Sebastian Haase wrote:
> Hi,
> there is a way of doing this. As far as I know, you have to create
> your own "version of numpy arrays". E. g. try this:
> class myNumpy(numpy.ndarray):
> pass
>
> Then creating an instance as in
> a = myNumpy(otherNumpyArray)
>
> would make `a` behave just like
On Tuesday 16 October 2007 11:47:35 Sebastian Haase wrote:
> Hi,
> there is a way of doing this. As far as I know, you have to create
> your own "version of numpy arrays". E. g. try this:
...
> Be carefull that some (many / most ?) operations on that array will
> return you a normal numpy array aga
Hi,
there is a way of doing this. As far as I know, you have to create
your own "version of numpy arrays". E. g. try this:
class myNumpy(numpy.ndarray):
pass
Then creating an instance as in
a = myNumpy(otherNumpyArray)
would make `a` behave just like any other array, except that you CAN
atta
Hi,
I'm wondering whether i can re-write the following idiom with numpy arrays:
for i in some_list:
i.some_attr = some_value
it would be wonderful if one was able to write this idiom as
arr[just_these].some_attr = some_value
or
setattr(arr[just_these], 'some_attr', some_value)
since often e
