Visualization of rectangles in Python

Title: Visualization of Rectangles in Python using Matplotlib
Introduction:
Visualization is a powerful tool for understanding and analyzing data. In this tutorial, we will explore how to visualize rectangles in Python using the Matplotlib library. Matplotlib is a popular plotting library that allows us to create a wide variety of plots and charts, including rectangles.
Prerequisites:
Before you begin, make sure you have Python installed on your machine. You'll also need to install the Matplotlib library if you haven't already. You can install it using the following command:
Now, let's get started with the tutorial.
Step 1: Importing Matplotlib
Step 2: Creating Rectangles
To create rectangles, we'll use the Rectangle class from Matplotlib's patches module. Each rectangle is defined by its bottom-left corner coordinates (x, y), width, and height.
Step 3: Creating a Figure and Axis
Now, we'll create a figure and axis using Matplotlib's subplots function. The axis will be used to add rectangles and customize the plot.
Step 4: Customizing the Plot
You can customize the plot by adding a title, labels, grid, etc. In this example, we'll set axis limits and add a title.
Step 5: Displaying the Plot
The complete code:
This example demonstrates how to visualize rectangles using Matplotlib in Python. Feel free to modify the coordinates, dimensions, and styling to suit your specific requirements.
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