python - Numpy Deep Copy Array -


i'm having trouble copying array using numpy. i'm running few different sort functions , comparing run times, need copy of original array , 1 modify. here's code i've got.

import numpy import random  size = 10 display = true  def random_fill():     return numpy.array([random.random()*10000 in range(size)])  def copy(p):     return numpy.copy(p)  def display(p):     if (display):         print         print  def bubble_sort(array):     temp = 0     in range(size, 1, -1):         j in range(1, i):             if (array[j-1] > array[j]):                 temp = array[j-1]                 array[j-1] = array[j]                 array[j] = temp  = random_fill() b = copy(a) display(a) display(b) bubble_sort(a) display(a) display(b)

first a , b display properly, being random array. a sorts , displays correctly b displays a is. b should remain unsorted. what's issue here?

you shouldn't use print a print p otherwise print global array instead of 1 passed function.


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