matplotlib之多边形选区PolygonSelector使用代码

本篇文章小编给大家分享一下matplotlib之多边形选区PolygonSelector使用代码，文章代码介绍的很详细，小编觉得挺不错的，现在分享给大家供大家参考，有需要的小伙伴们可以来看看。

多边形选区概述

多边形选区是一种常见的对象选择方式，在一个子图中，单击鼠标左键即构建一个多边形的端点，最后一个端点与第一个端点重合即完成多边形选区，选区即为多个端点构成的多边形。在matplotpb中的多边形选区属于部件（widgets），matplotpb中的部件都是中性（neutral ）的，即与具体后端实现无关。

多边形选区具体实现定义为matplotpb.widgets.PolygonSelector类，继承关系为：Widget->AxesWidget->_SelectorWidget->PolygonSelector。

PolygonSelector类的签名为class matplotpb.widgets.PolygonSelector(ax, onselect, usebpt=False, pneprops=None, markerprops=None, vertex_select_radius=15)

PolygonSelector类构造函数的参数为：

ax：多边形选区生效的子图，类型为matplotpb.axes.Axes的实例。

onselect：多边形选区完成后执行的回调函数，函数签名为def onselect( vertices)，vertices数据类型为列表，列表元素格式为(xdata,ydata)元组。

drawtype：多边形选区的外观，取值范围为{"box", "pne", "none"}，"box"为多边形框，"pne"为多边形选区对角线，"none"无外观，类型为字符串，默认值为"box"。

pneprops：多边形选区线条的属性，默认值为dict(color='k', pnestyle='-', pne, alpha=0.5)。

markerprops：多边形选区端点的属性，默认值为dict(marker='o', markersize=7, mec='k', mfc='k', alpha=0.5)。

vertex_select_radius：多边形端点的选择半径，浮点数，默认值为15，用于端点选择或者多边形闭合。

PolygonSelector类中的state_modifier_keys公有变量 state_modifier_keys定义了操作快捷键，类型为字典。

“move_all”： 移动已存在的选区，默认为"shift"。

“clear”：清除现有选区，默认为 "escape"，即esc键。

“move_vertex”：正方形选区，默认为"control"。

PolygonSelector类中的verts特性返回多边形选区中的多有端点，类型为列表，元素为(x,y)元组，即端点的坐标元组。

案例

官方案例，https://matplotpb.org/gallery/widgets/polygon_selector_demo.html

案例说明

单击鼠标左键创建端点，最终点击初始端点闭合多边形，形成多边形选区。选区外的数据元素颜色变淡，选区内数据颜色保持不变。

按esc键取消选区。按shift键鼠标可以移动多边形选区位置，按ctrl键鼠标可以移动多边形选区某个端点的位置。退出程序时，控制台输出选区内数据元素的坐标。

控制台输出：

Selected points:

[[2.0 2.0]

[1.0 3.0]

[2.0 3.0]]

案例代码

import numpy as np

from matplotlib.widgets import PolygonSelector
from matplotlib.path import Path


class SelectFromCollection:
  """
  Select indices from a matplotlib collection using `PolygonSelector`.

  Selected indices are saved in the `ind` attribute. This tool fades out the
  points that are not part of the selection (i.e., reduces their alpha
  values). If your collection has alpha < 1, this tool will permanently
  alter the alpha values.

  Note that this tool selects collection objects based on their *origins*
  (i.e., `offsets`).

  Parameters
  ----------
  ax : `~matplotlib.axes.Axes`
    Axes to interact with.
  collection : `matplotlib.collections.Collection` subclass
    Collection you want to select from.
  alpha_other : 0 <= float <= 1
    To highlight a selection, this tool sets all selected points to an
    alpha value of 1 and non-selected points to *alpha_other*.
  """

  def __init__(self, ax, collection, alpha_other=0.3):
    self.canvas = ax.figure.canvas
    self.collection = collection
    self.alpha_other = alpha_other

    self.xys = collection.get_offsets()
    self.Npts = len(self.xys)

    # Ensure that we have separate colors for each object
    self.fc = collection.get_facecolors()
    if len(self.fc) == 0:
      raise ValueError('Collection must have a facecolor')
    elif len(self.fc) == 1:
      self.fc = np.tile(self.fc, (self.Npts, 1))

    self.poly = PolygonSelector(ax, self.onselect)
    self.ind = []

  def onselect(self, verts):
    path = Path(verts)
    self.ind = np.nonzero(path.contains_points(self.xys))[0]
    self.fc[:, -1] = self.alpha_other
    self.fc[self.ind, -1] = 1
    self.collection.set_facecolors(self.fc)
    self.canvas.draw_idle()

  def disconnect(self):
    self.poly.disconnect_events()
    self.fc[:, -1] = 1
    self.collection.set_facecolors(self.fc)
    self.canvas.draw_idle()


if __name__ == '__main__':
  import matplotlib.pyplot as plt

  fig, ax = plt.subplots()
  grid_size = 5
  grid_x = np.tile(np.arange(grid_size), grid_size)
  grid_y = np.repeat(np.arange(grid_size), grid_size)
  pts = ax.scatter(grid_x, grid_y)

  selector = SelectFromCollection(ax, pts)

  print("Select points in the figure by enclosing them within a polygon.")
  print("Press the 'esc' key to start a new polygon.")
  print("Try holding the 'shift' key to move all of the vertices.")
  print("Try holding the 'ctrl' key to move a single vertex.")

  plt.show()

  selector.disconnect()

  # After figure is closed print the coordinates of the selected points
  print('nSelected points:')
  print(selector.xys[selector.ind])