nbimageviewer is a Python library for rapid and efficient image visualization for Jupyter Notebooks.
nbimageviewer is a Python library for aesthetic and efficient image visualization in Jupyter Notebooks. It uses IPython, ReactJS, and WebSockets to efficiently visualize large amounts of images.
Visualizing large amounts of images in a Jupyter Notebook is usually done by creating matplotlib plots, which can be a painful and inefficient process with lots of configuring and searching online.
import matplotlib.pyplot as plt import load_images images = load_images() fig, ax = plt.subplots() for i, image in enumerate(len(images)): ax[i] = plt.imshow(image) ...
nbimageviewer simplifies this process while providing convenient and beautiful visualizations.
import nbimageviewer.carousel as carousel import load_images images = load_images() c = carousel.Carousel(images)
nbimageviewer from PyPI:
pip install nbimageviewer
nbimageviewer from source:
git clone email@example.com:briankosw/nbimageviewer.git cd nbimageviewer pip install .
nbimageviewer currently supports two ways of visualizing images:
Distributed under the MIT License. See LICENSE.txt for more information.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size nbimageviewer-0.1.0.tar.gz (5.8 kB)||File type Source||Python version None||Upload date||Hashes View|