def polar_scatter() -> Polar:
data = []
for i in range(360):
theta = i
r = theta * theta
data.append([r, theta])
print(data)
save_path = "./polar_demo.csv"
write_to_csv(data, save_path)
c = (
Polar(init_opts=opts.InitOpts(width="1920px",
height="960px",
page_title="Graph-Global AS Core Map",
theme=ThemeType.DARK)).
add_schema(angleaxis_opts=opts.AngleAxisOpts(
type_="value", boundary_gap=False, start_angle=0, min_=0,
max_=360)).add(
"",
data,
type_="scatter",
# effect_opts=opts.EffectOpts(scale=10, period=5),
symbol="circle",
symbol_size=10,
label_opts=opts.LabelOpts(is_show=False)).set_global_opts(
title_opts=opts.TitleOpts(title="Polar Map")))
return c
def polar(open_file) -> Polar:
"""
根据定义好的数据格式，利用pyecharts绘制极坐标图，格式为极径、极角（0-360）
:param open_file:
:return:
"""
title_str = str(open_file).strip().split("/")[-1].split(".")[0]
title_str = "极坐标图<" + title_str + ">"
# 打开文件读取数据
data = []
file_in = open(open_file, "r", encoding="utf-8")
for line in file_in.readlines():
line = line.strip().split(",")
data.append(line)
c = (Polar(init_opts=opts.InitOpts(
width="1900px",
height="900px",
page_title=title_str,
theme=ThemeType.DARK)).add_schema(angleaxis_opts=opts.AngleAxisOpts(
type_="value", boundary_gap=False, start_angle=0, min_=0,
max_=360)).add(
"",
data,
type_="scatter",
symbol="circle",
symbol_size=10,
label_opts=opts.LabelOpts(is_show=False)).set_global_opts(
title_opts=opts.TitleOpts(title=title_str)))
return c
def drawer2(stage_name, data):
c_schema = [
{
"name": "乐",
"max": 0.55,
"min": 0
},
{
"name": "好",
"max": 0.55,
"min": 0
},
{
"name": "哀",
"max": 0.55,
"min": 0
},
{
"name": '恶',
"max": 0.55,
"min": 0
},
{
"name": "惧",
"max": 0.55,
"min": 0
},
]
c = (Radar().set_colors(["#CC3300"]).add_schema(
schema=c_schema,
shape="circle",
center=["50%", "50%"],
radius="80%",
angleaxis_opts=opts.AngleAxisOpts(
min_=0,
max_=360,
is_clockwise=False,
interval=5,
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=-4,
max_=4,
interval=2,
splitarea_opts=opts.SplitAreaOpts(
is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)),
),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=False),
splitline_opt=opts.SplitLineOpts(is_show=False),
).add(
series_name=stage_name,
data=data,
areastyle_opts=opts.AreaStyleOpts(opacity=0.1),
linestyle_opts=opts.LineStyleOpts(width=3),
).render("res\\output\\multi-emotion\\image\\" + stage_name + ".html"))
def polar_radiusaxis() -> Polar:
c = (Polar().add_schema(
radiusaxis_opts=opts.RadiusAxisOpts(data=Faker.week, type_="category"),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True, max_=10),
).add("A", [1, 2, 3, 4, 3, 5, 1], type_="bar").set_global_opts(
title_opts=opts.TitleOpts(title="Polar-RadiusAxis")).set_series_opts(
label_opts=opts.LabelOpts(is_show=True)))
return c
def polar_angleaxis() -> Polar:
c = (Polar().add_schema(angleaxis_opts=opts.AngleAxisOpts(
data=Faker.week, type_="category")).add(
"A", [1, 2, 3, 4, 3, 5, 1], type_="bar", stack="stack0").add(
"B", [2, 4, 6, 1, 2, 3, 1], type_="bar", stack="stack0").add(
"C", [1, 2, 3, 4, 1, 2, 5], type_="bar",
stack="stack0").set_global_opts(title_opts=opts.TitleOpts(
title="Polar-AngleAxis")))
return c
def fengxiang() -> Polar:
c = (
Polar()
.add_schema(angleaxis_opts=opts.AngleAxisOpts(data=['北','东','南','西'], type_="category"))
.add("A", [1, 2, 3, 4, 3, 5, 1], type_="bar")
.add("B", [2, 4, 6, 1, 2, 3, 1], type_="bar", stack="stack0")
.add("C", [1, 2, 3, 4, 1, 2, 5], type_="bar", stack="stack0")
.set_global_opts(title_opts=opts.TitleOpts(title="风向图"))
)
return c
def polar_flower() -> Polar:
data = []
for i in range(361):
t = i / 180 * math.pi
r = math.sin(2 * t) * math.cos(2 * t)
data.append([r, i])
c = (Polar().add_schema(
angleaxis_opts=opts.AngleAxisOpts(start_angle=0, min_=0)).add(
"flower", data,
label_opts=opts.LabelOpts(is_show=False)).set_global_opts(
title_opts=opts.TitleOpts(title="Polar-Flower")))
return c
def polar_love() -> Polar:
data = []
for i in range(101):
theta = i / 100 * 360
r = 5 * (1 + math.sin(theta / 180 * math.pi))
data.append([r, theta])
hour = [i for i in range(1, 25)]
c = (Polar().add_schema(angleaxis_opts=opts.AngleAxisOpts(
data=hour, type_="value", boundary_gap=False, start_angle=0)).add(
"love", data,
label_opts=opts.LabelOpts(is_show=False)).set_global_opts(
title_opts=opts.TitleOpts(title="Polar-Love")))
return c
def test_radar_options(fake_writer):
c = (Radar().add_schema(
schema=[
opts.RadarIndicatorItem(name="销售", max_=6500),
opts.RadarIndicatorItem(name="管理", max_=16000),
opts.RadarIndicatorItem(name="信息技术", max_=30000),
opts.RadarIndicatorItem(name="客服", max_=38000),
opts.RadarIndicatorItem(name="研发", max_=52000),
opts.RadarIndicatorItem(name="市场", max_=25000),
],
radiusaxis_opts=opts.RadiusAxisOpts(),
angleaxis_opts=opts.AngleAxisOpts(),
polar_opts=opts.PolarOpts(),
).add("预算分配", v1).add(
"实际开销", v2).set_series_opts(label_opts=opts.LabelOpts(is_show=False)))
c.render()
_, content = fake_writer.call_args[0]
assert_in("radiusAxis", content)
assert_in("angleAxis", content)
assert_in("polar", content)
def polar_scatter() -> Polar:
data = []
for i in range(1001):
theta = i / 100 * 360
r = random.randint(1, 100) * (1 + math.sin(theta / 180 * math.pi))
data.append([r, theta])
print(data)
c = (
Polar(init_opts=opts.InitOpts(width="1920px",
height="960px",
page_title="Graph-Global AS Core Map",
theme=ThemeType.DARK)).
add_schema(angleaxis_opts=opts.AngleAxisOpts(
type_="value", boundary_gap=False, start_angle=0, min_=0,
max_=360)).add(
"",
data,
type_="scatter",
# effect_opts=opts.EffectOpts(scale=10, period=5),
symbol="arrow",
label_opts=opts.LabelOpts(is_show=False)).set_global_opts(
title_opts=opts.TitleOpts(title="Polar Map")))
return c
import math
import pyecharts.options as opts
from pyecharts.charts import Polar
"""
Gallery 使用 pyecharts 1.1.0
参考地址: https://www.echartsjs.com/examples/editor.html?c=line-polar
目前无法实现的功能:
1、赞无
"""
data = []
for i in range(0, 101):
theta = i / 100 * 360
r = 5 * (1 + math.sin(theta / 180 * math.pi))
data.append([r, theta])
(Polar(init_opts=opts.InitOpts(width="1600px", height="800px")).add(
series_name="line", data=data, label_opts=opts.LabelOpts(
is_show=False)).add_schema(angleaxis_opts=opts.AngleAxisOpts(
start_angle=0, type_="value", is_clockwise=True)).set_global_opts(
tooltip_opts=opts.TooltipOpts(trigger="axis",
axis_pointer_type="cross"),
title_opts=opts.TitleOpts(title="极坐标双数值轴"),
).render("render/two_value_axes_in_polar.html"))
from pyecharts import options as opts
from pyecharts.charts import Polar
from pyecharts.faker import Faker
c = (
Polar()
.add_schema(
radiusaxis_opts=opts.RadiusAxisOpts(data=Faker.week, type_="category"),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True, max_=10),
)
.add("A", [1, 2, 3, 4, 3, 5, 1], type_="bar")
.set_global_opts(title_opts=opts.TitleOpts(title="Polar-RadiusAxis"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=True))
.render("Polar_radius.html")
)
def show_pyecharts():
x_data = [
'0.0', '0.1', '0.2', '0.3', '0.4', '0.5', '0.6', '0.7', '0.8', '0.9',
'1.0'
]
y_data = [
'1533', '573', '502', '491', '520', '556', '577', '788', '1252',
'20564', '6393'
]
#情感分析柱状图
bar = (Bar().add_xaxis(x_data).add_yaxis(
"情感分析",
y_data,
label_opts=opts.LabelOpts(is_show=False),
color='#3498DB').set_global_opts(title_opts={
"text": "台海舆论情感分析",
"subtext": "大于0.5为正面评价，小于0.5为负面评价"
}))
#台湾网饼图
x_data2 = [
"文化", "经贸", "媒体专栏", "网友专栏", "两岸专家", "两岸", "台商", "部委", "台海时事", "网友快言",
"海峡时评", "两岸快评"
]
y_data2 = [553, 553, 35, 39, 448, 465, 553, 321, 553, 406, 553, 556]
pie = (Pie(init_opts=opts.InitOpts(theme=ThemeType.CHALK)).add(
series_name="中国台湾网",
data_pair=[list(z) for z in zip(x_data2, y_data2)],
radius=["50%", "70%"],
label_opts=opts.LabelOpts(is_show=False, position="center"),
).set_colors([
"#E8F8F5", "#D1F2EB", "#A3E4D7", "#76D7C4", "#48C9B0", "#1ABC9C",
"#17A589", "#148F77", "#117864", "#0E6251F", "#73C6B6", "#45B39D"
]).set_global_opts(legend_opts=opts.LegendOpts(
pos_left="legft", orient="vertical")).set_series_opts(
tooltip_opts=opts.TooltipOpts(
trigger="item", formatter="{a} <br/>{b}: {c} ({d}%)"), ))
#词云图
word = (WordCloud().add(
"",
list1,
word_size_range=[20, 100],
shape=SymbolType.DIAMOND,
textstyle_opts=opts.TextStyleOpts(font_family="cursive"),
))
#折线图1
y2[0], y2[1], y2[2] = None, None, None
y4[1] = None
line = (Line().add_xaxis(xaxis_data=x1).add_yaxis(
series_name="微博",
symbol="emptyCircle",
is_symbol_show=True,
color="#F2D7D5",
y_axis=y1,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=3)).add_yaxis(
series_name="环球网",
symbol="emptyCircle",
is_symbol_show=True,
color="#C0392B",
y_axis=y2,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=3)).add_yaxis(
series_name="中国台湾网",
symbol="emptyCircle",
is_symbol_show=True,
color="#641E16",
y_axis=y3,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=3)).add_yaxis(
series_name="知乎",
symbol="emptyCircle",
is_symbol_show=True,
color="#9B59B6",
y_axis=y4,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=3)).add_yaxis(
series_name="中国日报网",
symbol="emptyCircle",
is_symbol_show=True,
color="#512E5F",
y_axis=y5,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=3)).add_yaxis(
series_name="中新网",
symbol="emptyCircle",
is_symbol_show=True,
color="#2980B9",
y_axis=y6,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=3)).
add_yaxis(
series_name="今日头条",
symbol="emptyCircle",
is_symbol_show=True,
color="#154360",
y_axis=y7,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=3)).add_yaxis(
series_name="光明网",
symbol="emptyCircle",
is_symbol_show=True,
color="#3498DB",
y_axis=y8,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=3)).add_yaxis(
series_name="凤凰网",
symbol="emptyCircle",
is_symbol_show=True,
color="#1ABC9C",
y_axis=y9,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(width=3)).add_yaxis(
series_name="新华网",
symbol="emptyCircle",
is_symbol_show=True,
color="#0E6251",
y_axis=y10,
label_opts=opts.LabelOpts(is_show=False),
linestyle_opts=opts.LineStyleOpts(
width=3)).set_global_opts(
tooltip_opts=opts.TooltipOpts(
trigger="axis"),
yaxis_opts=opts.AxisOpts(
type_="value",
axistick_opts=opts.AxisTickOpts(
is_show=True),
splitline_opts=opts.SplitLineOpts(
is_show=True),
),
xaxis_opts=opts.AxisOpts(
type_="category",
boundary_gap=False,
axisline_opts=opts.AxisLineOpts(
is_on_zero=False,
linestyle_opts=opts.LineStyleOpts(
color="#d14a61"))),
))
#平台占比饼图
x_data3 = [
"微博", "知乎", "中国台湾网", "环球网", "日报网", "中新网", "今日头条", "光明网", "凤凰网", "新华网"
]
y_data3 = [5401, 157, 5035, 3245, 4296, 5574, 1891, 3131, 1052, 1997]
data_pair = [list(z) for z in zip(x_data3, y_data3)]
data_pair.sort(key=lambda x: x[1])
pie2 = (Pie(init_opts=opts.InitOpts(theme=ThemeType.ROMA)).add(
series_name="访问来源",
data_pair=data_pair,
rosetype="radius",
radius="55%",
center=["50%", "50%"],
label_opts=opts.LabelOpts(is_show=False, position="center"),
).set_series_opts(label_opts=opts.LabelOpts(formatter="{b}:{d}%")))
#折线图2
line2 = (Line().add_xaxis(xaxis_data=x_data4).add_yaxis(
series_name="热度走势",
y_axis=y_data4,
color="#FF69B4",
markpoint_opts=opts.MarkPointOpts(
data=[opts.MarkPointItem(type_="max")]),
symbol="emptyCircle",
is_symbol_show=True,
is_smooth=True,
label_opts=opts.LabelOpts(is_show=True),
).set_global_opts(
tooltip_opts=opts.TooltipOpts(is_show=False),
yaxis_opts=opts.AxisOpts(
type_="value",
axistick_opts=opts.AxisTickOpts(is_show=True),
splitline_opts=opts.SplitLineOpts(is_show=True),
),
xaxis_opts=opts.AxisOpts(type_="category",
boundary_gap=False,
axislabel_opts=opts.LabelOpts(rotate=45)),
))
#条形图
line3 = (Bar().add_xaxis(x_data5).add_yaxis(
"平均值",
y_data5,
label_opts=opts.LabelOpts(is_show=False),
color='#6A5ACD').reversal_axis().extend_axis(yaxis=opts.AxisOpts(
type_='value',
name='转发次数',
position='left',
)).set_global_opts(
title_opts={"text": "评论与转发关系图"},
xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(
formatter='{value}(评论数量)')),
))
#圆
radius = (Polar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)).add_schema(
radiusaxis_opts=opts.RadiusAxisOpts(data=x_data6, type_="category"),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True, max_=100000),
).add("点赞数量", y_data6, type_="bar").set_global_opts(
title_opts=opts.TitleOpts(title="")).set_series_opts(
label_opts=opts.LabelOpts(is_show=True)))
return render_template("index2.html",
bar_data=bar.dump_options(),
word_data=word.dump_options(),
pie_data=pie.dump_options(),
pie2_data=pie2.dump_options(),
line_data=line.dump_options(),
line2_data=line2.dump_options(),
line3_data=line3.dump_options(),
radius_data=radius.dump_options())
import math
from pyecharts import options as opts
from pyecharts.charts import Polar
data = []
for i in range(361):
t = i / 180 * math.pi
r = math.sin(2 * t) * math.cos(2 * t)
data.append([r, i])
c = (Polar().add_schema(
angleaxis_opts=opts.AngleAxisOpts(start_angle=0, min_=0)).add(
"flower", data, label_opts=opts.LabelOpts(
is_show=False)).set_global_opts(title_opts=opts.TitleOpts(
title="Polar-Flower")).render("polar_flower.html"))
import math
from pyecharts import options as opts
from pyecharts.charts import Polar
data = []
for i in range(361):
t = i / 180 * math.pi
r = math.sin(2 * t) * math.cos(2 * t)
data.append([r, i])
c = (
Polar()
.add_schema(angleaxis_opts=opts.AngleAxisOpts(start_angle=0, min_=0))
.add("flower", data, label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(title="Polar-Flower"))
.render("Polar_flower.html")
)
"parallel",
data,
).set_global_opts(title_opts=opts.TitleOpts(
title="Parallel-Category")).render("parallel_category.html"))
# Section3 极坐标系
# 爱心图
import math
from pyecharts.charts import Polar
data = []
for i in range(101):
theta = i / 100 * 360
r = 5 * (1 + math.sin(theta / 180 * math.pi))
data.append([r, theta])
hour = [i for i in range(1, 15)]
c = (Polar().add_schema(angleaxis_opts=opts.AngleAxisOpts(start_angle=0)).add(
"love", data, label_opts=opts.LabelOpts(is_show=False)).set_global_opts(
title_opts=opts.TitleOpts(
title="Polar-Love")).render("polar_love.html"))
# 水溅的效果
import random
data = [(i, random.randint(1, 100)) for i in range(10)]
c = (Polar().add(
"",
data,
type_="effectScatter",
effect_opts=opts.EffectOpts(scale=10, period=5),
label_opts=opts.LabelOpts(is_show=False),
).set_global_opts(title_opts=opts.TitleOpts(
title="Polar-EffectScatter")).render("polar_effectscatter.html"))
)
)
}
# %% [markdown]
# ### Utils Options
AXLINE = {
"standard": opts.AxisLineOpts(
linestyle_opts=LINE["standard"]
)
}
ANGLEAX = {
"value": opts.AngleAxisOpts(
type_="value",
boundary_gap=True,
start_angle=90,
is_clockwise=True,
interval=90,
max_=360
),
"category": lambda x: opts.AngleAxisOpts(
data=x,
type_="category",
boundary_gap=True,
start_angle=0,
is_clockwise=True
)
}
RADIUSAX = {
"value": opts.RadiusAxisOpts(
type_="value",
boundary_gap=True,
boxplot.render_notebook()
# %% [markdown]
# ### Polar -- 极坐标
import math
data=[]
# 生成数据，满足格式`[r, \theta]`，即可以认为角度为自变量、径向为因变量
for i in range(0, 360):
data.append([100 * math.sin(i/180 * math.pi), i])
polar = Polar()
polar.add("", data)
# 调整角度坐标轴样式
polar.add_schema(
angleaxis_opts=opts.AngleAxisOpts(
interval=90,
max_=360
)
)
polar.render_notebook()
# %% [markdown]
# #### 极坐标柱状图
polar = Polar()
polar.add("", list(zip(Faker.choose(), Faker.values())), type_="bar")
polar.add_schema(
radiusaxis_opts=opts.RadiusAxisOpts(type_="category"),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True)
)
polar.render_notebook()
{
"name": "市场",
"max": 4,
"min": -4
},
]
c = (Radar().set_colors(["#4587E7"]).add_schema(
schema=c_schema,
shape="circle",
center=["50%", "50%"],
radius="80%",
angleaxis_opts=opts.AngleAxisOpts(
min_=0,
max_=360,
is_clockwise=False,
interval=5,
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=-4,
max_=4,
interval=2,
splitarea_opts=opts.SplitAreaOpts(
is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)),
),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=False),
splitline_opt=opts.SplitLineOpts(is_show=False),
).add(
def radar_angle_radius_axis_opts() -> Radar:
data = [
{
"value": [4, -4, 2, 3, 0, 1],
"name": "预算分配"
},
]
c_schema = [
{
"name": "销售",
"max": 4,
"min": -4
},
{
"name": "管理",
"max": 4,
"min": -4
},
{
"name": "技术",
"max": 4,
"min": -4
},
{
"name": "客服",
"max": 4,
"min": -4
},
{
"name": "研发",
"max": 4,
"min": -4
},
{
"name": "市场",
"max": 4,
"min": -4
},
]
c = (Radar().set_colors(["#4587E7"]).add_schema(
schema=c_schema,
shape="circle",
center=["50%", "50%"],
radius="80%",
angleaxis_opts=opts.AngleAxisOpts(
min_=0,
max_=360,
is_clockwise=False,
interval=5,
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=-4,
max_=4,
interval=2,
splitarea_opts=opts.SplitAreaOpts(
is_show=True,
areastyle_opts=opts.AreaStyleOpts(opacity=1),
)),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=False),
splitline_opt=opts.SplitLineOpts(is_show=False),
).add(
series_name="预算",
data=data,
areastyle_opts=opts.AreaStyleOpts(opacity=0.1),
linestyle_opts=opts.LineStyleOpts(width=1),
))
return c
) #初始化雷达图
r.add_js_funcs(
"""
var img = new Image(); img.src = 'a5.png';
"""
) #执行js代码
(
r.add_schema(
schema=myschema,
shape="circle", #图片形状
center=["50%", "50%"], #图片中心位置
radius="80%", #图片半径大小
angleaxis_opts=opts.AngleAxisOpts(
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=0,
max_=7,
interval=1,
splitarea_opts=opts.SplitAreaOpts(
is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)
),
splitline_opts=opts.series_options.SplitLineOpts(is_show=True, linestyle_opts={'color':'grey','opacity':0.8})
),
polar_opts=opts.PolarOpts(),
splitline_opt=opts.SplitLineOpts(is_show=False),
textstyle_opts=opts.TextStyleOpts(color="black"),
def Radar_pic(name, datas, ifratio) -> Radar:
color = ["#ff7f00"] if ifratio else ["#4587E7"]
data = [{"value": datas, "name": name}]
watermax = 1000 if datas[0] < 1000 else datas[0] * 1.1
mountainmax = 1000 if datas[1] < 1000 else datas[1] * 1.1
corridormax = 1000 if datas[2] < 1000 else datas[2] * 1.1
secondmax = 250 if datas[3] < 250 else datas[3] * 1.1
intermax = 500 if datas[4] < 500 else datas[4] * 1.1
landscapemax = 250 if datas[5] < 250 else datas[5] * 1.1
mainmax = 250 if datas[6] < 250 else datas[6] * 1.1
othermax = 450 if datas[7] < 450 else datas[7] * 1.1
waterratio = 0.25 if datas[0] < 0.25 else datas[0] * 1.2
mountainratio = 0.25 if datas[1] < 0.25 else datas[1] * 1.1
c_schema = [
{
"name": "主水",
"max": round(waterratio, 2) if ifratio else round(watermax)
},
{
"name": "主山",
"max": round(mountainratio, 2) if ifratio else round(mountainmax)
},
{
"name": "廊道",
"max": 0.25 if ifratio else round(corridormax)
},
{
"name": "次路",
"max": 0.20 if ifratio else round(secondmax)
},
{
"name": "夹层",
"max": 0.20 if ifratio else round(intermax)
},
{
"name": "主景观建筑",
"max": 0.20 if ifratio else round(landscapemax)
},
{
"name": "主厅",
"max": 0.20 if ifratio else round(mainmax)
},
{
"name": "其他建筑",
"max": 0.20 if ifratio else round(othermax)
},
]
c = (
Radar().set_colors(color).add_schema(
schema=c_schema,
shape="circle",
# 图片中心位置
center=["50%", "50%"],
# 雷达图半径大小
radius="80%",
angleaxis_opts=opts.AngleAxisOpts(
# 径向轴大小
# min_=0,
# max_=360,
# is_clockwise=False,
# 径向轴间隔大小
interval=4,
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
textstyle_opts=opts.TextStyleOpts(font_size=20),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=0,
max_=1000,
interval=200,
splitarea_opts=opts.SplitAreaOpts(
is_show=False,
areastyle_opts=opts.AreaStyleOpts(opacity=1)),
),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=False),
splitline_opt=opts.SplitLineOpts(is_show=False),
).add(
series_name=name,
data=data,
# 透明度
areastyle_opts=opts.AreaStyleOpts(opacity=0.2),
# 线宽
linestyle_opts=opts.LineStyleOpts(width=2),
label_opts=opts.LabelOpts(font_size=20)).set_global_opts(
title_opts=opts.TitleOpts(
title=name,
pos_left="22%",
pos_top="10",
),
legend_opts=opts.LegendOpts(pos_right=10)))
return c
def polarChart(df):
type_of_plot = st.selectbox("Select Type of Plot",["POLAR1","POLAR2","POLAR3 Angle"])
all_columns = df.columns
#st.success("Generating Customizable Plot of {} for {}".format(type_of_plot))
if type_of_plot == 'POLAR1':
columns_to_plot = st.selectbox("Select 1 column",all_columns,key='a' )
columns_to_plot1 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot]], key='b' )
# columns_to_plot2 = st.selectbox("Select 1 column",all_columns, key='c' )
n = df[[columns_to_plot, columns_to_plot1]].sort_values(by = columns_to_plot1 , ascending = True)
cje = n[columns_to_plot].tolist()
other_var = n[columns_to_plot1].tolist()
# cje = df[columns_to_plot].tolist()
# other_var = df[columns_to_plot1].sort_values(ascending = True).tolist()
# other_var1 = df[columns_to_plot2].tolist()
polar = Polar()
polar.add_schema(
radiusaxis_opts=opts.RadiusAxisOpts( data = cje ,type_="category",
splitline_opts=opts.SplitLineOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True,
splitline_opts=opts.SplitLineOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)))
polar.add(columns_to_plot1, other_var, type_="bar")
polar.set_global_opts(toolbox_opts=opts.ToolboxOpts())
polar.set_series_opts(label_opts=opts.LabelOpts(is_show=True, position='inside', font_size=8,
font_weight='bold'))
return polar
if type_of_plot == 'POLAR2':
columns_to_plot = st.selectbox("Select 1 column",all_columns,key='a' )
columns_to_plot1 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot]], key='b' )
columns_to_plot2 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot]], key='c' )
columns_to_plot3 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot2,columns_to_plot]], key='c' )
columns_to_plot4 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot2,columns_to_plot, columns_to_plot3]], key='c' )
n = df[[columns_to_plot, columns_to_plot1, columns_to_plot2, columns_to_plot3, columns_to_plot4]].sort_values(by = columns_to_plot1 , ascending = True)
cje = n[columns_to_plot].tolist()
other_var = n[columns_to_plot1].tolist()
other_var2 = n[columns_to_plot2].tolist()
other_var3 = n[columns_to_plot3].tolist()
other_var4 = n[columns_to_plot4].tolist()
polar = Polar()
polar.add_schema(
radiusaxis_opts=opts.RadiusAxisOpts( data = cje ,type_= "category",
splitline_opts=opts.SplitLineOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True,
splitline_opts=opts.SplitLineOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)))
polar.add(columns_to_plot1, other_var, type_="bar" )
polar.add(columns_to_plot2, other_var2, type_="bar")
polar.add(columns_to_plot3, other_var3, type_="bar")
polar.add(columns_to_plot4, other_var4, type_="bar")
polar.set_global_opts(toolbox_opts=opts.ToolboxOpts(),)
polar.set_series_opts(label_opts=opts.LabelOpts(is_show=True))
return polar
if type_of_plot == 'POLAR3 Angle':
columns_to_plot = st.selectbox("Select 1 column",all_columns,key='a' )
columns_to_plot1 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot]], key='b' )
columns_to_plot2 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot]], key='c' )
columns_to_plot3 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot2,columns_to_plot]], key='c' )
columns_to_plot4 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot2,columns_to_plot, columns_to_plot3]], key='c' )
n = df[[columns_to_plot, columns_to_plot1, columns_to_plot2, columns_to_plot3, columns_to_plot4]].sort_values(by = columns_to_plot1 , ascending = True)
cje = n[columns_to_plot].tolist()
other_var = n[columns_to_plot1].tolist()
other_var2 = n[columns_to_plot2].tolist()
other_var3 = n[columns_to_plot3].tolist()
other_var4 = n[columns_to_plot4].tolist()
polar = Polar()
polar.add_schema(
# radiusaxis_opts=opts.RadiusAxisOpts( data = cje ,type_= "category",
# splitline_opts=opts.SplitLineOpts(is_show=False),
# axisline_opts=opts.AxisLineOpts(is_show=False),
# axistick_opts=opts.AxisTickOpts(is_show=False)),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True,type_= "category",
splitline_opts=opts.SplitLineOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)))
polar.add(columns_to_plot1, other_var, type_="bar", stack="stack0" )
polar.add(columns_to_plot2, other_var2, type_="bar" , stack="stack0")
polar.add(columns_to_plot3, other_var3, type_="bar" , stack="stack0")
polar.add(columns_to_plot4, other_var4, type_="bar" , stack="stack0")
polar.set_global_opts(toolbox_opts=opts.ToolboxOpts())
polar.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
return polar
def pyecharts():
from pyecharts.charts import Bar
from pyecharts.faker import Faker
from pyecharts import options as opts
from pyecharts.charts import Polar
from pyecharts.charts import HeatMap
from pyecharts.charts import Tree
r1 = ['草莓', '芒果', '葡萄', '雪梨', '西瓜', '柠檬', '车厘子']
r2 = [127, 33, 110, 29, 146, 121, 36]
r3 = [25, 87, 114, 131, 130, 94, 146]
c1 = (Bar({
"width": "100%"
}).add_xaxis(r1).add_yaxis("商家A", r2).add_yaxis("商家B", r3).set_global_opts(
title_opts=opts.TitleOpts(title="Bar-基本示例", subtitle="我是副标题")))
c2 = (Polar({
"width": "100%"
}).add_schema(
radiusaxis_opts=opts.RadiusAxisOpts(data=Faker.week, type_="category"),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True, max_=10),
).add("A", [1, 2, 3, 4, 3, 5, 1], type_="bar").set_global_opts(
title_opts=opts.TitleOpts(title="Polar-RadiusAxis")).set_series_opts(
label_opts=opts.LabelOpts(is_show=True)))
data = [{
"children": [
{
"name": "B"
},
{
"children": [{
"children": [{
"name": "I"
}],
"name": "E"
}, {
"name": "F"
}],
"name":
"C",
},
{
"children": [
{
"children": [{
"name": "J"
}, {
"name": "K"
}],
"name": "G"
},
{
"name": "H"
},
],
"name":
"D",
},
],
"name":
"A",
}]
c3 = (Tree({
"width": "100%"
}).add("",
data).set_global_opts(title_opts=opts.TitleOpts(title="Tree-基本示例")))
value = [[i, j, int(i * j * 3.14 * 314 % 50)] for i in range(24)
for j in range(7)]
c4 = (HeatMap({
"width": "100%"
}).add_xaxis(Faker.clock).add_yaxis(
"series0",
Faker.week,
value,
label_opts=opts.LabelOpts(is_show=True, position="inside"),
).set_global_opts(
title_opts=opts.TitleOpts(title="HeatMap-Label 显示"),
visualmap_opts=opts.VisualMapOpts(),
))
put_grid([[put_html(c1.render_notebook()),
put_html(c2.render_notebook())],
[put_html(c3.render_notebook()),
put_html(c4.render_notebook())]],
cell_width='1fr',
cell_height='1fr')
from pyecharts import options as opts
from pyecharts.charts import Polar
from pyecharts.faker import Faker
c = (Polar().add_schema(
angleaxis_opts=opts.AngleAxisOpts(data=Faker.week, type_="category")).add(
"A", [1, 2, 3, 4, 3, 5, 1], type_="bar", stack="stack0").add(
"B", [2, 4, 6, 1, 2, 3, 1], type_="bar", stack="stack0").add(
"C", [1, 2, 3, 4, 1, 2, 5], type_="bar",
stack="stack0").set_global_opts(title_opts=opts.TitleOpts(
title="Polar-AngleAxis")).render("Polar_angleaxis.html"))
def view_radar(self, df_view):
"""
画雷达图
例子：
page_ = Page()
for v in view_lst:
view_label[1] = v
df_view = get_view_dt(df_all, 'label', view_label, call_cols, call_dct)
c = view_radar(df_view)
page_.add(c)
print(f'Finished {v}')
print('Finished all')
page_.render_notebook()
"""
c_schema = []
try:
add_name1, add_name2 = df_view.columns[1], df_view.columns[2]
add_value1, add_value2 = [
df_view.iloc[list(range(12)), 1].tolist()
], [df_view.iloc[list(range(12)), 2].tolist()]
max_v = max(max(add_value1[0]), max(add_value2[0]))
min_v = min(min(add_value1[0]), min(add_value2[0]))
max_v_set = 1 if max_v > 0.65 else max_v + min_v
for i in df_view.loc[list(range(12)), 'index']:
c_schema.append({"name": i, "max": max_v_set, "min": 0})
except:
add_name1, add_name2 = df_view.columns[1], df_view.columns[2]
add_value1, add_value2 = [df_view.iloc[:, 1].tolist()
], [df_view.iloc[:, 2].tolist()]
max_v = max(max(add_value1[0]), max(add_value2[0]))
min_v = min(min(add_value1[0]), min(add_value2[0]))
max_v_set = 1 if max_v > 0.65 else max_v + min_v
for i in df_view.loc[:, 'index']:
c_schema.append({"name": i, "max": max_v_set, "min": 0})
c = (Radar().add_schema(
c_schema,
shape="circle",
center=["50%", "50%"],
radius="80%",
angleaxis_opts=opts.AngleAxisOpts(
min_=0,
max_=360,
is_clockwise=False,
interval=5,
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
splitline_opts=opts.SplitLineOpts(is_show=False),
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=0,
max_=round(max_v_set, 3),
interval=round(max_v_set / 5, 3),
splitarea_opts=opts.SplitAreaOpts(
is_show=True,
areastyle_opts=opts.AreaStyleOpts(opacity=1)),
),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=False),
splitline_opt=opts.SplitLineOpts(is_show=False),
).add(add_name1, add_value1, color="#f9713c").add(
add_name2,
add_value2,
color="#b3e4a1",
areastyle_opts=opts.AreaStyleOpts(opacity=0.3)).set_series_opts(
label_opts=opts.LabelOpts(is_show=False)))
return c
import math
import pyecharts.options as opts
from pyecharts.charts import Polar
data = []
for i in range(0, 101):
theta = i / 100 * 360
r = 5 * (1 + math.sin(theta / 180 * math.pi))
data.append([r, theta])
(
Polar(init_opts=opts.InitOpts(width="1600px", height="800px"))
.add(series_name="line", data=data, label_opts=opts.LabelOpts(is_show=False))
.add_schema(angleaxis_opts=opts.AngleAxisOpts(
start_angle=0, type_="value", is_clockwise=True)
)
.set_global_opts(
tooltip_opts=opts.TooltipOpts(trigger="axis", axis_pointer_type="cross"),
title_opts=opts.TitleOpts(title="极坐标双数值轴")
)
.render("two_value_axes_in_polar.html")
)
def draw_radar(season_x, season_name, filechart, seasonareacolor, seasonlinecolor):
# 建立schema的json文件 season_x.columns = [season_name]
season_index = season_x.index.to_list()
# print(season_index)
# n_max, n_min = max(season_x), min(season_x)
n_max = max(enumerate(season_x[0]), key=operator.itemgetter(1))[1]
n_min = min(enumerate(season_x[0]), key=operator.itemgetter(1))[1]
# 用于获取对象的哪些维的数据
# print(n_max, n_min)
df_season = pd.DataFrame({'name': season_index})
df_season['max'], df_season['min'] = n_max, n_min
# season_js = df_season.to_json(orient='records')
# print(season_js)
# 设置16方位, 逆时针排序
season_js = [
{"name": "N", "max": n_max, "min": n_min},
{"name": "NNW", "max": n_max, "min": n_min},
{"name": "NW", "max": n_max, "min": n_min},
{"name": "WNW", "max": n_max, "min": n_min},
{"name": "W", "max": n_max, "min": n_min},
{"name": "WSW", "max": n_max, "min": n_min},
{"name": "SW", "max": n_max, "min": n_min},
{"name": "SSW", "max": n_max, "min": n_min},
{"name": "S", "max": n_max, "min": n_min},
{"name": "SSE", "max": n_max, "min": n_min},
{"name": "SE", "max": n_max, "min": n_min},
{"name": "ESE", "max": n_max, "min": n_min},
{"name": "E", "max": n_max, "min": n_min},
{"name": "ENE", "max": n_max, "min": n_min},
{"name": "NE", "max": n_max, "min": n_min},
{"name": "NNE", "max": n_max, "min": n_min},
]
# 设置数据
fengsus = season_x[0].to_list()
data_fengsu = [{'value': fengsus, 'name': '风频数'}]
# print(data_fengsu)
charts = Radar()
charts.set_colors(['#4587E7']) # 设置颜色
charts.add_schema(schema=season_js,
shape='circle',
center=['50%', '50%'],
radius='80%',
angleaxis_opts=opts.AngleAxisOpts(
min_=0, # 坐标轴刻度最小值
max_=360, # 坐标轴刻度最大值
is_clockwise=True,
interval=22.5, # 强制设置坐标轴分割间隔
axistick_opts=opts.AxisTickOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False,), # 坐标轴线标签配置项
axisline_opts=opts.AxisLineOpts(is_show=True), # 坐标轴线风格配置项
splitline_opts=opts.SplitLineOpts(is_show=True) # 分割线配置项
),
radiusaxis_opts=opts.RadiusAxisOpts(
min_=n_min, # 坐标轴刻度最小值
max_=n_max, # 坐标轴刻度最大值
interval=2, # 强制设置坐标轴分割间隔
splitarea_opts=opts.SplitAreaOpts(
is_show=True,
areastyle_opts=opts.AreaStyleOpts(opacity=0.2,
)
),
splitline_opts=opts.SplitLineOpts(is_show=True,
linestyle_opts=opts.LineStyleOpts(is_show=True,
width=0.5,
color='grey')),
axislabel_opts=opts.LabelOpts(is_show=True,
font_size=12,
color='grey'), # 坐标轴线标签配置项
),
polar_opts=opts.PolarOpts(),
splitarea_opt=opts.SplitAreaOpts(is_show=True),
splitline_opt=opts.SplitLineOpts(is_show=False), # 分割线配置项
textstyle_opts=opts.TextStyleOpts(color='black',
font_size=14)
)
charts.add(series_name='%s玫瑰图' % season_name, # 系列名称
data=data_fengsu, # 系列数据
areastyle_opts=opts.AreaStyleOpts(opacity=0.5, # 系列面样式设置
color=seasonareacolor),
linestyle_opts=opts.LineStyleOpts(width=2, # 系列线样式设置
color=seasonlinecolor),
label_opts=opts.LabelOpts(is_show=False),
) # 系列标签设置
charts.render(filechart)
import math
from pyecharts import options as opts
from pyecharts.charts import Polar
data = []
for i in range(101):
theta = i / 100 * 360
r = 5 * (1 + math.sin(theta / 180 * math.pi))
data.append([r, theta])
hour = [i for i in range(1, 25)]
c = (Polar().add_schema(angleaxis_opts=opts.AngleAxisOpts(
data=hour, type_="value", boundary_gap=False, start_angle=0)).add(
"love", data, label_opts=opts.LabelOpts(
is_show=False)).set_global_opts(title_opts=opts.TitleOpts(
title="Polar-Love")).render("polar_love.html"))
