diagflat(*args, **kwargs)

Notes

The function is applied to both the _data and the _mask, if any.

Parameters

v : array_like

Input data, which is flattened and set as the k-th diagonal of the output.

k : int, optional

Diagonal to set; 0, the default, corresponds to the "main" diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.

Returns

out : ndarray

The 2-D output array.

Create a two-dimensional array with the flattened input as a diagonal.

See Also

diag

MATLAB work-alike for 1-D and 2-D arrays.

diagonal

Return specified diagonals.

trace

Sum along diagonals.

Examples

>>> np.diagflat([[1,2], [3,4]])
array([[1, 0, 0, 0],
       [0, 2, 0, 0],
       [0, 0, 3, 0],
       [0, 0, 0, 4]])

>>> np.diagflat([1,2], 1)
array([[0, 1, 0],
       [0, 0, 2],
       [0, 0, 0]])

See :

Local connectivity graph

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

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