#### Previous topic

scipy.linalg.invpascal

#### Next topic

scipy.linalg.tri

# scipy.linalg.toeplitz

`scipy.linalg.``toeplitz`(c, r=None)

  Construct a Toeplitz matrix.

  The Toeplitz matrix has constant diagonals, with c as its first column and r as its first row. If r is not given, `r == conjugate(c)` is assumed.

  Parameters: | c : array_like First column of the matrix. Whatever the actual shape of c, it will be converted to a 1-D array. r : array_like, optional First row of the matrix. If None, `r = conjugate(c)` is assumed; in this case, if c[0] is real, the result is a Hermitian matrix. r[0] is ignored; the first row of the returned matrix is `[c[0], r[1:]]`. Whatever the actual shape of r, it will be converted to a 1-D array.
  Returns: | A : (len(c), len(r)) ndarray The Toeplitz matrix. Dtype is the same as `(c[0] + r[0]).dtype`.

  See also

  `circulant`
    circulant matrix
  `hankel`
    Hankel matrix

  Notes

  The behavior when c or r is a scalar, or when c is complex and r is None, was changed in version 0.8.0. The behavior in previous versions was undocumented and is no longer supported.

  Examples

      >>> from scipy.linalg import toeplitz
      >>> toeplitz([1,2,3], [1,4,5,6])
      array([[1, 4, 5, 6],
             [2, 1, 4, 5],
             [3, 2, 1, 4]])
      >>> toeplitz([1.0, 2+3j, 4-1j])
      array([[ 1.+0.j,  2.-3.j,  4.+1.j],
             [ 2.+3.j,  1.+0.j,  2.-3.j],
             [ 4.-1.j,  2.+3.j,  1.+0.j]])