How to show PIL images on the screen?

I am doing some image editing with the PIL libary. The point is, that I don't want to save the image each time on my HDD to view it in Explorer. Is there a small module that simply enables me to set up a window and display the image?

From near the beginning of the PIL Tutorial:

> 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.

I tested this and it works fine for me:

from PIL import Image
im = Image.open('image.jpg')
im.show()

If you find that PIL has problems on some platforms, using a native image viewer may help.

img.save("tmp.png") #Save the image to a PNG file called tmp.png.

For MacOS:

import os
os.system("open tmp.png") #Will open in Preview.

For most GNU/Linux systems with X.Org and a desktop environment:

import os
os.system("xdg-open tmp.png")

For Windows:

import os
os.system("powershell -c tmp.png")

Maybe you can use matplotlib for this, you can also plot normal images with it. If you call show() the image pops up in a window. Take a look at this:

http://matplotlib.org/users/image_tutorial.html

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.

You can use pyplot to show images:

from PIL import Image
import matplotlib.pyplot as plt
im = Image.open('image.jpg')
plt.imshow(im)

Yes, PIL.Image.Image.show() easy and convenient.

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()

This is what worked for me:

roses = list(data_dir.glob('roses/*'))
abc = PIL.Image.open(str(roses[0]))
PIL.Image._show(abc)