def bar_base() -> Scatter3D:
c = (
Scatter3D(init_opts=opts.InitOpts(
width="1440px", height="720px")) # bg_color="black"
.add(
series_name="",
data=data,
xaxis3d_opts=opts.Axis3DOpts(
name=config_xAxis3D,
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
yaxis3d_opts=opts.Axis3DOpts(
name=config_yAxis3D,
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
zaxis3d_opts=opts.Axis3DOpts(
name=config_zAxis3D,
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
grid3d_opts=opts.Grid3DOpts(width=100, height=100, depth=100),
)
# .render("scatter3d.html")
)
return c
def test_scatter3d_base():
data = [[
random.randint(0, 100),
random.randint(0, 100),
random.randint(0, 100)
] for _ in range(80)]
c = (Scatter3D().add("", data).set_global_opts(
visualmap_opts=opts.VisualMapOpts(range_color=Faker.visual_color)))
eq_(c.theme, "white")
eq_(c.renderer, "canvas")
c.render()
def scatter3d_base() -> Scatter3D:
data = [[
random.randint(0, 100),
random.randint(0, 100),
random.randint(0, 100)
] for _ in range(80)]
c = (Scatter3D().add("", data).set_global_opts(
title_opts=opts.TitleOpts("Scatter3D-基本示例"),
visualmap_opts=opts.VisualMapOpts(range_color=Faker.visual_color),
))
return c
def test_scatter3d_base():
data = [[
random.randint(0, 100),
random.randint(0, 100),
random.randint(0, 100)
] for _ in range(80)]
c = (Scatter3D().add("", data).set_global_opts(
visualmap_opts=opts.VisualMapOpts(range_color=Faker.visual_color)))
assert c.theme == "white"
assert c.renderer == "canvas"
c.render("render.html")
def test_scatter3d_base(fake_writer):
data = [[
random.randint(0, 100),
random.randint(0, 100),
random.randint(0, 100)
] for _ in range(80)]
c = (Scatter3D().add("", data).set_global_opts(
visualmap_opts=opts.VisualMapOpts(range_color=Faker.visual_color)))
c.render()
_, content = fake_writer.call_args[0]
assert_equal(c.theme, "white")
assert_equal(c.renderer, "canvas")
def scatter3d_base() -> Scatter3D:
Oth = Other_Url.objects.exclude(power='获取失败').exclude(server='获取失败').values()
data = []
for o in Oth:
data.append([o.get('power'),o.get('server'),o.get('status')])
c = (
Scatter3D()
.add("请求响应数据统计", data)
.set_global_opts(
title_opts=opts.TitleOpts(),
visualmap_opts=opts.VisualMapOpts(range_color=["#313695","#4575b4","#74add1","#abd9e9","#e0f3f8","#ffffbf","#fee090","#fdae61","#f46d43","#d73027","#a50026",]),
)
)
return c
def a_scatter():
data = [[
random.randint(0, 100),
random.randint(0, 80),
random.randint(0, 70)
] for i in range(80)]
sc = (Scatter3D().add('',
data,
grid3d_opts=op.Grid3DOpts(
rotate_speed=150,
is_rotate=True)).set_global_opts(
title_opts={'text': '3D散点图'},
visualmap_opts=op.VisualMapOpts(
range_color=Faker.visual_color)))
return sc
def scatter3d_muti_visualmap_channel():
data = [[
random.randint(0, 100),
random.randint(0, 100),
random.randint(0, 100)
] for _ in range(80)]
c = (Scatter3D().add("", data).set_global_opts(
title_opts=opts.TitleOpts("Scatter3D-多视觉映射通道"),
visualmap_opts=[
opts.VisualMapOpts(range_color=Faker.visual_color),
opts.VisualMapOpts(type_="size",
range_size=[10, 50],
pos_top="20%"),
],
))
return c
def scatter3d_base(f) -> Scatter3D:
data = [
[time_m_d(i.now), time_h_m(i.now), i.price]
for i in f
]
name = ["d", "h", "v"]
c = (
Scatter3D(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, width="1366px"))
.add("", data, )
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(min_=300, max_=1200),
title_opts=opts.TitleOpts(title="MC"),
toolbox_opts=opts.ToolboxOpts(feature=opts.ToolBoxFeatureOpts()),
)
)
return c.render_embed()
def scatter3d_base():
data = [
[random.randint(0, 100),
random.randint(0, 100),
random.randint(0, 100)]
for _ in range(80)
]
scatter3d = Scatter3D(init_opts=opts.InitOpts(width="1440px", height="720px"))
scatter3d.add(
"",
data,
xaxis3d_opts=opts.Axis3DOpts(type_="value"),
yaxis3d_opts=opts.Axis3DOpts(type_="value")
)
scatter3d.set_global_opts(
visualmap_opts=opts.VisualMapOpts(),
title_opts=opts.TitleOpts(title="Scatter3D-基本示例")
)
scatter3d.render("./scatter3d_base.html")
def scatter3d_base() -> Scatter3D:
# data = [
# [random.randint(0, 100), random.randint(0, 200), random.randint(0, 100)]
# for _ in range(10000)
# ]
data, max_rel = read_as_info(
'..\\000LocalData\\as_compare\\as_core_map_data_integrate20191203.csv')
c = (Scatter3D(init_opts=opts.InitOpts(
width="1080px",
height="1080px",
page_title="全球互联网网络3D散点图",
theme=ThemeType.ROMANTIC)).add(
"随机散点",
data,
grid3d_opts=opts.Grid3DOpts(width=300,
height=160,
depth=300,
rotate_speed=5,
is_rotate=True,
rotate_sensitivity=2),
xaxis3d_opts=opts.Axis3DOpts(type_="value",
name="经度",
min_=180.0,
max_=-180.0),
yaxis3d_opts=opts.Axis3DOpts(type_="value",
name="维度",
min_=-180.0,
max_=180.0),
zaxis3d_opts=opts.Axis3DOpts(type_="value",
name="连通度",
min_=0,
max_=max_rel + 1),
itemstyle_opts=opts.ItemStyleOpts()).set_global_opts(
title_opts=opts.TitleOpts("全球互联网网络3D散点图"),
visualmap_opts=opts.VisualMapOpts(
range_color=Faker.visual_color),
))
print(data)
print(Faker.visual_color)
return c
def draw():
datas = []
import csv
with open('guangdong_清洗后-新房.csv', 'r') as f:
data = csv.reader(f)
pat = re.compile('\d室\d厅')
for item in list(data)[1:]:
if pat.match(item[5]):
p = float(item[-1])
m = float(item[2][:-1])
eq = re.search(pat, item[5]).group()
datas.append([eq, p, m])
from pyecharts import options as opts
(Scatter3D().add(
series_name="",
data=datas,
xaxis3d_opts=opts.Axis3DOpts(name='配置', type_='category'),
yaxis3d_opts=opts.Axis3DOpts(name='价格', ),
zaxis3d_opts=opts.Axis3DOpts(name='面积', ),
).render("scatter3d.html"))
data = []
for i in range(len(function1_values)):
data.append((f1[i], f2[i], f3[i]))
scatter = (
Scatter3D()
.add("",data,
xaxis3d_opts=opts.Axis3DOpts(
name="Fun(1)",
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
yaxis3d_opts=opts.Axis3DOpts(
name="Fun(2)",
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
zaxis3d_opts=opts.Axis3DOpts(
name="Fun(3)",
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
# grid3d_opts=opts.Grid3DOpts(width=100, height=100, depth=100),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="Best Pareto Scatter"),
)
.render(filename)
)
os.system(filename)
len(data)
data = [int(hi.group(0)), int(lo.group(0))]
return data
# grap = Line3D()
# grap.add('2020',['9','10','11','12'],[1,2,3,6,8])
# grap.show_config()
# es = EffectScatter('tu')
# es.add_xaxis('xx',['9','10','11','12'],[1,2,3,6,8])
# grap.render()
bar = (
Scatter3D(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
# .add_xaxis(["2017", "2018", "2019", "2020"])
# .add_yaxis("10月", [5, 20, 36, 10])
# .add('北京气温',[[2019,10,10],[2020,10,11]],itemstyle_opts=opts.ItemStyleOpts(color='red'),)
# .add('北京气温',[[2019,10,3],[2020,10,4]],itemstyle_opts=opts.ItemStyleOpts(color='blue'),)
# .set_global_opts(title_opts=opts.TitleOpts(title="主标题", subtitle="副标题"))
.set_global_opts(visualmap_opts=opts.VisualMapOpts(max_=20), ))
# with open('snoop/weather/cache.html','r') as f:
# te = getTemprature(f.read())
# datas[2020] = {10,te}
# bar.add('北京气温',[[10,2020,te['low']],[10,2020,te['high']]],itemstyle_opts=opts.ItemStyleOpts(color='red'),)
# for y in range(2020,2011-1, -1):
# # y = 2019
# for m in range(9,13):
# print(f'{y}/{m}')
# time.sleep(.2)
# url = url_format.replace('%%DATE%%',f'{y}{str(m).zfill(2)}')
Scatter3D(
init_opts=opts.InitOpts(width="1440px", height="720px")
) # bg_color="black"
.add(
series_name="",
data=listd,
xaxis3d_opts=opts.Axis3DOpts(
name=config_xAxis3D,
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
yaxis3d_opts=opts.Axis3DOpts(
name=config_yAxis3D,
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
zaxis3d_opts=opts.Axis3DOpts(
name=config_zAxis3D,
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
grid3d_opts=opts.Grid3DOpts(width=100, height=100, depth=100),
)
.set_global_opts(
visualmap_opts=[
opts.VisualMapOpts(
type_="color",
is_calculable=True,
dimension=1,
pos_top="10",
max_=4/2,
range_color=[
"#1710c0",
"#0b9df0",
"#00fea8",
"#00ff0d",
"#f5f811",
"#f09a09",
"#fe0300",
],
),
opts.VisualMapOpts(
type_="size",
is_calculable=True,
dimension=2,
pos_bottom="10",
max_=4/2,
range_size=[2, 2],
),
]
)
.render("E://project/test/3dplot/scatter3d.html")
if tracelistthree not in newtracelist:
newtracelist.append(tracelistthree)
for j in range(len(newtracelist)):
for i in range(len(tracelist)):
if newtracelist[j][0] == tracelist[i][1] and newtracelist[j][
1] == tracelist[i][2] and newtracelist[j][2] == tracelist[i][3]:
newtracelist[j].append(tracelist[i][0])
break
verden = list(set(verden))
horden = list(set(horden))
newtracelist.insert(0, firstPoint)
newtracelist.append(endPoint)
print(len(newtracelist))
print(newtracelist)
print(horden)
print(verden)
# 3D散点图
page = Page() # st
data = newtracelist
range_color = [
'#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8', '#ffffbf',
'#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026'
]
scatter3D = Scatter3D() #设置图表的高和宽
scatter3D.add("", data, True, range_color) #视觉映射和颜色选择
page.add(scatter3D)
page.render()
import os
from pyecharts.charts import Scatter3D
import pyecharts.options as opts
dir = "/Users/huyelong/Desktop/homework10/data/device_motion/health/female/"
for root, dirs, files in os.walk(dir):
for file in files:
path = os.path.join(root, file)
print(path)
if path[-5:] == ".json":
with open(path, 'r', encoding='utf-8') as f:
data = json.load(f)
volume = [[i['alpha'], i['beta'], i['gamma']] for i in data]
range_color = [
'#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8',
'#ffffbf', '#fee090', '#fdae61', '#f46d43', '#d73027',
'#a50026'
]
scatter3D = (Scatter3D(init_opts=opts.InitOpts(
width="1440px", height="720px")).add(
"Sensor Data", volume).set_global_opts(
title_opts=opts.TitleOpts(title=file),
visualmap_opts=opts.VisualMapOpts(
is_show=True,
max_=max(i['gamma'] for i in data),
min_=min(i['gamma'] for i in data),
range_color=range_color)).render(path[:-5] +
".html"))
Scatter3D() # bg_color="black"
.add(
series_name="",
data=data,
xaxis3d_opts=opts.Axis3DOpts(
name=config_xAxis3D,
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
yaxis3d_opts=opts.Axis3DOpts(
name=config_yAxis3D,
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
zaxis3d_opts=opts.Axis3DOpts(
name=config_zAxis3D,
type_="value",
# textstyle_opts=opts.TextStyleOpts(color="#fff"),
),
grid3d_opts=opts.Grid3DOpts(width=100, height=100, depth=100),
).set_global_opts(visualmap_opts=[
opts.VisualMapOpts(
type_="color",
is_calculable=True,
dimension=3,
pos_top="10",
max_=79 / 2,
range_color=[
"#1710c0",
"#0b9df0",
"#00fea8",
"#00ff0d",
"#f5f811",
"#f09a09",
"#fe0300",
],
),
opts.VisualMapOpts(
type_="size",
is_calculable=True,
dimension=4,
pos_bottom="10",
max_=2.4 / 2,
range_size=[10, 40],
),
]))
(Scatter3D(init_opts=opts.InitOpts(width="1440px", height="720px")).add(
series_name="",
data=data,
xaxis3d_opts=opts.Axis3DOpts(name=config_xAxis3D, type_="value"),
yaxis3d_opts=opts.Axis3DOpts(name=config_yAxis3D, type_="value"),
zaxis3d_opts=opts.Axis3DOpts(name=config_zAxis3D, type_="value"),
grid3d_opts=opts.Grid3DOpts(width=100, height=100, depth=100),
).set_global_opts(visualmap_opts=[
opts.VisualMapOpts(
type_="color",
is_calculable=True,
dimension=3,
pos_top="10",
max_=79 / 2,
range_color=[
"#1710c0",
"#0b9df0",
"#00fea8",
"#00ff0d",
"#f5f811",
"#f09a09",
"#fe0300",
],
),
opts.VisualMapOpts(
type_="size",
is_calculable=True,
dimension=4,
pos_bottom="10",
max_=2.4 / 2,
range_size=[10, 40],
),
]).render("Scatter3d.html"))
def scatter3d_base() -> Scatter3D:
data = [
[random.randint(-10000, 10000), random.randint(-10000, 10000), random.randint(-10000, 10000)]
for _ in range(100)
]
# 求莫比乌斯环数据
# v_mobius = np.linspace(-1.0, 1.0, num=20, endpoint=True)
# u_mobius = np.linspace(0, 2 * np.pi, num=20, endpoint=True)
# x_3d = (1. + v_mobius/2. * np.cos(u_mobius/2.)) * np.cos(u_mobius)
# print(x_3d)
# y_3d = (1. + v_mobius/2. * np.cos(u_mobius/2.)) * np.sin(u_mobius)
# print(y_3d)
# z_3d = v_mobius/2. * np.sin(v_mobius/2.)
# print(z_3d)
# data = [[0, 0, 0], [100, 100, 100], [100, -100, -100]]
# print(data)
# data = []
# temp_list = []
# for iter_cnt in range(0, len(list(x_3d))):
# temp_list.append(x_3d[iter_cnt])
# temp_list.append(y_3d[iter_cnt])
# temp_list.append(x_3d[iter_cnt])
# data.append(temp_list)
# temp_list = []
print(data)
# data, max_rel = read_as_info('..\\000LocalData\\as_compare\\as_core_map_data_integrate20191203.csv')
assert isinstance(
Scatter3D(init_opts=opts.InitOpts(width="1920px", height="960px", page_title="3D散点图", theme=ThemeType.DARK))
.add("3D散点可视化",
data,
grid3d_opts=opts.Grid3DOpts(width=100, height=100, depth=100, rotate_speed=5, is_rotate=False,
rotate_sensitivity=2),
xaxis3d_opts=opts.Axis3DOpts(type_="value", name="x", textstyle_opts=opts.TextStyleOpts(color="white")),
yaxis3d_opts=opts.Axis3DOpts(type_="value", name="y", textstyle_opts=opts.TextStyleOpts(color="white")),
zaxis3d_opts=opts.Axis3DOpts(type_="value", name="z", textstyle_opts=opts.TextStyleOpts(color="white")),
itemstyle_opts=opts.ItemStyleOpts(color="white", border_width=0.01, border_color="red", area_color="blue"),
# label_opts=opts.LabelOpts(color="objectwhite")
)
.set_global_opts, )
c = (
Scatter3D(init_opts=opts.InitOpts(width="1920px", height="960px", page_title="3D散点图", theme=ThemeType.DARK))
.add("3D散点可视化",
data,
grid3d_opts=opts.Grid3DOpts(width=100, height=100, depth=100, rotate_speed=5, is_rotate=False, rotate_sensitivity=2),
xaxis3d_opts=opts.Axis3DOpts(type_="value", name="x", textstyle_opts=opts.TextStyleOpts(color="white")),
yaxis3d_opts=opts.Axis3DOpts(type_="value", name="y", textstyle_opts=opts.TextStyleOpts(color="white")),
zaxis3d_opts=opts.Axis3DOpts(type_="value", name="z", textstyle_opts=opts.TextStyleOpts(color="white")),
itemstyle_opts=opts.ItemStyleOpts(color="white", border_width=0.01, border_color="red", area_color="blue"),
# label_opts=opts.LabelOpts(color="white")
)
.set_global_opts(
title_opts=opts.TitleOpts("3D散点图"),
# visualmap_opts=opts.VisualMapOpts(range_color=Faker.visual_color),
)
)
print(data)
print(Faker.visual_color)
return c
