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
武天旭3 小时前
AI安全--AI大模型的毒性偏见与安全对齐实践
人工智能·python·深度学习
视觉小萌新4 小时前
AI Class 3 · Chapter 2-3:函数、异常、文件读写+JSON / JSONL 读写(小白版)
人工智能·python·json
小小张说故事5 小时前
Python 的 obj.x 到底按什么顺序找?拆开数据描述符、实例字典和 __getattr__ 那条优先级链
python
用户11481867894846 小时前
水印的实现方式逻辑
前端·python
贾公子6 小时前
从单条内容到账号维度——AIGC 风险评分的工程实现
后端·python
木头左8 小时前
【Python】不点浏览器发博客:逆向 CSDN 创作中心接口做 md-publish 技能
python·自动化·api
Tt有了t8 小时前
设计模式速查
java·python·设计模式
deepseek239 小时前
Python日志拖慢请求?QueueHandler排队、丢失与退出实测
python·性能优化·logging·后端开发·queuehandler
用户91294046848429 小时前
Codex 从零到能交付(05):第一次改代码:生成一个文件清单脚本
python
Dmz丶9 小时前
前端转 AI 100 天 Day 38:Token 管理与成本优化——别让 API 账单爆炸
python