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pythonnumpymaxmin

Is there a numpy "max minus min" function?

Is there a numpy function that gives for a given numpy array its maximum - minimum value, i.e. numpy.max(a) - numpy.min(a) ?

e.g. 

numpy.xxx([4,3,2, 6] = 4 since max = 6, min = 2, 6 - 4 = 2)

Reason: performance increase since max and min would cause twice the iteration of the array (which is in my case 7.5 million or more numbers).

Solution

  • Indeed there is such a function -- it's called numpy.ptp() for "peak to peak".