Once you have an instance of the Image class, you can use the methods
defined by this class to process and manipulate the image. For
example, let's display the image we just loaded:
>>> im.show()
Update:
Nowadays the Image.show() method is formally documented in the Pillow fork of PIL along with an explanation of how it's implemented on different OSs.
You can display an image in your own window using Tkinter, w/o depending on image viewers installed in your system:
import Tkinter as tk
from PIL import Image, ImageTk # Place this at the end (to avoid any conflicts/errors)
window = tk.Tk()
#window.geometry("500x500") # (optional)
imagefile = {path_to_your_image_file}
img = ImageTk.PhotoImage(Image.open(imagefile))
lbl = tk.Label(window, image = img).pack()
window.mainloop()
For Python 3, replace import Tkinter as tk with import tkinter as tk.
from PIL import Image
import matplotlib.pyplot as plt
im = Image.open('image.jpg')
plt.imshow(im)
plt.show() # image will not be displayed without this
But if you want to put the image together, and do some comparing, then I will suggest you use the matplotlib. Below is an example,
import PIL
import PIL.IcoImagePlugin
import PIL.Image
import matplotlib.pyplot as plt
with PIL.Image.open("favicon.ico") as pil_img:
pil_img: PIL.IcoImagePlugin.IcoImageFile # You can omit. It helps IDE know what the object is, and then it will hint at the method very correctly.
out_img = pil_img.resize((48, 48), PIL.Image.ANTIALIAS)
plt.figure(figsize=(2, 1)) # 2 row and 1 column.
plt.subplots_adjust(hspace=1) # or you can try: plt.tight_layout()
plt.rc(('xtick', 'ytick'), color=(1, 1, 1, 0)) # set xtick, ytick to transparent
plt.subplot(2, 1, 1), plt.imshow(pil_img)
plt.subplot(2, 1, 2), plt.imshow(out_img)
plt.show()