Python create image with continous input

I have a code where an image got converted to B/W. Now I want to build a new image in reference to the original image.

The output of the original image are the X-/Y-coordinates and "1" and "0" for Black and White.

The new image will receive these information but not chronologically. Therefore it must check and provide a negative output if it already has received information about a specific coordinate so that double entries can be avoided.

I haven´t found many similar examples to this; only some examples that are going in the about direction.

Does anyone have an idea how to realize that?

UPDATE:

I built the code which converts a pixel from a white image black, if the reference pixel from the original image is black (Otherwise it leaves it white).

Furthermore the used coordinate is entered into a list and checked if used. However, this part is not working properly. Although the coordinate [10, 10] has been used in the loop before, the code displays Coordinate not in the system

Any help would be appreciated!

import cv2
import numpy

white = cv2.imread('white.jpg') #loading white image
white = cv2.resize(white,(640,480)) #adjusting it to the size of the original image


y = 0 #for testing purposes the white image gets blackened manually
x = 0
j = 0

while j < 50:
    content = numpy.zeros((200, 2)) #creating a list with 200 entries, every entry contains 2 values
    content = ([x, y]) #adding two values to the list

    if condition[y, x] = 1: #condition = 1 means that in the reference picture at this coordinate the pixel is black
        white[y,x] = 0 #"0" creates a black pixel at the specified coordinate on the white image
    x += 5
    y += 5
    j += 1

x = 10 #taking a value which already has been used 
y = 10

try:
    b = content.index([x, y]) #check if coordinate is in the list
except ValueError:
    print("Coordinate not in the system")
else:
    print("Coordinate already in the system")


i = 0

while i < 100:

    cv2.imshow('Bild', white) #displays the image
    if cv2. waitKey(1) == ord('q'):
        break