[Numpy-discussion] Compact way of performing array math with specified result type?
Russell E. Owen
Fri Apr 27 16:17:34 CDT 2007
I often find myself doing simple math on sequences of numbers (which
might or might not be numpy arrays) where I want the result (and thus
the inputs) coerced to a particular data type.
I'd like to be able to say:
numpy.divide(seq1, seq2, dtype=float)
but ufuncs don't allow on to specify a result type. So I do this instead:
numpy.array(seq1, dtype=float) / numpy.array(seq2, dtype=float)
Is there a more compact solution (without having to create the result
array first and supply it as an argument)?
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