Pandas Series Aggregate Method

Introduction

In this lab, you will learn how to use the aggregate() method in Pandas to perform aggregation operations on a Series. The aggregate() method allows you to apply one or more operations on the elements of a Series along a specified axis.

VM Tips

After the VM startup is done, click the top left corner to switch to the Notebook tab to access Jupyter Notebook for practice.

Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook.

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Create a Series

First, let's create a Series that we will use for aggregation. We will create a simple Series with three elements: 2, 3, and 4.

#import pandas library
import pandas as pd

#create a Series
s = pd.Series([2, 3, 4])

Aggregate with a Single Method

Next, let's aggregate the Series elements by applying a single method. We will use the aggregate() method and pass the desired method as a string parameter. In this example, we will aggregate the elements using the 'sum', 'min', 'max', 'mean', and 'count' methods.

#aggregate using 'sum', 'min', 'max', 'mean', 'count' methods
sum_result = s.aggregate('sum')
min_result = s.aggregate('min')
max_result = s.aggregate('max')
mean_result = s.aggregate('mean')
count_result = s.aggregate('count')

Print the Results

Now, let's print the aggregated results for each method.

print("The sum of the series elements is:", sum_result)
print("The min of the series elements is:", min_result)
print("The max of the series elements is:", max_result)
print("The mean of the series elements is:", mean_result)
print("The count of the series elements is:", count_result)

Aggregate with Multiple Methods

You can also aggregate the Series elements by passing a list of methods to the aggregate() method. In this example, we will pass ['sum', 'min', 'max'].

#aggregate using a list of methods
result = s.aggregate(['sum', 'min', 'max'])

Print the Results

Let's print the aggregated results for each method.

print("The output of the aggregate method is:\n", result)

Summary

In this lab, you learned how to use the aggregate() method in Pandas to perform aggregation operations on a Series. You learned how to aggregate the elements using a single method or a list of methods. Remember that the aggregate() method allows you to compute scalar values or multiple outputs, depending on the parameter passed to it. Explore the various methods available in Pandas to aggregate your data and perform analysis efficiently. Happy coding!