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v6.0

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JohnYan 2022-12-31 09:05:06 +08:00
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23
README.md
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@ -16,7 +16,7 @@
</p>
<p align="center">
<img src="https://img.shields.io/badge/Release-V5.7-green.svg" alt="Downloads">
<img src="https://img.shields.io/badge/Release-V6.0-green.svg" alt="Downloads">
<a target="_blank" href="https://www.python.org/downloads/release/python-390/">
<img src="https://img.shields.io/badge/Python-3.6+-green.svg" />
</a>
@ -55,6 +55,8 @@
- 支持仪表盘备份恢复快照等, 满足企业级的版本控制开发上线流程要求
- 没有重复学习成本, 高度可定制化, 注意是高度可定制化!!
具体功能预览可观看视屏了解, [6.0介绍视屏](https://www.bilibili.com/video/BV1Md4y1h7iq)
![大数据](https://www.smartchart.cn/media/editor/微信截图_20211202163316_20211202163647765791.png)
![smartchart](http://smartchart.cn/media/editor/smartvoice_20201224085323156045.png)
@ -267,6 +269,25 @@ v5.7
- 登录界面动画柔和化
- 仪表盘备份增加interval
- 修复_id问题
v6.0
- 新增复杂报表开发
- 新增3D场景开发
- 新增上线数据集零代码使用
- 新增界面化高级设定
- 新增背景切换
- 新增移动端适配支持
- 开发界面新增了隐藏容器
- 通用数据集/懒加载数据集使用更顺畅
- 新增apiconfig配制界面化
- 开发工具栏更清晰顺畅
- 数据集开发新增表及字段联想
- 新增Prometheus/influxdb连接
- 数据集序号自动化
- 全面优化了数据集数据预览
- 全面优化了拖拽体验
- 全面优化了开发界面
- 移除了body设定
```

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@ -27,7 +27,7 @@ let dataset = __dataset__; let tableData = ds_createMap_all(dataset); vapp.d0={
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@ -23,7 +23,7 @@ vapp.d0 = { &#39;index1&#39;: 100, &#39;index2&#39;: 300} 注意,我们修改了
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激活方式 # 您在初次安装Smartchart后会自动免费激活10天的专业版本, 之后专业版本功能会限制使用 请务必仔细阅读免费版本与专业版本的区别, 避免带来的不便 后续如果您还需要继续体验专业版本， 点击查看激活试用方式， 如果您是企业用途，建意使用专业版，获取更快的开发效率，可视化效果, 可靠性的保障及极速的查询体验
针对个人独立开发者,你可以采用廉价的专业版仪表盘激活方案, 可满足小项目的可视化要求 如果需要永久激活专业版，可关注公众号与客服联系,或扫码联系微信客服了解, 非诚勿扰
微信客服不提供技术咨询, 如有使用方法的疑惑,建意加QQ群:476715246 进行沟通
免费版本与专业版本对比: # 功能 免费版 专业版 中台版 栅格布局 V V V DATAV V V V 拖拽布局 V V 自由开发 V V 切换图表主题 V V 主题自由设计 V V 引入JS V V 引入CSS V V 上传静态资源 V V 使用VUE V V V 数据集开发 V V V 所有数据源 V V V 图形开发 V V V 图形商店 V V V 普通模板应用 V V V 专业模板应用 V V 复制仪表盘 V V V 钻取 V V V 联动 V V V 筛选 V V V 单点登录 V V V 嵌入认证 V V LDAP认证 V V Juypter V V V 快捷存档 V V 数据加速 V V 数据API服务 V V 后台API刷新 V V 仪表盘同步 V V 仪表盘版本管理 V V 数据填报 V V 报表Portal V V 多级项目菜单 V 商业授权 V V 优先咨询 V V 专业边框背景 V V 3D场景 V V 中国式报表 V V 生产部署文档 V V 个性化修改 V V 授权书 V V 低代码ETL V 调度平台 V 智慧BI V 数据资产 V 数据血缘 V 租户管理 V </description>
免费版本与专业版本对比: # 功能 免费版 专业版 中台版 栅格布局 V V V DATAV V V V 拖拽布局 V V 自由开发 V V 切换图表主题 V V 主题自由设计 V V 引入JS V V 引入CSS V V 上传静态资源 V V 使用VUE V V V 数据集开发 V V V 所有数据源 V V V 图形开发 V V V 图形商店 V V V 普通模板应用 V V V 专业模板应用 V V 复制仪表盘 V V V 钻取 V V V 联动 V V V 筛选 V V V 单点登录 V V V 嵌入认证 V V LDAP认证 V V Juypter V V V 快捷存档 V V 数据加速 V V 数据API服务 V V 后台API刷新 V V 仪表盘同步 V V 仪表盘版本管理 V V 数据填报 V V 报表Portal V V 多级项目菜单 V 商业授权 V V 优先咨询 V V 专业边框背景 V V 3D场景 V V 中国式报表 V V 零代码数据集 V V 生产部署文档 V V 个性化修改 V V 授权书 V V 低代码ETL V 调度平台 V 智慧BI V 数据资产 V 数据质量 V 数据血缘 V 租户管理 V </description>
</item>
<item>
@ -25,7 +25,7 @@
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://help.smartchart.cn/docs/1.%E5%9F%BA%E7%A1%80%E6%93%8D%E4%BD%9C/%E5%BF%AB%E9%80%9F%E5%BC%80%E5%A7%8B/</guid>
<description>开发前你可以先观看操作方面的 操作视屏教程 5.0变更操作视屏教程 开发系列合集,关注作者持续更新 由于版本的变更, 一些图标可能会有一些变化, 但位置无太大的变化
<description>开发前视屏 # 6.0介绍视屏 4.0操作视屏教程 5.0变更操作视屏教程 开发系列合集,关注作者持续更新 由于版本的变更, 一些图标可能会有一些变化, 但位置无太大的变化
安装Python环境 # 环境准备: 官方 最新Python下载链接,可以到 淘宝镜象下载,也可以下载 WINDOWS64位安装版, MAC电脑安装版 Window平台安装视屏介绍,注意: Windows安装Python时需选中&amp;quot;Add to Path&amp;quot; Linux安装可参考文档下方的部署说明, Linux安装说明 安装SmartChart # 在Shell或CMD命令行执行
pip3 install smartchart 如果安装过程慢,建意使用 pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple smartchart -U 升级方法: pip3 install smartchart -U 启动smartchart # 本地命令行启动: smartchart 如果你是服务器部署,远程访问,服务端启动方式: smartchart runserver 0.0.0.0:8000 --insecure --noreload 如果出现套接字，端口被占用， 可修改端口号启动， 如 smartchart runserver 0.0.0.0:8001 --insecure --noreload 一般本地启动后访问： http://127.0.0.1:8000 管理员帐号密码: admin/admin, 请及时更改密码
如果忘记密码, 可以使用此命令重置 smartchart changepassword 用户名 查看demo # 尝试熟悉编辑菜单 尝试点开数据集查看SQL写法， 图形编辑器， 容器等 仪表盘菜单 # 功能项 子项 使用说明 菜单栏 - 点击可展开隐藏, 可移动位置 设定 常规设定 权限管理,水印,模板应用,版本控制.</description>

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激活方式 # 您在初次安装Smartchart后会自动免费激活10天的专业版本, 之后专业版本功能会限制使用 请务必仔细阅读免费版本与专业版本的区别, 避免带来的不便 后续如果您还需要继续体验专业版本， 点击查看激活试用方式， 如果您是企业用途，建意使用专业版，获取更快的开发效率，可视化效果, 可靠性的保障及极速的查询体验
针对个人独立开发者,你可以采用廉价的专业版仪表盘激活方案, 可满足小项目的可视化要求 如果需要永久激活专业版，可关注公众号与客服联系,或扫码联系微信客服了解, 非诚勿扰
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免费版本与专业版本对比: # 功能 免费版 专业版 中台版 栅格布局 V V V DATAV V V V 拖拽布局 V V 自由开发 V V 切换图表主题 V V 主题自由设计 V V 引入JS V V 引入CSS V V 上传静态资源 V V 使用VUE V V V 数据集开发 V V V 所有数据源 V V V 图形开发 V V V 图形商店 V V V 普通模板应用 V V V 专业模板应用 V V 复制仪表盘 V V V 钻取 V V V 联动 V V V 筛选 V V V 单点登录 V V V 嵌入认证 V V LDAP认证 V V Juypter V V V 快捷存档 V V 数据加速 V V 数据API服务 V V 后台API刷新 V V 仪表盘同步 V V 仪表盘版本管理 V V 数据填报 V V 报表Portal V V 多级项目菜单 V 商业授权 V V 优先咨询 V V 专业边框背景 V V 3D场景 V V 中国式报表 V V 零代码数据集 V V 生产部署文档 V V 个性化修改 V V 授权书 V V 低代码ETL V 调度平台 V 智慧BI V 数据资产 V 数据质量 V 数据血缘 V 租户管理 V ">
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@ -16,7 +16,7 @@
激活方式 # 您在初次安装Smartchart后会自动免费激活10天的专业版本, 之后专业版本功能会限制使用 请务必仔细阅读免费版本与专业版本的区别, 避免带来的不便 后续如果您还需要继续体验专业版本， 点击查看激活试用方式， 如果您是企业用途，建意使用专业版，获取更快的开发效率，可视化效果, 可靠性的保障及极速的查询体验
针对个人独立开发者,你可以采用廉价的专业版仪表盘激活方案, 可满足小项目的可视化要求 如果需要永久激活专业版，可关注公众号与客服联系,或扫码联系微信客服了解, 非诚勿扰
微信客服不提供技术咨询, 如有使用方法的疑惑,建意加QQ群:476715246 进行沟通
免费版本与专业版本对比: # 功能 免费版 专业版 中台版 栅格布局 V V V DATAV V V V 拖拽布局 V V 自由开发 V V 切换图表主题 V V 主题自由设计 V V 引入JS V V 引入CSS V V 上传静态资源 V V 使用VUE V V V 数据集开发 V V V 所有数据源 V V V 图形开发 V V V 图形商店 V V V 普通模板应用 V V V 专业模板应用 V V 复制仪表盘 V V V 钻取 V V V 联动 V V V 筛选 V V V 单点登录 V V V 嵌入认证 V V LDAP认证 V V Juypter V V V 快捷存档 V V 数据加速 V V 数据API服务 V V 后台API刷新 V V 仪表盘同步 V V 仪表盘版本管理 V V 数据填报 V V 报表Portal V V 多级项目菜单 V 商业授权 V V 优先咨询 V V 专业边框背景 V V 3D场景 V V 中国式报表 V V 生产部署文档 V V 个性化修改 V V 授权书 V V 低代码ETL V 调度平台 V 智慧BI V 数据资产 V 数据血缘 V 租户管理 V " />
免费版本与专业版本对比: # 功能 免费版 专业版 中台版 栅格布局 V V V DATAV V V V 拖拽布局 V V 自由开发 V V 切换图表主题 V V 主题自由设计 V V 引入JS V V 引入CSS V V 上传静态资源 V V 使用VUE V V V 数据集开发 V V V 所有数据源 V V V 图形开发 V V V 图形商店 V V V 普通模板应用 V V V 专业模板应用 V V 复制仪表盘 V V V 钻取 V V V 联动 V V V 筛选 V V V 单点登录 V V V 嵌入认证 V V LDAP认证 V V Juypter V V V 快捷存档 V V 数据加速 V V 数据API服务 V V 后台API刷新 V V 仪表盘同步 V V 仪表盘版本管理 V V 数据填报 V V 报表Portal V V 多级项目菜单 V 商业授权 V V 优先咨询 V V 专业边框背景 V V 3D场景 V V 中国式报表 V V 零代码数据集 V V 生产部署文档 V V 个性化修改 V V 授权书 V V 低代码ETL V 调度平台 V 智慧BI V 数据资产 V 数据质量 V 数据血缘 V 租户管理 V " />
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@ -27,7 +27,7 @@
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<!--
@ -1892,6 +1892,12 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">V</td>
</tr>
<tr>
<td style="text-align:left">零代码数据集</td>
<td style="text-align:center"></td>
<td style="text-align:center">V</td>
<td style="text-align:center">V</td>
</tr>
<tr>
<td style="text-align:left">生产部署文档</td>
<td style="text-align:center"></td>
<td style="text-align:center">V</td>
@ -1934,6 +1940,12 @@ https://github.com/alex-shpak/hugo-book
<td style="text-align:center">V</td>
</tr>
<tr>
<td style="text-align:left">数据质量</td>
<td style="text-align:center"></td>
<td style="text-align:center"></td>
<td style="text-align:center">V</td>
</tr>
<tr>
<td style="text-align:left">数据血缘</td>
<td style="text-align:center"></td>
<td style="text-align:center"></td>

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@ -21,7 +21,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
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<!--
@ -1813,6 +1813,12 @@ mode: 控制用户查询行为，默认为模式1</p>
<td style="text-align:center">参考数据集-&gt;特殊数据源</td>
</tr>
<tr>
<td style="text-align:left">influxdb</td>
<td style="text-align:center">influxdb</td>
<td style="text-align:center">pip install influxdb</td>
<td style="text-align:center"></td>
</tr>
<tr>
<td style="text-align:left">Sqlalchemy</td>
<td style="text-align:center">sqlalchemy</td>
<td style="text-align:center">pip install sqlalchemy</td>

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@ -29,7 +29,7 @@
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@ -3,13 +3,13 @@
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="开发前你可以先观看操作方面的 操作视屏教程 5.0变更操作视屏教程 开发系列合集,关注作者持续更新 由于版本的变更, 一些图标可能会有一些变化, 但位置无太大的变化
<meta name="description" content="开发前视屏 # 6.0介绍视屏 4.0操作视屏教程 5.0变更操作视屏教程 开发系列合集,关注作者持续更新 由于版本的变更, 一些图标可能会有一些变化, 但位置无太大的变化
安装Python环境 # 环境准备: 官方 最新Python下载链接,可以到 淘宝镜象下载,也可以下载 WINDOWS64位安装版, MAC电脑安装版 Window平台安装视屏介绍,注意: Windows安装Python时需选中&quot;Add to Path&quot; Linux安装可参考文档下方的部署说明, Linux安装说明 安装SmartChart # 在Shell或CMD命令行执行
pip3 install smartchart 如果安装过程慢,建意使用 pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple smartchart -U 升级方法: pip3 install smartchart -U 启动smartchart # 本地命令行启动: smartchart 如果你是服务器部署,远程访问,服务端启动方式: smartchart runserver 0.0.0.0:8000 --insecure --noreload 如果出现套接字，端口被占用， 可修改端口号启动， 如 smartchart runserver 0.0.0.0:8001 --insecure --noreload 一般本地启动后访问： http://127.0.0.1:8000 管理员帐号密码: admin/admin, 请及时更改密码
如果忘记密码, 可以使用此命令重置 smartchart changepassword 用户名 查看demo # 尝试熟悉编辑菜单 尝试点开数据集查看SQL写法， 图形编辑器， 容器等 仪表盘菜单 # 功能项 子项 使用说明 菜单栏 - 点击可展开隐藏, 可移动位置 设定 常规设定 权限管理,水印,模板应用,版本控制.">
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<meta property="og:description" content="开发前你可以先观看操作方面的 操作视屏教程 5.0变更操作视屏教程 开发系列合集,关注作者持续更新 由于版本的变更, 一些图标可能会有一些变化, 但位置无太大的变化
<meta property="og:description" content="开发前视屏 # 6.0介绍视屏 4.0操作视屏教程 5.0变更操作视屏教程 开发系列合集,关注作者持续更新 由于版本的变更, 一些图标可能会有一些变化, 但位置无太大的变化
安装Python环境 # 环境准备: 官方 最新Python下载链接,可以到 淘宝镜象下载,也可以下载 WINDOWS64位安装版, MAC电脑安装版 Window平台安装视屏介绍,注意: Windows安装Python时需选中&quot;Add to Path&quot; Linux安装可参考文档下方的部署说明, Linux安装说明 安装SmartChart # 在Shell或CMD命令行执行
pip3 install smartchart 如果安装过程慢,建意使用 pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple smartchart -U 升级方法: pip3 install smartchart -U 启动smartchart # 本地命令行启动: smartchart 如果你是服务器部署,远程访问,服务端启动方式: smartchart runserver 0.0.0.0:8000 --insecure --noreload 如果出现套接字，端口被占用， 可修改端口号启动， 如 smartchart runserver 0.0.0.0:8001 --insecure --noreload 一般本地启动后访问： http://127.0.0.1:8000 管理员帐号密码: admin/admin, 请及时更改密码
如果忘记密码, 可以使用此命令重置 smartchart changepassword 用户名 查看demo # 尝试熟悉编辑菜单 尝试点开数据集查看SQL写法， 图形编辑器， 容器等 仪表盘菜单 # 功能项 子项 使用说明 菜单栏 - 点击可展开隐藏, 可移动位置 设定 常规设定 权限管理,水印,模板应用,版本控制." />
@ -23,7 +23,7 @@ pip3 install smartchart 如果安装过程慢,建意使用 pip3 install -i https
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@ -1599,6 +1599,7 @@ https://github.com/alex-shpak/hugo-book
<ul>
<li>
<ul>
<li><a href="#开发前视屏">开发前视屏</a></li>
<li><a href="#安装python环境">安装Python环境</a></li>
<li><a href="#安装smartchart">安装SmartChart</a></li>
<li><a href="#启动smartchart">启动smartchart</a></li>
@ -1625,14 +1626,21 @@ https://github.com/alex-shpak/hugo-book
<article class="markdown"><p><strong>开发前你可以先观看操作方面的</strong>
<a href="https://www.bilibili.com/video/BV14u411S7L8/">操作视屏教程</a>
<a href="https://www.bilibili.com/video/BV1fm4y1Q7DG/">5.0变更操作视屏教程</a>
<a href="https://space.bilibili.com/604568670/channel/series/">开发系列合集,关注作者持续更新</a>
<strong>由于版本的变更, 一些图标可能会有一些变化, 但位置无太大的变化</strong></p>
<article class="markdown"><h3 id="开发前视屏">
开发前视屏
<a class="anchor" href="#%e5%bc%80%e5%8f%91%e5%89%8d%e8%a7%86%e5%b1%8f">#</a>
</h3>
<ul>
<li>
<a href="https://www.bilibili.com/video/BV1Md4y1h7iq">6.0介绍视屏</a></li>
<li>
<a href="https://www.bilibili.com/video/BV14u411S7L8/">4.0操作视屏教程</a></li>
<li>
<a href="https://www.bilibili.com/video/BV1fm4y1Q7DG/">5.0变更操作视屏教程</a></li>
<li>
<a href="https://space.bilibili.com/604568670/channel/series/">开发系列合集,关注作者持续更新</a></li>
</ul>
<p><strong>由于版本的变更, 一些图标可能会有一些变化, 但位置无太大的变化</strong></p>
<h3 id="安装python环境">
安装Python环境
<a class="anchor" href="#%e5%ae%89%e8%a3%85python%e7%8e%af%e5%a2%83">#</a>
@ -2189,6 +2197,7 @@ https://github.com/alex-shpak/hugo-book
<ul>
<li>
<ul>
<li><a href="#开发前视屏">开发前视屏</a></li>
<li><a href="#安装python环境">安装Python环境</a></li>
<li><a href="#安装smartchart">安装SmartChart</a></li>
<li><a href="#启动smartchart">启动smartchart</a></li>

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@ -25,7 +25,7 @@ sudo rm -rf /Library/Developer/CommandLineTools sudo rm -f /usr/bin/python3 如
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@ -19,7 +19,7 @@ Smartchart数据集与图形 从仪表盘界面中进入简易开发界面 # " /
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@ -1623,7 +1623,7 @@ https://github.com/alex-shpak/hugo-book
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@ -15,7 +15,7 @@
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@ -27,7 +27,7 @@ TIPS 当没有修改过懒加载数据集的图形时, 默认的全局变量为
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@ -23,7 +23,7 @@
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@ -23,7 +23,7 @@ dataset= { &#34;url&#34;:&#34;https://www.smartchart.cn/smartdata/api&#34;, &#34
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@ -17,7 +17,7 @@
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@ -19,7 +19,7 @@
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@ -27,7 +27,7 @@ import pandas as pd df = pd.read_excel(&#39;/Users/../smartdemo.xlsx&#39;, &#39;
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@ -31,7 +31,7 @@
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@ -112,9 +112,11 @@ let dataset=ds_mapToList(__dataset__); 参数说明： # 除table，其它都为
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://help.smartchart.cn/docs/2.%E6%95%B0%E6%8D%AE%E9%9B%86%E8%AF%B4%E6%98%8E/%E7%89%B9%E6%AE%8A%E6%95%B0%E6%8D%AE%E6%BA%90/promitheus%E6%95%B0%E6%8D%AE%E6%BA%90/</guid>
<description> 数据源配置方法 # 驱动: prometheus 连接地址: http://ip:9090
<description>数据源配置方法 # 驱动: prometheus 连接地址: http://ip:9090
查询方法 # 输入常规查询命令即可 返回值为prometheus标准json, 你需要在图形编辑器中使用js处理数据
let dataset=__dataset__; //获取返回值列表中的第一值 dataset = dataset.data.result[0].value; print(dataset) 同样支持多段查询, 使用分号(;)分隔查询 </description>
let dataset=__dataset__; //获取返回值列表中的第一值 dataset = dataset.data.result[0].value; print(dataset) 处理数据样列 # 如获得的数据
{ &amp;#34;status&amp;#34;:&amp;#34;success&amp;#34;, &amp;#34;data&amp;#34;:{ &amp;#34;resultType&amp;#34;:&amp;#34;vector&amp;#34;, &amp;#34;result&amp;#34;:[ {&amp;#34;metric&amp;#34;:{&amp;#34;__name__&amp;#34;:&amp;#34;starrocks_fe_routine_load_jobs&amp;#34;,&amp;#34;group&amp;#34;:&amp;#34;fe&amp;#34;,&amp;#34;instance&amp;#34;:&amp;#34;xxx:8030&amp;#34;,&amp;#34;job&amp;#34;:&amp;#34;StarRocks_Cluster01&amp;#34;,&amp;#34;state&amp;#34;:&amp;#34;CANCELLED&amp;#34;}, &amp;#34;value&amp;#34;:[1671188429.573,&amp;#34;0&amp;#34;] }, {&amp;#34;metric&amp;#34;:{&amp;#34;__name__&amp;#34;:&amp;#34;starrocks_fe_routine_load_jobs&amp;#34;,&amp;#34;group&amp;#34;:&amp;#34;fe&amp;#34;,&amp;#34;instance&amp;#34;:&amp;#34;xxx:8030&amp;#34;,&amp;#34;job&amp;#34;:&amp;#34;StarRocks_Cluster01&amp;#34;,&amp;#34;state&amp;#34;:&amp;#34;NEED_SCHEDULE&amp;#34;}, &amp;#34;value&amp;#34;:[1671188429.573,&amp;#34;2&amp;#34;]} ... ] } } 图形中处理成smartchart标准格式
//处理prometheus let df = __dataset__; let result = df.data.result; let dataset = [[&amp;#39;instance&amp;#39;,&amp;#39;state&amp;#39;,&amp;#39;qty&amp;#39;]]; //二维表头 for(let item of result){ let pmetric = item.metric; let pvalue = item.value; dataset.push([pmetric.instance,pmetric.state,pvalue[1]]); } dataset = ds_pivot(dataset); //列转行 如果带时序的, 数据处理参考</description>
</item>
<item>

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@ -19,7 +19,7 @@ def dataset(*args, **kwargs): &#34;&#34;&#34; 返回查询数据集 :return: 二
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@ -27,7 +27,7 @@ let dataset=ds_mapToList(__dataset__); 参数说明： # 除table，其它都为
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查询方法 # 输入常规查询命令即可 返回值为prometheus标准json, 你需要在图形编辑器中使用js处理数据
let dataset=__dataset__; //获取返回值列表中的第一值 dataset = dataset.data.result[0].value; print(dataset) 同样支持多段查询, 使用分号(;)分隔查询 ">
let dataset=__dataset__; //获取返回值列表中的第一值 dataset = dataset.data.result[0].value; print(dataset) 处理数据样列 # 如获得的数据
{ &#34;status&#34;:&#34;success&#34;, &#34;data&#34;:{ &#34;resultType&#34;:&#34;vector&#34;, &#34;result&#34;:[ {&#34;metric&#34;:{&#34;__name__&#34;:&#34;starrocks_fe_routine_load_jobs&#34;,&#34;group&#34;:&#34;fe&#34;,&#34;instance&#34;:&#34;xxx:8030&#34;,&#34;job&#34;:&#34;StarRocks_Cluster01&#34;,&#34;state&#34;:&#34;CANCELLED&#34;}, &#34;value&#34;:[1671188429.573,&#34;0&#34;] }, {&#34;metric&#34;:{&#34;__name__&#34;:&#34;starrocks_fe_routine_load_jobs&#34;,&#34;group&#34;:&#34;fe&#34;,&#34;instance&#34;:&#34;xxx:8030&#34;,&#34;job&#34;:&#34;StarRocks_Cluster01&#34;,&#34;state&#34;:&#34;NEED_SCHEDULE&#34;}, &#34;value&#34;:[1671188429.573,&#34;2&#34;]} ... ] } } 图形中处理成smartchart标准格式
//处理prometheus let df = __dataset__; let result = df.data.result; let dataset = [[&#39;instance&#39;,&#39;state&#39;,&#39;qty&#39;]]; //二维表头 for(let item of result){ let pmetric = item.metric; let pvalue = item.value; dataset.push([pmetric.instance,pmetric.state,pvalue[1]]); } dataset = ds_pivot(dataset); //列转行 如果带时序的, 数据处理参考">
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查询方法 # 输入常规查询命令即可 返回值为prometheus标准json, 你需要在图形编辑器中使用js处理数据
let dataset=__dataset__; //获取返回值列表中的第一值 dataset = dataset.data.result[0].value; print(dataset) 同样支持多段查询, 使用分号(;)分隔查询 " />
let dataset=__dataset__; //获取返回值列表中的第一值 dataset = dataset.data.result[0].value; print(dataset) 处理数据样列 # 如获得的数据
{ &#34;status&#34;:&#34;success&#34;, &#34;data&#34;:{ &#34;resultType&#34;:&#34;vector&#34;, &#34;result&#34;:[ {&#34;metric&#34;:{&#34;__name__&#34;:&#34;starrocks_fe_routine_load_jobs&#34;,&#34;group&#34;:&#34;fe&#34;,&#34;instance&#34;:&#34;xxx:8030&#34;,&#34;job&#34;:&#34;StarRocks_Cluster01&#34;,&#34;state&#34;:&#34;CANCELLED&#34;}, &#34;value&#34;:[1671188429.573,&#34;0&#34;] }, {&#34;metric&#34;:{&#34;__name__&#34;:&#34;starrocks_fe_routine_load_jobs&#34;,&#34;group&#34;:&#34;fe&#34;,&#34;instance&#34;:&#34;xxx:8030&#34;,&#34;job&#34;:&#34;StarRocks_Cluster01&#34;,&#34;state&#34;:&#34;NEED_SCHEDULE&#34;}, &#34;value&#34;:[1671188429.573,&#34;2&#34;]} ... ] } } 图形中处理成smartchart标准格式
//处理prometheus let df = __dataset__; let result = df.data.result; let dataset = [[&#39;instance&#39;,&#39;state&#39;,&#39;qty&#39;]]; //二维表头 for(let item of result){ let pmetric = item.metric; let pvalue = item.value; dataset.push([pmetric.instance,pmetric.state,pvalue[1]]); } dataset = ds_pivot(dataset); //列转行 如果带时序的, 数据处理参考" />
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@ -21,7 +25,7 @@ let dataset=__dataset__; //获取返回值列表中的第一值 dataset = datase
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@ -1597,7 +1601,10 @@ https://github.com/alex-shpak/hugo-book
<ul>
<li>
<ul>
<li></li>
<li><a href="#数据源配置方法">数据源配置方法</a></li>
<li><a href="#查询方法">查询方法</a></li>
<li><a href="#处理数据样列">处理数据样列</a></li>
<li><a href="#支持多段查询">支持多段查询</a></li>
</ul>
</li>
</ul>
@ -1614,16 +1621,16 @@ https://github.com/alex-shpak/hugo-book
<article class="markdown"><h4 id="数据源配置方法">
<article class="markdown"><h3 id="数据源配置方法">
数据源配置方法
<a class="anchor" href="#%e6%95%b0%e6%8d%ae%e6%ba%90%e9%85%8d%e7%bd%ae%e6%96%b9%e6%b3%95">#</a>
</h4>
</h3>
<p>驱动: prometheus
连接地址: http://ip:9090</p>
<h4 id="查询方法">
<h3 id="查询方法">
查询方法
<a class="anchor" href="#%e6%9f%a5%e8%af%a2%e6%96%b9%e6%b3%95">#</a>
</h4>
</h3>
<p>输入常规查询命令即可
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@ -1632,7 +1639,59 @@ https://github.com/alex-shpak/hugo-book
</span></span><span style="display:flex;"><span><span style="color:#75715e">//获取返回值列表中的第一值
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">data</span>.<span style="color:#a6e22e">result</span>[<span style="color:#ae81ff">0</span>].<span style="color:#a6e22e">value</span>;
</span></span><span style="display:flex;"><span><span style="color:#a6e22e">print</span>(<span style="color:#a6e22e">dataset</span>)
</span></span></code></pre></div><p>同样支持多段查询, 使用分号(;)分隔查询
</span></span></code></pre></div><h3 id="处理数据样列">
处理数据样列
<a class="anchor" href="#%e5%a4%84%e7%90%86%e6%95%b0%e6%8d%ae%e6%a0%b7%e5%88%97">#</a>
</h3>
<p>如获得的数据</p>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-json" data-lang="json"><span style="display:flex;"><span>{
</span></span><span style="display:flex;"><span><span style="color:#f92672">&#34;status&#34;</span>:<span style="color:#e6db74">&#34;success&#34;</span>,
</span></span><span style="display:flex;"><span><span style="color:#f92672">&#34;data&#34;</span>:{
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;resultType&#34;</span>:<span style="color:#e6db74">&#34;vector&#34;</span>,
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;result&#34;</span>:[
</span></span><span style="display:flex;"><span> {<span style="color:#f92672">&#34;metric&#34;</span>:{<span style="color:#f92672">&#34;__name__&#34;</span>:<span style="color:#e6db74">&#34;starrocks_fe_routine_load_jobs&#34;</span>,<span style="color:#f92672">&#34;group&#34;</span>:<span style="color:#e6db74">&#34;fe&#34;</span>,<span style="color:#f92672">&#34;instance&#34;</span>:<span style="color:#e6db74">&#34;xxx:8030&#34;</span>,<span style="color:#f92672">&#34;job&#34;</span>:<span style="color:#e6db74">&#34;StarRocks_Cluster01&#34;</span>,<span style="color:#f92672">&#34;state&#34;</span>:<span style="color:#e6db74">&#34;CANCELLED&#34;</span>},
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;value&#34;</span>:[<span style="color:#ae81ff">1671188429.573</span>,<span style="color:#e6db74">&#34;0&#34;</span>]
</span></span><span style="display:flex;"><span> },
</span></span><span style="display:flex;"><span> {<span style="color:#f92672">&#34;metric&#34;</span>:{<span style="color:#f92672">&#34;__name__&#34;</span>:<span style="color:#e6db74">&#34;starrocks_fe_routine_load_jobs&#34;</span>,<span style="color:#f92672">&#34;group&#34;</span>:<span style="color:#e6db74">&#34;fe&#34;</span>,<span style="color:#f92672">&#34;instance&#34;</span>:<span style="color:#e6db74">&#34;xxx:8030&#34;</span>,<span style="color:#f92672">&#34;job&#34;</span>:<span style="color:#e6db74">&#34;StarRocks_Cluster01&#34;</span>,<span style="color:#f92672">&#34;state&#34;</span>:<span style="color:#e6db74">&#34;NEED_SCHEDULE&#34;</span>},
</span></span><span style="display:flex;"><span> <span style="color:#f92672">&#34;value&#34;</span>:[<span style="color:#ae81ff">1671188429.573</span>,<span style="color:#e6db74">&#34;2&#34;</span>]}
</span></span><span style="display:flex;"><span> <span style="color:#960050;background-color:#1e0010">...</span>
</span></span><span style="display:flex;"><span> ]
</span></span><span style="display:flex;"><span> }
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div><p>图形中处理成smartchart标准格式</p>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-javascript" data-lang="javascript"><span style="display:flex;"><span><span style="color:#75715e">//处理prometheus
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#66d9ef">let</span> <span style="color:#a6e22e">df</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">__dataset__</span>;
</span></span><span style="display:flex;"><span><span style="color:#66d9ef">let</span> <span style="color:#a6e22e">result</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">df</span>.<span style="color:#a6e22e">data</span>.<span style="color:#a6e22e">result</span>;
</span></span><span style="display:flex;"><span><span style="color:#66d9ef">let</span> <span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> [[<span style="color:#e6db74">&#39;instance&#39;</span>,<span style="color:#e6db74">&#39;state&#39;</span>,<span style="color:#e6db74">&#39;qty&#39;</span>]]; <span style="color:#75715e">//二维表头
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#66d9ef">for</span>(<span style="color:#66d9ef">let</span> <span style="color:#a6e22e">item</span> <span style="color:#66d9ef">of</span> <span style="color:#a6e22e">result</span>){
</span></span><span style="display:flex;"><span> <span style="color:#66d9ef">let</span> <span style="color:#a6e22e">pmetric</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">item</span>.<span style="color:#a6e22e">metric</span>;
</span></span><span style="display:flex;"><span> <span style="color:#66d9ef">let</span> <span style="color:#a6e22e">pvalue</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">item</span>.<span style="color:#a6e22e">value</span>;
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">push</span>([<span style="color:#a6e22e">pmetric</span>.<span style="color:#a6e22e">instance</span>,<span style="color:#a6e22e">pmetric</span>.<span style="color:#a6e22e">state</span>,<span style="color:#a6e22e">pvalue</span>[<span style="color:#ae81ff">1</span>]]);
</span></span><span style="display:flex;"><span>}
</span></span><span style="display:flex;"><span><span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">ds_pivot</span>(<span style="color:#a6e22e">dataset</span>); <span style="color:#75715e">//列转行
</span></span></span></code></pre></div><p>如果带时序的, 数据处理参考</p>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-javascript" data-lang="javascript"><span style="display:flex;"><span><span style="color:#66d9ef">let</span> <span style="color:#a6e22e">df</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">__dataset__</span>;
</span></span><span style="display:flex;"><span><span style="color:#66d9ef">let</span> <span style="color:#a6e22e">result</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">df</span>.<span style="color:#a6e22e">data</span>.<span style="color:#a6e22e">result</span>;
</span></span><span style="display:flex;"><span><span style="color:#66d9ef">let</span> <span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> [[<span style="color:#e6db74">&#39;instance&#39;</span>,<span style="color:#e6db74">&#39;seq&#39;</span>,<span style="color:#e6db74">&#39;qty&#39;</span>]]; <span style="color:#75715e">//二维表头
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span><span style="color:#66d9ef">for</span>(<span style="color:#66d9ef">let</span> <span style="color:#a6e22e">item</span> <span style="color:#66d9ef">of</span> <span style="color:#a6e22e">result</span>){
</span></span><span style="display:flex;"><span> <span style="color:#66d9ef">let</span> <span style="color:#a6e22e">pmetric</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">item</span>.<span style="color:#a6e22e">metric</span>;
</span></span><span style="display:flex;"><span> <span style="color:#66d9ef">let</span> <span style="color:#a6e22e">pvalues</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">item</span>.<span style="color:#a6e22e">values</span>;
</span></span><span style="display:flex;"><span> <span style="color:#66d9ef">let</span> <span style="color:#a6e22e">startv</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">pvalues</span>[<span style="color:#ae81ff">0</span>][<span style="color:#ae81ff">1</span>]; <span style="color:#75715e">//初始值
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span> <span style="color:#66d9ef">for</span>(<span style="color:#66d9ef">let</span> <span style="color:#a6e22e">i</span><span style="color:#f92672">=</span><span style="color:#ae81ff">1</span>; <span style="color:#a6e22e">i</span><span style="color:#f92672">&lt;</span><span style="color:#a6e22e">pvalues</span>.<span style="color:#a6e22e">length</span>; <span style="color:#a6e22e">i</span><span style="color:#f92672">++</span>){
</span></span><span style="display:flex;"><span> <span style="color:#66d9ef">let</span> <span style="color:#a6e22e">pvalue</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">pvalues</span>[<span style="color:#a6e22e">i</span>];
</span></span><span style="display:flex;"><span> <span style="color:#a6e22e">dataset</span>.<span style="color:#a6e22e">push</span>([<span style="color:#a6e22e">i</span>,<span style="color:#a6e22e">pmetric</span>.<span style="color:#a6e22e">instance</span>,<span style="color:#a6e22e">pvalue</span>[<span style="color:#ae81ff">1</span>]<span style="color:#f92672">-</span><span style="color:#a6e22e">startv</span>]); <span style="color:#75715e">//计算增长值
</span></span></span><span style="display:flex;"><span><span style="color:#75715e"></span> }
</span></span><span style="display:flex;"><span>}
</span></span><span style="display:flex;"><span><span style="color:#a6e22e">dataset</span> <span style="color:#f92672">=</span> <span style="color:#a6e22e">ds_pivot</span>(<span style="color:#a6e22e">dataset</span>); <span style="color:#75715e">//列转行
</span></span></span></code></pre></div><p>你可能会用上的时间戳转文本格式</p>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-javascript" data-lang="javascript"><span style="display:flex;"><span><span style="color:#66d9ef">function</span> <span style="color:#a6e22e">getLocalTime</span>(<span style="color:#a6e22e">nS</span>) {
</span></span><span style="display:flex;"><span> <span style="color:#66d9ef">return</span> <span style="color:#66d9ef">new</span> Date(<span style="color:#a6e22e">nS</span> <span style="color:#f92672">*</span> <span style="color:#ae81ff">1000</span>).<span style="color:#a6e22e">toLocaleString</span>();
</span></span><span style="display:flex;"><span>}
</span></span></code></pre></div><h3 id="支持多段查询">
支持多段查询
<a class="anchor" href="#%e6%94%af%e6%8c%81%e5%a4%9a%e6%ae%b5%e6%9f%a5%e8%af%a2">#</a>
</h3>
<p>使用分号(;)分隔查询
<img referrerpolicy="no-referrer" src="https://foruda.gitee.com/images/1671000954955755281/9efc6cb9_5500438.png" alt="输入图片说明" title="屏幕截图"/></p>
</article>
@ -1687,7 +1746,10 @@ https://github.com/alex-shpak/hugo-book
<ul>
<li>
<ul>
<li></li>
<li><a href="#数据源配置方法">数据源配置方法</a></li>
<li><a href="#查询方法">查询方法</a></li>
<li><a href="#处理数据样列">处理数据样列</a></li>
<li><a href="#支持多段查询">支持多段查询</a></li>
</ul>
</li>
</ul>

2
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@ -19,7 +19,7 @@
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docs/docs/2.数据集说明/特殊数据源/webSocket方式/index.html
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@ -19,7 +19,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
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2
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@ -23,7 +23,7 @@
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@ -19,7 +19,7 @@
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<!--

2
docs/docs/3.图形开发/Echarts组件/index.html
View File

@ -25,7 +25,7 @@ let dataset = __dataset__ //传入dataset let legend_label = ds_rowname(dataset)
<link rel="icon" href="/favicon.png" type="image/x-icon">
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<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
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@ -15,7 +15,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
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<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
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2
docs/docs/3.图形开发/ElementUI组件/带分页的表格/index.html
View File

@ -17,7 +17,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
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<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--

2
docs/docs/3.图形开发/HTML组件/index.html
View File

@ -23,7 +23,7 @@ let dataset=__dataset__; let table = &#39;&#39;; for (let i=1;i&lt;dataset.lengt
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.1ccb98145bb3fdcc53c1644cf31bf89b8c12703ca046029398384c85723cf5ee.js" integrity="sha256-HMuYFFuz/cxTwWRM8xv4m4wScDygRgKTmDhMhXI89e4=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
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2
docs/docs/3.图形开发/index.html
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@ -15,7 +15,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
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<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.1ccb98145bb3fdcc53c1644cf31bf89b8c12703ca046029398384c85723cf5ee.js" integrity="sha256-HMuYFFuz/cxTwWRM8xv4m4wScDygRgKTmDhMhXI89e4=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
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2
docs/docs/3.图形开发/函数方法/Jquery遍历方法/index.html
View File

@ -25,7 +25,7 @@ parent() 获取元素的直接父元素 $(&#34;span&#34;).parent().css({ &#34;co
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.1ccb98145bb3fdcc53c1644cf31bf89b8c12703ca046029398384c85723cf5ee.js" integrity="sha256-HMuYFFuz/cxTwWRM8xv4m4wScDygRgKTmDhMhXI89e4=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
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2
docs/docs/3.图形开发/函数方法/index.html
View File

@ -15,7 +15,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
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<script defer src="/en.search.min.1ccb98145bb3fdcc53c1644cf31bf89b8c12703ca046029398384c85723cf5ee.js" integrity="sha256-HMuYFFuz/cxTwWRM8xv4m4wScDygRgKTmDhMhXI89e4=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
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2
docs/docs/3.图形开发/函数方法/图形端数据函数/index.html
View File

@ -21,7 +21,7 @@ dataset = [[&#39;category&#39;,&#39;C1&#39;,&#39;C2&#39;], [&#39;R1&#39;, 12, 18
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.1ccb98145bb3fdcc53c1644cf31bf89b8c12703ca046029398384c85723cf5ee.js" integrity="sha256-HMuYFFuz/cxTwWRM8xv4m4wScDygRgKTmDhMhXI89e4=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--

2
docs/docs/3.图形开发/基础图形/index.html
View File

@ -21,7 +21,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.1ccb98145bb3fdcc53c1644cf31bf89b8c12703ca046029398384c85723cf5ee.js" integrity="sha256-HMuYFFuz/cxTwWRM8xv4m4wScDygRgKTmDhMhXI89e4=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--

2
docs/docs/3.图形开发/特殊图形/LineUp图形/index.html
View File

@ -19,7 +19,7 @@ ds_loadcss(&#39;smt_LineUp&#39;); ds_loadjs(&#39;smt_LineUp&#39;); let dataset =
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.1ccb98145bb3fdcc53c1644cf31bf89b8c12703ca046029398384c85723cf5ee.js" integrity="sha256-HMuYFFuz/cxTwWRM8xv4m4wScDygRgKTmDhMhXI89e4=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--

2
docs/docs/3.图形开发/特殊图形/index.html
View File

@ -15,7 +15,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
<script defer src="/flexsearch.min.js"></script>
<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
<script defer src="/en.search.min.1ccb98145bb3fdcc53c1644cf31bf89b8c12703ca046029398384c85723cf5ee.js" integrity="sha256-HMuYFFuz/cxTwWRM8xv4m4wScDygRgKTmDhMhXI89e4=" crossorigin="anonymous"></script>
<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<link rel="alternate" type="application/rss+xml" href="https://help.smartchart.cn/docs/3.%E5%9B%BE%E5%BD%A2%E5%BC%80%E5%8F%91/%E7%89%B9%E6%AE%8A%E5%9B%BE%E5%BD%A2/index.xml" title="Smartchart开发手册" />

2
docs/docs/3.图形开发/特殊图形/使用图标/index.html
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@ -17,7 +17,7 @@
<link rel="icon" href="/favicon.png" type="image/x-icon">
<link rel="stylesheet" href="/book.min.c58292d36b18b675680ab9baea2029204537b839ea72f258746ec0f32ce8d6c8.css" integrity="sha256-xYKS02sYtnVoCrm66iApIEU3uDnqcvJYdG7A8yzo1sg=" crossorigin="anonymous">
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<script defer src="/en.search.min.2303c3b073dd2c74e111bf72840f2b5118ffa228235011e8e7a7bb09478696a2.js" integrity="sha256-IwPDsHPdLHThEb9yhA8rURj/oigjUBHo56e7CUeGlqI=" crossorigin="anonymous"></script>
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<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
<!--

2
docs/docs/3.图形开发/特殊图形/无缝滚动/index.html
View File

@ -25,7 +25,7 @@ marconfig={ playtime: 3000, //滚动3秒 pausetime: 3000, //停3秒 config:{ dir
<link rel="icon" href="/favicon.png" type="image/x-icon">
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@ -27,7 +27,7 @@ TIPS: 在图形编辑器中, 可以使用函数 ds_param(&lsquo;参数名&rsquo;
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@ -29,7 +29,7 @@ select xx, xx, xx from tablename /* where xx = &#39;$pcity&#39; */ 现在回到
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@ -25,7 +25,7 @@ select distinct H1 as heroname from smartdemo2 limit 10 第三步，编辑此数
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@ -35,7 +35,7 @@ CSS的几种引入方式 行内样式 行内式是在标记的style属性中设
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@ -19,7 +19,7 @@
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@ -17,7 +17,7 @@
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@ -15,7 +15,7 @@
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@ -31,7 +31,7 @@ curl -k --insecure &#34;https://www.baidu.com” 修改为可执行文件 chmod
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@ -23,7 +23,7 @@ $(&#39;#id_down1&#39;).click(()=&gt;{ ds_download(&#39;报表数据.csv&#39;, da
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@ -21,7 +21,7 @@ GET 请求 # #接口请求格式: url= &#39;/echart/dataset_api/?visitor=xxx&amp
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@ -17,7 +17,7 @@
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docs/docs/7.报表嵌入/单页面嵌入/index.html
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@ -25,7 +25,7 @@ import time import hashlib import os SMART_CHART_URL = &#39;http://127.0.0.1:800
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docs/docs/7.报表嵌入/简单嵌入/index.html
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@ -21,7 +21,7 @@ http://localhost:8000/echart?type=仪表盘名称 如：http://localhost:8000/ec
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docs/docs/8.Django应用/FAQ/index.html
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@ -21,7 +21,7 @@ python3 manage.py collectstatic " />
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@ -15,7 +15,7 @@
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docs/docs/8.Django应用/嵌入Django-Apps/index.html
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@ -23,7 +23,7 @@ TEMPLATES = [ { &#39;BACKEND&#39;: &#39;django.template.backends.django.DjangoTe
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