Metadata-Version: 2.1
Name: sunder
Version: 0.0.1
Summary: Extract code, markdown, and yaml files from R markdown.
Home-page: https://github.com/marskar/sunder
Author: Martin Skarzynski
Author-email: marskar@gmail.com
License: MIT license
Keywords: sunder
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: Click (>=6.0)

Sunder
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Extract YAML, code, and markdown files from an R markdown (Rmd) file.

[![image](https://img.shields.io/pypi/v/sunder.svg)](https://pypi.python.org/pypi/sunder) [![image](https://img.shields.io/travis/marskar/sunder.svg)](https://travis-ci.org/marskar/sunder) [![Documentation Status](https://readthedocs.org/projects/sunder/badge/?version=latest)](https://sunder.readthedocs.io/en/latest/?badge=latest) [![Updates](https://pyup.io/repos/github/marskar/sunder/shield.svg)](https://pyup.io/repos/github/marskar/sunder/)

The `sunder` Python package consists of 2 shell commands and functions:
- `sunder`, which extracts 1) a YAML file, 2) Python or R scripts and 3) [Markdown](https://www.markdownguide.org/) (md) files from Rmd files. `sunder` can either output one R script per code chunk or a single R script per Rmd file (similar to `knitr::purl`). Similarly, Markdown content can be combined into a single file or output as separate files.
Python package.
- `catrmd`, which con**cat**enates input files to output an [R Markdown](https://rmarkdown.rstudio.com/authoring_quick_tour.html) (Rmd) file.

Write reports in R markdown format and use sunder to extract code from R markdown code chunks.



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History
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0.0.1 (2018-12-11)
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* First release on PyPI.


