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---
plot-configuration: plot-config.yml
---
<!-- The file index.html is automatically generated by the mksite.ps1 script. Do not edit manually.
-->
`pandoc-plot` is a [pandoc](https://pandoc.org) filter to generate figures from code blocks in documents. This page is generated [from Markdown](index.md) using `pandoc-plot`, so you can get a sense of what is possible.
- [Supported toolkits](#supported-toolkits)
- [Simple examples](#simple-examples)
- [Interactive plots](#interactive-plots)
- [Source repository](https://github.com/LaurentRDC/pandoc-plot)
- [Documentation](MANUAL.html)
## Supported toolkits
`pandoc-plot` currently supports the following plotting toolkits
(**installed separately**):
- `matplotlib`: plots using the [matplotlib](https://matplotlib.org/)
Python library;
- `plotly_python` : plots using the
[plotly](https://plotly.com/python/) Python library;
- `plotly_r`: plots using the [plotly](https://plotly.com/r/) R
library
- `matlabplot`: plots using [MATLAB](https://www.mathworks.com/);
- `mathplot` : plots using
[Mathematica](https://www.wolfram.com/mathematica/);
- `octaveplot`: plots using [GNU
Octave](https://www.gnu.org/software/octave/);
- `ggplot2`: plots using [ggplot2](https://ggplot2.tidyverse.org/);
- `gnuplot`: plots using [gnuplot](http://www.gnuplot.info/);
- `graphviz`: graphs using [Graphviz](http://graphviz.org/);
- `bokeh`: plots using the [Bokeh](https://bokeh.org/) visualization library;
- `plotsjl`: plots using the [Julia `Plots.jl`](http://docs.juliaplots.org/latest/) package;
- `plantuml`: diagrams using [PlantUML](https://plantuml.com).
## Simple examples
Here's the simplest way to create a figure in Markdown:
````markdown
```{.matplotlib}
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(23)
# Compute areas and colors
N = 150
r = 2 * np.random.rand(N)
theta = 2 * np.pi * np.random.rand(N)
area = 200 * r**2
colors = theta
fig = plt.figure()
ax = fig.add_subplot(111, projection='polar')
c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75)
```
````
which renders like so:
```{.matplotlib}
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(23)
# Compute areas and colors
N = 150
r = 2 * np.random.rand(N)
theta = 2 * np.pi * np.random.rand(N)
area = 200 * r**2
colors = theta
fig = plt.figure()
ax = fig.add_subplot(111, projection='polar')
c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75)
```
## Interactive plots
`pandoc-plot` supports interactive plots for certain toolkits. Here's an example using [`bokeh`](https://bokeh.org):
````markdown
```{.python .bokeh format=html caption="Move around in the plot by using your mouse. This gallery example was modified from [here](https://docs.bokeh.org/en/latest/docs/gallery/hex_tile.html)."}
import numpy as np
from bokeh.plotting import figure
from bokeh.transform import linear_cmap
from bokeh.util.hex import hexbin
np.random.seed(23)
n = 50000
x = np.random.standard_normal(n)
y = np.random.standard_normal(n)
bins = hexbin(x, y, 0.1)
p = figure(title="Interactive plotting with Bokeh", tools="wheel_zoom,pan,reset", match_aspect=True, background_fill_color='#440154', width=550, height=550)
p.grid.visible = False
p.hex_tile(q="q", r="r", size=0.1, line_color=None, source=bins,
fill_color=linear_cmap('counts', 'Viridis256', 0, max(bins.counts)))
```
````
```{.python .bokeh format=html caption="Move around in the plot by using your mouse. This gallery example was modified from [here](https://docs.bokeh.org/en/latest/docs/gallery/hex_tile.html)."}
import numpy as np
from bokeh.plotting import figure
from bokeh.transform import linear_cmap
from bokeh.util.hex import hexbin
np.random.seed(23)
n = 50000
x = np.random.standard_normal(n)
y = np.random.standard_normal(n)
bins = hexbin(x, y, 0.1)
p = figure(title="Interactive plotting with Bokeh", tools="wheel_zoom,pan,reset", match_aspect=True, background_fill_color='#440154', width=550, height=550)
p.grid.visible = False
p.hex_tile(q="q", r="r", size=0.1, line_color=None, source=bins,
fill_color=linear_cmap('counts', 'Viridis256', 0, max(bins.counts)))
```
|
