Embed gnuplot, ditaa, pyplot, DOT, etc. diagrams in your Sphinx-based documentation.

## Project description

A sphinx extension to plot all kind of graph such as ditaa/gnuplot/pyplot, etc. within .rst file.

Usage: Inline diagram, show as svg:

.. plot:: gnuplot
:caption: figure 3. illustration for gnuplot
:size: 500,300

set style fill transparent solid 0.5 noborder
set style function filledcurves y1=0

Gauss(x,mu,sigma) = 1./(sigma*sqrt(2*pi)) * exp( -(x-mu)**2 / (2*sigma**2) )
d1(x) = Gauss(x, 0.5, 0.5)
d2(x) = Gauss(x,  2.,  1.)
d3(x) = Gauss(x, -1.,  2.)

set xrange [-5:5]
set yrange [0:1]
set key title "Gaussian Distribution"
set key top left Left reverse samplen 1
set title "Transparent filled curves"
plot d1(x) fs solid 1.0 lc rgb "forest-green" title "μ =  0.5 σ = 0.5", \
d2(x) lc rgb "gold" title "μ =  2.0 σ = 1.0", \
d3(x) lc rgb "dark-violet" title "μ = -1.0 σ = 2.0"

## 1. Installing and setup

pip install sphinxcontrib-plot

And just add sphinxcontrib.plot to the list of extensions in the conf.py file. For example:

extensions = ['sphinxcontrib.plot']

## 2. Introduction and examples

In rst we we use image and figure directive to render image/figure. In fact we can plot anything in rst as it was on shell. For examples:

### 2.1 gnuplot example

The first example is gnuplot.:

.. plot:: gnuplot
:caption: figure 3. illustration for gnuplot
:size: 500,300

set style fill transparent solid 0.5 noborder
set style function filledcurves y1=0

Gauss(x,mu,sigma) = 1./(sigma*sqrt(2*pi)) * exp( -(x-mu)**2 / (2*sigma**2) )
d1(x) = Gauss(x, 0.5, 0.5)
d2(x) = Gauss(x,  2.,  1.)
d3(x) = Gauss(x, -1.,  2.)

set xrange [-5:5]
set yrange [0:1]
set key title "Gaussian Distribution"
set key top left Left reverse samplen 1
set title "Transparent filled curves"
plot d1(x) fs solid 1.0 lc rgb "forest-green" title "μ =  0.5 σ = 0.5", \
d2(x) lc rgb "gold" title "μ =  2.0 σ = 1.0", \
d3(x) lc rgb "dark-violet" title "μ = -1.0 σ = 2.0"

After convert using gnuplot, the above file becomes:

### 2.1 ditaa example

Another example is ditaa. ditaa is a small command-line utility that can convert diagrams drawn using ascii art into proper bitmap graphics. Ditaa is in java and we We could use following directive to render the image with extra parameters:

.. plot:: ditaa
:caption: figure 1. illustration for ditaa

+--------+   +-------+    +-------+
|        | --+ ditaa +--> |       |
|  Text  |   +-------+    |diagram|
|Document|   |!magic!|    |       |
|     {d}|   |       |    |       |
+---+----+   +-------+    +-------+
:                         ^
|       Lots of work      |
+-------------------------+

Or plot it with parameters:

.. plot:: ditaa --svg
:caption: figure 2. illustration for ditaa with option

+--------+   +-------+    +-------+
|        | --+ ditaa +--> |       |
|  Text  |   +-------+    |diagram|
|Document|   |!magic!|    |       |
|     {d}|   |       |    |       |
+---+----+   +-------+    +-------+
:                         ^
|       Lots of work      |
+-------------------------+

After convert using ditaa, the above file becomes:

### 2.3 python example

Another example is mulplotlib.plot.

.. plot:: python
:caption: figure 4. illustration for python

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 1, 500)
y = np.sin(4 * np.pi * x) * np.exp(-5 * x)

fig, ax = plt.subplots()

ax.fill(x, y, zorder=10)
ax.grid(True, zorder=5)
plt.show()

After conversion using python, we could get the following image:

### 2.4 graphviz(dot) example

Another example is graphivx(dot), since we want to generate png image, we add the option in the command, it’s dot’s own option:

.. plot:: dot -Tpng
:caption: illustration for dot

digraph G {

subgraph cluster_0 {
style=filled;
color=lightgrey;
node [style=filled,color=white];
a0 -> a1 -> a2 -> a3;
label = "process #1";
}

subgraph cluster_1 {
node [style=filled];
b0 -> b1 -> b2 -> b3;
label = "process #2";
color=blue
}
start -> a0;
start -> b0;
a1 -> b3;
b2 -> a3;
a3 -> a0;
a3 -> end;
b3 -> end;

start [shape=Mdiamond];
end [shape=Msquare];
}

After convert using dot, the above file becomes:

### 2.5 convert example

Another example is convert. You can write the command in the commnad line:

.. plot::
:caption: illustration for convert

convert rose:  -fill none -stroke white -draw 'line 5,40 65,5'  rose_raw.png

This is the output:

or you can write a magick script as the following:

.. plot:: magick
:caption: illustration for convert

-size 140x130 xc:white -stroke black
-fill red   -draw "path 'M 60,70 L   60,20   A 50,50 0 0,1 68.7,20.8 Z'"
-fill green -draw "path 'M 60,70 L 68.7,20.8 A 50,50 0 0,1 77.1,23.0 Z'"
-fill blue  -draw "path 'M 68,65 L 85.1,18.0 A 50,50 0 0,1  118,65   Z'"
-fill gold  -draw "path 'M 60,70 L  110,70   A 50,50 0 1,1   60,20   Z'"
-fill black -stroke none  -pointsize 10
-draw "text 57,19 '10' text 70,20 '10' text 90,19 '70' text 113,78 '270'"

### 2.6 Other applications

In theory, All the command which could generate graph could be used after the directive “..plot::”. Please report it when you found anyone which works or doesn’t work.

## 3 Options

sphinxcontrib-plot provide some options for easy use.

### 3.1 command options

First of all, you can add any parameter after the command. sphinxcontrib-plot doesn’t know and interfere with it and only get the graph after it’s executed. for example:

.. plot:: ditaa --no-antialias -s 2
:caption: figure 1. illustration for ditaa with option.

+--------+   +-------+    +-------+
|        | --+ ditaa +--> |       |
|  Text  |   +-------+    |diagram|
|Document|   |!magic!|    |       |
|     {d}|   |       |    |       |
+---+----+   +-------+    +-------+
:                         ^
|       Lots of work      |
+-------------------------+

### 3.2 sphinxcontrib-plot options

sphinxcontrib-plot specific options:

1. size:

Control the output image size for gnuplot.

2. plot_format:

the output image format, for example svg, png, etc, overwrite global plot_format.

3. convert:

use convert to add some watermark

4. show_source:

for text generated iamge, if the source code is shown.

5. caption:

The title for the image.

6. hidden:

Only generate the image bug doesn’t render it in the document.

Common image options:

Since plot generate figure/image, it’s in fact a image. So all the options of figure and image could be used. For example:

1. name:

the reference name for the figure/image. For html, it would rename the output file to the @name. Since latex doesn’t do well in supporting :name: for example doesn’t support Chinese/SPACE, doesn’t generate linke to :name, we don’t do that in latex.

For example:

.. plot:: gnuplot
:caption: figure 1. illustration for gnuplot with watermark.
:name: figure 1. illustration for gnuplot with watermark.
:convert: -stroke red -strokewidth 2 -fill none -draw "line 100,100
200, 200"
:size: 900,600
:width: 600

plot [-5:5] (sin(1/x) - cos(x))*erfc(x)

### 3.2 global options

Please add the following option into you conf.py to designate defualt output file format for different targe. The default output format for html and latex is as following, you can change them in you own conf.py:

plot_format = dict(html='svg', latex='pdf')

If it doesn’t support suck kind of output format, it would fall back to .png.

GPLv3

## 5. Changelog

1.0.8 Bug fix: When there is no :size: in gnuplot plot, it might crash.
1.0.10 Bug fix: fix the issue that convert doesn’t work.
1.0.13 Support magick script
1.0.17 bug fix: convert can has no body.
1.0.18 New feature: 1) Support montage command; 2) Support including .gif image into html and pdf. If it’s html, play the .gif, or else if it’s pdf, convert the .gif to a list of frame.
1.0.19 Support lines starting with # in the convert/montage body.

## Project details

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