rw_visual

import matplotlib.pyplot as plt 
from random_walk import RandomWalk 

# Create a RandWalk instance and plot all the points it contains 
rw = RandomWalk() 
rw.fill_walk() 
plt.scatter(rw.x_values,rw.y_values,c = rw.y_values,cmap=plt.cm.Blues,edgecolors="none",s=15) 
plt.show() 


while True: 
    rw = RandomWalk() 
    rw.fill_walk() 
    plt.scatter(rw.x_values, rw. y_values, c=rw.y_values, cmap=plt.cm.Blues, edgecolors="none", s=15) 
    plt.show() 

    keep_running = input("Make another walk?(y/n): ") 
    if keep_running == "n": 
        break 


"""Color the points""" 
while True: 
    rw = RandomWalk() 
    rw.fill_walk()

    point_numbers = list(range(rw.num_points)) 
    # Use color mapping to indicate the order of the points in the walk, and delete the black outline y 
    plt.scatter(rw.x_values,rw.y_values,c=point_numbers,cmap=plt. cm.Blues,edgecolors="none",s=15) 
    plt.show() 

    keep_running = input("Make another walk?(y/n): ") 
    if keep_running == "n": 
        break 

""" Starting point and ending point """ 
while True: 
    rw = RandomWalk() 
    rw.fill_walk() 

    point_numbers = list(range(rw.num_points)) 
    plt.scatter(rw.x_values,rw.y_values,c=point_numbers,cmap=plt. cm.Blues,edgecolors="none",s=15) 

    # Highlight the start and end points  
    plt.scatter(0,0,c="green",edgecolors="none",s=100)
    plt.scatter(rw.x_values[-1],rw.y_values[-1],c="red",edgecolors="none" ,s=100)

    plt.show()

    keep_running = input("Make another walk?(y/n): ")
    if keep_running == "n":
        break

"""隐藏坐标轴"""
while True:
    rw = RandomWalk()
    rw.fill_walk()

    plt.scatter(rw.x_values,rw.y_values,c="red",edgecolors="none",s=100)
    
    # 修改坐标轴的显示属性为False
    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

"""Increase the number of points """ 
rw = RandomWalk(50000)
# Increase num_points to 50000, provide more data
rw.fill_walk()

point_numbers = list(range(rw.num_points))
plt.scatter(rw.x_values,rw.y_values,c=point_numbers,cmap=plt.cm.Blues,edgecolors="none",s=1)
plt.scatter(0,0,c="green",edgecolors="none",s=10) 
plt.scatter(rw.x_values[-1],rw.y_values[-1],c="red", edgecolors="none",s=10) 
plt.show() 


"""Adjust the size to fit the screen""" 
rw = RandomWalk() 
rw.fill_walk() 

# The figure() function is used to specify the width and height of the chart, Resolution and background color 
# Specify a tuple for figsize, representing the size of the drawing window, in inches. 
# dpi indicates the resolution, such as plt.figure(dpi=128,figsize=(10,6)) 
plt.figure(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,edgecolors="none",s= 1) 
plt.show()