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 get_instance(request):
# bar = Bar()
# bar.add_xaxis(["A", "B", "C", "D", "E", "F"])
# bar.add_yaxis("G", [5, 20, 36, 10, 75, 90])
# bar.render()
bar = (
Polar()
.add("", [(10, random.randint(1, 100)) for i in range(300)], type_="scatter")
.add("", [(11, random.randint(1, 100)) for i in range(300)], type_="scatter")
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(title="Polar-Scatter1"))
)
return HttpResponse(bar.render_embed())
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 polar_effectscatter() -> Polar:
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"))
)
return c
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 random
from pyecharts import options as opts
from pyecharts.charts import Polar
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")
)
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")
)
# from pyecharts import Polar
import random
from pyecharts.charts import Polar
data_1 = [(10, random.randint(1, 100)) for i in range(300)]
data_2 = [(11, random.randint(1, 100)) for i in range(300)]
polar = Polar()
polar.add(
"",
data_1,
)
polar.add(
"",
data_2,
)
polar.render("pyhtml_生成的散点图.html")
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(
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"))
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"))
# Section4 雷达图
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])
c = (
Polar()
.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"),
)
)
c.width = "100%"
put_html(c.render_notebook())
import random
from pyecharts import options as opts
from pyecharts.charts import Polar
data = [(i, random.randint(1, 100)) for i in range(101)]
c = (Polar().add(
"", data, type_="scatter", label_opts=opts.LabelOpts(
is_show=False)).set_global_opts(title_opts=opts.TitleOpts(
title="Polar-Scatter0")).render("Polar_scatter_0.html"))
from pywebio.output import put_html
import random
from pyecharts import options as opts
from pyecharts.charts import Polar
c = (Polar().add(
"", [(10, random.randint(1, 100)) for i in range(300)],
type_="scatter").add(
"", [(11, random.randint(1, 100)) for i in range(300)],
type_="scatter").set_series_opts(label_opts=opts.LabelOpts(
is_show=False)).set_global_opts(title_opts=opts.TitleOpts(
title="Polar-Scatter1")))
c.width = "100%"
put_html(c.render_notebook())
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')
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")
)
1、赞无
"""
data = []
for i in range(0, 360 + 1):
t = i / 180 * math.pi
r = math.sin(2 * t) * math.cos(2 * t)
data.append([r, i])
(
Polar()
.add(
series_name="line",
data=data,
label_opts=opts.LabelOpts(is_show=False),
symbol_size=0,
)
.add_schema(
angleaxis_opts=opts.AngleAxisOpts(
start_angle=0, type_="value", is_clockwise=True
),
radiusaxis_opts=opts.RadiusAxisOpts(min_=0),
)
.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_2.html")
)
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"))
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
polar = (Polar().add_schema(radiusaxis_opts=opts.RadiusAxisOpts(
data=[2019, 2018, 2017], type_="category")).add(
"清华大学", ranking[0], type_="bar", stack="stack0").add(
"浙江大学", ranking[1], type_="bar",
stack="stack0").add("北京大学",
ranking[2],
type_="bar",
stack="stack0").add(
"华中科技大学",
ranking[3],
type_="bar",
stack="stack0").add(
"国防科技大学",
ranking[4],
type_="bar",
stack="stack0").add(
"上海交通大学",
ranking[5],
type_="bar",
stack="stack0").add(
"哈尔滨工业大学",
ranking[6],
type_="bar",
stack="stack0").add(
"北京航空航天大学",
ranking[7],
type_="bar",
stack="stack0").add(
"西安电子科技大学",
ranking[8],
type_="bar",
stack="stack0").
add("电子科技大学", ranking[9], type_="bar",
stack="stack0").set_global_opts(
title_opts=opts.TitleOpts(title="最近三年计算机科学与技术高校排名变化情况",
subtitle="从外圈到内圈依次为2017，2018，2019"),
legend_opts=opts.LegendOpts(pos_left="80%",
orient="vertical")))
# 计算数据的最大、最小、中位、四分位数
dt1 = boxplot.prepare_data(list(zip(*[Faker.values() for i in range(20)])))
dt2 = boxplot.prepare_data(list(zip(*[Faker.values() for i in range(20)])))
boxplot.add_yaxis("cat1", dt1)
boxplot.add_yaxis("cat2", dt2)
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")
