xorbits.pandas.Index.max#

Index.max(axis=None, skipna=True)#

Return the maximum value of the Index.

Parameters

  • axis (int, optional) – For compatibility with NumPy. Only 0 or None are allowed.

  • skipna (bool, default True) – Exclude NA/null values when showing the result.

  • *args – Additional arguments and keywords for compatibility with NumPy.

  • **kwargs – Additional arguments and keywords for compatibility with NumPy.

Returns

Maximum value.

Return type

scalar

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)

This docstring was copied from pandas.core.indexes.base.Index.