import matplotlib.pyplot as plt
from random_walk import Random_Walk
while True:
walking = Random_Walk(50000)
walking.fill_walk()
point_numbers = list(range(walking.num_points))
plt.scatter(walking.xValues,
walking.yValues,
c=point_numbers,
cmap=plt.cm.Blues,
edgecolor='none',
s=1)
plt.axes().get_xaxis().set_visible(False)
plt.axes().get_yaxis().set_visible(False)
#plt.figure(figsize=(10,6))
plt.show()
q = input("Stop the program?")
if q.lower() == "yes":
break
import matplotlib.pyplot as plt
from random_walk import Random_Walk
rw = Random_Walk(5000)
rw.fill_walk()
plt.scatter(rw.x_values, rw.y_values, s=5)
plt.show()
#This creates a random 'walk' graph as written in the rw class
point_numbers = list(range(rw.num_points))
plt.scatter(rw.x_values,
rw.y_values,
c=point_numbers,
cmap=plt.cm.Blues,
edgecolor='none',
s=5)
plt.show()
#This first generation uses the Blues colormap tied to the points in the class
plt.scatter(rw.x_values,
rw.y_values,
c=point_numbers,
cmap=plt.cm.Blues,
edgecolor='none',
s=5)
plt.scatter(0, 0, c='green', edgecolor='none', s=75)
plt.scatter(rw.x_values[-1], rw.y_values[-1], c='red', edgecolor='none', s=75)
plt.show()
#This one plots the beginning and end of the walk specifically
plt.axes().get_xaxis().set_visible(False)