argwhere(a)
np.argwhere(a)
is almost the same as np.transpose(np.nonzero(a))
, but produces a result of the correct shape for a 0D array.
The output of argwhere
is not suitable for indexing arrays. For this purpose use nonzero(a)
instead.
Input data.
Indices of elements that are non-zero. Indices are grouped by element. This array will have shape (N, a.ndim)
where N
is the number of non-zero items.
Find the indices of array elements that are non-zero, grouped by element.
>>> x = np.arange(6).reshape(2,3)
... x array([[0, 1, 2], [3, 4, 5]])
>>> np.argwhere(x>1) array([[0, 2], [1, 0], [1, 1], [1, 2]])See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.nonzero
dask.array.routines.argwhere
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