Diamond Pattern plot using python

 

import matplotlib.pyplot as plt

rows = 5

plt.figure(figsize=(6, 6))

for i in range(rows):

    for j in range(rows - i - 1, rows + i):

        plt.scatter(j, -i, s=800, c='purple')

for i in range(rows - 2, -1, -1):

    for j in range(rows - i - 1, rows + i):

        plt.scatter(j, -(2 * rows - i - 2), s=800, c='purple')

plt.xlim(-0.5, 2 * rows - 1.5)

plt.ylim(-2 * rows + 1.5, 0.5)

plt.axis('off')

plt.gca().set_aspect('equal', adjustable='datalim')

plt.title("Diamond Pattern Plot", fontsize=14)

plt.show()

#source code --> clcoding.com 

Code Explanation:

1. Importing Matplotlib

import matplotlib.pyplot as plt

This imports matplotlib.pyplot, which allows us to create plots.

2. Setting the Number of Rows

rows = 5

The variable rows controls the height of the upper half of the diamond.

3. Creating the Figure

plt.figure(figsize=(6, 6))

Initializes a figure with dimensions 6x6 inches.

Generating the Diamond Shape

The diamond consists of two triangular halves:

Upper half (top to middle).

Lower half (middle to bottom).

4. Creating the Upper Part of the Diamond

for i in range(rows):

    for j in range(rows - i - 1, rows + i):

        plt.scatter(j, -i, s=800, c='red')

The outer loop (i) iterates over the rows.

The inner loop (j) controls the number of dots per row.

The range rows - i - 1 to rows + i ensures that dots expand outward as i increases.

plt.scatter(j, -i, s=800, c='red') places red dots at calculated positions.

5. Creating the Lower Part of the Diamond

for i in range(rows - 2, -1, -1):

    for j in range(rows - i - 1, rows + i):

        plt.scatter(j, -(2 * rows - i - 2), s=800, c='red')

The outer loop (i) iterates in reverse to form the lower half.

The inner loop (j) places dots in a shrinking pattern.

-(2 * rows - i - 2) correctly positions dots below the center.

Adjusting the Plot Appearance

6. Setting Axis Limits

plt.xlim(-0.5, 2 * rows - 1.5)

plt.ylim(-2 * rows + 1.5, 0.5)

plt.xlim(-0.5, 2 * rows - 1.5): Ensures the diamond is centered horizontally.

plt.ylim(-2 * rows + 1.5, 0.5): Ensures the full diamond is visible vertically.

7. Removing Axes and Adjusting Aspect Ratio

plt.axis('off')

plt.gca().set_aspect('equal', adjustable='datalim')

plt.axis('off'): Removes grid lines and axis labels for a clean display.

plt.gca().set_aspect('equal', adjustable='datalim'): Ensures equal spacing between dots.

8. Adding a Title

plt.title("Diamond Pattern Plot", fontsize=14)

Displays the title of the plot.

9. Displaying the Pattern

plt.show()

Renders and displays the diamond pattern