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: - a : array_like
Input data.
Returns: - res : ndarray
Output array, containing the indices of the elements of a.ravel() that are non-zero.
See also
Examples
>>> 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])