Zachary Pincus wrote: >> In a 1-d array, find the first point where all subsequent points >> have values >> less than a threshold, T. > > Maybe something like: > > last_greater = numpy.arange(arr.shape)[arr >= T][-1] > first_lower = last_greater + 1 > > There's probably a better way to do it, without the arange, though...
I'm trying to find the first point in a power spectrum such that all subsequent points are below some level. I've started with: db is my power spectrum in dB, It is already reversed. mag = np.maximum.accumulate (db) - db[-1] Now all I need is to find the first point such that mag < -50. How to do this efficiently? _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
