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 1.4.2 (released April 2, 2022). There will be four additional libraries that you will be using:

• NumPy (≥ 1.20.3)
• Matplotlib (≥ 3.5.0)
• statsmodels (≥ 0.11.0)
• scikit-learn (≥ 1.0.1)
• SciPy (≥ 1.7.1)

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...