pandas.Index.min

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

Return the minimum value of the Index.

Parameters:

axis{None}

Dummy argument for consistency with Series.

skipnabool, default True

Exclude NA/null values when showing the result.

*args, **kwargs

Additional arguments and keywords for compatibility with NumPy.

Returns:

scalar

Minimum value.

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)

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