def planckian_table_minimal_distance_index(planckian_table_):
    """
    Returns the shortest distance index in given planckian table using
    *Ohno (2013)* method.

    Parameters
    ----------
    planckian_table_ : list
        Planckian table.

    Returns
    -------
    int
        Shortest distance index.

    Examples
    --------
    >>> from colour import MSDS_CMFS, SPECTRAL_SHAPE_DEFAULT
    >>> from colour.colorimetry import sd_to_XYZ_integration
    >>> cmfs = (
    ...     MSDS_CMFS['CIE 1931 2 Degree Standard Observer'].
    ...     copy().align(SPECTRAL_SHAPE_DEFAULT)
    ... )
    >>> uv = np.array([0.1978, 0.3122])
    >>> table = planckian_table(uv, cmfs, 1000, 1010, 10)
    >>> planckian_table_minimal_distance_index(table)
    9
    """

    distances = [x.di for x in planckian_table_]
    return distances.index(min(distances))