全球观焦点:python数据可视化pygal模拟掷骰子实现示例
来源:脚本之家    时间:2022-06-26 06:08:02


【资料图】

目录
可视化包Pygal生成可缩放矢量图形文件分析结果,计算每个点数出现的次数绘制直方图同时投掷两个骰子同时投掷两个面数不同骰子

可视化包Pygal生成可缩放矢量图形文件

可以在尺寸不同的屏幕上自动缩放,显示图表

#安装pygal
pip install pygal
"""
想要了解Pygal可生成什么样的图表,可访问http://www.pygal.org/
单击document,点击chart types,每个示例都包含源代码
"""
from random import randint
#创建一个骰子的类
class Die():
    def __init__(self,num_sides = 6):
        self.num_sides = num_sides
    def roll(self):
        #返回一个位于1和骰子面数之间的随机值
        return randint(1, self.num_sides)
#掷骰子
die = Die()
#创建一个列表,将结果存储在一个列表中
results = []
 #投100次   
for roll_num in range(100):
    result = die.roll()
    results.append(result)
print(results)
[3, 4, 2, 2, 6, 5, 5, 5, 2, 3, 1, 4, 3, 2, 1, 2, 3, 6, 6, 5, 5, 3, 2, 3, 1, 1, 4, 1, 4, 6, 1, 6, 2, 3, 4, 6, 2, 5, 5, 1, 6, 1, 5, 4, 3, 3, 4, 5, 6, 3, 5, 1, 4, 3, 5, 6, 6, 6, 4, 6, 5, 6, 5, 4, 6, 3, 1, 4, 1, 4, 2, 1, 1, 4, 4, 4, 2, 3, 1, 4, 6, 2, 1, 5, 6, 2, 2, 6, 6, 3, 6, 2, 6, 6, 4, 4, 2, 1, 1, 6]

分析结果,计算每个点数出现的次数

frequencies = []
for value in range(1, die.num_sides+1):
    frequency = results.count(value)
    frequencies.append(frequency)
print(frequencies)
[10, 23, 13, 9, 26, 19]

绘制直方图

import pygal
hist = pygal.Bar()
hist.title = "results of rolling one d6 100 times"
hist.x_lables = ["1", "2", "3", "4", "5", "6"]
hist.x_title = "result"
hist.y_title = "frequency of result"
hist.add("d6", frequencies)
#将图渲染为SVG文件,需要打开浏览器,才能查看生成的直方图
hist.render_to_file("die_visual.svg")

同时投掷两个骰子

from random import randint
#创建一个骰子的类
class Die():
    def __init__(self,num_sides = 6):
        self.num_sides = num_sides
    def roll(self):
        #返回一个位于1和骰子面数之间的随机值
        return randint(1, self.num_sides)
#掷骰子
die1 = Die()
die2 = Die()
#创建一个列表,将结果存储在一个列表中
results = []
 #投100次   
for roll_num in range(100):
    result = die1.roll() + die2.roll()
    results.append(result)
print(results)
#分析结果,计算每个点数出现的次数
frequencies = []
max_result = die1.num_sides + die2.num_sides
for value in range(1, max_result+1):
    frequency = results.count(value)
    frequencies.append(frequency)
print(frequencies)
#绘制直方图
import pygal
hist = pygal.Bar()
hist.title = "results of rolling one d6 dice 100 times"
hist.x_lables = ["2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12"]
hist.x_title = "result"
hist.y_title = "frequency of result"
hist.add("d6 + d6", frequencies)
#将图渲染为SVG文件,需要打开浏览器,才能查看生成的直方图
hist.render_to_file("die_visual.svg")
[4, 7, 4, 5, 8, 4, 3, 6, 8, 9, 8, 11, 9, 11, 8, 8, 5, 6, 10, 5, 11, 7, 4, 3, 12, 12, 7, 2, 4, 9, 9, 5, 7, 10, 4, 7, 4, 6, 5, 6, 7, 2, 7, 9, 7, 6, 11, 5, 9, 6, 11, 4, 8, 10, 7, 9, 5, 4, 3, 7, 4, 10, 5, 7, 2, 6, 4, 2, 2, 5, 5, 9, 6, 3, 6, 10, 12, 7, 4, 11, 8, 6, 10, 5, 7, 5, 5, 7, 9, 4, 11, 6, 7, 8, 6, 11, 6, 4, 3, 12]
[0, 5, 5, 14, 13, 13, 15, 8, 9, 6, 8, 4]

同时投掷两个面数不同骰子

from random import randint
#创建一个骰子的类
class Die():
    def __init__(self,num_sides = 6):
        self.num_sides = num_sides
    def roll(self):
        #返回一个位于1和骰子面数之间的随机值
        return randint(1, self.num_sides)
#掷骰子
die1 = Die()
die2 = Die(10)
#创建一个列表,将结果存储在一个列表中
results = []
 #投100次   
for roll_num in range(100):
    result = die1.roll() + die2.roll()
    results.append(result)
print(results)
#分析结果,计算每个点数出现的次数
frequencies = []
max_result = die1.num_sides + die2.num_sides
for value in range(1, max_result+1):
    frequency = results.count(value)
    frequencies.append(frequency)
print(frequencies)
#绘制直方图
import pygal
hist = pygal.Bar()
hist.title = "results of rolling one d10 dice 100 times"
hist.x_lables = ["2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14","15","16"]
hist.x_title = "result"
hist.y_title = "frequency of result"
hist.add("d6 + d10", frequencies)
#将图渲染为SVG文件,需要打开浏览器,才能查看生成的直方图
hist.render_to_file("die_visual.svg")
[5, 3, 6, 13, 8, 9, 10, 11, 11, 4, 5, 14, 11, 10, 11, 8, 14, 12, 16, 8, 9, 11, 7, 11, 9, 2, 8, 9, 9, 10, 7, 8, 12, 11, 8, 12, 9, 9, 10, 11, 8, 14, 10, 12, 10, 7, 12, 5, 4, 8, 6, 7, 7, 11, 9, 16, 6, 13, 6, 10, 6, 7, 16, 9, 14, 5, 7, 12, 8, 9, 11, 11, 6, 11, 5, 8, 11, 16, 4, 10, 5, 10, 13, 4, 9, 9, 11, 9, 11, 13, 7, 13, 13, 5, 5, 4, 5, 3, 12, 14]
[0, 1, 2, 5, 9, 6, 8, 10, 13, 9, 15, 7, 6, 5, 0, 4]

以上就是python数据可视化pygal模拟掷骰子实现示例的详细内容,更多关于python pygal模拟掷骰子的资料请关注脚本之家其它相关文章!

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