How to show PIL Image in ipython notebook

If you are using the pylab extension, you could convert the image to a numpy array and use matplotlib’s imshow.

%pylab # only if not started with the --pylab option
imshow(array(pil_im))

EDIT:
As mentioned in the comments, the pylab module is deprecated, so use the matplotlib magic instead and import the function explicitly:

%matplotlib
from matplotlib.pyplot import imshow 
imshow(array(pil_im))

I found that this is working

# source: http://nbviewer.ipython.org/gist/deeplook/5162445
from io import BytesIO

from IPython import display
from PIL import Image


def display_pil_image(im):
   """Displayhook function for PIL Images, rendered as PNG."""

   b = BytesIO()
   im.save(b, format='png')
   data = b.getvalue()

   ip_img = display.Image(data=data, format='png', embed=True)
   return ip_img._repr_png_()


# register display func with PNG formatter:
png_formatter = get_ipython().display_formatter.formatters['image/png']
dpi = png_formatter.for_type(Image.Image, display_pil_image)

After this I can just do:

pil_im

But this must be last line in cell, with no print after it

case python3

from PIL import Image
from IPython.display import HTML
from io import BytesIO
from base64 import b64encode

pil_im = Image.open('data/empire.jpg')
b = BytesIO()  
pil_im.save(b, format='png')
HTML("<img src='data:image/png;base64,{0}'/>".format(b64encode(b.getvalue()).decode('utf-8')))

Based on other answers and my tries, best experience would be first installing, pillow and scipy, then using the following starting code on your jupyter notebook:

%matplotlib inline
from matplotlib.pyplot import imshow
from scipy.misc import imread

imshow(imread('image.jpg', 1))

Use IPython display to render PIL images in a notebook.

from PIL import Image               # to load images
from IPython.display import display # to display images

pil_im = Image.open('path/to/image.jpg')
display(pil_im)

You can open an image using the Image class from the package PIL and display it with plt.imshow directly.

# First import libraries.
from PIL import Image
import matplotlib.pyplot as plt

# The folliwing line is useful in Jupyter notebook
%matplotlib inline

# Open your file image using the path
img = Image.open(<path_to_image>)

# Since plt knows how to handle instance of the Image class, just input your loaded image to imshow method
plt.imshow(img)

A cleaner Python3 version that use standard numpy, matplotlib and PIL. Merging the answer for opening from URL.

import matplotlib.pyplot as plt
from PIL import Image
import numpy as np

pil_im = Image.open('image.jpg')
## Uncomment to open from URL
#import requests
#r = requests.get('https://www.vegvesen.no/public/webkamera/kamera?id=131206')
#pil_im = Image.open(BytesIO(r.content))
im_array = np.asarray(pil_im)
plt.imshow(im_array)
plt.show()

much simpler in jupyter using pillow.

from PIL import Image
image0=Image.open('image.png')
image0

I suggest following installation by no image show img.show()
(from PIL import Image)

$ sudo apt-get install imagemagick

Just use

from IPython.display import Image 
Image('image.png')

In order to simply visualize the image in a notebook you can use display()

%matplotlib inline
from PIL import Image

im = Image.open(im_path)
display(im)