Function repmat

numpy/matlib.py:332–380

Repeat a 0-D to 2-D array or matrix MxN times. Parameters ---------- a : array_like The array or matrix to be repeated. m, n : int The number of times `a` is repeated along the first and second axes. Returns ------- out : ndarray The result

(a, m, n)

    return asmatrix(np.random.randn(*args))

def repmat(a, m, n):
    """
    Repeat a 0-D to 2-D array or matrix MxN times.

    Parameters
    ----------
    a : array_like
        The array or matrix to be repeated.
    m, n : int
        The number of times `a` is repeated along the first and second axes.

    Returns
    -------
    out : ndarray
        The result of repeating `a`.

    Examples
    --------
    >>> import numpy.matlib
    >>> a0 = np.array(1)
    >>> np.matlib.repmat(a0, 2, 3)
    array([[1, 1, 1],
           [1, 1, 1]])

    >>> a1 = np.arange(4)
    >>> np.matlib.repmat(a1, 2, 2)
    array([[0, 1, 2, 3, 0, 1, 2, 3],
           [0, 1, 2, 3, 0, 1, 2, 3]])

    >>> a2 = np.asmatrix(np.arange(6).reshape(2, 3))
    >>> np.matlib.repmat(a2, 2, 3)
    matrix([[0, 1, 2, 0, 1, 2, 0, 1, 2],
            [3, 4, 5, 3, 4, 5, 3, 4, 5],
            [0, 1, 2, 0, 1, 2, 0, 1, 2],
            [3, 4, 5, 3, 4, 5, 3, 4, 5]])

    """
    a = asanyarray(a)
    ndim = a.ndim
    if ndim == 0:
        origrows, origcols = (1, 1)
    elif ndim == 1:
        origrows, origcols = (1, a.shape[0])
    else:
        origrows, origcols = a.shape
    rows = origrows * m
    cols = origcols * n
    c = a.reshape(1, a.size).repeat(m, 0).reshape(rows, origcols).repeat(n, 0)
    return c.reshape(rows, cols)