import matplotlib.pyplot as plt

x_values=list(range(1, 5000))

y_values=[pow(x, 3) for x in x_values]

plt.scatter(x_values, y_values, c=y_values, cmap=plt.cm.Blues, edgecolor='none', s=40)

# 设置标题和样式

plt.title("Square Numbers", fontsize=24)

plt.xlabel("Value", fontsize=14)

plt.ylabel("Square of Value", fontsize=14)

# 设置刻度标记的大小

plt.tick_params(axis='both', which='major', labelsize=14)

plt.show()

# 简单的折线图

import matplotlib.pyplot as plt

input_values=[1, 2, 3, 4, 5 ]

squares = [1, 4, 9, 16, 25]

# 绘制线条的粗细

plt.plot(input_values, squares, linewidth=5)

# 设置图表标题，并给坐标轴加上标签

plt.title("Square Numbers", fontsize=24)

plt.xlabel("Value", fontsize=14)

plt.ylabel("Square of Value", fontsize=14)

# 设置刻度标记的大小，axis='both' 表示指定的实参影响 x 轴和 y 轴上的刻度

plt.tick_params(axis='both', labelsize=14)

plt.show()

# 散点图

import matplotlib.pyplot as plt

x_values = list(range(1, 1001))

y_values = [x**2 for x in x_values]

# c：颜色

#plt.scatter(x_values, y_values, c='red', edgecolor='none', s=40)

#plt.scatter(x_values, y_values, c=(0, 0, 8), edgecolor='none', s=40)

plt.scatter(x_values, y_values, c=y_values, cmap=plt.cm.Blues, edgecolor='none', s=40)

# 设置标题和样式

plt.title("Square Numbers", fontsize=24)

plt.xlabel("Value", fontsize=14)

plt.ylabel("Square of Value", fontsize=14)

# 设置刻度标记的大小

plt.tick_params(axis='both', which='major', labelsize=14)

plt.show()

# 保存图表

#plt.savefig('squared_plot.png', bbox_inches='tight')

from random import choice

class RandomWalk():

    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):

        # 不断漫步，直到列表达到指定的长度

        while len(self.x_values) < self.num_points:

            x_step = self.get_step();

            y_step = self.get_step();

            # 拒绝原地踏步

            if x_step == 0 and y_step == 0:

                continue

            # 计算下一个点的 x 和 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)

    def get_step(self):

        # 决定前进方向以及沿这个方向前进的距离

        direction = choice([1, -1])  # 随机选 1 或 -1

        distance = choice([0, 1, 2, 3, 4])  # 随机选 0, 1, 2, 3, 4

        return direction * distance  # 正数：右移，负数：左移

import matplotlib.pyplot as plt

from 随机漫步.random_walk import RandomWalk

while True:

    # 创建一个 RandomWalk 实例，并将其包含的点都绘制出来

    rw = RandomWalk(5000)

    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)

    # 设置绘图窗口的尺寸

    #plt.figure(dpi=128, figsize=(10, 6))

    # 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)

    #plt.plot(rw.x_values, rw.y_values, linewidth=10)

    # 隐藏坐标轴

    plt.axes().get_xaxis().set_visible(False)

    plt.axes().get_yaxis().set_visible(False)

    plt.show()

    keep_running = input("继续？（y/n）：")

    if keep_running == 'n':

        break

from random import randint

class Die():

    # 表示一个骰子类

    def __init__(self, num_sides=6):

        # 6 面

        self.num_sides = num_sides

    def roll(self):

        # 返回 1~6

        return randint(1, self.num_sides)

import pygal

from 骰子.die import Die

# 创建一个 D6

die = Die()

results = []

for roll_num in range(1000):

    result = die.roll()

    results.append(result)

frequencies = []

for value in range(1, die.num_sides+1):

    # 计算某个值出现同样的次数

    frequency = results.count(value)

    frequencies.append(frequency)

# 对结果进行可视化

hist = pygal.Bar()

hist.title = "D6 1000次："

hist.x_labels = [str(num) for num in range(1, 7)] #['1', '2', '3', '4', '5', '6']

hist.x_title = "结果"

hist.y_title = "概率"

hist.add('D6', frequencies)

hist.render_to_file('images/die_visual.svg')

import pygal

from 骰子.die import Die

# 创建 2 个 D6

die_1 = Die()

die_2 = Die()

results = []

for roll_num in range(1000):

    result = die_1.roll() + die_2.roll()

    results.append(result)

frequencies = []

max_results = die_1.num_sides + die_2.num_sides

for value in range(2, max_results+1):

    # 计算某个值出现同样的次数

    frequency = results.count(value)

    frequencies.append(frequency)

# 对结果进行可视化

hist = pygal.Bar()

hist.title = "D6 100次："

hist.x_labels = [str(num) for num in range(1, 13)] #['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12']

hist.x_title = "结果"

hist.y_title = "出现的次数"

hist.add('D6 + D6', frequencies)

hist.render_to_file('images/dice_visual.svg')

import pygal

from 骰子.die import Die

# 创建一个 D6 和 D10

die_1 = Die()

die_2 = Die(10)

results = []

for roll_num in range(5000):

    result = die_1.roll() + die_2.roll()

    results.append(result)

frequencies = []

max_results = die_1.num_sides + die_2.num_sides

for value in range(2, max_results+1):

    # 计算某个值出现同样的次数

    frequency = results.count(value)

    frequencies.append(frequency)

# 对结果进行可视化

hist = pygal.Bar()

hist.title = "5000 次：D6 + D10 的结果。"

hist.x_labels = [str(num) for num in range(2, 17)]

hist.x_title = "结果"

hist.y_title = "重复出现的次数"

hist.add('D6 + D10', frequencies)

hist.render_to_file('images/different_visual.svg')