Socket
Socket
Sign inDemoInstall

jupyter-docx-bundler

Package Overview
Dependencies
21
Maintainers
1
Alerts
File Explorer

Install Socket

Detect and block malicious and high-risk dependencies

Install

    jupyter-docx-bundler

Jupyter bundler extension to export notebook as a docx file


Maintainers
1

Readme

Jupyter docx bundler extension

PyPi Version Conda Version Conda Version CI codecov

Jupyter bundler extension to export notebook as a docx file

Installation

Using conda

conda install -c conda-forge jupyter-docx-bundler

Using pip

Make sure you have Pandoc installed, see installing-pandoc for instructions.

pip install jupyter-docx-bundler

Usage

Adding Metadata

The bundle extension uses metadata of the notebook, if you you provide it.

  • "title": "Notebook title"
  • "authors": [{"name": "author1"}, {"name": "author2"}]
  • "subtitle": "Notebook subtitle"
  • "date": "Notebook date"

The notebook metadata can be edited under Edit -> Edit Notebook Metadata.

Hiding inputs or complete code cells

You can hide individual code cells or just their inputs by defining cell tags:

  • nbconvert-remove-cell: Remove the entire cell
  • nbconvert-remove-input: Remove the input code of the cell

(Currently there are no default values configured for these tags, the ones listed above are defined in my code and not in nbconvert. This may will change in the future.)

Cell tags can be shown by activating the cell toolbar under View -> Cell Toolbar -> Tags.

Hiding all inputs

It is also possible to hide all inputs. To achive this you need to add the following lines to your notebook metadata:

{
    "jupyter-docx-bundler": {
        "exclude_input": "True"
    }
}

The notebook metadata can be edited under Edit -> Edit Notebook Metadata.

Direct call from console (nbconvert)

To use the bundler direct from console the nbconvert utility can be used with target format docx:

  • jupyter nbconvert --execute --to=docx <source notebook>.ipynb --output <target document>.docx

The --execute option should be used to ensure that the notebook is run before generation.

Development

See CONTRIBUTING

FAQs


Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc