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# 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)

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