1. Create the RandomWalk() class
from random import choice class RandomWalk(): """A class to generate random walks.""" def __init__(self, num_points=5000): """Initialize attributes of a walk.""" self.num_points = num_points # All walks start at (0, 0). self.x_values = [0] self.y_values = [0] def fill_walk(self): """Calculate all the points in the walk.""" # Keep taking steps until the walk reaches the desired length. while len(self.x_values) < self.num_points: # 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 # Reject moves that go nowhere. if x_step == 0 and y_step == 0: continue # Calculate the next x and y values. 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)
2. Draw a random walk graph
import matplotlib.pyplot as plt from random_walk import RandomWalk rw=RandomWalk() rw.fill_walk() plt.scatter(rw.x_values,rw.y_values,s=15) plt.show()
3. Set the style of the random walk graph
Use a colormap to indicate the order of points in the walk, and remove the black outline of each point.
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=15)
4. Redraw the start and end points & hide the axes
plt.scatter(0,0,c='green',edgecolor='none',s=100) plt.scatter(rw.x_values[-1],rw.y_values[-1],c='red',edgecolor='none',s=100) plt.axes().get_xaxis().set_visible(False) plt.axes().get_yaxis().set_visible(False)
5. Increase the number of points & draw window size
First modify the definition of the random walk class:
def __init__(self, num_points=50000):
The complete code of rw_visual.py is given below:
import matplotlib.pyplot as plt from random_walk import RandomWalk rw=RandomWalk() rw.fill_walk() plt.figure(dpi=128,figsize=(10,6)) 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=1) plt.scatter(0,0,c='green',edgecolor='none',s=100) plt.scatter(rw.x_values[-1],rw.y_values[-1],c='red',edgecolor='none',s=100) plt.axes().get_xaxis().set_visible(False) plt.axes().get_yaxis().set_visible(False) plt.show()