xorbits.pandas.Index.min#

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

Return the minimum value of the Index.

Parameters

  • axis ({None}) – Dummy argument for consistency with Series.

  • 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

Minimum value.

Return type

scalar

See also

Index.max

Return the maximum value of the object.

Series.min

Return the minimum value in a Series.

DataFrame.min

Return the minimum values in a DataFrame.

Examples

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

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

For a MultiIndex, the minimum is determined lexicographically.

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

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