Using Pweave from Command Line¶
Weaving Pweave documents¶
Weaving a Pweave source file produces a document that contains text and the weaved code together with its evaluated output. All of the produced figures are placed in the ‘figures/’ folder as a default.
Pweave documents are weaved from the shell with the command:
-
pweave [options] sourcefile
- Options:
--version show program’s version number and exit -h, --help show this help message and exit -f DOCTYPE, --format=DOCTYPE The output format. Available formats: tex, texminted, texpweave, texpygments, rst, pandoc, markdown, leanpub, sphinx, html, md2html, softcover, pandoc2latex, pandoc2html, notebook Use Pweave -l to list descriptions or see http://mpastell.com/pweave/formats.html -i INFORMAT, --input-format=INFORMAT Input format: noweb, markdown, notebook or script -k KERNEL, --kernel=KERNEL Jupyter kernel used to run code: default is python3 -o OUTPUT, --output=OUTPUT Name of the output file -l, --list-formats List output formats -m, --matplotlib Disable matplotlib -d, --documentation-mode Use documentation mode, chunk code and results will be loaded from cache and inline code will be hidden -c, --cache-results Cache results to disk for documentation mode -F FIGDIR, --figure-directory=FIGDIR Directory path for matplolib graphics: Default ‘figures’ --cache-directory=CACHEDIR Directory path for cached results used in documentation mode: Default ‘cache’ -g FIGFORMAT, --figure-format=FIGFORMAT Figure format for matplotlib graphics: Defaults to ‘png’ for rst and Sphinx html documents and ‘pdf’ for tex -t MIMETYPE, --mimetype=MIMETYPE Source document’s text mimetype. This is used to set cell type in Jupyter notebooks
Weave a markdown document. Output format is detected based on extension,
but in can be changed using the `-f
option:
$ pweave FIR_design.pmd
Get options:
$ pweave --help
Caching results¶
Pweave has documentation mode (invoked with -d
) that caches code
and all results from code chunks so you don’t need to rerun the code
when you are only working on documentation. You can cache the results
using the -c option, if there are no cached results then
documentation mode will create the cache on first run. Inline code
chunks will be hidden in documentation mode. Additionally Pweave will
warn you if the code in cached chunks has changed after the last run.
Tangling Pweave Documents¶
Tangling refers to extracting the source code from Pweave document. This can be done using Ptangle script:
$ ptangle file
$ ptangle ma.pnw
Tangled code from ma.pnw to ma.py