Diamond outline pattern plot

 

import numpy as np

import matplotlib.pyplot as plt

diamond_x=[0,1,0,-1,0]

diamond_y=[1,0,-1,0,1]

plt.figure(figsize=(5,5))

plt.plot(diamond_x,diamond_y,'b-',linewidth=2)

plt.xlim(-1.5,1.5)

plt.ylim(-1.5,1.5)

plt.axhline(0,color='gray',linestyle='--',linewidth=0.5)

plt.axvline(0,color='gray',linestyle='--',linewidth=0.5)

plt.gca().set_aspect('equal')

plt.grid(True,linestyle='--',alpha=0.5)

plt.show()

#source code --> clcoding.com 

Code Explanation:

1. Importing Required Library

import matplotlib.pyplot as plt

matplotlib.pyplot is a widely used Python library for data visualization.

The alias plt is used to simplify function calls.

2. Defining the Diamond Outline Coordinates

diamond_x = [0, 1, 0, -1, 0]

diamond_y = [1, 0, -1, 0, 1]

These two lists store the x and y coordinates of the diamond's outline.

Each coordinate pair represents a point on the diamond.

The sequence of points:

(0,1) → Top

(1,0) → Right

(0,-1) → Bottom

(-1,0) → Left

(0,1) → Closing back to the top

3. Creating the Figure

plt.figure(figsize=(5, 5))

Creates a new figure (canvas) for the plot.

figsize=(5,5) sets the figure size to 5x5 inches, ensuring a square aspect ratio.

4. Plotting the Diamond Outline

plt.plot(diamond_x, diamond_y, 'b-', linewidth=2)

The plot() function draws a line connecting the points.

'b-':

'b' → Blue color for the line.

'-' → Solid line style.

linewidth=2 → Sets the line thickness.

5. Setting Plot Limits

plt.xlim(-1.5, 1.5)

plt.ylim(-1.5, 1.5)

Defines the range of x and y axes.

Ensures the entire diamond fits within the plot with some padding.

6. Adding Reference Lines

plt.axhline(0, color='gray', linestyle='--', linewidth=0.5)

plt.axvline(0, color='gray', linestyle='--', linewidth=0.5)

These lines add dashed reference axes at x = 0 and y = 0.

Helps to center the diamond visually.

7. Ensuring Square Aspect Ratio

plt.gca().set_aspect('equal')

plt.gca() gets the current axes.

.set_aspect('equal') ensures equal scaling on both axes, so the diamond is not distorted.

8. Adding a Grid

plt.grid(True, linestyle='--', alpha=0.5)

Enables a dashed grid to improve visualization.

alpha=0.5 makes the grid slightly transparent.

9. Displaying the Plot

plt.show()

This renders and displays the plot.