pycharm——树状图

复制代码
from pyecharts import options as opts
from pyecharts.charts import Tree


data = [
    {
        "children": [
            {"name": "计算机"},
            {
                "children": [{"children": [{"name": "主机"}], "name": "硬盘"}, {"name": "鼠标和键盘"}],
                "name": "硬件",
            },
            {
                "children": [
                    {"children": [{"name": "操作系统"}, {"name": "数据结构"}], "name": "组成原理"},
                    {"name": "基础"},
                ],
                "name": "软件",
            },
        ],
        "name": "数学",
    }
]
c = (
    Tree()
    .add("", data)
    .set_global_opts(title_opts=opts.TitleOpts(title="Tree-基本示例"))
    .render("tree_base.html")
)
复制代码
import json

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

with open("flare.json", "r", encoding="utf-8") as f:
    j = json.load(f)
c = (
    Tree()
    .add("", [j], collapse_interval=2, layout="radial")
    .set_global_opts(title_opts=opts.TitleOpts(title="Tree-Layout"))
    .render("tree_layout.html")
)

flare.json文件

复制代码
 {
    "name": "My Library",
    "children": [
        {
            "name": "Book",
            "children": [
                {"name": "Title", "value": "The Great Gatsby"},
                {"name": "Author", "value": "F. Scott Fitzgerald"},
                {"name": "Publication Date", "value": "1925-04-10"}
            ]
        },
        {
            "name": "Library",
            "children": [
                {"name": "Name", "value": "Central Library"},
                {"name": "Location", "value": "New York"}
            ]
        },
        {
            "name": "Characters",
            "children": [
                {"name": "Jay Gatsby", "value": "Wealthy Gambler"},
                {"name": "Nick Carraway", "value": "Narrator"},
                {"name": "Daisy Buchanan", "value": "Socialite"}
            ]
        },
        {
          "name": "competer",
          "children": [
            {"name": "数据结构","value": "50"},
            {"name": "数据库原理","value": "60"},
            {"name": "计算机组成网络","value": "40"}
          ]
         }
    ]
}
相关推荐
_Jimmy_7 小时前
Agent 溯源精度提升方案
人工智能·python·langchain
SamChan908 小时前
在Web应用中集成PDF多语言翻译功能:PDFTranslator API实战指南
前端·python·ai·pdf·yapi·机器翻译
天天进步20159 小时前
Python全栈项目--智能办公自动化系统
开发语言·python
颜酱9 小时前
09 | 重构项目结构
人工智能·python·langchain
Highcharts.js10 小时前
基于Highcharts开发的OHLC 股票K线图完全指南
javascript·信息可视化·echarts·数据可视化·highcharts·ohlc
kisloy10 小时前
【爬虫入门第8讲】Python爬虫反爬入门
开发语言·爬虫·python
游戏新手村10 小时前
蝴蝶图在餐饮门店数据可视化中的应用
大数据·信息可视化·产品经理·数据可视化
Sisphusssss11 小时前
香橙派5plus GPIO
linux·python·ubuntu
颜酱11 小时前
08 | 把维度值同步到 Elasticsearch(生成阶段)
人工智能·python·langchain
脾气有点小暴11 小时前
ECharts 伪 3D 柱状图完整注释 + 实现原理说明
前端·3d·信息可视化·vue·echarts