def rle_1d(arr):
    """Return the length, starting position and value of consecutive identical values.

    Parameters
    ----------
    arr : sequence
      Array of values to be parsed.

    Returns
    -------
    (values, run lengths, start positions)
    values : np.array
      The values taken by arr over each run
    run lengths : np.array
      The length of each run
    start position : np.array
      The starting index of each run

    Examples
    --------
    >>> a = [1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3]
    >>> rle_1d(a)
    (array([1, 2, 3]), array([2, 4, 6]), array([0, 2, 6]))

    """
    ia = np.asarray(arr)
    n = len(ia)

    if n == 0:
        e = 'run length array empty'
        warn(e)
        return None, None, None

    y = np.array(ia[1:] != ia[:-1])  # pairwise unequal (string safe)
    i = np.append(np.where(y), n - 1)  # must include last element position
    rl = np.diff(np.append(-1, i))  # run lengths
    pos = np.cumsum(np.append(0, rl))[:-1]  # positions
    return ia[i], rl, pos
Return the length, starting position and value of consecutive identical values.

    Parameters
    ----------
    arr : sequence
      Array of values to be parsed.

    Returns
    -------
    (values, run lengths, start positions)
    values : np.array
      The values taken by arr over each run
    run lengths : np.array
      The length of each run
    start position : np.array
      The starting index of each run

    Examples
    --------
    >>> a = [1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3]
    >>> rle_1d(a)
    (array([1, 2, 3]), array([2, 4, 6]), array([0, 2, 6]))