Reckoner recko...@gmail.com wrote:
Pauli :
Thanks for your reply. Using 'wb' instead of 'w' for the file mode
evidently makes this problem go away.
The mystery is that why does this work with plain lists *and* 'w' and
not with numpy arrays and 'w'. In other
Thu, 05 Nov 2009 12:11:32 -0800, Reckoner wrote:
Pauli :
Thanks for your reply. Using 'wb' instead of 'w' for the file mode
evidently makes this problem go away.
The mystery is that why does this work with plain lists *and* 'w' and
not with numpy arrays and 'w'. In other words, why is it
Here's an example:
On winxp 64-bit:
Python 2.5.2 (r252:60911, Feb 21 2008, 13:11:45) [MSC v.1310 32 bit (Intel)] on
win32
Type help, copyright, credits or license for more information.
import numpy
import cPickle
a = numpy.eye(10)
cPickle.dump(a,open('from32bitxp.pkl','w'))
import
On Wed, Nov 4, 2009 at 7:06 AM, Reckoner recko...@gmail.com wrote:
Here's an example:
On winxp 64-bit:
Python 2.5.2 (r252:60911, Feb 21 2008, 13:11:45) [MSC v.1310 32 bit
(Intel)] on
win32
Type help, copyright, credits or license for more information.
import numpy
import cPickle
a =
Thanks for your reply.
No. I just tried it with the latest Windows XP 32-bit version
Python 2.5.1 (r251:54863, Apr 18 2007, 08:51:08) [MSC v.1310 32 bit (Intel)] on
win32
Type help, copyright, credits or license for more information.
import numpy
numpy.__version__
'1.3.0'
Same result on the
On Wed, Nov 4, 2009 at 8:06 AM, Reckoner recko...@gmail.com wrote:
Here's an example:
On winxp 64-bit:
Python 2.5.2 (r252:60911, Feb 21 2008, 13:11:45) [MSC v.1310 32 bit (Intel)]
on
win32
Type help, copyright, credits or license for more information.
import numpy
import cPickle
a =
Bruce :
The file in question was created as shown in the prior e-mail. Here it is again:
cPickle.dump(a,open('from32bitxp.pkl','w'))
Thanks!
On Wed, Nov 4, 2009 at 3:56 PM, Bruce Southey bsout...@gmail.com wrote:
On Wed, Nov 4, 2009 at 8:06 AM, Reckoner recko...@gmail.com wrote:
Here's an
FYI, I uploaded the two files in question to the numpy ticket
http://projects.scipy.org/numpy/ticket/1284
Thanks!
On Wed, Nov 4, 2009 at 3:56 PM, Bruce Southey bsout...@gmail.com wrote:
On Wed, Nov 4, 2009 at 8:06 AM, Reckoner recko...@gmail.com wrote:
Here's an example:
On winxp
On Mon, Nov 2, 2009 at 6:31 PM, Reckoner recko...@gmail.com wrote:
thanks for the suggestion! I will look into it. The other thing is
that the numpy arrays in question are actually embedded in another
object. When I convert the numpy arrays into plain lists, and then
cPickle them, there is no
Anybody have any ideas here?
Otherwise, I'm thinking this should be posted to the numpy bugs list.
What's the best way to report a bug of this kind?
Thanks!
On Fri, Oct 30, 2009 at 5:48 PM, Reckoner recko...@gmail.com wrote:
Robert Kern wrote:
You can import numpy.core.multiarray on both
On Mon, Nov 2, 2009 at 15:42, Reckoner recko...@gmail.com wrote:
Anybody have any ideas here?
Nope!
Otherwise, I'm thinking this should be posted to the numpy bugs list.
What's the best way to report a bug of this kind?
Create a new ticket on the Trac:
http://projects.scipy.org/numpy/
If
On Mon, Nov 2, 2009 at 2:42 PM, Reckoner recko...@gmail.com wrote:
Anybody have any ideas here?
Otherwise, I'm thinking this should be posted to the numpy bugs list.
What's the best way to report a bug of this kind?
Thanks!
On Fri, Oct 30, 2009 at 5:48 PM, Reckoner recko...@gmail.com
thanks for the suggestion! I will look into it. The other thing is
that the numpy arrays in question are actually embedded in another
object. When I convert the numpy arrays into plain lists, and then
cPickle them, there is no problem with any of the larger objects. That
is the way we are
Hi,
% python -c 'import numpy.core.multiarray'
works just fine, but when I try to load a file that I have transferred
from another machine running Windows to one running Linux, I get:
% python -c 'import cPickle;a=cPickle.load(open(matrices.pkl))'
Traceback (most recent call last):
File
On Fri, Oct 30, 2009 at 13:13, Reckoner recko...@gmail.com wrote:
Hi,
% python -c 'import numpy.core.multiarray'
works just fine, but when I try to load a file that I have transferred
from another machine running Windows to one running Linux, I get:
% python -c 'import
Robert Kern wrote:
You can import numpy.core.multiarray on both machines?
Yes. For each machine separately, you can cPickle files with numpy
arrays without problems loading/dumping. The problem comes from
transferring the win32 cPickle'd files to Linux 64 bit and then trying
to load them.
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