I get the same result on 1.4.1 On Thu, Jul 22, 2010 at 1:00 PM, Johann Hibschman < jhibschman+numpy@gmail.com <jhibschman%2Bnumpy@gmail.com>> wrote:

I'm trying to understand numpy.subtract.reduce. The documentation doesn't seem to match the behavior. The documentation claims

For a one-dimensional array, reduce produces results equivalent to:

r = op.identity for i in xrange(len(A)): r = op(r,A[i]) return r

However, numpy.subtract.reduce([1,2,3]) gives me 1-2-3==-4, not 0-1-2-3==-6.

Now, I'm on an older version (1.3.0), which might be the problem, but which is "correct" here, the code or the docs?

Thanks, Johann

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