How can I display an image from a file in Jupyter Notebook?

Question

Courtesy of this post, you can do the following:

from IPython.display import Image
Image(filename='test.png') 

(official docs)

If you are trying to display an Image in this way inside a loop, then you need to wrap the Image constructor in a display method.

from IPython.display import Image, display

listOfImageNames = ['/path/to/images/1.png',
                    '/path/to/images/2.png']

for imageName in listOfImageNames:
    display(Image(filename=imageName))

Note, until now posted solutions only work for png and jpg!

If you want it even easier without importing further libraries or you want to display an animated or not animated GIF File in your Ipython Notebook. Transform the line where you want to display it to markdown and use this nice short hack!

![alt text](test.gif "Title")

This will import and display a .jpg image in Jupyter (tested with Python 2.7 in Anaconda environment)

from IPython.display import display
from PIL import Image


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

You may need to install PIL

in Anaconda this is done by typing

conda install pillow

If you want to efficiently display big number of images I recommend using IPyPlot package

import ipyplot

ipyplot.plot_images(images_array, max_images=20, img_width=150)

There are some other useful functions in that package where you can display images in interactive tabs (separate tab for each label/class) which is very helpful for all the ML classification tasks.

You could use in html code in markdown section: example:

 <img src="https://www.tensorflow.org/images/colab_logo_32px.png" />

Courtesy of this page, I found this worked when the suggestions above didn't:

import PIL.Image
from cStringIO import StringIO
import IPython.display
import numpy as np
def showarray(a, fmt='png'):
    a = np.uint8(a)
    f = StringIO()
    PIL.Image.fromarray(a).save(f, fmt)
    IPython.display.display(IPython.display.Image(data=f.getvalue()))