flatnonzero(a)
This docstring was copied from numpy.flatnonzero.
Some inconsistencies with the Dask version may exist.
This is equivalent to np.nonzero(np.ravel(a))[0].
Input data.
Output array, containing the indices of the elements of :None:None:`a.ravel()` that are non-zero.
Return indices that are non-zero in the flattened version of a.
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.
>>> x = np.arange(-2, 3) # doctest: +SKIPThis example is valid syntax, but we were not able to check execution
... x # doctest: +SKIP array([-2, -1, 0, 1, 2])
>>> np.flatnonzero(x) # doctest: +SKIP array([0, 1, 3, 4])
Use the indices of the non-zero elements as an index array to extract these elements:
This example is valid syntax, but we were not able to check execution>>> x.ravel()[np.flatnonzero(x)] # doctest: +SKIP array([-2, -1, 1, 2])See :
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.routines.nonzero
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