random_walk.py
from random import choice
class RandomWalk():
""" Generate random walk date class """
def __init__(self,num_points=5000):
""" initialise random walk date Class """
self.num_points = num_points
-sharpall random walk start from ( 0 , 0 )
self.x_values = [0]
self.y_values = [0]
def fill_walk(self):
""" calculate all points contained in random walk """
-sharp~ Keep taking steps until the walk reaches the desired length.
while len(self.x_values) < self.num_points:
-sharp~Decide which direction to go, and how far to go in that direction.
x_direction = choice([1,-1])
x_distance = choice([0,1,2,3,4])
x_step = x_direction * x_distance
y_direction = choice([1,-1])
y_distance = choice([0,1,2,3,4])
y_step = y_direction * y_distance
if x_step ==0 and y_step ==0:
continue
next_x = self.x_values[-1]+x_step
next_y = self.y_values[-1]+y_step
self.x_values.append(next_x)
self.y_values.append(next_y)
rw_visual.py
import matplotlib.pyplot as plt
from random_walk import RandomWalk
while True:
-sharpcreate an instance of randomwalk and draw the points contained in randomwalk
rw = RandomWalk(50000)
rw.fill_walk()
-sharpset the size of window
plt.figure(dpi=128, figsize=(8 ,6))
-sharppainting the point and appared it
point_numbers = list(range(rw.num_points))
plt.scatter(rw.x_values, rw.y_values, c=point_numbers,
cmp=plt.cm.Blues, edgecolor = "none" ,s=1)
-sharpstart point and end point
plt.scatter(0, 0,c="green", edgecolors="none", s=50)
plt.scatter(rw.x_values[-1], rw.y_values[-1], c="red",
edgecolor = "none" ,s=50)
-sharphide axss
plt.axes().get_xaxis().set_visible(False)
plt.axes().get_yaxis().set_visible(False)
plt.show()
keep_running = input("Make another walk(y/n):")
if keep_running =="n":
break