Hello,
I'm having an issue with 'array' dtypes; if I do this:
mydtype = numpy.dtype(('i', (4,)))
arr = numpy.empty((100,), dtype=mydtype)
then the array datatype shape is "absorbed" into the shape of the
array. This simplifies indexing, but is really annoying as it means
that the dtype doesn't "round trip"; I can't even use use astype as it
complains about a shape mismatch. How can I create an array in a
manner that preserves the dtype array information? Or is there a way
to take an existing array of the correct shape and "re-cast" it to use
an array dtype?
Thanks,
Andrew Collette
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