pandas.Index.max#

Index.max(axis=None, skipna=True, *args, **kwargs)[source]#

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)