[Numpy-discussion] three-way comparisons

I often find a need to do the type of comparison done by function shown below. I suspect that this would be more efficient for large arrays if implemented direction in C. Is there any possibility of adding something like this to NumPy? def three_way(x, y): """ This function performs a

Re: [Numpy-discussion] method to calculate the magnitude squared

The ufunc approach makes sense. Something like abs2 is essential for anyone who does signal processing simulations using NumPy. Phillip On Sat, Oct 10, 2015 at 11:29 AM, Nathaniel Smith wrote: > On Oct 10, 2015 10:50 AM, "Charles R Harris" > wrote:

Re: [Numpy-discussion] method to calculate the magnitude squared

extremely > difficult to do well, and may well be impossible to do perfectly. > > Good luck, > -n > On Oct 5, 2015 21:08, "Phillip Feldman" <phillip.m.feld...@gmail.com> > wrote: > >> My apologies for the slow response; I was experiencing some technical &g

Re: [Numpy-discussion] method to calculate the magnitude squared

My apologies for the slow response; I was experiencing some technical problems with e-mail. In answer to Antoine's question, my main desire is for a numpy ndarray method, for the convenience, with a secondary goal being improved performance. I have added the function `magsq` to my library, but

[Numpy-discussion] method to calculate the magnitude squared

In communications and signal processing, it is frequently necessary to calculate the power of a signal. This can be done with a function like the following: def magsq(z): """ Return the magnitude squared of the real- or complex-valued input. """ return z.real**2 + z.imag**2 A high

[Numpy-discussion] strange behavior of numpy.unique

numpy.unique behaves as I would expect for small inputs like the following: In [12]: x= [0, 0, 1, 0, 1, 2, 0, 1, 2, 3] In [13]: unique(x, return_index=True) Out[13]: (array([0, 1, 2, 3]), array([0, 2, 5, 9], dtype=int64)) But, when I give it something larger, the return index values do not