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Alex Rivera
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In numpy is there a fast way of calculating the mean across multiple axis? I am calculating the mean on all but the 0 axis of an n-dimensional array. I am currently doing this; for i in range(d.ndim - 1): d = d.mean(axis=1) I'm wondering if there is a solution that doesn't use a python loop.
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