numpy.argwhere
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numpy.argwhere(a)
[source] -
Find the indices of array elements that are non-zero, grouped by element.
- Parameters
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aarray_like
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Input data.
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- Returns
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index_array(N, a.ndim) ndarray
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Indices of elements that are non-zero. Indices are grouped by element. This array will have shape
(N, a.ndim)
whereN
is the number of non-zero items.
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Notes
np.argwhere(a)
is almost the same asnp.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 usenonzero(a)
instead.Examples
>>> 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]])
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https://numpy.org/doc/1.19/reference/generated/numpy.argwhere.html