Пример #1
0
import matplotlib.pyplot as plt 
from random_walk import Randomwalk

# this script will visually plot the randomwalks
# generated from the random_walk.py script

# keep making new walks, as long as the program is active
while True:
    # make random walk
    rw = Randomwalk(50000) # changed the num_points from default
    rw.fill_walk()

    # plot the points in the walk
    plt.style.use('classic') 
    # to set it to system resolution: plt.subplots(figsize=(10, 6), dpi=128)
    fig, ax = plt.subplots(figsize=(10, 6), dpi=128) # set plot aspect ratio and size
    # color the points
    point_numbers = range(rw.num_points)
    # scatter plot uses x and y values from rw, size of plot is 15, and color parameters are inserted
    ax.scatter(rw.x_values, rw.y_values, c=point_numbers, cmap=plt.cm.Blues, edgecolors='none', s=5)
    # emphasize the first(Big Blue) and then the last(Big Red) points
    ax.scatter(0, 0, edgecolors='none', s=100)
    ax.scatter(rw.x_values[-1], rw.y_values[-1], c='red', edgecolors='none', s=100)
    # remove tha axes, comment out the following 2 lines if you want the 
    # axis back
    ax.get_xaxis().set_visible(False)
    ax.get_yaxis().set_visible(False)
    plt.show()

    # close the graph to queue the input prompt
    keep_running = input("Make another walk? (y/n): ")
Пример #2
0
import matplotlib.pyplot as plt
from random_walk import Randomwalk

rw = Randomwalk()
rw.fill_walk()
numwalks = list(range(rw.num_walks))
plt.scatter(rw.x_values, rw.y_values, c=numwalks, cmap=plt.cm.Blues, s=15)
plt.show()
Пример #3
0
import matplotlib.pyplot as plt

from random_walk import Randomwalk

#只要程序处于活动状态,就不断模拟随机漫步
while True:
    #创建一个Randomwalk实例,并将其包含的点都绘制出来
    rw = Randomwalk(50000)
    rw.fill_walk()

    #设置绘图窗口的尺寸
    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)

    #突出起点和终点
    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)

    #隐藏坐标轴
    plt.axes().get_xaxis().set_visible(False)
import matplotlib.pyplot as plt
from pylab import *
mpl.rcParams['font.sans-serif'] = ['SimHei']
from random_walk import Randomwalk

#随机游走循环
while True:
    #创建一个随机游走用例,并随机游走
    randomwalk=Randomwalk(50000)
    randomwalk.walk()
    #设置绘制窗口
    plt.figure(dpi=128,figsize=(100,60))
    #绘制图像
    point_numbers=list(range(randomwalk.num_points+1))
    plt.scatter(randomwalk.x_values,randomwalk.y_values,
        c=point_numbers,cmap=plt.cm.Blues,edgecolors='none',s=1)
    #重新绘制起点和终点
    plt.scatter(0,0,c='green',edgecolors='none',s=100)
    plt.scatter(randomwalk.x_values[-1],randomwalk.y_values[-1],
        c='green',edgecolors='none',s=100)
    #隐藏坐标轴
    plt.axes().get_xaxis().set_visible(False)
    plt.axes().get_yaxis().set_visible(False)
    #显示图像
    plt.show()
    keep_running=input('你愿意继续吗,请按y/n')
    if keep_running=='n':
        break