Skip to main content

A pandoc filter for automatic numbering

Project description

pandoc-numbering

Python package Coveralls Scrutinizer PyPI version PyPI format License Repo Size Python version Downloads Source Rank Development Status Docs Code style: black

license icon by Daniel Bruce, format icon by Picol, status icon by Just Icon, code style icon by Google Material Design icons

pandoc-numbering is a pandoc filter for numbering all kinds of things.

Documentation

See the Read the docs pages.

Usage

To apply the filter, use the following option with pandoc:

--filter pandoc-numbering

Installation

pandoc-numbering requires python, a programming language that comes pre-installed on linux and Mac OS X, and which is easily installed on Windows. Either python 2.7 or 3.x will do.

Install pandoc-numbering as root using the bash command

pip install pandoc-numbering

To upgrade to the most recent release, use

pip install --upgrade pandoc-numbering

To upgrade to the current code, use

pip install --upgrade --force --no-cache git+https://github.com/chdemko/pandoc-numbering

pip is a script that downloads and installs modules from the Python Package Index, PyPI. It should come installed with your python distribution. If you are running linux, pip may be bundled separately. On a Debian-based system (including Ubuntu), you can install it as root using

apt-get update
apt-get install python-pip

Make sure you have the

  • tocloft

LaTeX package. On linux you have to install some extra libraries before pandoc-numbering. On a Debian-based system (including Ubuntu), you can install it as root using

apt-get install texlive-latex-extra

Getting Help

If you have any difficulties with pandoc-numbering, please feel welcome to file an issue on github so that we can help.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pandoc-numbering-3.4.0.0.tar.gz (17.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pandoc_numbering-3.4.0.0-py2.py3-none-any.whl (15.7 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pandoc-numbering-3.4.0.0.tar.gz.

File metadata

  • Download URL: pandoc-numbering-3.4.0.0.tar.gz
  • Upload date:
  • Size: 17.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.1

File hashes

Hashes for pandoc-numbering-3.4.0.0.tar.gz
Algorithm Hash digest
SHA256 857b1a2dd651e946756ec90aa2ae52fb247dcda98765760873fcc0e3ada849cd
MD5 27eb6b1611a0ca6914b8f62dff0cf574
BLAKE2b-256 2fbf57f3d9c4745496c6099b84b3538c2c344ba1df3c019dccdc6a9fcbd50e3a

See more details on using hashes here.

File details

Details for the file pandoc_numbering-3.4.0.0-py2.py3-none-any.whl.

File metadata

  • Download URL: pandoc_numbering-3.4.0.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 15.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.1

File hashes

Hashes for pandoc_numbering-3.4.0.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3af271bf750a27e5fdc9ed47756f0436bb54ab937d5d564f4cf9f1d8c1160d47
MD5 81783fb9a1ded850e6365fdc6919a5b2
BLAKE2b-256 293743e62a252b2e585a05a7af9fa20d71c92f469856f9b8cf32c6ea647c6f64

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page