pandoc-plot 1.3.0 manual

pandoc-plot turns code blocks present in your documents (Markdown, LaTeX, etc.) into embedded figures, using your plotting toolkit of choice, including Matplotlib, ggplot2, MATLAB, Mathematica, and more.

Features Overview

Captions

You can also specify a caption for your image. This is done using the optional caption parameter.

```{.matlabplot caption="This is a simple figure with a **Markdown** caption"}
x  = 0: .1 : 2*pi;
y1 = cos(x);
y2 = sin(x);

figure
plot(x, y1, 'b', x, y2, 'r-.', 'LineWidth', 2)
```

\begin{minted}[caption=This is a simple figure with a caption]{matlabplot}
x  = 0: .1 : 2*pi;
y1 = cos(x);
y2 = sin(x);

figure
plot(x, y1, 'b', x, y2, 'r-.', 'LineWidth', 2)
\end{minted}

Caption formatting unfortunately cannot be determined automatically. To specify a caption format (e.g. “markdown”, “LaTeX”, etc.), see Configuration.

Link to source code

In case of an output format that supports links (e.g. HTML), the embedded image generated by pandoc-plot can show a link to the source code which was used to generate the file. Therefore, other people can see what code was used to create your figures.

```{.mathplot source=true}
...
```

\begin{minted}[source=true]{mathplot}
...
\end{minted}

Preamble scripts

If you find yourself always repeating some steps, inclusion of scripts is possible using the preamble parameter. For example, if you want all Matplotlib plots to have the ggplot style, you can write a very short preamble style.py like so:

import matplotlib.pyplot as plt
plt.style.use('ggplot')

```{.matplotlib preamble=style.py}
plt.figure()
plt.plot([0,1,2,3,4], [1,2,3,4,5])
plt.title('This is an example figure')
```

```{.matplotlib}
import matplotlib.pyplot as plt
plt.style.use('ggplot')

plt.figure()
plt.plot([0,1,2,3,4], [1,2,3,4,5])
plt.title('This is an example figure')
```

\begin{minted}[include=style.py]{matplotlib}

\end{minted}

This preamble parameter is perfect for longer documents with many plots. Simply define the style you want in a separate script! You can also import packages this way, or define functions you often use.

Support for interactive plots

Starting with version 0.8.0.0, pandoc-plot supports the creation of interactive plots (if a toolkit supports it). All you need to do is set the save format to html. The resulting plot is fully self-contained, so it can be displayed offline.

Performance

pandoc-plot minimizes work, only generating figures if it absolutely must, i.e. if the content has changed. pandoc-plot will save the hash of the source code used to generate a figure in its filename. Before generating a figure, pandoc-plot will check it this figure already exists based on the hash of its source! This also means that there is no way to directly name figures.

Moreover, starting with version 0.5.0.0, pandoc-plot takes advantage of multicore CPUs, rendering figures in parallel.

Therefore, you can confidently run the filter on very large documents containing hundreds of figures, like a book or a thesis.

Compatibility with pandoc-crossref

pandoc-crossref is a pandoc filter that makes it effortless to cross-reference objects in Markdown documents.

You can use pandoc-crossref in conjunction with pandoc-plot for the ultimate figure-making pipeline. You can combine both in a figure like so:

```{#fig:myexample .plotly_python caption="This is a caption"}
# Insert figure script here
```

As you can see in @fig:myexample, ...

If the above source is located in file myfile.md, you can render the figure and references by applying pandoc-plot first, and then pandoc-crossref. For example:

pandoc --filter pandoc-plot --filter pandoc-crossref -i myfile.md -o myfile.html

Detailed usage

pandoc-plot is a command line executable with a few functions. You can take a look at the help using the -h/--help flag:

pandoc-plot 1.3.0 - generate figures directly in documents

Usage: pandoc-plot.EXE [(-v|--version) | --full-version | (-m|--manual)] 
                       [COMMAND] [AST]
  This pandoc filter generates plots from code blocks using a multitude of
  possible renderers. This allows to keep documentation and figures in perfect
  synchronicity.

Available options:
  -v,--version             Show version number and exit.
  --full-version           Show full version information and exit.
  -m,--manual              Open the manual page in the default web browser and
                           exit.
  -h,--help                Show this help text

Available commands:
  toolkits                 Show information on toolkits and exit.
  clean                    Clean output directories where figures from FILE and
                           log files might be stored. WARNING: All files in
                           those directories will be deleted.
  write-example-config     Write example configuration to a file and exit.

More information can be found via the manual (pandoc-plot --manual) or the
repository README, located at https://github.com/LaurentRDC/pandoc-plot

As a filter

The most common use for pandoc-plot is as a pandoc filter, in which case it should be called without arguments. For example:

pandoc --filter pandoc-plot -i input.md -o output.html

If pandoc-plot fails to render a code block into a figure, the filtering will not stop. Your code blocks will stay unchanged, unless you activate strict mode.

pandoc --filter pandoc-plot --filter pandoc-crossref -i input.md -o output.html

Syntax

The syntax for code blocks in documents is shown below. pandoc-plot looks for code blocks with a specific class, depending on the toolkit you want to use. pandoc-plot will run the code and capture the figure output. There can only be one figure per code block.

Markdown

  ```{.cls param1=value1 param2=value2 ...}
  # script content
  ```

LaTeX

\begin{minted}[param1=value1, param2=value2, ...]{cls}
...
\end{minted}

Parameters and options

There are parameters that affect the figure that will be included in your document. Here are all the possible general parameters, in Markdown syntax:

  ```{.cls 
      .language
      directory=(path) 
      caption=(text) 
      format=(PNG|PDF|SVG|JPG|EPS|GIF|TIF|WEBP|HTML|LATEX) 
      source=(true|True|false|False) 
      source_label=(text)
      preamble=(path) 
      dpi=(integer)
      dependencies=[...]
      file=(path)
      executable=(path) 
      caption_format=(text)
      }
  # script content
  ```

All following parameters are optional, with their default values controlled by the configuration.

Code highlighting

If your editor supports code highlighting in code blocks, you can also include the programming language. In Markdown:

  ```{.language .cls (options)}
  # script content
  ```

  \begin{minted}[(options)]{language, cls}
  # script content
  \end{minted}

  ```{.r .ggplot2 caption=Highlighted code block}
  # script content
  ```

  \begin{minted}[caption=Highlighted code block]{r, ggplot2}
  # script content
  \end{minted}

Interactive HTML figures

Interactive HTML figures are available for a few toolkits, e.g. bokeh. To make a figure interactive, use the output format format=html. This only makes sense if your output file is also HTML.

Many interactive plots rely on javascript scripts stored on the internet. If you want to have a self-contained document that can be viewed offline – or you want your document to work for the next 10 years –, you can use pandoc’s --self-contained flag:

pandoc --self-contained --filter pandoc-plot -i mydoc.md -o webpage.html

The resulting output webpage.html will contain everything, at the cost of size.

Configuration

To avoid repetition, pandoc-plot can be configured using simple YAML files. Here are all the possible parameters:

# This is an example configuration. Everything in this file is optional.
# Please refer to the documentation to know about the parameters herein.
#
# The `executable` parameter for all toolkits can be either the
# executable name (if it is present on the PATH), or
# the full path to the executable.
# E.g.:
#  executable: python3
#  executable: "C:\Python37\Scripts\python.exe"

# The following parameters affect all toolkits
# Directory where to save the plots. The path can be relative to pandoc-plot's
# current working directory, or absolute.
directory: plots/

# Whether or not to include a link to the source script in the caption. 
# Particularly useful for HTML output.
source: false

# When `strict: false`, pandoc-plot will leave code blocks untouched if a plot
# could not be generated. This could happen if, for example, a toolkit is not
# installed. If you want pandoc-plot to fail instead, use `strict: true`.
strict: false

# Text label for links to source code.
# You can change this label if you are writing a document in a non-English language. 
# This only matters if `source` is set to `true`.
source_label: Source code

# Default density of figures in dots per inches (DPI). 
# This can be changed in the document specifically as well.
dpi: 80

# Default format in which to save the figures. This can be specified 
# individually as well.
format: PNG

# Default files/directories on which all figures depend. If any of these files/directories
# changes, all figures will be re-rendered.
# Dependencies specified in code blocks will be appended to this list.
dependencies:
  - file1.txt
  - file2.txt

# Text format for the captions. Unfortunately, there is no way to detect
# this automatically. You can use the same notation as Pandoc's --from 
# parameter, specified here: 
#     https://pandoc.org/MANUAL.html#option--from
# Example: markdown, rst+raw_tex
caption_format: markdown+tex_math_dollars


# Logging configuration
logging:
  # Possible verbosity values: debug, error, warning, info, silent
  verbosity: warning
  # If the filepath below is not present, then pandoc-plot will log to stderr
  # Otherwise, log messages will be appended to the filepath.
  # filepath: path/to/file.txt

# The possible parameters for the Matplotlib toolkit
matplotlib:
  # preamble: matplotlib.py
  tight_bbox: false
  transparent: false
  executable: python
  command_line_arguments:

# The possible parameters for the MATLAB toolkit
matlabplot:
  # preamble: matlab.m
  executable: matlab
  command_line_arguments:

# The possible parameters for the Plotly/Python toolkit
plotly_python:
  # preamble: plotly-python.py
  executable: python
  command_line_arguments:

# The possible parameters for the Plotly/R toolkit
plotly_r:
  # preamble: plotly-r.r
  executable: Rscript
  command_line_arguments:

# The possible parameters for the Mathematica toolkit
mathplot:
  # preamble: mathematica.m
  executable: math
  command_line_arguments:

# The possible parameters for the GNU Octave toolkit
octaveplot:
  # preamble: octave.m
  executable: octave
  command_line_arguments:

# The possible parameters for the ggplot2 toolkit
ggplot2:
  # preamble: ggplot2.r
  executable: Rscript
  command_line_arguments:

# The possible parameters for the gnuplot toolkit
gnuplot:
  # preamble: gnuplot.gp
  executable: gnuplot
  command_line_arguments:

# The possible parameters for the graphviz toolkit
graphviz:
  # preamble: graphviz.dot
  executable: dot
  command_line_arguments:

bokeh:
  # preamble: bokeh.py
  executable: python
  command_line_arguments:

plotsjl:
  # preamble: plotsjl.jl
  executable: julia
  command_line_arguments:

plantuml:
  # preamble: plantuml.txt
  executable: java
  command_line_arguments: -jar plantuml.jar
  # On Linux, if you have `plantuml.jar` as an executable, you can also
  # use the following configuration instead:
  # plantuml:
  #   executable: plantuml
  #   command_line_arguments:

A file like the above sets the default values; you can still override them in documents directly.

The easiest way to specify configuration for pandoc-plot is to place a .pandoc-plot.yml file in the current working directory. You can also specify a configuration file in document metadata, under the plot-configuration key. For example, in Markdown:

---
title: My document
author: John Doe
plot-configuration: /path/to/file.yml
---

pandoc --filter pandoc-plot -M plot-configuration=/path/to/file.yml ...

Executables

The executable parameter for all toolkits can be either the executable name (if it is present on the PATH), or the full path to the executable.

matplotlib:
  executable: python3

matlabplot:
  executable: "C:\Program Files\Matlab\R2019b\bin\matlab.exe"

Command-line arguments

The command_line_arguments parameter available for all toolkits provides a way to customize the way interpreters are run. For example, if you want to run the matplotlib toolkit with all warnings shown:

# The possible parameters for the Matplotlib toolkit
matplotlib:
  executable: python
  command_line_arguments: -Wa

# The possible parameters for the Matplotlib toolkit
plotsjl:
  executable: julia
  command_line_arguments: --threads auto

Toolkit-specific options

Matplotlib

Logging

If you are running pandoc-plot on a large document, you might want to turn on logging. You can do so via the configuration file as follows:

logging:
    # Possible verbosity values: debug, error, warning, info, silent
    # debug level shows all messages
    # error level shows all but debug messages, etc.
    verbosity: info
    
    # OPTIONAL: log to file
    # Remove line below to log to stderr
    filepath: log.txt

By default, pandoc-plot logs warnings and errors to the standard error stream only.

Strict mode

By default, pandoc-plot leaves code blocks unchanged if a figure fails to be rendered. This might be the case if a plotting toolkit is not installed, or if running the code to render a figure returns an error. In strict mode, pandoc-plot will immediately halt if it encounters a problem. You can activate strict mode via configuration:

Strict mode is ideal if you want to ensure that the figures are correctly rendered in the document.

Other commands

Finding installed toolkits

You can determine which toolkits are available on your current machine using the pandoc-plot toolkits command. Here is the full help text:

Usage: pandoc-plot.EXE toolkits [--config PATH]
  Show information on toolkits and exit.

Available options:
  --config PATH            Path to optional configuration file.
  -h,--help                Show this help text

Cleaning output

Figures produced by pandoc-plot can be placed in a few different locations. You can set a default location in the Configuration, but you can also re-direct specific figures in other directories if you use the directory=... argument in code blocks. These figures will build up over time. You can use the clean command to scan documents and delete the associated pandoc-plot output files. For example, to delete the figures generated from the input.md file:

pandoc-plot clean input.md

This sill remove all directories where a figure could have been placed. WARNING: all files will be removed.

Usage: pandoc-plot.EXE clean [--config PATH] FILE
  Clean output directories where figures from FILE and log files might be
  stored. WARNING: All files in those directories will be deleted.

Available options:
  --config PATH            Path to optional configuration file.
  -h,--help                Show this help text

Configuration template

Because pandoc-plot supports a few toolkits, there are a lot of configuration options. Don’t start from scratch! The write-example-config command will create a file for you, which you can then modify:

pandoc-plot write-example-config

You will need to re-name the file to .pandoc-ploy.yml to be able to use it, so don’t worry about overwriting your own configuration.

Usage: pandoc-plot.EXE write-example-config [--path FILE]
  Write example configuration to a file and exit.

Available options:
  --path FILE              Target location of the configuration file. Default is
                           ".example-pandoc-plot.yml"
  -h,--help                Show this help text

As a Haskell library

To include the functionality of pandoc-plot in a Haskell package, you can use the make function (for single blocks) or plotFilter function (for entire documents). Take a look at the documentation on Hackage.

Usage with Hakyll

In case you want to use the filter with your own Hakyll setup, you can use a transform function that works on entire documents:

import Text.Pandoc.Filter.Plot (plotFilter, defaultConfiguration)
import Text.Pandoc.Definition (Pandoc, Format(..)) -- from pandoc-types
import Hakyll

plotFilter' :: Pandoc -> IO Pandoc
plotFilter' = 
  -- Notify pandoc-plot that the final conversion will be to HTML
  -- This helps give better error messages and adjust default values
  plotFilter defaultConfiguration (Just $ Format "html5") 

-- Unsafe compiler is required because of the interaction
-- in IO (i.e. running an external script).
makePlotPandocCompiler :: Compiler (Item String)
makePlotPandocCompiler = 
  pandocCompilerWithTransformM
    defaultHakyllReaderOptions
    defaultHakyllWriterOptions
    (unsafeCompiler . plotFilter')

Warning

Do not run this filter on unknown documents. There is nothing in pandoc-plot that can stop a script from performing evil actions.

A Pandoc filter to generate figures from code blocks in documents