scipy.sparse.spdiags¶
- scipy.sparse.spdiags(data, diags, m, n, format=None)[source]¶
Return a sparse matrix from diagonals.
Parameters: data : array_like
matrix diagonals stored row-wise
diags : diagonals to set
- k = 0 the main diagonal
- k > 0 the k-th upper diagonal
- k < 0 the k-th 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.
See also
- diags
- more convenient form of this function
- dia_matrix
- the sparse DIAgonal format.
Examples
>>> 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]])