How to make a sunburst plot in R or Python?

Python version of sunburst diagram using matplotlib bars in polar projection:

import numpy as npimport matplotlib.pyplot as pltdef sunburst(nodes, total=np.pi * 2, offset=0, level=0, ax=None):    ax = ax or plt.subplot(111, projection='polar')    if level == 0 and len(nodes) == 1:        label, value, subnodes = nodes[0]        ax.bar([0], [0.5], [np.pi * 2])        ax.text(0, 0, label, ha='center', va='center')        sunburst(subnodes, total=value, level=level + 1, ax=ax)    elif nodes:        d = np.pi * 2 / total        labels = []        widths = []        local_offset = offset        for label, value, subnodes in nodes:            labels.append(label)            widths.append(value * d)            sunburst(subnodes, total=total, offset=local_offset,                     level=level + 1, ax=ax)            local_offset += value        values = np.cumsum([offset * d] + widths[:-1])        heights = [1] * len(nodes)        bottoms = np.zeros(len(nodes)) + level - 0.5        rects = ax.bar(values, heights, widths, bottoms, linewidth=1,                       edgecolor='white', align='edge')        for rect, label in zip(rects, labels):            x = rect.get_x() + rect.get_width() / 2            y = rect.get_y() + rect.get_height() / 2            rotation = (90 + (360 - np.degrees(x) % 180)) % 360            ax.text(x, y, label, rotation=rotation, ha='center', va='center')     if level == 0:        ax.set_theta_direction(-1)        ax.set_theta_zero_location('N')        ax.set_axis_off()

Example, how this function can be used:

data = [    ('/', 100, [        ('home', 70, [            ('Images', 40, []),            ('Videos', 20, []),            ('Documents', 5, []),        ]),        ('usr', 15, [            ('src', 6, [                ('linux-headers', 4, []),                ('virtualbox', 1, []),            ]),            ('lib', 4, []),            ('share', 2, []),            ('bin', 1, []),            ('local', 1, []),            ('include', 1, []),        ]),    ]),]sunburst(data)

You can even build an interactive version quite easily with R now:

# devtools::install_github("timelyportfolio/sunburstR")library(sunburstR)# read in sample visit-sequences.csv data provided in source# https://gist.github.com/kerryrodden/7090426#file-visit-sequences-csvsequences <- read.csv(  system.file("examples/visit-sequences.csv",package="sunburstR")  ,header=F  ,stringsAsFactors = FALSE)sunburst(sequences)

...and when you move your mouse above it, the magic happens:

Edit
The official site of this package can be found here (with many examples!): https://github.com/timelyportfolio/sunburstR

Hat Tip to @timelyportfolio who created this impressive piece of code!

You can create something along the lines of a sunburst plot using geom_tile from the ggplot2 package. Let's first create some random data:

require(ggplot2); theme_set(theme_bw())require(plyr)dat = data.frame(expand.grid(x = 1:10, y = 1:10),                 z = sample(LETTERS[1:3], size = 100, replace = TRUE))

And then create the raster plot. Here, the x axis in the plot is coupled to the x variable in dat, the y axis to the y variable, and the fill of the pixels to the z variable. This yields the following plot:

p = ggplot(dat, aes(x = x, y = y, fill = z)) + geom_tile() print(p)

The ggplot2 package supports all kinds of coordinate transformations, one of which takes one axis and projects it on a circle, i.e. polar coordinates:

p + coord_polar()

This roughly does what you need, now you can tweak dat to get the desired result.