Python calls Matplotlib to plot distribution points and add labels.

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Purpose of adding labels
coding
screenshot (computing)

goal

The above article describes the plotting of distribution points based on the size of the image as coordinates. My boss gave me another task, I plotted it, saved the graph each time, and sent it to her, but the coordinates of the points in the image were not displayable, so she asked me to add a label to each point, and the label was the horizontal and vertical coordinates of that point.

coding

import  as plt
from  import rand
import numpy
import os
import cv2

#setting plt
(xmax=100,xmin=0)
(ymax=100,ymin=0)
("height")
("width")


path_1 = r'D:\zhangjichao\view\V7_scale_2\path_1'


x = []
y = []
files = (path_1)
for f in files:
  img = (path_1 + '\\' + f)
  ([0])
  ([1])
(x,y,'ro',color='red',label='path_1')

path_2 = r'D:\zhangjichao\view\V7_scale_2\path_2'

x = []
y = []
files = (path_2)
for f in files:
  img = (path_2 + '\\' + f)
  ([0])
  ([1])
(x,y,'ro',color='red',label='path_2')

path_3 = r'D:\zhangjichao\view\V7_scale_2\path_3'


x = []
y = []
files = (path_3)
for f in files:
  img = (path_3 + '\\' + f)
  ([0])
  ([1])
(x,y,'ro',color='red',label='path_3')

path_4 = r'D:\zhangjichao\view\V7_scale_2\path_4'

x = []
y = []
files = (path_4)
for f in files:
  img = (path_4 + '\\' + f)
  ([0])
  ([1])
(x,y,'ro',color='red',label='path_4')

yujing = r'D:\zhangjichao\view\V7_scale_2\xujing_org_scale_2'

x = []
y = []
files = (yujing)
for f in files:
  img = (yujing + '\\' + f)
  ([0])
  ([1])
(x,y,'ro',color='green' , label='xujing')
for i in range(1,len(x)):
  (x[i],y[i],str((x[i],y[i])), family='serif', style='italic', ha='right', wrap=True)

(loc='upper center', shadow=True, fontsize='x-large')
(True)


()

screenshot (computing)

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