How to show PIL Image in ipython notebook
PythonIpythonPython Imaging-LibraryIpython NotebookPython Problem Overview
This is my code
from PIL import Image
pil_im = Image.open('data/empire.jpg')
I would like to do some image manipulation on it, and then show it on screen.
I am having problem with showing PIL Image in python notebook.
I have tried:
print pil_im
And just
pil_im
But both just give me:
<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=569x800 at 0x10ECA0710>
Python Solutions
Solution 1 - Python
Updated 2021/11/17
When using PIL/Pillow, Jupyter Notebooks now have a display built-in that will show the image directly, with no extra fuss.
display(pil_im)
Jupyter will also show the image if it is simply the last line in a cell (this has changed since the original post). Thanks to answers from @Dean and @Prabhat for pointing this out.
Other Methods
From File
You can also use IPython's display module to load the image. You can read more from the doc.
from IPython.display import Image
pil_img = Image(filename='data/empire.jpg')
display(pil_img)
From PIL.Image Object
As OP's requirement is to use PIL, if you want to show inline image, you can use matplotlib.pyplot.imshow with numpy.asarray like this too:
from matplotlib.pyplot import imshow
import numpy as np
from PIL import Image
%matplotlib inline
pil_im = Image.open('data/empire.jpg', 'r')
imshow(np.asarray(pil_im))
If you only require a preview rather than an inline, you may just use show like this:
pil_im = Image.open('data/empire.jpg', 'r')
pil_im.show()
Solution 2 - Python
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)
Solution 3 - Python
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
Solution 4 - Python
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')))
Solution 5 - Python
much simpler in jupyter using pillow.
from PIL import Image
image0=Image.open('image.png')
image0
Solution 6 - Python
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)
Solution 7 - Python
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)
Solution 8 - Python
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))
Solution 9 - Python
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))
Solution 10 - Python
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()
Solution 11 - Python
Just use
from IPython.display import Image
Image('image.png')
Solution 12 - Python
I suggest following installation by no image show img.show() (from PIL import Image)
$ sudo apt-get install imagemagick