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
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import matplotlib.pyplot as pltfrom numpy.random import randimport numpyimport osimport cv2#setting pltplt.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() |
截图
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/u013139259/article/details/52141863
