/ipynbcompress-plus

[Modified for IPython>=4.0] Compress images in your ipython notebooks

Primary LanguageJupyter NotebookMIT LicenseMIT

ipynbcompress

build-status-image pypi-version wheel

Overview

So you have included an image with IPython.display.Image() and the file size of your IPython Notebook got huge? No problem! This package will resize images in your notebook and compress them as PNG or JPEG. Images are only resized if they are above the specified width. 2048px and PNG compression is the default, which should give relative high quality images and normal sized notebooks. JPEG compression is nice if you serve the notebooks over the web (eg nbviewer) and prefer fast loading times.

Installation

Install using pip...

pip install ipynbcompress

Example

From command line:

$ ipynb-compress notebook4.ipynb
notebook4.ipynb: 10 megabytes decrease
$ find . -name "*ipynb" -size +2M -exec ipynb-compress {} \;
./lab 03.21/automated scan.ipynb: warning: no compression - 0 bytes gained
./lab 03.21/automated scan.ipynb: compression less than 100k bytes - keeping original
./lab 03.21/trouble.ipynb: 9 megabytes decrease
...

In python:

>>> import os
>>> from ipynbcompress import compress
>>> filename = '/path/to/notebook.ipynb'
>>> out = '/path/to/compressed.ipynb'
>>> # original size
... os.stat(filename).st_size
11563736
>>> # return bytes saved
... compress(filename, output_filename=out, img_width=800, img_format='jpeg')
11451545
>>> compress(filename, output_filename=out, img_width=800, img_format='png')
11205762
>>> # defaults to img_width = 2048px and png compression
... compress(filename, output_filename=out)
11411377
>>> # overwrite existing notebook
... compress(filename)
11411377

API reference

API reference is at http://ipynbcompress.rtfd.org.

Development

Install dependencies and link development version of ipynbcompress to pip:

git clone https://github.com/arve0/ipynbcompress
cd ipynbcompress
pip install -r requirements.txt # install dependencies and ipynbcompress-package

Testing

tox

Build documentation locally

To build the documentation:

pip install -r docs/requirements.txt
make docs