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 - Examples - >>> 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])