pandas.Series.max

Series.max(axis=None, skipna=None, level=None, numeric_only=None, **kwargs)

This method returns the maximum of the values in the object.

If you want the index of the maximum, use idxmax. This is the equivalent of the numpy.ndarray method argmax.

Parameters:

axis : {index (0)} skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be NA level : int or level name, default None If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar numeric_only : boolean, default None Include only float, int, boolean data. If None, will attempt to use everything, then use only numeric data

Returns:

max : scalar or Series (if level specified)