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Effective Data Manipulation with pandas

Solution: Aggregate Methods

Explore how to create numeric pandas Series and apply aggregate methods to perform addition, scalar addition, and compute summary statistics like mean and max values. This lesson helps you understand essential aggregation techniques for effective data analysis with pandas.

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Problem 1: Solution

Create a numeric Series named num_series and add this numeric series to itself using the add method.

Python 3.10.4
import pandas as pd
num_series = pd.Series([10, 23, 34, 45, 67])
print(num_series.add(num_series))

  • Line 2: We create a pandas Series named ...