On Sat, Apr 28, 2007 at 10:04 PM, Travis Oliphant
oliphant.tra...@ieee.org wrote:
Russell E. Owen wrote:
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 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
Russell E. Owen wrote:
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
