numpy.flatnonzero#

numpy.flatnonzero(a)[source]#

Return indices that are non-zero in the flattened version of a.

This is equivalent to np.nonzero(np.ravel(a))[0].

Parameters:

aarray_like

Input data.

Returns:

resndarray

Output array, containing the indices of the elements of a.ravel() that are non-zero.

See also

nonzero

Return the indices of the non-zero elements of the input array.

ravel

Return a 1-D array containing the elements of the input array.

Examples

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>>> import numpy as np
>>> x = np.arange(-2, 3)
>>> x
array([-2, -1,  0,  1,  2])
>>> np.flatnonzero(x)
array([0, 1, 3, 4])

Use the indices of the non-zero elements as an index array to extract these elements:

>>> x.ravel()[np.flatnonzero(x)]
array([-2, -1,  1,  2])

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