Matplotlib.axes.axes.contains_point()

Matplotlib是Python中的一个库，它是NumPy库的数值-数学扩展。Axes包含了大多数图形元素:Axis、Tick、Line2D、Text、Polygon等，并设置坐标系。Axes的实例通过callbacks属性支持回调。

函数:matplotlib.axes.axes.contains_point

matplotlib库的Axes模块中的Axes.contains_point()函数用于返回point(一对像素坐标)是否在Axes补丁内。

语法:Axes.contains_point(self, point)

参数:此方法只接受一个参数。

point:这个参数是像素坐标对。

Returns:该方法返回布尔值。

下面的例子演示了matplotlib.axes.axes.contains_point()函数在matplotlib.axes中的作用:

示例1

# Implementation of matplotlib function
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
from matplotlib.path import Path
from matplotlib.patches import PathPatch
  
  
delta = 0.025
x = y = np.arange(-3.0, 3.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = (Z1 - Z2) * 2
  
path = Path([[0, 1], [1, 0], [0, -1], 
             [-1, 0], [0, 1]])
patch = PathPatch(path, facecolor ='none')
  
fig, ax = plt.subplots()
ax.add_patch(patch)
  
im = ax.imshow(Z,
               interpolation ='bilinear',
               cmap = cm.gray,
               origin ='lower', 
               extent =[-3, 3, -3, 3],
               clip_path = patch, 
               clip_on = True)
  
im.set_clip_path(patch)
  
ax.text(-1.2, 2,
        "Value Return : "+ str(path.contains_point([0, 0])),
        fontweight ="bold", 
        fontsize = 10)
  
fig.suptitle('matplotlib.axes.Axes.contains_point() \
function Example', fontweight ="bold")
  
plt.show()

输出:

Matplotlib.axes.axes.contains_point()

示例2

# Implementation of matplotlib function
import matplotlib.pyplot as plt
from matplotlib.path import Path
import matplotlib.patches as patches
  
  
verts = [(0., 0.), (0., 1.), 
         (1., 1.), (1., 0.), 
         (0., 0.)]
  
codes = [Path.MOVETO, Path.LINETO,
         Path.LINETO, Path.LINETO, Path.CLOSEPOLY]
  
path = Path(verts, codes)
  
fig, ax = plt.subplots()
patch = patches.PathPatch(path, facecolor ='green', lw = 2)
ax.add_patch(patch)
ax.set_xlim(-0.5, 2)
ax.set_ylim(-0.5, 2)
  
ax.text(0, 1.2, 
        "Value Return : "+ str(path.contains_point([5, 5])), 
        fontweight ="bold",
        fontsize = 10)
  
fig.suptitle('matplotlib.axes.Axes.contains_point()\
function Example', fontweight ="bold")
  
plt.show()