Hi all, disclaimer: pardon my vast ignorance on the subject of ufuncs, that will explain the naivety of the following questions
This morning I was looking at this line of code, which was running quite slow for me and making me think data_has_nan = numpy.isnan(data_array).any() I knew that the array was of type uint8. This raised the question of how much slower would a function like isnan() run on integer typed data, and furthermore if it's integer typed data then why bother looking at the values at all? Actually I realized later that the main slow-down comes from the fact that my array was strided in fortran order (ascending strides). But from the point of view of a ufunc that is operating independently at each value, why would it need to respect striding? And a last mini question, it doesn't appear that any() is doing short circuit evaluation. It runs in appx the same time whether an array is sparsely nonzero, fully zero, or fully nonzero. Kind regards, Mike _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
