Technical requirements

You can download the Jupyter notebooks and the requisite datasets from the GitHub repository to follow along:

• Jupyter notebooks: https://github.com/PacktPublishing/Time-Series-Analysis-with-Python-Cookbook./blob/main/code/Ch7/Chapter%207.ipynb
• Datasets: https://github.com/PacktPublishing/Time-Series-Analysis-with-Python-Cookbook./tree/main/datasets/Ch7

In this chapter and beyond, you will extensively use pandas 2.1.3 (released November 10, 2023). There will be four additional libraries that you will be using:

• numpy (1.26.0)
• matplotlob (3.8.1)
• statsmodels (0.14.0)
• scikit-learn (1.3.2)
• SciPy (1.11.3)

If you are using pip, then you can install these packages from your terminal with the following command:

pip install matplotlib numpy statsmodels scikit-learn scipy

If you are using conda, then you can install these packages with the following command:

conda install matplotlib numpy statsmodels scikit-learn scipy

In this chapter, two datasets will be used extensively...