Determine if there is at least one zero in a multidimensional numpy array

Question

I have the following code: There exists a numpy array multidimensional_array which has either has all integers and no zeros, or one zero among many integers:

zeros_list = []   

for line in multidimensional_array:   # if find any zeros, append to list 'zeros'
    for x in line:
        if x.any() == 0:
            zeros_list.append(x)
        else:
            pass

for item in zeros:
    if item == 0:
        sys.stdout.write( 'True')   # if there is a zero, True
    else:
        sys.stdout.write( 'False')  # otherwise, False

Unfortunately, this doesn't run correctly. If there's a zero, it outputs True. If not, nothing happens. Each time I run this within a python script script.py, it should reset. How can I set this to run 'False'?

Answer 1

I am sorry. It is a [multidimensional] numpy array. Is there or is there not one zero in a numpy array? That's the test

Alright, that will get us someplace. You can simply issue

0 in multidimensional_array

Demo:

>>> import numpy as np
>>> test1 = np.arange(6).reshape(2,3)
>>> test1
array([[0, 1, 2],
       [3, 4, 5]])
>>> 0 in test1
True
>>> test1[0][0] = 42
>>> test1
array([[42,  1,  2],
   [ 3,  4,  5]])
>>> 0 in test1
False