Python数据可视化之简单折线图的绘制

from random import choice

class RandomWalk():
    '''一个生成随机漫步数据的类'''
    def __init__(self,num_points=5000):
        '''初始化随机漫步的属性'''
        self.num_points = num_points

        # 所有随机漫步都始于(0,0)
        self.x_values = [0]
        self.y_values = [0]

from random import choice


class RandomWalk():
    '''一个生成随机漫步数据的类'''

    def __init__(self, num_points=5000):
        '''初始化随机漫步的属性'''
        self.num_points = num_points

        # 所有随机漫步都始于(0,0)
        self.x_values = [0]
        self.y_values = [0]

    def fill_walk(self):
        '''计算随机漫步包含的所有点'''

        # 不断漫步，知道列表到达指定的长度
        while len(self.x_values) < self.num_points:
            # 决定前进方向以及沿这个方向前进的距离
            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

            # 拒绝原地漫步
            if x_step == 0 and y_step == 0:
                continue

            # 计算下一个点的x,y值
            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)

import matplotlib.pyplot as plt

from random_walk import RandomWalk
# 创建一个RandomWalk实例，并将其包含的点都绘制出来
rw = RandomWalk()
rw.fill_walk()
plt.scatter(rw.x_values, rw.y_values, s=10)
plt.show()

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()
    rw.fill_walk()
    plt.scatter(rw.x_values, rw.y_values, s=10)
    plt.show()

    keep_running = input("make another walk? (y/n):")
    if keep_running.upper() == 'N':
        break

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()
    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=10)
    plt.show()

    keep_running = input("make another walk? (y/n):")
    if keep_running.upper() == 'N':
        break

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()
    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=10)
    # 突出起点和重点
    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)
    plt.show()

    keep_running = input("make another walk? (y/n):")
    if keep_running.upper() == 'N':
        break

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()
    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)
    # 突出起点和重点
    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)
    plt.show()

    keep_running = input("make another walk? (y/n):")
    if keep_running.upper() == 'N':
        break

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()
    # 设置绘图窗口的大小
    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, edgecolors='none', s=1)
    # 突出起点和重点
    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)
    plt.show()

    keep_running = input("make another walk? (y/n):")
    if keep_running.upper() == 'N':
        break