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
计算机编程-吉哥18 分钟前
YOLO26 vs YOLO11 vs YOLOv8:深度学习咖啡果实成熟度分割系统【计算机毕业设计选题推荐】
人工智能·python·深度学习·yolo·django·毕业设计
大衛說43 分钟前
11 · 异常处理与日志
python
auto_go1 小时前
Python 实战指南(7)——账本动不动就崩?先把“魔法字符串”和“裸报错”干掉
python
Beyond_System|系统之外1 小时前
【学编程】Python基础编程题100道(21-60)
开发语言·python·算法
根目录下的猫2 小时前
RK3588适配的轻量级AI模型推荐
人工智能·后端·python·目标检测
wno7042 小时前
Spring Security权限控制
java·python·spring
ShineWinsu3 小时前
对于Coze—AI:SDK的解析
人工智能·python·ai·sdk·项目·coze·字节跳动
右耳朵猫AI3 小时前
Python周刊2026W38 | 标准流编码修复、PEP 845/846 草案、解析器提速 10%、集合字典二次复杂度
python·ai·数据科学
微软技术分享3 小时前
大模型网络结构:模型接口测试用例参考
python
Bruce_Liuxiaowei4 小时前
Python 实例赋值遮蔽类属性:一个从不报错的静默陷阱
开发语言·python·语法糖