def test_bar_percent_difference():
bar = Bar()
rng = [-3, -32, -39]
bar.add('test1', rng)
bar.add('test2', map(abs, rng))
bar.x_labels = map(str, rng)
barpercent = Bar(percent_values=True)
rng = [-3, -32, -39]
barpercent.add('test1', rng)
barpercent.add('test2', map(abs, rng))
barpercent.x_labels = map(str, rng)
assert (bar != barpercent)
def test_bar_percent_difference():
"""Tests the difference between percent labeled graphs and unlabeled graphs"""
bar = Bar()
rng = [-3, -32, -39]
bar.add('test1', rng)
bar.add('test2', map(abs, rng))
bar.x_labels = map(str, rng)
barpercent = Bar(percent_values=True)
rng = [-3, -32, -39]
barpercent.add('test1', rng)
barpercent.add('test2', map(abs, rng))
barpercent.x_labels = map(str, rng)
assert (bar != barpercent)
def test_long_labels():
bar = Bar()
bar.add("Long", [2, None, 12])
bar.title = "1 12 123 1234 12345 123456 1234567 12345678 123456789 1234567890"
bar.x_labels = "a" * 100, "b " * 50, "cc ! " * 20
bar.x_label_rotation = 45
return bar.render_response()
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 test_bar():
bar = Bar(dynamic_print_values=True, show_minor_x_labels=False)
bar.add('1', [1, 2, 3])
bar.add('2', [4, 5, 6])
bar.x_labels = [2, 4, 6]
bar.x_labels_major = [4]
return bar.render_response()
def test_bar_links():
bar = Bar(style=styles['neon'])
bar.js = ('http://l:2343/svg.jquery.js',
'http://l:2343/pygal-tooltips.js')
bar.add('1234', [
{'value': 10,
'label': 'Ten',
'xlink': 'http://google.com?q=10'},
{'value': 20,
'tooltip': 'Twenty',
'xlink': 'http://google.com?q=20'},
30,
{'value': 40,
'label': 'Forty',
'xlink': 'http://google.com?q=40'}
])
bar.add('4321', [40, {
'value': 30,
'label': 'Thirty',
'xlink': 'http://google.com?q=30'
}, 20, 10])
bar.x_labels = map(str, range(1, 5))
bar.logarithmic = True
bar.zero = 1
return bar.render_response()
def test_bar():
bar = Bar(dynamic_print_values=True, show_minor_x_labels=False)
bar.add('1', [1, 2, 3])
bar.add('2', [4, 5, 6])
bar.x_labels = [2, 4, 6]
bar.x_labels_major = [4]
return bar.render_response()
def test_bar_links():
bar = Bar(style=styles['neon'])
bar.js = ('http://l:2343/svg.jquery.js',
'http://l:2343/pygal-tooltips.js')
bar.add('1234', [{
'value': 10,
'label': 'Ten',
'xlink': 'http://google.com?q=10'
}, {
'value': 20,
'tooltip': 'Twenty',
'xlink': 'http://google.com?q=20'
}, 30, {
'value': 40,
'label': 'Forty',
'xlink': 'http://google.com?q=40'
}])
bar.add('4321', [
40, {
'value': 30,
'label': 'Thirty',
'xlink': 'http://google.com?q=30'
}, 20, 10
])
bar.x_labels = map(str, range(1, 5))
bar.logarithmic = True
bar.zero = 1
return bar.render_response()
def genSvg(fpath, mathd, biologyd):
keys = ['0-59']
[keys.append('%d-%d' % (val, val + 9 + (val / 90))) for val in range(60, 100, 10)]
# print(keys, type(keys))
# ['0-59', '60-69', '70-79', '80-89', '90-100'] <class 'list'>
line_chart = Bar()
# print(line_chart, type(line_chart))
# <pygal.graph.bar.Bar object at 0x02F24330> <class 'pygal.graph.bar.Bar'>
line_chart.title = 'Score Spread'
# print(line_chart.title, type(line_chart.title))
# Score Spread <class 'str'>
line_chart.x_labels = keys
# print(line_chart.x_labels, type(line_chart.x_labels))
# ['0-59', '60-69', '70-79', '80-89', '90-100'] <class 'list'>
line_chart.add('math', mathd.values())
line_chart.add('biology', biologyd.values())
# print(mathd, type(mathd))
# {'0-59': 3, '60-69': 2, '70-79': 3, '80-89': 0, '90-100': 2} <class 'dict'>
# print(mathd.values(), type(mathd.values()))
# dict_values([3, 2, 3, 0, 2]) <class 'dict_values'>
line_chart.render_to_file(fpath)
def test_long_labels():
bar = Bar()
bar.add('Long', [2, None, 12])
bar.title = (
'1 12 123 1234 12345 123456 1234567 12345678 123456789 1234567890')
bar.x_labels = 'a' * 100, 'b ' * 50, 'cc ! ' * 20
bar.x_label_rotation = 45
return bar.render_response()
def test_long_labels():
bar = Bar()
bar.add('Long', [2, None, 12])
bar.title = (
'1 12 123 1234 12345 123456 1234567 12345678 123456789 1234567890')
bar.x_labels = 'a' * 100, 'b ' * 50, 'cc ! ' * 20
bar.x_label_rotation = 45
return bar.render_response()
def test_unsorted():
bar = Bar(style=styles["neon"], human_readable=True)
bar.add("A", {"red": 10, "green": 12, "blue": 14})
bar.add("B", {"green": 11, "blue": 7})
bar.add("C", {"blue": 7})
bar.add("D", {})
bar.add("E", {"blue": 2, "red": 13})
bar.x_labels = ("red", "green", "blue")
return bar.render_response()
def test_unsorted():
bar = Bar(style=styles['neon'])
bar.add('A', {'red': 10, 'green': 12, 'blue': 14})
bar.add('B', {'green': 11, 'blue': 7})
bar.add('C', {'blue': 7})
bar.add('D', {})
bar.add('E', {'blue': 2, 'red': 13})
bar.x_labels = ('red', 'green', 'blue')
return bar.render_response()
def test_chart_renders():
line_chart = Bar(print_values=True, percent_values=True, print_values_position='top')
line_chart.title = 'Browser usage evolution (in %)'
line_chart.x_labels = map(str, range(2002, 2013))
line_chart.add('Firefox', [None, None, 0, 16.6, 25, 31, 36.4, 45.5, 46.3, 42.8, 37.1])
line_chart.add('Chrome', [None, None, None, None, None, None, 0, 3.9, 10.8, 23.8, 35.3])
line_chart.add('IE', [85.8, 84.6, 84.7, 74.5, 66, 58.6, 54.7, 44.8, 36.2, 26.6, 20.1])
line_chart.add('Others', [14.2, 15.4, 15.3, 8.9, 9, 10.4, 8.9, 5.8, 6.7, 6.8, 7.5])
assert line_chart.render()
def test_unsorted():
bar = Bar(style=styles['neon'])
bar.add('A', {'red': 10, 'green': 12, 'blue': 14})
bar.add('B', {'green': 11, 'blue': 7})
bar.add('C', {'blue': 7})
bar.add('D', {})
bar.add('E', {'blue': 2, 'red': 13})
bar.x_labels = ('red', 'green', 'blue')
return bar.render_response()
def test_chart_renders():
"""Tests that print values and percent values renders"""
line_chart = Bar(print_values=True, percent_values=True, print_values_position='top')
line_chart.title = 'Browser usage evolution (in %)'
line_chart.x_labels = map(str, range(2002, 2013))
line_chart.add('Firefox', [None, None, 0, 16.6, 25, 31, 36.4, 45.5, 46.3, 42.8, 37.1])
line_chart.add('Chrome', [None, None, None, None, None, None, 0, 3.9, 10.8, 23.8, 35.3])
line_chart.add('IE', [85.8, 84.6, 84.7, 74.5, 66, 58.6, 54.7, 44.8, 36.2, 26.6, 20.1])
line_chart.add('Others', [14.2, 15.4, 15.3, 8.9, 9, 10.4, 8.9, 5.8, 6.7, 6.8, 7.5])
assert line_chart.render()
def test_ylabels():
chart = Bar()
chart.x_labels = "Red", "Blue", "Green"
chart.y_labels = [
{"value": 0.0001, "label": "LOL"},
{"value": 0.0003, "label": "ROFL"},
{"value": 0.0004, "label": "MAO"},
{"value": 0.00045, "label": "LMFAO"},
{"value": 0.0005, "label": "GMCB"},
]
chart.add("line", [0.0002, 0.0005, 0.00035])
return chart.render_response()
def test_simple_bar():
bar = Bar()
rng = [-3, -32, -39]
bar.add('test1', rng)
bar.add('test2', map(abs, rng))
bar.x_labels = map(str, rng)
bar.title = "Bar test"
q = bar.render_pyquery()
assert len(q(".axis.x")) == 1
assert len(q(".axis.y")) == 1
assert len(q(".legend")) == 2
assert len(q(".plot .series rect")) == 2 * 3
def test_simple_bar():
bar = Bar()
rng = [-3, -32, -39]
bar.add("test1", rng)
bar.add("test2", map(abs, rng))
bar.x_labels = map(str, rng)
bar.title = "Bar test"
q = bar.render_pyquery()
assert len(q(".axis.x")) == 1
assert len(q(".axis.y")) == 1
assert len(q(".legend")) == 2
assert len(q(".plot .series rect")) == 2 * 3
def test_difference():
bar = Bar(bar_values=False)
rng = [-3, -32, -39]
bar.add('test1', rng)
bar.add('test2', map(abs, rng))
bar.x_labels = map(str, rng)
bar_labelled = Bar(bar_values=True)
rng = [-3, -32, -39]
bar_labelled.add('test1', rng)
bar_labelled.add('test2', map(abs, rng))
bar.labelled = map(str, rng)
assert bar != bar_labelled
def test_difference():
"""Tests the difference between labeled graphs and unlabeled graphs"""
bar = Bar(bar_values=False)
rng = [-3, -32, -39]
bar.add('test1', rng)
bar.add('test2', map(abs, rng))
bar.x_labels = map(str, rng)
bar_labelled = Bar(bar_values=True)
rng = [-3, -32, -39]
bar_labelled.add('test1', rng)
bar_labelled.add('test2', map(abs, rng))
bar.labelled = map(str, rng)
assert bar != bar_labelled
def test_ylabels():
chart = Bar()
chart.x_labels = 'Red', 'Blue', 'Green'
chart.y_labels = [
{'value': .0001,
'label': 'LOL'},
{'value': .0003,
'label': 'ROFL'},
{'value': .0004,
'label': 'MAO'},
{'value': .00045,
'label': 'LMFAO'},
{'value': .0005,
'label': 'GMCB'}]
chart.add('line', [.0002, .0005, .00035])
return chart.render_response()
def test_ylabels():
chart = Bar()
chart.x_labels = 'Red', 'Blue', 'Green'
chart.y_labels = [
{'value': .0001,
'label': 'LOL'},
{'value': .0003,
'label': 'ROFL'},
{'value': .0004,
'label': 'MAO'},
{'value': .00045,
'label': 'LMFAO'},
{'value': .0005,
'label': 'GMCB'}]
chart.add('line', [.0002, .0005, .00035])
return chart.render_response()
def test_bar_links():
bar = Bar(style=styles["neon"])
bar.js = ("http://l:2343/svg.jquery.js", "http://l:2343/pygal-tooltips.js")
bar.add(
"1234",
[
{"value": 10, "label": "Ten", "xlink": "http://google.com?q=10"},
{"value": 20, "tooltip": "Twenty", "xlink": "http://google.com?q=20"},
30,
{"value": 40, "label": "Forty", "xlink": "http://google.com?q=40"},
],
)
bar.add("4321", [40, {"value": 30, "label": "Thirty", "xlink": "http://google.com?q=30"}, 20, 10])
bar.x_labels = map(str, range(1, 5))
bar.logarithmic = True
bar.zero = 1
return bar.render_response()
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")
def get(self):
from pygal import Bar
path = os.path.join(base_path, 'pygal_js', 'javascripts', 'bar', 'bar_chart.svg')
config.width = 500
config.height = 400
#bar_chart = Bar(config, width=400, height=300, legend_box_size=10)
args = self.args
for k, v in args.items():
if v.isdigit():
args[k] = int(v)
bar_chart = Bar(config, **args)
data = self.args.get("data", "")
x_labels = self.args.get("x_labels", "")
bar_chart.add('Fibonacci', [int(i) for i in data.split(",")]) # Add some values
bar_chart.x_labels = x_labels.split(",")
bar_chart.render_to_file(path)
#fileio = StringIO()
#im.save(fileio, 'svg')
##im.save('img.gif', 'gif')
#im.show()
#return ''.join(char), fileio
return self.write(simplejson.dumps({"data":os.path.join(SVG_PATH, 'bar', 'bar_chart.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')
def test_bar():
bar = Bar()
bar.add('1', [1, 2, 3])
bar.add('2', [4, 5, 6])
bar.x_labels = ['a']
return bar.render_response()
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')
key=itemgetter('stargazers_count'),
reverse=True)
# получение данных для построения визуализации
names, stars_labels = [], []
for repository in all_repositories[:20]:
names.append(f"{repository['name']} ({repository['language']})")
stars_labels.append({
'value': repository['stargazers_count'],
'label': repository['description'],
'xlink': repository['html_url']
})
# задание стилей для диаграммы
my_config = Config()
my_config.x_label_rotation = 45
my_config.show_legend = False
my_config.truncate_label = 15 # сокращение длинных названий проектов
my_config.show_y_guides = False # скроем горизонтальные линии
my_config.width = 1300
my_style = style.LightenStyle('#333366', base_style=style.LightColorizedStyle)
my_style.label_font_size = 16
my_style.major_label_font_size = 20
# построение визуализации
chart = Bar(my_config, style=my_style)
chart.title = "Наиболее популярные проекты на разных языках (GitHub)"
chart.x_labels = names
chart.add('', stars_labels)
chart.render_to_file("popular_projects_on_github.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")
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"))
def test_bar_none():
bar = Bar()
bar.add('Lol', [2, None, 12])
bar.x_labels = range(1, 4)
return bar.render_response()
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')
def test_bar():
bar = Bar()
bar.add("1", [1, 2, 3])
bar.add("2", [4, 5, 6])
bar.x_labels = ["a"]
return bar.render_response()
def test_bar():
bar = Bar()
bar.add('1', [1, 2, 3])
bar.add('2', [4, 5, 6])
bar.x_labels = ['a']
return bar.render_response()
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')
"""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')
def test_bar_none():
bar = Bar()
bar.add('Lol', [2, None, 12])
bar.x_labels = range(1, 4)
return bar.render_response()
