flatnonzero(a)
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)
... 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])See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.nonzero
numpy.ma.core.MaskedArray.nonzero
numpy.ma.core.nonzero
dask.array.routines.flatnonzero
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them