Right-angle Triangle 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(i + 1):

        plt.scatter(j, -i, s=500, c='green')

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("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 the pyplot module from Matplotlib, which is used for plotting graphs.

2. Defining the Number of Rows

rows = 5

The variable rows is set to 5, meaning the triangle will have 5 rows.

3. Creating the Figure

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

This creates a 6x6 inch figure to ensure the plot is properly sized.

4. Generating the Right-Angled Triangle Pattern Using Nested Loops

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

    for j in range(i + 1):  # Number of dots increases in each row

        plt.scatter(j, -i, s=500, c='green')  # Green dots at (j, -i)

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

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

Row 0 → 1 dot

Row 1 → 2 dots

Row 2 → 3 dots

Row 3 → 4 dots

Row 4 → 5 dots

plt.scatter(j, -i, s=500, c='green') plots a green dot at (j, -i).

j represents the horizontal (x-axis) position.

-i represents the vertical (y-axis) position, using negative values to start from the top.

s=500 sets the dot size.

c='green' sets the dot color to green.

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

These ensure that the dots fit well within the figure.

6. Removing the Axes & Formatting the Plot

plt.axis('off')  # Removes the axis

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

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

plt.axis('off') removes the x and y axes.

plt.gca().set_aspect('equal', adjustable='datalim') ensures that the spacing between dots remains uniform.

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

7. Displaying the Plot

plt.show()

Renders and displays the final pattern.