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Code, prompt and output hiding for Jupyter/IPython notebooks.

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Hide_code

PyPI version MIT license

Release: Travis release build Dev: Dev Build Status

New in 0.3.0 Release

HTML & PDF exporting bug fixes. Cell output hiding (thanks to @acspike).

Introduction

hide_code is an extension for Jupyter/IPython notebooks to selectively hide code, prompts and outputs. Make a notebook a code free document for presenting with a single click by pressing hide_code toggle

Normal

image1.1

Hide code enabled

image1.2

Or customize each cell by selecting "Hide code" from the Cell Toolbar dropdown. Then use "Hide Code" and "Hide Prompts" checkboxes to hide the specific cell's code or cell's input/output prompts.

image2

Normal

image3.1

Hide code enabled

image3.2

Exporting

Hide_code adds HTML, PDF via HTML, and PDF via Latex export options to Jupyter. Exporting respects hide_code's code, prompt, and output selections; these must be saved prior to exporting.

Notes

Exporting to PDF via HTML requires wkhtmltopdf! Exporting to PDF via Latex requires a Tex library.

This feature continues to evolve. Items on the road map incude:

  • saving as a different file name.
  • support for custom CSS.
  • single click exporting with all code and prompts hidden (similar to how the toolbar button).

Via notebook

To export via HTML or PDF simply click on the respective button. image4.1

Via nbconvert command line

To export via nbconvert command line, nbconvert 4.2 or later is required. Hide_code adds three export options to nbconvert, hide_code_html, hide_code_pdf, and hide_code_latexpdf.

Note: PDF exporting via command line uses nbconvert's built in PDF exporter.

jupyter nbconvert --to hide_code_html notebook_to_convert.ipynb

jupyter nbconvert --to hide_code_pdf notebook_to_convert.ipynb

`jupyter nbconvert --to hide_code_latexpdf notebook_to_convert.ipynb'

Installation

Via pip

pip install hide_code

Via setuptools

  1. Download and unzip this repository.
  2. Change to unzipped directory.
  3. Execute python setup.py install

Installation Troubleshooting

If installation complains the directory doesn't exist, you're Jupyter/IPython installation probably isn't in one of the usual places. Locate Jupyter's configuration directory, then use code below to install in a non-standard directory.

import hide_code.hide_code as hc
dir = "<full path to Jupyter config directory>"
hc.install(dir)

Requirements

  • Jupyter notebook 4.x+
  • Jupyter nbconvert 4.2+ if using nbconvert command line exporting
  • pdfkit & wkhtmltopdf
  • Python 2.7 or 3.3+

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Code, prompt and output hiding for Jupyter/IPython notebooks.

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