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

Diverse methods to display images

Inline visualization with IPython

For local files, Image from IPython.display is handy. Ensure the file path and image format are supported.

from IPython.display import Image, display

# Single image display
display(Image(filename='your_image.png'))

# Multiple image display using loop
for image_path in ['image1.png', 'image2.jpg', 'image3.gif']:
    display(Image(filename=image_path)) # party time 🎉


Display images using Markdown cells

Markdown cells support quick and easy embedding of images, specifically PNG and JPG. Ideal for showing off vacation pics to your colleagues directly in your notebook. 😉

![Optional description](path/to/image.png)

Remember that Markdown does not require any extra libraries, ensuring your codebase is as clean as your nicely embedded images.

Show animated GIFs in Jupyter Notebook

GIFs and Jupyter Notebook, best friends forever! To display GIFs, use the Markdown method:

![Some Fun GIF](path/to/animation.gif)

Okay, it's not the most professional use, but who doesn't love a good meme in their data analysis?

Image manipulation using Pillow

Pillow, a modern fork of PIL, allows you to open and modify images. Show the final image using the Image instantiation.

from PIL import Image
from IPython.display import display

# Open an image file
img = Image.open('your_image.png')
# Display the opened image file
display(img)


You can install Pillow using conda install pillow or pip install pillow.

Efficient image display with IPyPlot

When it comes to loading multiple images, especially in ML tasks, IPyPlot is as effective as a coffee-fueled all-nighter.

import ipyplot

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

Make sure to keep the IPyPlot party playlist (the file paths) and format compatibility checked!

Display genome diagrams in Jupyter

Genome diagrams, created, for instance, by GenomeDiagram, can be beautifully integrated using ReportLab for display:

from Bio.Graphics import GenomeDiagram
from IPython.display import SVG

gdd = GenomeDiagram.Diagram('Test Diagram')
gdd.write('my_genome_diagram.svg', 'SVG')
display(SVG(filename='my_genome_diagram.svg'))


Common issues and their solutions

Checking file path and extension

Incorrect file path or extension is a common mishap. Always check if the path is valid and an existing image file.

# Double-check for file 
import os
if not os.path.exists('your_image.png'):
    print("Houston, we have a problem! Image file not found!")


Look out for reliable solutions

Go with trusted methods with strong upvotes. IPython library is a reliable friend across multiple environments, just like a loyal golden retriever!

Adjusting as per environment

Visual outputs can vary with the environment. Local Jupyter Notebooks and cloud-based environments may give varying results. Test your visuals, just like your new sunglasses. 😎