def show_one_die_bar(numbers, num_sides=6):
"""投掷骰子numbers次，看每个面出现的次数，用直方图显示结果"""
die = Die(num_sides)
results = []
title_num_sides = "D" + str(num_sides)
# 投掷骰子，把结果保存在results中
for number in range(numbers):
results.append(die.roll())
# 分析结果
frequencies = []
for value in range(1, die.num_sides+1):
frequencies.append(results.count(value))
# 显示结果在Console窗口
#print(results)
#print(frequencies)
# 对结果可视化
hist = Bar()
hist.title = "Results of rolling one " + title_num_sides + " " + str(numbers) + " times"
hist.x_labels = [str(num) for num in range(1,num_sides + 1)]
hist.x_title = "Result"
hist.y_title = "Frequency of Result"
hist.add(title_num_sides, frequencies)
hist.render_to_file("die_visual_" + title_num_sides + "_"
+ str(numbers) + ".svg")
def main():
# Set the dice up
numSides = 20
die1 = Die(numSides)
die2 = Die(numSides)
numRolls = 100000
# Roll the die numRoll times and store the sum of the two.
results = []
for roll in range(numRolls):
result = die1.roll() + die2.roll()
results.append(result)
# Anaylizing the results from above.
frequencies = []
maxResult = die1.numSides + die2.numSides
for value in range(2, maxResult + 1):
frequency = results.count(value)
frequencies.append(frequency)
# Create a graph from the results.
graph = Bar()
graph.title = f'Results of rolling two D{numSides} die {numRolls} times.'
# Create the x labels
graph.x_labels = []
for x in range(2, maxResult + 1):
graph.x_labels.append(f'{x}')
# Add axii titles.
graph.x_title = 'Result'
graph.y_title = 'Frequency of Result'
graph.add(f'D{numSides} + D{numSides}',
frequencies) # Add teh frequencies to the graph
# Get the script directory and add the file name to it.
filePath = f'{path.dirname(__file__)}/d{numSides}_dice_simulation.svg'
graph.render_to_file(filePath) # Create the visual file.
def show_two_die_bar(numbers, num_sides1=6, num_sides2=6):
"""投掷骰子numbers次，看每个面出现的次数，用直方图显示结果"""
die1 = Die(num_sides1)
title_num_sides1 = "D" + str(num_sides1)
die2 = Die(num_sides2)
title_num_sides2 = "D" + str(num_sides2)
results = []
# 投掷两个骰子，把相加结果保存在results中
for number in range(numbers):
results.append(die1.roll() + die2.roll())
# 分析结果
max_result = num_sides1 + num_sides2
min_result = 2
frequencies = []
for value in range(min_result, max_result+1):
frequencies.append(results.count(value))
# 显示结果在Console窗口
#print(results)
#print(frequencies)
# 对结果可视化
hist = Bar()
if title_num_sides1 == title_num_sides2:
hist.title = ("Results of rolling two " + title_num_sides1
+ " " + str(numbers) + " times")
else:
hist.title = ("Results of rolling one " + title_num_sides1
+ " and one " + title_num_sides2 + " " + str(numbers) + " times")
hist.x_labels = [str(num) for num in range(min_result, max_result+1)]
hist.x_title = "Result"
hist.y_title = "Frequency of Result"
hist.add(title_num_sides1 + " + " + title_num_sides2, frequencies)
hist.render_to_file("die_visual_" + title_num_sides1 + "_"
+ title_num_sides2 + "_" + str(numbers) + ".svg")
else:
roll = 2000
print(
'Input was not provided or invalid, so the default value of 1,000 will be used.'
)
L = sorted(L)
result = []
for i in range(roll):
sums = 0
for j in range(len(L)):
sums += randint(1, L[j])
result.append(sums)
range_of_sums = list(set(result))
counts = [result.count(i) for i in range_of_sums]
counts = [{
'value': count,
'label': f'Frequency: {count / roll:.2f}'
} for count in counts]
histogram = Bar(style=Style(colors=('#228B22', ), major_label_font_size=12),
show_legend=False)
histogram.title = f'Simulation for {roll} rolls of the dice: {sorted(L)}'
histogram.x_labels = [str(i) for i in range_of_sums]
histogram.x_title = 'Possible sums'
histogram.y_title = 'Counts'
histogram.add('', counts)
histogram.render_to_file('dice_rolls.svg')
die_1 = Die()
die_2 = Die(10)
#Roll the dice some times and stores it in a list
results = []
for roll_num in range(50000):
result = die_1.roll() + die_2.roll()
results.append(result)
#Analise the results
max_result = die_1.sides + die_2.sides
frequencies = []
for value in range(2, max_result + 1):
frequency = results.count(value)
frequencies.append(frequency)
hist = Bar()
hist.title = 'Result of rolling a D6 and a D10 50.000 times'
hist.x_labels = [str(i) for i in range(2, max_result + 1)]
hist.x_title = 'Result'
hist.y_title = 'Frequency of Result'
hist.add('D6 + D10', frequencies)
hist.render_to_file('different_dice_visual.svg')
sum = 0
for frequency in frequencies:
sum += frequency
print(sum)
from die import Die
from pygal import Bar
#Creates two D6 dice
die_1 = Die()
die_2 = Die()
times = 1000
#Roll the dice one thousand times
results = [die_1.roll() + die_2.roll() for _ in range(times)]
#Analize the results
max_result = die_1.sides + die_2.sides
frequencies = [results.count(value) for value in range(2, max_result + 1)]
#Visualize the results
hist = Bar()
hist.title = 'Results of rolling a two D5 dice ' + str(times) + ' times'
hist.x_labels = [str(i) for i in range(2, 13)]
hist.x_title = 'Sum of Sides'
hist.y_title = 'Frequency of Sum'
hist.add('D6 + D6', frequencies)
hist.render_to_file('dice_visual.svg')
from die import Die
from pygal import Bar
#Creates two D6 dice (D6 == die of 6 sides)
die = Die()
times = 1000
#Roll the die and store the results in a list
results = [die.roll() for roll_num in range(times)]
#Analize the results
frequencies = [results.count(value) for value in range(1, die.sides + 1)]
#Visualizes the results
hist = Bar()
hist.title = 'Results of rolling one D6 die ' + str(times) + ' times'
hist.x_labels = [str(i) for i in range(1, 7)]
hist.x_title = 'Sides'
hist.y_title = 'Frequency of Side'
#add will add automatically the y_labels
hist.add('D6', frequencies)
hist.render_to_file('die_visual.svg')
from die import Die
from pygal import Bar
die_1 = Die()
# 十面骰子
die_2 = Die(10)
results = []
frequencies = []
for roll in range(10000):
result = die_1.roll() + die_2.roll()
results.append(result)
max_result = die_1.num_sides + die_2.num_sides
for value in range(2, max_result + 1):
frequency = results.count(value)
frequencies.append(frequency)
hist = Bar()
hist.title = "Results of rolling a D6 and a D10 10000 times."
# 随着数据的增大，最好利用循环生成x坐标列表
hist.x_labels = ['2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12']
hist.x_title = "Result"
hist.y_title = "Frequency of Results"
hist.add("D6+D10", frequencies)
hist.render_to_file("die_simulation_pro.svg")
from throw_dice.die import Die
from pygal import Bar
# создание кубиков
die_1 = Die(8)
die_2 = Die(8)
# моделирование серии бросков с сохранением данных
max_throws = 10000
results = [die_1.roll() + die_2.roll() for roll_num in range(max_throws)]
print(results)
# анализ результатов
max_result = die_1.num_sides + die_2.num_sides
frequencies = [results.count(value) for value in range(2, max_result + 1)]
print(frequencies)
# визуализация результатов
histogram = Bar()
histogram.title = f"Результаты брасания двух кубиков {max_throws} раз"
histogram.x_labels = [num for num in range(2, max_result + 1)]
histogram.x_title = "Сумма выпадений"
histogram.y_title = "Количество выпадений"
histogram.add("Сумма граней кубиков", frequencies)
histogram.render_to_file('dice_visual.svg')
xlab = []
items = []
begin = lb
end = ub
while count[begin] == 0:
begin += 1
while count[end] == 0:
end -= 1
for i in range(begin, end):
xlab.append(i)
dic = {"value": count[i],
"label": f"Frequency: {count[i] / n:.2f}"}
items.append(dic)
#
# Render
barch = Bar()
barch.title = f"Simulation for {n} rolls of the dice: {dice}"
barch.x_labels = xlab
barch.x_title = "Possible sums"
barch.y_title = "Counts"
barch.show_legend = False
barch.force_uri_protocol = "http"
barch.add('', items)
barch.style = Style(colors=("#228B22",),
label_font_size=12)
barch.render()
barch.render_to_file("dice_rolls.svg")
#
# Open browser window
open_new_tab("file://" + path.realpath("dice_rolls.svg"))
"""Determine a value based on its percentage."""
p_index = int(p * len(x))
return str(sorted(x)[p_index])
##############
# Dispersion #
##############
def data_range(x):
return str(max(x) - min(x))
# Execute tests and save the results.
with open('data.txt', 'w') as f:
f.write('Two D6 Analysis')
f.write('\nMean result: ' + mean(results))
f.write('\nMedian result: ' + median(results))
f.write('\nQuantile result: ' + quantile(results, .90))
f.write('\nData Range: ' + data_range(results))
# Visualize the results.
hist = Bar()
hist.title = 'Results of rolling 2d6 1,000,000 times.'
hist.x_labels = [i for i in range(2, die1.num_sides * 2 + 1)]
hist.x_title = 'Result'
hist.y_title = 'Frequency of Result'
hist.add('2d6', frequencies)
hist.render_to_file('test.svg')
