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pandas.Index.max
Index.max(axis=None, skipna=True)
[source]-
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
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)
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.24.2/reference/api/pandas.Index.max.html