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NumPy | flatnonzero method

schedule Aug 12, 2023
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Numpy's flatnonzero(~) method returns the indices of non-zero values in the flattened version of the input array.

Parameters

1. a | array_like

The input array.

Return value

A Numpy array of indices of non-zero values in the flattened version of the input array.

Examples

One-dimensional arrays

One-dimensional arrays are already flat, so this is equivalent to just applying the np.nonzero(~):

np.flatnonzero([5,3,0,2])
array([0, 1, 3])

Here, the indices 0, 1 and 3 are returned since the values 5, 3 and 2 are non-zeros.

Two-dimensional arrays

Suppose we had a 2D array:

np.flatnonzero([[1,0],[2,3]])
array([0, 2, 3])

Here, the 2D array is first flattened out to [1,0,2,3], and then the indices of the non-zero value are extracted.

robocat
Published by Isshin Inada
Edited by 0 others
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