Weave.jl/doc/src/index.md

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Intro

This is the documentation of Weave.jl. Weave is a scientific report generator/literate programming tool for Julia. It resembles Pweave and, Knitr and Sweave.

You can write your documentation and code in input document using Nowed or Markdown syntax and use weave function to execute to document to capture results and figures.

Current features

  • Noweb or markdown syntax for input documents.

  • Execute code as terminal or "script" chunks.

  • Capture PyPlot or Gadfly figures.

  • Supports LaTex, Pandoc and Github markdown and reStructuredText output

    {contents}

Document syntax

Weave uses noweb or markdown syntax for defining the code chunks and documentation chunks.

Noweb

Code chunks

start with a line marked with <<>>= or <<options>>= and end with line marked with @. The code between the start and end markers is executed and the output is captured to the output document. See for options below.

Documentation chunks

Are the rest of the document (between @ and <<>>= lines and the first chunk be default) and can be written with several different markup languages.

Sample document

Markdown

Markdown code chunks are defined using fenced code blocks. See sample document:

Chunk options

I've tried to follow Knitr's naming for chunk options, but not all options are implemented.

Options are separated using ";" and need to be valid Julia expressions. Example: A code chunk that saves and displays a 12 cm wide image and hides the source code:

<<fig_width=5; echo=false >>=
using Gadfly
x = linspace(0, 2π, 200)
plot(x=x, y = sin(x), Geom.line)
@

Weave currently supports the following chunk options with the following defaults:

Options for code

  • echo = true. Echo the code in the output document. If false the source code will be hidden.
  • results = "markup". The output format of the printed results. "markup" for literal block, "hidden" for hidden results or anything else for raw output (I tend to use tex for Latex and rst for rest. Raw output is useful if you want to e.g. create tables from code chunks.
  • eval = true. Evaluate the code chunk. If false the chunk wont be executed.
  • term=false. If true the output emulates a REPL session. Otherwise only stdout and figures will be included in output.
  • label. Chunk label, will be used for figure labels in Latex as fig:label
  • wrap = true. Wrap long lines from output.
  • line_width = 75. Line width for wrapped lines.
  • cache = false. Cache results, depends on cache parameter on weave function.

Options for figures

  • fig_width. Figure width defined in markup, default depends on the output format.
  • out_width. Width of saved figure.
  • out_height. Height of saved figure.
  • dpi=96. Resolution of saved figures.
  • fig_cap. Figure caption.
  • label. Chunk label, will be used for figure labels in Latex as fig:label
  • fig_ext. File extension (format) of saved figures.
  • fig_pos="htpb". Figure position in Latex.
  • fig_env="figure". Figure environment in Latex.

Usage

Weave

Run from julia using Gadfly for plots:

using Weave
weave(Pkg.dir("Weave","examples","gadfly_sample.mdw"))

Using PyPlot:

weave(Pkg.dir("Weave","examples","julia_sample.mdw"), plotlib="PyPlot")
{docs}
  weave(source)

Tangle

Tangling extracts the code from document:

{docs}
  tangle(source)

Supported formats

You can get a list of supported output formats:

julia> list_out_formats()
pandoc: Pandoc markdown
rst: reStructuredText and Sphinx
texminted: Latex using minted for highlighting
github: Github markdown
asciidoc: AsciiDoc
tex: Latex with custom code environments

Index

{index}