eng_python: A reticulate Engine for Knitr

View source: R/knitr-engine.R

eng_pythonR Documentation

A reticulate Engine for Knitr

Description

This provides a reticulate engine for knitr, suitable for usage when attempting to render Python chunks. Using this engine allows for shared state between Python chunks in a document – that is, variables defined by one Python chunk can be used by later Python chunks.

Usage

eng_python(options)

Arguments

options

Chunk options, as provided by knitr during chunk execution.

Details

The engine can be activated by setting (for example)

knitr::knit_engines$set(python = reticulate::eng_python)

Typically, this will be set within a document's setup chunk, or by the environment requesting that Python chunks be processed by this engine. Note that knitr (since version 1.18) will use the reticulate engine by default when executing Python chunks within an R Markdown document.

Supported knitr chunk options

For most options, reticulate's python engine behaves the same as the default R engine included in knitr, but they might not support all the same features. Options in italic are equivalent to knitr, but with modified behavior.

  • eval (TRUE, logical): If TRUE, all expressions in the chunk are evaluated. If FALSE, no expression is evaluated. Unlike knitr's R engine, it doesn't support numeric values indicating the expressions to evaluate.

  • echo (TRUE, logical): Whether to display the source code in the output document. Unlike knitr's R engine, it doesn't support numeric values indicating the expressions to display.

  • results ('markup', character): Controls how to display the text results. Note that this option only applies to normal text output (not warnings, messages, or errors). The behavior should be identical to knitr's R engine.

  • collapse (FALSE, logical): Whether to, if possible, collapse all the source and output blocks from one code chunk into a single block (by default, they are written to separate blocks). This option only applies to Markdown documents.

  • error (TRUE, logical): Whether to preserve errors. If FALSE evaluation stops on errors. (Note that RMarkdown sets it to FALSE).

  • warning (TRUE, logical): Whether to preserve warnings in the output. If FALSE, all warnings will be suppressed. Doesn't support indices.

  • include (TRUE, logical): Whether to include the chunk output in the output document. If FALSE, nothing will be written into the output document, but the code is still evaluated and plot files are generated if there are any plots in the chunk, so you can manually insert figures later.

  • dev: The graphical device to generate plot files. See knitr documentation for additional information.

  • base.dir (NULL; character): An absolute directory under which the plots are generated.

  • strip.white (TRUE; logical): Whether to remove blank lines in the beginning or end of a source code block in the output.

  • dpi (72; numeric): The DPI (dots per inch) for bitmap devices (dpi * inches = pixels).

  • fig.width, fig.height (both are 7; numeric): Width and height of the plot (in inches), to be used in the graphics device.

  • label: The chunk label for each chunk is assumed to be unique within the document. This is especially important for cache and plot filenames, because these filenames are based on chunk labels. Chunks without labels will be assigned labels like unnamed-chunk-i, where i is an incremental number.

Python engine only options

  • jupyter_compat (FALSE, logical): If TRUE then, like in Jupyter notebooks, only the last expression in the chunk is printed to the output.

  • out.width.px, out.height.px (810, 400, both integers): Width and height of the plot in the output document, which can be different with its physical fig.width and fig.height, i.e., plots can be scaled in the output document. Unlike knitr's out.width, this is always set in pixels.

  • altair.fig.width, altair.fig.height: If set, is used instead of out.width.px and out.height.px when writing Altair charts.


rstudio/reticulate documentation built on April 20, 2024, 3:17 p.m.