Created
December 18, 2010 11:04
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""" | |
Implement the sierpenskis triangle by using the recuresive algorithm of removing a triangle step by step | |
""" | |
import random | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import matplotlib.patches as patches | |
import math | |
def triangle(vertices,ax): | |
""" | |
Take the arguments of vertices (np.array) and axis object and gives out triangle | |
formed with midpoints and returns vertices of midpoints | |
""" | |
l=[] | |
l.append((vertices[0]+vertices[1])/2) | |
l.append((vertices[1]+vertices[2])/2) | |
l.append((vertices[0]+vertices[2])/2) | |
ax.add_patch(patches.Polygon(l,fill=True,facecolor='w')) | |
return l | |
def sierper(verts,ax,count=0): | |
""" | |
Gives out a serper with the vertices given | |
""" | |
if count==7: | |
return | |
count=count+1 | |
vertices=triangle(verts,ax) | |
list1=np.array([[0,0,2],[1,0,1],[2,1,2]]) | |
for i in range(3): | |
temp_array=np.array([verts[list1[i,0]],vertices[list1[i,1]],vertices[list1[i,2]]]) | |
sierper(temp_array,ax,count) | |
def main(): | |
fig = plt.figure() | |
ax = fig.add_subplot(111) | |
verts = np.array([[0.0, 1.0], [-math.sqrt(3)/2, -0.5], [math.sqrt(3)/2, -0.5]]) | |
poly = patches.Polygon(verts,facecolor='k',fill=True) | |
ax.add_patch(poly) | |
ax.set_xlim(verts[:,0].min()-0.1,verts[:,0].max()+0.1) | |
ax.set_ylim(verts[:,1].min()-0.1,verts[:,1].max()+0.1) | |
sierper(verts,ax) | |
plt.show() | |
if __name__=="__main__": | |
main() |
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