python调用Matplotlib绘制分布点并且添加标签-6ren

python调用Matplotlib绘制分布点并且添加标签

转载作者：qq735679552 更新时间：2022-09-27 22:32:09

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本文实例为大家分享了Python调用Matplotlib绘制分布点添加标签的具体代码，供大家参考，具体内容如下。

添加标签的目的
代码
截图

目的。

上文介绍了根据图像的大小作为坐标来绘制分布点图。老大又给了我一个任务，我绘制完，每次将图保存，发给她，但是图片中的点的坐标是不能显示了，所以她让我给每个点添加个label，而且label是该点的横纵坐标.

代码。

 
    ? 
   
         import 
         matplotlib.pyplot as plt 
        
         from 
         numpy.random  
         import 
         rand 
        
         import 
         numpy 
        
         import 
         os 
        
         import 
         cv2 
        
         #setting plt 
        
         plt.xlim(xmax 
         = 
         100 
         ,xmin 
         = 
         0 
         ) 
        
         plt.ylim(ymax 
         = 
         100 
         ,ymin 
         = 
         0 
         ) 
        
         plt.xlabel( 
         "height" 
         ) 
        
         plt.ylabel( 
         "width" 
         ) 
        
         path_1  
         = 
         r 
         'D:\zhangjichao\view\V7_scale_2\path_1' 
        
         x  
         = 
         [] 
        
         y  
         = 
         [] 
        
         files  
         = 
         os.listdir(path_1) 
        
         for 
         f  
         in 
         files: 
        
         img  
         = 
         cv2.imread(path_1  
         + 
         '\\' 
         + 
         f) 
        
         x.append(img.shape[ 
         0 
         ]) 
        
         y.append(img.shape[ 
         1 
         ]) 
        
         plt.plot(x,y, 
         'ro' 
         ,color 
         = 
         'red' 
         ,label 
         = 
         'path_1' 
         ) 
        
         path_2  
         = 
         r 
         'D:\zhangjichao\view\V7_scale_2\path_2' 
        
         x  
         = 
         [] 
        
         y  
         = 
         [] 
        
         files  
         = 
         os.listdir(path_2) 
        
         for 
         f  
         in 
         files: 
        
         img  
         = 
         cv2.imread(path_2  
         + 
         '\\' 
         + 
         f) 
        
         x.append(img.shape[ 
         0 
         ]) 
        
         y.append(img.shape[ 
         1 
         ]) 
        
         plt.plot(x,y, 
         'ro' 
         ,color 
         = 
         'red' 
         ,label 
         = 
         'path_2' 
         ) 
        
         path_3  
         = 
         r 
         'D:\zhangjichao\view\V7_scale_2\path_3' 
        
         x  
         = 
         [] 
        
         y  
         = 
         [] 
        
         files  
         = 
         os.listdir(path_3) 
        
         for 
         f  
         in 
         files: 
        
         img  
         = 
         cv2.imread(path_3  
         + 
         '\\' 
         + 
         f) 
        
         x.append(img.shape[ 
         0 
         ]) 
        
         y.append(img.shape[ 
         1 
         ]) 
        
         plt.plot(x,y, 
         'ro' 
         ,color 
         = 
         'red' 
         ,label 
         = 
         'path_3' 
         ) 
        
         path_4  
         = 
         r 
         'D:\zhangjichao\view\V7_scale_2\path_4' 
        
         x  
         = 
         [] 
        
         y  
         = 
         [] 
        
         files  
         = 
         os.listdir(path_4) 
        
         for 
         f  
         in 
         files: 
        
         img  
         = 
         cv2.imread(path_4  
         + 
         '\\' 
         + 
         f) 
        
         x.append(img.shape[ 
         0 
         ]) 
        
         y.append(img.shape[ 
         1 
         ]) 
        
         plt.plot(x,y, 
         'ro' 
         ,color 
         = 
         'red' 
         ,label 
         = 
         'path_4' 
         ) 
        
         yujing  
         = 
         r 
         'D:\zhangjichao\view\V7_scale_2\xujing_org_scale_2' 
        
         x  
         = 
         [] 
        
         y  
         = 
         [] 
        
         files  
         = 
         os.listdir(yujing) 
        
         for 
         f  
         in 
         files: 
        
         img  
         = 
         cv2.imread(yujing  
         + 
         '\\' 
         + 
         f) 
        
         x.append(img.shape[ 
         0 
         ]) 
        
         y.append(img.shape[ 
         1 
         ]) 
        
         plt.plot(x,y, 
         'ro' 
         ,color 
         = 
         'green' 
         , label 
         = 
         'xujing' 
         ) 
        
         for 
         i  
         in 
         range 
         ( 
         1 
         , 
         len 
         (x)): 
        
         plt.text(x[i],y[i], 
         str 
         ((x[i],y[i])), family 
         = 
         'serif' 
         , style 
         = 
         'italic' 
         , ha 
         = 
         'right' 
         , wrap 
         = 
         True 
         ) 
        
         plt.legend(loc 
         = 
         'upper center' 
         , shadow 
         = 
         True 
         , fontsize 
         = 
         'x-large' 
         ) 
        
         plt.grid( 
         True 
         ) 
        
         plt.show()