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Deno 2.2 Improves Dependency Management and Expands Node.js Compatibility
Deno 2.2 enhances Node.js compatibility, improves dependency management, adds OpenTelemetry support, and expands linting and task automation for developers.
@easyv/charts
Advanced tools
``` easyv-charts ├─ .babelrc ├─ lib // 执行 `npm run make` 命令后的打包后自动生成的目录 ├─ package-lock.json ├─ package.json ├─ src │ ├─ components │ │ ├─ AnimateData.js // 用来做图表数据改变(增长)动画(HOC) │ │ ├─ Axis.js // x, y,
easyv-charts
├─ .babelrc
├─ lib // 执行 `npm run make` 命令后的打包后自动生成的目录
├─ package-lock.json
├─ package.json
├─ src
│ ├─ components
│ │ ├─ AnimateData.js // 用来做图表数据改变(增长)动画(HOC)
│ │ ├─ Axis.js // x, y, z轴
│ │ ├─ Background.js // 轴类图背景
│ │ ├─ Band.js // (柱状/条形)图柱子
│ │ ├─ Brush.js // 实现中
│ │ ├─ Carousel.js // 饼图类图表轮播逻辑,用来管理currentIndex,及回调逻辑(HOC)
│ │ ├─ CartesianChart.js // 轴类图表
│ │ ├─ Chart.js // 总入口,通过外面传进来的type来确定渲染哪种图表,饼环图表为“pie”,否则为轴类图表
│ │ ├─ ChartContainer.js // svg外框
│ │ ├─ ConicalGradient.js // 饼图装饰内圈
│ │ ├─ ExtentData.js // 计算X/Y/Z轴的domain,具体的逻辑在useExtentData(HOC)
│ │ ├─ FilterData.js // 点击图例进行数据筛选,具体逻辑在useFilterData(HOC)
│ │ ├─ Indicator.js // 轴类图表移上去的指示框背景
│ │ ├─ Label.js // 轴类图表标签
│ │ ├─ Legend.js // 图例
│ │ ├─ Lighter.jsx // 区域图发光跟踪路径
│ │ ├─ Line.js // 折线图
│ │ ├─ LinearGradient.js // svg渐变滤镜
│ │ ├─ PieChart.js // 饼环图
│ │ ├─ StackData.js // 堆叠类,具体逻辑在useStackData(HOC)
│ │ ├─ StereoBar.js // 伪3D柱状图
│ │ ├─ Tooltip.js // 提示框
│ │ └─ index.js
│ ├─ context
│ │ └─ index.js
│ ├─ css
│ │ └─ index.module.css
│ ├─ element
│ │ ├─ Line.js // <line />线组件
│ │ └─ index.js
│ ├─ hooks
│ │ ├─ index.js
│ │ ├─ useAnimateData.js //
│ │ ├─ useAxes.js
│ │ ├─ useCarouselAxisX.js
│ │ ├─ useExtentData.js
│ │ ├─ useFilterData.js
│ │ ├─ useStackData.js
│ │ └─ useTooltip.js
│ ├─ index.js
│ └─ utils
│ └─ index.js
└─ tsconfig.json
FAQs
``` easyv-charts ├─ .babelrc ├─ lib // 执行 `npm run make` 命令后的打包后自动生成的目录 ├─ package-lock.json ├─ package.json ├─ src │ ├─ components │ │ ├─ AnimateData.js // 用来做图表数据改变(增长)动画(HOC) │ │ ├─ Axis.js // x, y,
The npm package @easyv/charts receives a total of 136 weekly downloads. As such, @easyv/charts popularity was classified as not popular.
We found that @easyv/charts demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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