I'm trying to create an image in tkinter but I want to use the image data instead of passing in a file. How do I do that? Here's how I'm creating an image.
from tkinter import *
root = Tk()
global myimage
myimage = PhotoImage(data="IMAGE DATA HERE")
mytext = Text(root, width=100, height=50, )
mytext.pack()
mytext.image_create(END, image=myimage)
root.mainloop()
When using this method i get an error saying that could not recognize image data
Quick note I used a python script to convert the image into bytes.
here is the data:
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