Series.argmax()
Pandas Series.argmax()
returns the string label of the maximum value in the given object series.
Syntax: Series.argmax (axis = 0, skipna = True, * args, ** kwargs)
Parameter:
skipna: Exclude NA / null values. If the entire Series is NA, the result will be NA.
axis: For compatibility with DataFrame.idxmax. Redundant for application on Series.
* args, ** kwargs: Additional keywords have no effect but might be accepted for compatibility with NumPy.Returns: idxmax: Index of maximum of values.
Example # 1: Use Series.argmax ()
to return the label maximum value lines in this series object
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Output:
Coca Cola 34 Sprite 5 Coke 13 Fanta 32 Dew 4 ThumbsUp 15 dtype: int64
Now we will use Series.argmax ( )
to return the label of the maximum value row in the given series object.
|
Output:
Coca Cola
As we see in the output , Series.argmax ()
successfully returned the string label of the maximum value in the given series object.
Example # 2: Use Series.argmax ( )
to get the label of the maximum value row in the given series object.
# set index |
Output:
2010-12-31 08:45:00 11.0 2011-12-31 08:45:00 21.0 2012-12-31 08:45:00 8.0 2013-12-31 08:45:00 18.0 2014-12-31 08:45:00 65.0 2015-12-31 08:45:00 18.0 2016-12-31 08:45:00 32.0 2017-12-31 08:45:00 10.0 2018-12-31 08 : 45: 00 5.0 2019-12-31 08:45:00 32.0 2020-12-31 08:45:00 NaN Freq: A-DEC, dtype: float64
Now we will use Series.argmax ()
to return the string label of the maximum value in the given series object.
|
Output:
2014-12-31 08:45:00
As we can see in the output, Series.argmax ()
successfully returned the string label of the maximum value in the given series object.