# pandas.MultiIndex.get_major_bounds

`MultiIndex.``get_major_bounds`(start=None, end=None, step=None, kind=None)

  For an ordered MultiIndex, compute the slice locations for input labels.

  The input labels can be tuples representing partial levels, e.g. for a MultiIndex with 3 levels, you can pass a single value (corresponding to the first level), or a 1-, 2-, or 3-tuple.

  Parameters:

  start : label or tuple, default None

  > If None, defaults to the beginning

  end : label or tuple

  > If None, defaults to the end

  step : int or None

  > Slice step

  kind : string, optional, defaults None

  Returns: | (start, end) : (int, int)

  See also

  `MultiIndex.get_loc`
    Get location for a label or a tuple of labels.
  `MultiIndex.get_locs`
    Get location for a label/slice/list/mask or a sequence of such.

  Notes

  This method only works if the MultiIndex is properly lex-sorted. So, if only the first 2 levels of a 3-level MultiIndex are lexsorted, you can only pass two levels to `.slice_locs`.

  Examples

      >>> mi = pd.MultiIndex.from_arrays([list('abbd'), list('deff')],
      ...                                names=['A', 'B'])

  Get the slice locations from the beginning of ‘b’ in the first level until the end of the multiindex:

      >>> mi.slice_locs(start='b')
      (1, 4)

  Like above, but stop at the end of ‘b’ in the first level and ‘f’ in the second level:

      >>> mi.slice_locs(start='b', end=('b', 'f'))
      (1, 3)

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