- Matplotlib 基础
- Matplotlib - 首页
- Matplotlib - 简介
- Matplotlib - 与 Seaborn 的比较
- Matplotlib - 环境配置
- Matplotlib - Anaconda 发行版
- Matplotlib - Jupyter Notebook
- Matplotlib - Pyplot API
- Matplotlib - 简单绘图
- Matplotlib - 保存图形
- Matplotlib - 标记
- Matplotlib - 图形
- Matplotlib - 样式
- Matplotlib - 图例
- Matplotlib - 颜色
- Matplotlib - 颜色图
- Matplotlib - 颜色图归一化
- Matplotlib - 选择颜色图
- Matplotlib - 颜色条
- Matplotlib - 文本
- Matplotlib - 文本属性
- Matplotlib - 子图标题
- Matplotlib - 图片
- Matplotlib - 图片蒙版
- Matplotlib - 注释
- Matplotlib - 箭头
- Matplotlib - 字体
- Matplotlib - 什么是字体?
- 全局设置字体属性
- Matplotlib - 字体索引
- Matplotlib - 字体属性
- Matplotlib - 刻度
- Matplotlib - 线性与对数刻度
- Matplotlib - 对称对数和Logit刻度
- Matplotlib - LaTeX
- Matplotlib - 什么是LaTeX?
- Matplotlib - LaTeX 用于数学表达式
- Matplotlib - 在注释中使用LaTeX文本格式
- Matplotlib - PostScript
- 在注释中启用LaTeX渲染
- Matplotlib - 数学表达式
- Matplotlib - 动画
- Matplotlib - 绘图元素
- Matplotlib - 使用Cycler进行样式设置
- Matplotlib - 路径
- Matplotlib - 路径效果
- Matplotlib - 变换
- Matplotlib - 刻度和刻度标签
- Matplotlib - 弧度刻度
- Matplotlib - 日期刻度
- Matplotlib - 刻度格式化器
- Matplotlib - 刻度定位器
- Matplotlib - 基本单位
- Matplotlib - 自动缩放
- Matplotlib - 反转坐标轴
- Matplotlib - 对数坐标轴
- Matplotlib - Symlog
- Matplotlib - 单位处理
- Matplotlib - 带单位的椭圆
- Matplotlib - 脊柱
- Matplotlib - 坐标轴范围
- Matplotlib - 坐标轴刻度
- Matplotlib - 坐标轴刻度
- Matplotlib - 格式化坐标轴
- Matplotlib - Axes 类
- Matplotlib - 双坐标轴
- Matplotlib - Figure 类
- Matplotlib - 多图
- Matplotlib - 网格
- Matplotlib - 面向对象接口
- Matplotlib - PyLab 模块
- Matplotlib - subplots() 函数
- Matplotlib - subplot2grid() 函数
- Matplotlib - 锚定绘图元素
- Matplotlib - 手动等高线
- Matplotlib - 坐标报告
- Matplotlib - AGG 滤镜
- Matplotlib - 棱柱盒
- Matplotlib - 填充螺旋线
- Matplotlib - findobj 演示
- Matplotlib - 超链接
- Matplotlib - 图片缩略图
- Matplotlib - 使用关键字绘图
- Matplotlib - 创建Logo
- Matplotlib - 多页PDF
- Matplotlib - 多进程
- Matplotlib - 打印标准输出
- Matplotlib - 复合路径
- Matplotlib - Sankey 类
- Matplotlib - MRI 与 EEG
- Matplotlib - 样式表
- Matplotlib - 背景颜色
- Matplotlib - Basemap
- Matplotlib 事件处理
- Matplotlib - 事件处理
- Matplotlib - 关闭事件
- Matplotlib - 鼠标移动
- Matplotlib - 点击事件
- Matplotlib - 滚动事件
- Matplotlib - 按键事件
- Matplotlib - 选择事件
- Matplotlib - 透视镜
- Matplotlib - 路径编辑器
- Matplotlib - 多边形编辑器
- Matplotlib - 定时器
- Matplotlib - Viewlims
- Matplotlib - 缩放窗口
- Matplotlib 小部件
- Matplotlib - 光标小部件
- Matplotlib - 带注释的光标
- Matplotlib - 按钮小部件
- Matplotlib - 复选框
- Matplotlib - 套索选择器
- Matplotlib - 菜单小部件
- Matplotlib - 鼠标光标
- Matplotlib - 多光标
- Matplotlib - 多边形选择器
- Matplotlib - 单选按钮
- Matplotlib - 范围滑块
- Matplotlib - 矩形选择器
- Matplotlib - 椭圆选择器
- Matplotlib - 滑块小部件
- Matplotlib - 跨度选择器
- Matplotlib - 文本框
- Matplotlib 绘图
- Matplotlib - 条形图
- Matplotlib - 直方图
- Matplotlib - 饼图
- Matplotlib - 散点图
- Matplotlib - 箱线图
- Matplotlib - 小提琴图
- Matplotlib - 等高线图
- Matplotlib - 3D 绘图
- Matplotlib - 3D 等高线
- Matplotlib - 3D 线框图
- Matplotlib - 3D 表面图
- Matplotlib - 矢羽图
- Matplotlib 有用资源
- Matplotlib - 快速指南
- Matplotlib - 有用资源
- Matplotlib - 讨论
Matplotlib - 多边形编辑器
多边形编辑器 (Poly Editor) 是多边形编辑器 (Polygon Editor) 的简称,它是一个允许用户在图形环境中交互式编辑和操作多边形顶点的应用程序。
在 Matplotlib 的上下文中,多边形编辑器通常指的是一个跨GUI应用程序,它允许用户交互式修改画布上显示的多边形。此应用程序提供了诸如添加、删除和移动多边形顶点,以及使用鼠标点击和键绑定调整其形状和位置等功能。
本教程将演示如何使用 Matplotlib 的事件处理功能创建多边形编辑器。
创建多边形交互类
要创建多边形编辑器,请定义一个名为 PolygonInteractor 的 Python 类,该类处理与多边形顶点的交互。此类实现事件处理方法以响应用户交互:
on_draw - 处理多边形及其顶点的绘制。
on_button_press - 响应鼠标按钮按下以选择顶点。
on_button_release - 处理鼠标按钮释放。
on_key_press - 处理按键以切换顶点标记(使用“t”键)、删除顶点(使用“d”键)或插入新顶点(使用“i”键)。
on_mouse_move - 处理鼠标移动以拖动顶点并更新多边形。
以下是 PolygonInteractor 类的实现:
class PolygonInteractor: showverts = True epsilon = 3 def __init__(self, ax, poly): if poly.figure is None: raise RuntimeError('You must first add the polygon to a figure ' 'or canvas before defining the interactor') self.ax = ax canvas = poly.figure.canvas self.poly = poly x, y = zip(*self.poly.xy) self.line = Line2D(x, y, marker='o', markerfacecolor='r', animated=True) self.ax.add_line(self.line) self.cid = self.poly.add_callback(self.poly_changed) self._ind = None # the active vert canvas.mpl_connect('draw_event', self.on_draw) canvas.mpl_connect('button_press_event', self.on_button_press) canvas.mpl_connect('key_press_event', self.on_key_press) canvas.mpl_connect('button_release_event', self.on_button_release) canvas.mpl_connect('motion_notify_event', self.on_mouse_move) self.canvas = canvas def on_draw(self, event): self.background = self.canvas.copy_from_bbox(self.ax.bbox) self.ax.draw_artist(self.poly) self.ax.draw_artist(self.line) def poly_changed(self, poly): vis = self.line.get_visible() Artist.update_from(self.line, poly) self.line.set_visible(vis) # don't use the poly visibility state def get_ind_under_point(self, event): xy = np.asarray(self.poly.xy) xyt = self.poly.get_transform().transform(xy) xt, yt = xyt[:, 0], xyt[:, 1] d = np.hypot(xt - event.x, yt - event.y) indseq, = np.nonzero(d == d.min()) ind = indseq[0] if d[ind] >= self.epsilon: ind = None return ind def on_button_press(self, event): if not self.showverts: return if event.inaxes is None: return if event.button != 1: return self._ind = self.get_ind_under_point(event) def on_button_release(self, event): if not self.showverts: return if event.button != 1: return self._ind = None def on_key_press(self, event): if not event.inaxes: return if event.key == 't': self.showverts = not self.showverts self.line.set_visible(self.showverts) if not self.showverts: self._ind = None elif event.key == 'd': ind = self.get_ind_under_point(event) if ind is not None: self.poly.xy = np.delete(self.poly.xy, ind, axis=0) self.line.set_data(zip(*self.poly.xy)) elif event.key == 'i': xys = self.poly.get_transform().transform(self.poly.xy) p = event.x, event.y # display coords for i in range(len(xys) - 1): s0 = xys[i] s1 = xys[i + 1] d = dist_point_to_segment(p, s0, s1) if d <= self.epsilon: self.poly.xy = np.insert( self.poly.xy, i+1, [event.xdata, event.ydata], axis=0) self.line.set_data(zip(*self.poly.xy)) break if self.line.stale: self.canvas.draw_idle() def on_mouse_move(self, event): if not self.showverts: return if self._ind is None: return if event.inaxes is None: return if event.button != 1: return x, y = event.xdata, event.ydata self.poly.xy[self._ind] = x, y if self._ind == 0: self.poly.xy[-1] = x, y elif self._ind == len(self.poly.xy) - 1: self.poly.xy[0] = x, y self.line.set_data(zip(*self.poly.xy)) self.canvas.restore_region(self.background) self.ax.draw_artist(self.poly) self.ax.draw_artist(self.line) self.canvas.blit(self.ax.bbox)
定义实用程序函数
定义一个实用程序函数 dist_point_to_segment 来计算点和线段之间的距离。此函数用于确定在交互过程中哪个顶点最接近鼠标光标。
def dist_point_to_segment(p, s0, s1): s01 = s1 - s0 s0p = p - s0 if (s01 == 0).all(): return np.hypot(*s0p) p1 = s0 + np.clip((s0p @ s01) / (s01 @ s01), 0, 1) * s01 return np.hypot(*(p - p1))
初始化多边形编辑器
要初始化多边形编辑器,我们需要创建一个 PolygonInteractor 类的实例,并将轴对象和多边形对象传递给它。
if __name__ == '__main__': import matplotlib.pyplot as plt from matplotlib.patches import Polygon theta = np.arange(0, 2*np.pi, 0.2) r = 1.5 xs = r * np.cos(theta) ys = r * np.sin(theta) poly = Polygon(np.column_stack([xs, ys]), animated=True) fig, ax = plt.subplots() ax.add_patch(poly) p = PolygonInteractor(ax, poly) ax.set_title('Click and drag a point to move it') ax.set_xlim((-2, 2)) ax.set_ylim((-2, 2)) plt.show()
运行多边形编辑器
通过执行下面提供的完整代码,我们将得到一个 Matplotlib 窗口,其中显示带有多边形的绘图。我们可以通过单击和拖动其顶点与多边形进行交互,通过按“t”键切换顶点标记,按“d”键删除顶点,按“i”键插入新顶点。
示例
import matplotlib.pyplot as plt import numpy as np from matplotlib.backend_bases import MouseButton from matplotlib.patches import PathPatch from matplotlib.path import Path class PathInteractor: showverts = True # max pixel distance to count as a vertex hit epsilon = 5 def __init__(self, pathpatch): # Initialization and event connections self.ax = pathpatch.axes canvas = self.ax.figure.canvas self.pathpatch = pathpatch self.pathpatch.set_animated(True) x, y = zip(*self.pathpatch.get_path().vertices) self.line, = ax.plot( x, y, marker='o', markerfacecolor='r', animated=True) self._ind = None # the active vertex canvas.mpl_connect('draw_event', self.on_draw) canvas.mpl_connect('button_press_event', self.on_button_press) canvas.mpl_connect('key_press_event', self.on_key_press) canvas.mpl_connect('button_release_event', self.on_button_release) canvas.mpl_connect('motion_notify_event', self.on_mouse_move) self.canvas = canvas def get_ind_under_point(self, event): # Return the index of the point closest to the event position or None xy = self.pathpatch.get_path().vertices xyt = self.pathpatch.get_transform().transform(xy) # to display coords xt, yt = xyt[:, 0], xyt[:, 1] d = np.sqrt((xt - event.x)**2 + (yt - event.y)**2) ind = d.argmin() return ind if d[ind] < self.epsilon else None def on_draw(self, event): # Callback for draws. self.background = self.canvas.copy_from_bbox(self.ax.bbox) self.ax.draw_artist(self.pathpatch) self.ax.draw_artist(self.line) self.canvas.blit(self.ax.bbox) def on_button_press(self, event): # Callback for mouse button presses if (event.inaxes is None or event.button != MouseButton.LEFT or not self.showverts): return self._ind = self.get_ind_under_point(event) def on_button_release(self, event): # Callback for mouse button releases if (event.button != MouseButton.LEFT or not self.showverts): return self._ind = None def on_key_press(self, event): # Callback for key presses if not event.inaxes: return if event.key == 't': self.showverts = not self.showverts self.line.set_visible(self.showverts) if not self.showverts: self._ind = None self.canvas.draw() def on_mouse_move(self, event): # Callback for mouse movements if (self._ind is None or event.inaxes is None or event.button != MouseButton.LEFT or not self.showverts): return vertices = self.pathpatch.get_path().vertices vertices[self._ind] = event.xdata, event.ydata self.line.set_data(zip(*vertices)) self.canvas.restore_region(self.background) self.ax.draw_artist(self.pathpatch) self.ax.draw_artist(self.line) self.canvas.blit(self.ax.bbox) fig, ax = plt.subplots() pathdata = [ (Path.MOVETO, (1.58, -2.57)), (Path.CURVE4, (0.35, -1.1)), (Path.CURVE4, (-1.75, 2.0)), (Path.CURVE4, (0.375, 2.0)), (Path.LINETO, (0.85, 1.15)), (Path.CURVE4, (2.2, 3.2)), (Path.CURVE4, (3, 0.05)), (Path.CURVE4, (2.0, -0.5)), (Path.CLOSEPOLY, (1.58, -2.57)), ] codes, verts = zip(*pathdata) path = Path(verts, codes) patch = PathPatch( path, facecolor='green', edgecolor='yellow', alpha=0.5) ax.add_patch(patch) interactor = PathInteractor(patch) ax.set_title('drag vertices to update path') ax.set_xlim(-3, 4) ax.set_ylim(-3, 4) plt.show()
输出
执行上述代码后,我们将获得以下输出:
观看下面的视频以观察此应用程序的工作方式: