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
杰瑞哥哥4 分钟前
快速搭建Web前端(streamlit使用指南)
python·信息可视化·web·模型部署
小途软件5 分钟前
基于计算机视觉的课堂行为编码研究
人工智能·python·深度学习·计算机视觉·语言模型·自然语言处理·django
智航GIS6 分钟前
9.2 多进程入门
数据库·python
小途软件6 分钟前
基于计算机视觉的桥梁索力测试方法
人工智能·python·语言模型·自然语言处理·django
yousuotu14 分钟前
基于Python实现水果新鲜度分类
开发语言·python·分类
Data_agent15 分钟前
微店商品列表API接口指南
大数据·数据库·python
吴老弟i17 分钟前
基于 VSCode 实现 Python 开发与调试 | 环境配置搭建 | PIP Anaconda
vscode·python·pip
七夜zippoe19 分钟前
异步编程实战:构建高性能Python网络应用
开发语言·python·websocket·asyncio·aiohttp
tianyuanwo20 分钟前
Python虚拟环境深度解析:从virtualenv到virtualenvwrapper
开发语言·python·virtualenv
越甲八千20 分钟前
ORM 的优势
数据库·python