Inverted Right-Angled Triangle Pattern 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):

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

plt.xlim(-0.5, rows - 0.5)

plt.ylim(-rows + 0.5, 0.5)

plt.axis('off')

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

plt.title("Inverted Right-Angled Triangle Pattern Plot",fontsize=14)

plt.show()

#source code --> clcoding.com 

Code Explanation:

1. Importing Matplotlib

import matplotlib.pyplot as plt

This imports pyplot from Matplotlib, which is used for plotting.

2. Defining the Number of Rows

rows = 5

This variable sets the number of rows to 5, meaning the triangle will have 5 levels.

3. Creating the Figure

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

Creates a 6x6 inch figure for proper visualization.

4. Generating the Inverted Triangle Pattern Using Nested Loops

for i in range(rows):  # Loops through each row (i)

    for j in range(rows - i):  # Decreasing number of dots in each row

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

The outer loop (i) iterates over the number of rows.

The inner loop (j) ensures that the number of dots decreases in each row:

Row 0 → 5 dots

Row 1 → 4 dots

Row 2 → 3 dots

Row 3 → 2 dots

Row 4 → 1 dot

plt.scatter(j, -i, s=800, c='red') places a red dot at (j, -i):

j → Represents the horizontal (x-axis) position.

-i → Represents the vertical (y-axis) position (negative value makes it start from the top).

s=800 → Sets the dot size to 800 for better visibility.

c='red' → Sets the dot color to red.

5. Setting the Axis Limits

plt.xlim(-0.5, rows - 0.5)  # X-axis range

plt.ylim(-rows + 0.5, 0.5)  # Y-axis range

Ensures the plot area is properly adjusted to fit the triangle.

6. Removing the Axes & Formatting the Plot

plt.axis('off')  # Hides the axes

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

plt.title("Inverted Right-Angled Triangle Pattern Plot", fontsize=14)  # Adds title

plt.axis('off') → Removes the x and y axes for a cleaner look.

plt.gca().set_aspect('equal', adjustable='datalim') → Ensures that dot spacing remains uniform.

plt.title("Inverted Right-Angled Triangle Pattern Plot", fontsize=14) → Adds a title with font size 14.

7. Displaying the Final Output

plt.show()

Renders and displays the triangle pattern.