pyecharts/example/scatter_example.py
陈键冬 717ab9b96b
PR: Scatter supports mutil dimension series data (#1125)
* Add: Scatter supports mutil dimension series data

* Format: import

* Fix: test
2019-05-17 13:46:49 +08:00

94 lines
2.5 KiB
Python

from example.commons import Collector, Faker
from pyecharts import options as opts
from pyecharts.charts import Page, Scatter
from pyecharts.commons.utils import JsCode
C = Collector()
@C.funcs
def scatter_base() -> Scatter:
c = (
Scatter()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.set_global_opts(title_opts=opts.TitleOpts(title="Scatter-基本示例"))
)
return c
@C.funcs
def scatter_spliteline() -> Scatter:
c = (
Scatter()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.set_global_opts(
title_opts=opts.TitleOpts(title="Scatter-显示分割线"),
xaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
yaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
)
)
return c
@C.funcs
def scatter_visualmap_color() -> Scatter:
c = (
Scatter()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.set_global_opts(
title_opts=opts.TitleOpts(title="Scatter-VisualMap(Color)"),
visualmap_opts=opts.VisualMapOpts(max_=150),
)
)
return c
@C.funcs
def scatter_visualmap_size() -> Scatter:
c = (
Scatter()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.add_yaxis("商家B", Faker.values())
.set_global_opts(
title_opts=opts.TitleOpts(title="Scatter-VisualMap(Size)"),
visualmap_opts=opts.VisualMapOpts(type_="size", max_=150, min_=20),
)
)
return c
@C.funcs
def scatter_muti_dimension_data() -> Scatter:
c = (
Scatter()
.add_xaxis(Faker.choose())
.add_yaxis(
"商家A",
[list(z) for z in zip(Faker.values(), Faker.choose())],
label_opts=opts.LabelOpts(
formatter=JsCode(
"function(params){return params.value[1] +' : '+ params.value[2];}"
)
),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="Scatter-多维度数据"),
tooltip_opts=opts.TooltipOpts(
formatter=JsCode(
"function (params) {return params.name + ' : ' + params.value[2];}"
)
),
visualmap_opts=opts.VisualMapOpts(
type_="color", max_=150, min_=20, dimension=1
),
)
)
return c
Page().add(*[fn() for fn, _ in C.charts]).render()