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
Trouville01几秒前
Pycharm软件初始化设置,字体和shell路径如何设置到最舒服
ide·python·pycharm
高-老师13 分钟前
WRF模式与Python融合技术在多领域中的应用及精美绘图
人工智能·python·wrf模式
小白学大数据22 分钟前
基于Splash的搜狗图片动态页面渲染爬取实战指南
开发语言·爬虫·python
xinyu_Jina24 分钟前
ikTok Watermark Remover:客户端指纹、行为建模与自动化逆向工程
前端·人工智能·程序人生·信息可视化
零日失眠者28 分钟前
【文件管理系列】003:重复文件查找工具
后端·python
FreeCode37 分钟前
一文了解LangGraph智能体设计开发过程:Thinking in LangGraph
python·langchain·agent
西柚小萌新1 小时前
【深入浅出PyTorch】--9.使用ONNX进行部署并推理
人工智能·pytorch·python
nvd111 小时前
SSE 流式输出与 Markdown 渲染实现详解
javascript·python
LDG_AGI1 小时前
【推荐系统】深度学习训练框架(十):PyTorch Dataset—PyTorch数据基石
人工智能·pytorch·分布式·python·深度学习·机器学习
是Dream呀1 小时前
昇腾实战|算子模板库Catlass与CANN生态适配
开发语言·人工智能·python·华为