Bill Blinn skrev:
> v = multiview((3, 4))
> #the idea of the following lines is that the 0th row of v is
> #a view on the first row of a. the same would hold true for
> #the 1st and 2nd row of v and the 0th rows of b and c, respectively
> v[0] = a[0]
This would not even work, becuase a[0] does not
Anne Archibald skrev:
> The short answer is, you can't.
Not really true. It is possible create an array (sub)class that stores
memory addresses (pointers) instead of values. It is doable, but I am
not wasting my time implementing it.
Sturla
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NumP
2009/11/1 Bill Blinn :
> What is the best way to create a view that is composed of sections of many
> different arrays?
The short answer is, you can't. Numpy arrays must be located
contiguous blocks of memory, and the elements along any dimension must
be equally spaced. A view is simply another ar
What is the best way to create a view that is composed of sections of many
different arrays?
For example, imagine I had
a = np.array(range(0, 12)).reshape(3, 4)
b = np.array(range(12, 24)).reshape(3, 4)
c = np.array(range(24, 36)).reshape(3, 4)
v = multiview((3, 4))
#the idea of the following lin
