Python中的 Matplotlib.axes.Axes.set_contains()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Axes 类包含大部分图形元素：Axis、Tick、Line2D、Text、Polygon 等，并设置坐标系。 Axes 的实例通过回调属性支持回调。

matplotlib.axes.Axes.set_contains()函数

matplotlib 库的轴模块中的Axes.set_contains()函数用于为艺术家定义自定义包含测试。

Syntax: Axes.set_contains(self, picker)

Parameters: This method accept the following parameters as discussed below:

picker : This parameter is the custom picker function to evaluate if an event is within the artist.

Returns: This method does not return any value.

编程需要懂一点英语

下面的示例说明了 matplotlib.axes 中的 matplotlib.axes.Axes.set_contains()函数：

示例 1：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle
from matplotlib.text import Text
from matplotlib.image import AxesImage
import numpy as np
from numpy.random import rand
  
  
fig, (ax1, ax2) = plt.subplots(2, 1)
ax1.set_ylabel('ylabel', picker = True,
               bbox = dict(facecolor ='red'))
  
line, = ax1.plot(rand(100), 'go-')
  
ax2.bar(range(10), rand(10), picker = True)
  
for label in ax2.get_xticklabels(): 
    label.set_picker(True)
  
def onpick1(event):
      
    if isinstance(event.artist, Line2D):
        thisline = event.artist
        xdata = thisline.get_xdata()
        ydata = thisline.get_ydata()
        ind = event.ind
        print('onpick1 line:', np.column_stack([xdata[ind],
                                                ydata[ind]]))
          
    elif isinstance(event.artist, Rectangle):
        patch = event.artist
        print('onpick1 patch:', patch.get_path())
          
    elif isinstance(event.artist, Text):
        text = event.artist
        print('onpick1 text:', text.get_text())
  
ax2.set_contains(onpick1)
fig.suptitle('matplotlib.axes.Axes.set_contains() function\
Example', fontweight ="bold")
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle
from matplotlib.text import Text
from matplotlib.image import AxesImage
import numpy as np
from numpy.random import rand
  
  
def line_picker(line, mouseevent):
      
    if mouseevent.xdata is None:
        return False, dict()
      
    xdata = line.get_xdata()
    ydata = line.get_ydata()
    maxd = 0.05
    d = np.sqrt(
        (xdata - mouseevent.xdata)**2 + (ydata - mouseevent.ydata)**2)
  
    ind, = np.nonzero(d <= maxd)
      
    if len(ind):
          
        pickx = xdata[ind]
        picky = ydata[ind]
        props = dict(ind = ind, pickx = pickx, picky = picky)
        return True, props
      
    else:
        return False, dict()
  
def onpick2(event):
      
    print('Result :', event.pickx, event.picky)
  
fig, ax = plt.subplots()
ax.plot(rand(100), rand(100), 'o')
  
ax.set_contains(picker = line_picker)
  
fig.canvas.mpl_connect('pick_event', onpick2)
  
fig.suptitle('matplotlib.axes.Axes.set_contains()\
function Example', fontweight ="bold")
  
plt.show()

输出：