Using Matplotlib to add an external image at the canvas level

import matplotlib.pyplot as plt 
from matplotlib.cbook import get_sample_data
from matplotlib.patches import Rectangle


imageArray=plt.imread('D:/ personal /1.jpg')

fig,ax=plt.subplots(1,1)
ai=ax.imshow(imageArray)
patch=Rectangle((1,0),200,3600)# Provide a graphic to crop the picture 
ai.set_clip_path(patch)# Use the graphics provided above to crop the picture 

ax.set_axis_off()# Eliminate the coordinate axis on the canvas 

plt.show()

 

fig=plt.figure()

imageData1=plt.imread(r'D:\ personal \1.jpg') Read images 

'''figimage Add an image to the canvas , And set the status of the image on the canvas 
   imageData1： Select to display to numpy An image file stored in the form of an array 
    origin： Set the starting point of the coordinate axis （0,0） Set in the upper left corner of the coordinate axis 
    alpha： Set transparency 
     resize： Whether to make the image size fit the canvas size 
     zorder： Prevent hierarchy of image file on canvas , The greater the numerical , Getting ahead '''
fig.figimage(imageData1,200,100,origin='upper',alpha=0.5,resize=True,zorder=1)

fig.savefig(r'D:\ personal \fig.svg')# Save image 

  Open the saved file according to the saved path to see the effect