Find indices of elements equal to zero in a NumPy array

Question

NumPy has the efficient function/method nonzero() to identify the indices of non-zero elements in an ndarray object. What is the most efficient way to obtain the indices of the elements that do have a value of zero?

Answer

numpy.where() is my favorite.

>>> x = numpy.array([1,0,2,0,3,0,4,5,6,7,8])
>>> numpy.where(x == 0)[0]
array([1, 3, 5])

The method where returns a tuple of ndarrays, each corresponding to a different dimension of the input. Since the input is one-dimensional, the [0] unboxes the tuple’s only element.

Accepted Answer

numpy.where() is my favorite.>>> x = numpy.array([1,0,2,0,3,0,4,5,6,7,8])>>> numpy.where(x == 0)[0]array([1, 3, 5])The method where returns a tuple of ndarrays, each corresponding to a different dimension of the input. Since the input is one-dimensional, the [0] unboxes the tuple&#8217;s only element.

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