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# pandas.Index.max

Index.max(axis=None, skipna=True, *args, **kwargs)

  Return the maximum value of the Index.

  Parameters:
    axisint, optional

      For compatibility with NumPy. Only 0 or None are allowed.

    skipnabool, default True

      Exclude NA/null values when showing the result.

    *args, **kwargs

      Additional arguments and keywords for compatibility with NumPy.

  Returns:
    scalar

      Maximum value.

  See also

  `Index.min`

    Return the minimum value in an Index.

  `Series.max`

    Return the maximum value in a Series.

  `DataFrame.max`

    Return the maximum values in a DataFrame.

  Examples

      >>> idx = pd.Index([3, 2, 1])
      >>> idx.max()
      3

      >>> idx = pd.Index(['c', 'b', 'a'])
      >>> idx.max()
      'c'

  For a MultiIndex, the maximum is determined lexicographically.

      >>> idx = pd.MultiIndex.from_product([('a', 'b'), (2, 1)])
      >>> idx.max()
      ('b', 2)