📌  相关文章
📜  Python中的 Matplotlib.axes.Axes.get_images()

📅  最后修改于: 2022-05-13 01:54:23.505000             🧑  作者: Mango

Python中的 Matplotlib.axes.Axes.get_images()

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.get_images()函数

matplotlib 库的 axes 模块中的Axes.get_images()函数用于返回 Axes 包含的 Axes 图像列表

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

示例 1:

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.cbook as cbook
   
      
# image used is 
# https://media.geeksforgeeks.org/
# wp-content/uploads/20200402214740/geek.jpg
with cbook.get_sample_data('geek.jpg') as image_file:
    image = plt.imread(image_file)
  
fig, ax = plt.subplots()
im = ax.imshow(image)
  
patch = patches.Rectangle((0, 0), 260, 200,
                          transform = ax.transData)
im.set_clip_path(patch)
  
print("List of the child Artists of this Artist \n",
      *list(ax.get_images()), sep ="\n")
  
fig.suptitle('matplotlib.axes.Axes.get_images() \
function Example', fontweight ="bold")
  
plt.show()

输出:

List of the Axes images contained by the Axes

AxesImage(80, 52.8;496x369.6)

示例 2:

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LogNorm
      
dx, dy = 0.015, 0.05
x = np.arange(-4.0, 4.0, dx)
y = np.arange(-4.0, 4.0, dy)
X, Y = np.meshgrid(x, y)
   
extent = np.min(x), np.max(x), np.min(y), np.max(y)
    
fig, ax = plt.subplots()
   
Z1 = np.add.outer(range(8), range(8)) % 2
ax.imshow(Z1, cmap ="binary_r",
          interpolation ='nearest',
          extent = extent, alpha = 1)
   
def geeks(x, y):
    return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2))
   
Z2 = geeks(X, Y)
   
ax.imshow(Z2, cmap ="Greens", alpha = 0.7,
          interpolation ='bilinear',
          extent = extent)
  
print("List of the Axes images contained by the Axes \n",
      *list(ax.get_images()), sep ="\n")
  
fig.suptitle('matplotlib.axes.Axes.get_images() function\
 Example', fontweight ="bold")
plt.show()

输出:

List of the Axes images contained by the Axes 

AxesImage(80, 52.8;496x369.6)
AxesImage(80, 52.8;496x369.6)