scipy 1.8.0 Pypi GitHub Homepage
Other Docs
NotesParametersReturnsBackRef
hadamard(n, dtype=<class 'int'>)

Constructs an n-by-n Hadamard matrix, using Sylvester's construction. n must be a power of 2.

Notes

versionadded

Parameters

n : int

The order of the matrix. n must be a power of 2.

dtype : dtype, optional

The data type of the array to be constructed.

Returns

H : (n, n) ndarray

The Hadamard matrix.

Construct an Hadamard matrix.

Examples

>>> from scipy.linalg import hadamard
... hadamard(2, dtype=complex) array([[ 1.+0.j, 1.+0.j], [ 1.+0.j, -1.-0.j]])
>>> hadamard(4)
array([[ 1,  1,  1,  1],
       [ 1, -1,  1, -1],
       [ 1,  1, -1, -1],
       [ 1, -1, -1,  1]])
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.linalg._special_matrices.hadamard scipy.linalg._decomp_svd.subspace_angles

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


GitHub : /scipy/linalg/_special_matrices.py#300
type: <class 'function'>
Commit: