# scipy.linalg.tri

scipy.linalg.tri(N, M=None, k=0, dtype=None)

  Deprecated since version 1.11.0: `tri` is deprecated in favour of `numpy.tri` and will be removed in SciPy 1.13.0.

  Construct (N, M) matrix filled with ones at and below the kth diagonal.

  The matrix has A[i,j] == 1 for j <= i + k

  Parameters:
    N int

      The size of the first dimension of the matrix.

    M int or None, optional

      The size of the second dimension of the matrix. If M is None, M = N is assumed.

    k int, optional

      Number of subdiagonal below which matrix is filled with ones. k = 0 is the main diagonal, k < 0 subdiagonal and k > 0 superdiagonal.

    dtype dtype, optional

      Data type of the matrix.

  Returns:
    tri(N, M) ndarray

      Tri matrix.

  Examples

      >>> from scipy.linalg import tri
      >>> tri(3, 5, 2, dtype=int)
      array([[1, 1, 1, 0, 0],
             [1, 1, 1, 1, 0],
             [1, 1, 1, 1, 1]])
      >>> tri(3, 5, -1, dtype=int)
      array([[0, 0, 0, 0, 0],
             [1, 0, 0, 0, 0],
             [1, 1, 0, 0, 0]])