Pyecharts之平行坐标系(Parallel)

Pyecharts之平行坐标系(Parallel)

from snapshot_selenium import snapshot as driver

from pyecharts import options as opts
from pyecharts.charts import Parallel
from pyecharts.render import make_snapshot

from pyecharts.globals import CurrentConfig,NotebookType

CurrentConfig.NOTEBOOK_TYPE=NotebookType.JUPYTER_LAB

一.基本概念

class pyecharts.charts.Parallel

class Parallel(
    # 初始化配置项，参考 `global_options.InitOpts`
    init_opts: opts.InitOpts = opts.InitOpts()
)

func pyecharts.charts.Parallel.add_schema

def add_schema(
    schema: Sequence[Union[opts.ParallelAxisOpts, dict]],
    parallel_opts: Union[opts.ParallelOpts, dict, None] = None,
)

func pyecharts.charts.Parallel.add

def add(
    # 系列名称，用于 tooltip 的显示，legend 的图例筛选。
    series_name: str,

    # 系列数据
    data: Sequence,

    # 是否选中图例。
    is_selected: bool = True,

    # 是否平滑曲线
    is_smooth: bool = False,

    # 线条样式，参考 `series_options.LineStyleOpts`
    linestyle_opts: Union[opts.LineStyleOpts, dict] = opts.LineStyleOpts(),

    # 提示框组件配置项，参考 `series_options.TooltipOpts`
    tooltip_opts: Union[opts.TooltipOpts, dict, None] = None,

    # 图元样式配置项，参考 `series_options.ItemStyleOpts`
    itemstyle_opts: Union[opts.ItemStyleOpts, dict, None] = None,
)

二.代码示例

from pyecharts import options as opts
from pyecharts.charts import Parallel

parallel_axis=[
    {"dim":0,"name":"Price"},
    {"dim":1,"name":"Net Weight"},
    {"dim":2,"name":"Amount"},
    {
        "dim":3,
        "name":"Score",
        "type":"category",
        "data":["Excellent","Good","OK","Bad"]
    }
]

data=[[12.99, 100, 82, "Good"], [9.99, 80, 77, "OK"], [20, 120, 60, "Excellent"]]

p=(
    Parallel(init_opts=opts.InitOpts(width="1000px",height="600px"))
    .add_schema(schema=parallel_axis)
    .add(
        series_name="数据",
        data=data,
        linestyle_opts=opts.LineStyleOpts(width=4,opacity=0.5)
    )
    #.render("basic_parallel.html")
)

#make_snapshot(driver,g.render("gauge.html"),"gauge.png")

p.load_javascript()
p.render_notebook()

from pyecharts import options as opts
from pyecharts.charts import Parallel

data = [
    [1, 91, 45, 125, 0.82, 34, 23, "良"],
    [2, 65, 27, 78, 0.86, 45, 29, "良"],
    [3, 83, 60, 84, 1.09, 73, 27, "良"],
    [4, 109, 81, 121, 1.28, 68, 51, "轻度污染"],
    [5, 106, 77, 114, 1.07, 55, 51, "轻度污染"],
    [6, 109, 81, 121, 1.28, 68, 51, "轻度污染"],
    [7, 106, 77, 114, 1.07, 55, 51, "轻度污染"],
    [8, 89, 65, 78, 0.86, 51, 26, "良"],
    [9, 53, 33, 47, 0.64, 50, 17, "良"],
    [10, 80, 55, 80, 1.01, 75, 24, "良"],
    [11, 117, 81, 124, 1.03, 45, 24, "轻度污染"],
    [12, 99, 71, 142, 1.1, 62, 42, "良"],
    [13, 95, 69, 130, 1.28, 74, 50, "良"],
    [14, 116, 87, 131, 1.47, 84, 40, "轻度污染"],
]
p = (
    Parallel()
    .add_schema(
        [
            opts.ParallelAxisOpts(dim=0, name="data"),
            opts.ParallelAxisOpts(dim=1, name="AQI"),
            opts.ParallelAxisOpts(dim=2, name="PM2.5"),
            opts.ParallelAxisOpts(dim=3, name="PM10"),
            opts.ParallelAxisOpts(dim=4, name="CO"),
            opts.ParallelAxisOpts(dim=5, name="NO2"),
            opts.ParallelAxisOpts(dim=6, name="CO2"),
            opts.ParallelAxisOpts(
                dim=7,
                name="等级",
                type_="category",
                data=["优", "良", "轻度污染", "中度污染", "重度污染", "严重污染"],
            ),
        ]
    )
    .add("介质", data)
    .set_global_opts(title_opts=opts.TitleOpts(title="Parallel-Category"))
    #.render("parallel_category.html")
)

#make_snapshot(driver,g.render("gauge.html"),"gauge.png")

p.load_javascript()
p.render_notebook()