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Python | Sierpinski Carpet

  • Difficulty Level : Easy
  • Last Updated : 06 Nov, 2018

The Sierpinski Carpet is a plane fractal curve i.e. a curve that is homeomorphic to a subspace of plane. It was first described by Waclaw Sierpinski in 1916. In these type of fractals, a shape is divided into a smaller copy of itself, removing some of the new copies and leaving the remaining copies in specific order to form new shapes of fractals.

How is it constructed?
The Sierpinski Carpet starts with a square. This square is divided into nine equal parts. The centremost smaller square is removed from the original larger square. The remaining square pieces are then again divided into nine equal parts and the centermost square from each square is removed. On repeating this process, a beautiful pattern of Sierpinski Carpet is observed.

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Suppose we start with a black square.

We divide it into 9 equal pieces and remove the center square.

On further repeating the process, it results in something like this.

We can visualize this phenomenon in details in this video.

Let us see what its code looks like :

# importing necessary modules
import numpy as np
from PIL import Image
# total number of times the process will be repeated
total = 7
# size of the image
size = 3**total
# creating an image
square = np.empty([size, size, 3], dtype = np.uint8)
color = np.array([255, 255, 255], dtype = np.uint8)
# filling it black
for i in range(0, total + 1):
    stepdown = 3**(total - i)
    for x in range(0, 3**i):
        # checking for the centremost square
        if x % 3 == 1:
            for y in range(0, 3**i):
                if y % 3 == 1:
                    # changing its color
                    square[y * stepdown:(y + 1)*stepdown, x * stepdown:(x + 1)*stepdown] = color
# saving the image produced
save_file = "sierpinski.jpg"
# displaying it in console
i ="sierpinski.jpg")

Output :

This is the Sierpinski Carpet after 7 repetitions. You can get its code for other languages on rosettacode.

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