spdiags(data, diags, m, n, format=None)

Parameters

data : array_like

Matrix diagonals stored row-wise

diags : sequence of int or an int

Diagonals to set:

• k = 0 the main diagonal

• k > 0 the kth upper diagonal

• k < 0 the kth lower diagonal

m, n : int

Shape of the result

format : str, optional

Format of the result. By default (format=None) an appropriate sparse matrix format is returned. This choice is subject to change.

Return a sparse matrix from diagonals.

See Also

dia_matrix

the sparse DIAgonal format.

diags

more convenient form of this function

Examples

>>> from scipy.sparse import spdiags
... data = np.array([[1, 2, 3, 4], [1, 2, 3, 4], [1, 2, 3, 4]])
... diags = np.array([0, -1, 2])
... spdiags(data, diags, 4, 4).toarray()
array([[1, 0, 3, 0],
       [1, 2, 0, 4],
       [0, 2, 3, 0],
       [0, 0, 3, 4]])

See :

Back References

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

scipy.sparse._construct.diags scipy.sparse.linalg._eigen.lobpcg.lobpcg.lobpcg scipy.sparse._construct.spdiags

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