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
布吉岛的石头27 分钟前
Java 程序员第 22 阶段:Function Call 工具调用实战,Java 封装大模型外部能力
java·人工智能·python
l1t32 分钟前
DeepSeek总结的使用实体-组件-系统和基于存在性处理进行Python编程简介
开发语言·python
曲幽38 分钟前
FastApiAdmin 后端接口开发好了,前端管理界面怎么调用与显示?
python·vue3·api·fastapi·web·ant design·view·menu·frontend
rayyy91 小时前
神经网络模型的外推性验证
pytorch·python·深度学习
长乐呀1 小时前
数据集获取与整理
python
清水白石0081 小时前
从脚本到系统:设计一个支持插件、限流、重试与监控的 Python 异步爬虫框架
网络·爬虫·python
deepin_sir1 小时前
02 - 第一个 Python 程序
开发语言·python
徐先生 @_@|||1 小时前
pycharm/IDEA + markdown + 图床(PicList)
ide·python·pycharm·intellij-idea
ZHW_AI课题组1 小时前
基于PCA与HOG特征融合的热轧钢带缺陷检测
人工智能·python·机器学习
MediaTea1 小时前
DL:扩散模型的基本原理与 PyTorch 实现
人工智能·pytorch·python·深度学习·机器学习