Travis E. Oliphant schrieb:
> Several extensions to Python utilize the buffer protocol to share
> the location of a data-buffer that is really an N-dimensional
> array. However, there is no standard way to exchange the
> additional N-dimensional array information so that the data-buffer
> is interpreted correctly. The NumPy project introduced an array
> interface (http://numpy.scipy.org/array_interface.shtml) through a
> set of attributes on the object itself. While this approach
> works, it requires attribute lookups which can be expensive when
> sharing many small arrays.
Can you please give examples for real-world applications of this
interface, preferably examples involving multiple
independently-developed libraries?
("this" being the current interface in NumPy - I understand that
the PEP's interface isn't implemented, yet)
Paul Moore (IIRC) gave the example of equalising the green values
and maximizing the red values in a PIL image by passing it to NumPy:
Is that a realistic (even though not-yet real-world) example? If
so, what algorithms of NumPy would I use to perform this image
manipulation (and why would I use NumPy for it if I could just
write a for loop that does that in pure Python, given PIL's
getpixel/setdata)?
Regards,
Martin
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