Hello,
I've been using record arrays to create arrays with different types
and since I'm doing a lot of computation on each of the different
fields, the default memory layout does not serve my computations.
Ideally, I would like to have record arrays where each field is a
contiguous block of memory. I searched the dtype documentation but did
not find anything about it. In the meantime, I wrote a class that
emulates this behavior, but it does not inherit from nd.array and I
need inheritance.
To sum up, I would like to have:
>>> Z = np.zeros(3, dtype=[('x',np.float32), ('y',np.int)])
>>> print Z['x'].flags[['C_CONTIGUOUS']
False <= should be True
>>> print Z['y'].flags[['C_CONTIGUOUS']
False <= should be True
>>> Z.shape == Z['x'].shape == Z['y'].shape
True
Is there any obvious solution that I missed ?
Nicolas
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