Created
April 23, 2020 20:50
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Random Walk Function
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import numpy as np | |
import random | |
import matplotlib.pyplot as plt | |
def randomWalk(L): | |
# S is a 2d array where x = row1= S[0][:], y = row2 = S[1][:] | |
S = np.zeros(shape=(2,L+1)) | |
directions = [1,2,3,4] | |
for i in range(1, L+1): | |
direction = np.random.choice(directions) | |
if direction == 1: | |
S[0][i] = S[0][i-1] + 1; S[1][i] = S[1][i-1] # go right | |
elif direction == 2: | |
S[0][i] = S[0][i-1] - 1; S[1][i] = S[1][i-1] # go left | |
elif direction == 3: | |
S[0][i] = S[0][i-1]; S[1][i] = S[1][i-1] + 1 # go up | |
else: | |
S[0][i] = S[0][i-1]; S[1][i] = S[1][i-1] - 1; # go down | |
samplePath = S | |
return samplePath | |
n = 100; | |
path = randomWalk(2*n) | |
print(path) | |
x = path[0][:]; y = path[1][:]; | |
plt.figure(1) | |
plt.plot(x,y,'-') | |
plt.ylabel('y') | |
plt.xlabel('x') | |
plt.show() | |
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