# scipy.sparse.spdiags

scipy.sparse.spdiags(data, diags, m, n, format=None)

  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

      >>> 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]])

scipy.sparse.diags scipy.sparse.block_diag