Python | Pandas Series.max()
Last Updated :
11 Feb, 2019
Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.
Pandas Series.max() function return the maximum of the underlying data in the given Series object. This function always returns Series even if only one value is returned.
Syntax: Series.max(axis=None, skipna=None, level=None, numeric_only=None, **kwargs)
Parameter :
axis : Axis for the function to be applied on.
skipna : Exclude NA/null values when computing the result.
level : If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar.
numeric_only : Include only float, int, boolean columns.
**kwargs : Additional keyword arguments to be passed to the function.
Returns : max : scalar or Series (if level specified)
Example #1: Use Series.max() function to find the maximum value among the underlying data in the given series object.
import pandas as pd
sr = pd.Series([10, 25, 3, 25, 24, 6])
index_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp']
sr.index = index_
print(sr)
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Output :
Now we will use Series.max() function to find the maximum value of the given series object.
result = sr.max()
print(result)
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Output :
As we can see in the output, the Series.max() function has successfully returned the maximum value of the given series object.
Example #2: Use Series.max() function to find the maximum value among the underlying data in the given series object. The given series object also contains some missing values.
import pandas as pd
sr = pd.Series([19.5, 16.8, None, 22.78, 16.8, 20.124, None, 18.1002, 19.5])
print(sr)
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Output :
Now we will use Series.max() function to find the maximum value of the given series object. we are going to skip the missing value while finding the maximum value.
result = sr.max(skipna = True)
print(result)
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Output :
As we can see in the output, the Series.max() function has successfully returned the maximum value of the given series object.
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