Robert is right, you can always implement your own function.
What version of numpy and Python are you using ?
There may be something you can add to your numpy installation related to
the old Numeric support which I believe is now deprecated.
Raul
On 25/02/2014 4:28 AM, Robert Kern wrote:
>
On 02/25/2014 09:41 AM, Alexander Belopolsky wrote:
> That's not true about Python core and stdlib. Python developers strive
> to maintain backward compatibility and any instance of newer python
> failing to read older pickles would be considered a bug. This is even
> true across 2.x / 3.x line.
On Tue, Feb 25, 2014 at 4:41 PM, Alexander Belopolsky wrote:
>
> On Tue, Feb 25, 2014 at 11:29 AM, Benjamin Root wrote:
>>
>> I seem to recall reading somewhere that pickles are not intended to be
>> long-term archives as there is no guarantee that a pickle made in one
>> version of python would
On Tue, Feb 25, 2014 at 5:41 PM, Alexander Belopolsky wrote:
>
> On Tue, Feb 25, 2014 at 11:29 AM, Benjamin Root wrote:
>>
>> I seem to recall reading somewhere that pickles are not intended to be
>> long-term archives as there is no guarantee that a pickle made in one
>> version of python would
On Tue, Feb 25, 2014 at 11:29 AM, Benjamin Root wrote:
> I seem to recall reading somewhere that pickles are not intended to be
> long-term archives as there is no guarantee that a pickle made in one
> version of python would work in another version, much less between
> different versions of the
Just to echo this sentiment a bit. I seem to recall reading somewhere that
pickles are not intended to be long-term archives as there is no guarantee
that a pickle made in one version of python would work in another version,
much less between different versions of the same (or similar) packages.
B
On Tue, Feb 25, 2014 at 8:19 AM, Chris wrote:
> I have some old code that uses cPickle.loads which used to work, but now
> reports an error in loading the module Numeric. Since Numeric has been
> replaced by numpy, this makes sense, but, how can I get cPickle.loads to
> work? I tested the code aga
Hi,
Le 25/02/2014 09:19, Chris a écrit :
> I have some old code that uses cPickle.loads which used to work, but now
> reports an error in loading the module Numeric. Since Numeric has been
> replaced by numpy, this makes sense, but, how can I get cPickle.loads to
> work? I tested the code again on
I have some old code that uses cPickle.loads which used to work, but now
reports an error in loading the module Numeric. Since Numeric has been
replaced by numpy, this makes sense, but, how can I get cPickle.loads to
work? I tested the code again on an older machine and it works fine
there, but, I'
