{ "cells": [ { "cell_type": "markdown", "id": "2f3dbd5a", "metadata": {}, "source": [ "(plotly:shapes)=\n", "# 几何形状\n", "\n", "参考:[Shapes | Python | Plotly](https://plotly.com/python/shapes/#drawing-shapes-on-cartesian-plots)\n", "\n", "如何在 Python 中制作 SVG 形状。线、圆、矩形和路径的示例。\n", "\n", "## 向 Figure 添加线条和多边形\n", "\n", "```{tip} 两种方法的区别\n", "- 轨迹可以选择支持悬停标签,并且可以出现在图例中。\n", "- 形状只能在二维笛卡尔子图中绝对或相对于数据坐标定位。\n", "- 轨迹不能绝对定位,但可以相对于任何子图类型中的日期坐标定位。\n", "- 在 [](plotly:text-and-annotations) 中介绍了轨迹也支持 **可选文本**。\n", "```\n", "\n", "作为一般规则,有两种向 Figure 添加形状(线或多边形)的方法:\n", "\n", "1. **轨迹**:`scatter` 系列(例如 `scatter`、`scatter3d`、`scattergeo` 等)的轨迹类型,可以使用 `mode=\"lines\"` 绘制,并且可以选择支持 `fill=\"self\"` 属性,因此可用于在 Figure 上绘制开放或封闭的形状。\n", "2. **形状**:可以使用 `fig.add_shape()` 将独立的线、椭圆和矩形添加到 Figure 中,它们可以绝对定位在 Figure 内,也可以相对于 2D 笛卡尔子图的轴定位,即在数据坐标中。\n", "\n", "```{note}\n", "在 [](plotly:horizontal-vertical-shapes) 中介绍了一些特殊的方法(如 `add_hline`、`add_vline`、`add_hrect` 和 `add_vrect`)用于绘制水平或垂直线或矩形的常见情况,这些线或矩形固定在一个轴上的数据坐标并在另一个轴上绝对定位。\n", "```\n", "\n", "## 用散点图轨迹绘制形状\n", "\n", "有两种绘制填充形状的方法:散点图轨迹和 [layout.shapes](https://plotly.com/python/reference/layout/shapes/#layout-shapes-items-shape-type) 主要用于 2D 子图,并定义要绘制的形状类型,可以是矩形、圆形、直线或路径(自定义 SVG 路径)。您还可以使用 [scatterpolar](https://plotly.com/python/polar-chart/#categorical-polar-chart)、[scattergeo](https://plotly.com/python/reference/scattergeo)、[scattermapbox](https://plotly.com/python/filled-area-on-mapbox/#filled-scattermapbox-trace) 在任何类型的子图上绘制填充形状。要将区域设置为用纯色填充,您需要定义 [Scatter.fill=\"toself\"](https://plotly.com/python/reference/scatter/#scatter-fill) 将轨迹的端点连接成一个封闭的形状。如果 `mode=\"lines\"`(默认值 `\"lines+markers\"`),那么您需要在序列的初始点重复一个形状,以获得一个封闭的形状。" ] }, { "cell_type": "code", "execution_count": 1, "id": "a12da14a", "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": 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