Welcome to our storytelling session, where data comes alive on the pages of Matplotlib! Today, you'll become adept at weaving multiple data narratives together on a single canvas. This process is much like assembling a scrapbook, where every photo, or in this case, plot, adds depth to the story. By the end of this lesson, you'll know how to create a multi-plot narrative using layers on the same axis and within a single figure.

Imagine you're building a scrapbook. Each page can hold multiple pictures, and you can decide where each photo goes. Subplots work similarly, helping us position multiple charts within a plot grid. We'll learn how to organize our data tales neatly on a page using subplots.

Here's a detailed example of creating subplots:

Let's decipher plt.subplot(1, 2, 1): 1, 2 defines a grid of one row and two columns, and the last 1 specifies the first column for our plot. This ensures your plots are arranged like photos on a scrapbook page, telling parts of the bigger story side by side.