Python Matplotlib

Matplotlib is an essential Python library for creating static, animated, and interactive visualizations. It offers a wide range of plotting capabilities for various data types.

Most of the Matplotlib utilities lies under the pyplot submodule, and are usually imported under the plt alias.

Matplotlib — Core Concepts

• Figure and Axes: Matplotlib works with two main components.
  • Figure: Represents the overall canvas for the plot.
  • Axes: One or more plotting areas within a figure where data is visualized.
• Subplots: You can create multiple axes within a single figure using functions like plt.subplots(). A grid-like arrangement of plots within a single figure, subplots allow you to create and display multiple plots simultaneously, making it easier to compare different datasets or aspects of your data. Each subplot is contained within its own set of axes, and you can customize the layout, size, and appearance of subplots as needed.
• Lines and Markers: The primary way to visualize data is through lines and markers. The plt.plot() function is used to create line plots, connecting data points.