On Thu, Apr 5, 2012 at 11:57 AM, Olivier Delalleau wrote:
> Le 5 avril 2012 11:45, Neal Becker a écrit :
>
> You can do:
>
> f = numpy.frompyfunc(lambda x: x.some_attribute == 0, 1, 1)
>
> Then
> f(array_of_objects_x)
This is handy too:
agetattr = numpy.frompyfunc(getattr, 2, 1)
array_of_value
On Mon, Sep 13, 2010 at 10:24 PM, David Goldsmith
wrote:
> I.e., I'd, at minimum, like to globally replace
>
> get(Handel, 'Property')
>
> with
>
> object.Property
>
> and
>
> set(Handel, 'Property', value)
>
> with
>
> object.Property = value
>
> to an arbitrary level of composition.
Both struct
On Fri, Aug 27, 2010 at 4:17 PM, Robert Kern wrote:
> On Fri, Aug 27, 2010 at 15:10, Ken Watford wrote:
>> On Fri, Aug 27, 2010 at 3:58 PM, Brett Olsen wrote:
>>> Hello,
>>>
>>> I have an array of non-numeric data, and I want to create a boolean
>>>
On Fri, Aug 27, 2010 at 3:58 PM, Brett Olsen wrote:
> Hello,
>
> I have an array of non-numeric data, and I want to create a boolean
> array denoting whether each element in this array is a "valid" value
> or not. This is straightforward if there's only one possible valid
> value:
import num
On Fri, Aug 20, 2010 at 3:25 PM, David Goldsmith
wrote:
> Hi! Please forgive the re-post: I forgot to change the subject line
> and I haven't seen a response to this yet, so I'm assuming the former
> might be the cause of the latter. My question follows the quoted
> posts. Thanks!
>
> *snip*
>
2010/7/30 Guillaume Chérel :
> Hello,
>
> I ran into a difficulty with floating point arithmetic in python. Namely
> that:
>
> >>> 0.001 + 1 - 1
> 0.00088987
>
> And, as a consequence, in python:
>
> >>> 0.001 + 1 - 1 == 0.001
> False
>
> In more details, my problem is that I have a
2010/7/28 脑关生命科学仪器 :
> it seems like pytable only support HDF5. I had some 500GB numerical arrays
> to process. Pytable claims to have some advance feature to enhance
> processing speed and largely reduce physical memory requirement. However, I
> do not wanna touch the raw data I had. Simply becaus
That's an excellent point.
I've noticed on my (Linux) workstation that pymex works fine, but
PyCUDA fails to import properly, because PyCUDA is a Boost::Python
project and expects a different libstdc++ than the one that MATLAB
jams into its LD_LIBRARY_PATH. (I got around this using an evil
LD_PRELO
