Plotting time series data using pandas

Visualization is a crucial aspect of data analysis, becoming even more significant when dealing with time series data. In previous chapters and recipes, you have encountered numerous instances where plotting the data was essential to highlight specific points or to draw conclusions about the time series. Visualizing our time series data enables us to easily identify patterns, trends, outliers, and other critical information at a glance. Furthermore, data visualization facilitates communication across different groups and can help bridge the gap between various stakeholders (such as business professionals and data scientists) by providing a common platform for communication and fostering constructive dialogue.

In time series analysis, as well as in machine learning at large, we prioritize visualizing our data during exploratory data analysis (EDA) to gain a comprehensive understanding of the data we’re working with. We also depend on visualization...