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