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

import numpy as np
import matplotlib.pyplot as plt

def 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)

Theres a package called ggsunburst. Sadly is not in CRAN but you can install following the instruction in the website: http://genome.crg.es/~didac/ggsunburst/ggsunburst.html.



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Hope it helps to people who still looking for a good package like this.

There are only a couple of libraries that I know of that do this natively:

1. The Javascript Infovis Toolkit (jit) (example).
2. D3.js
3. OCaml's Simple Plot Tool (SPT).

Neither of these are in Python or R, but getting a python/R script to write out a simple JSON file that can be loaded by either of the javascript libraries should be pretty achievable.

Since Pranav B mentioned ggsunburst, here I post an example for reproducing the sunburst by sirex.

It is not exactly the same because in ggsunburst the angle of a node is equal to the sum of the angles of its children nodes.

# install ggsunburst package
if (!require("ggplot2")) install.packages("ggplot2")
if (!require("rPython")) install.packages("rPython")
install.packages("http://genome.crg.es/~didac/ggsunburst/ggsunburst_0.0.9.tar.gz", repos=NULL, type="source")
library(ggsunburst)

# dataframe
# each row corresponds to a node in the hierarchy
# parent and node are required, the rest are optional attributes
# the attributes correspond to the node, not its parent
df <- read.table(header = T, sep = ",", text = "
parent,node,size,color,dist
,/,,B,1
/,home,,D,1
home,Images, 40,E,1
home,Videos, 20,E,1
home,Documents, 5,E,1
/,usr,,D,1
usr,src,,A,1
src,linux-headers, 4,C,1.5
src,virtualbox, 1,C,1.5
usr,lib, 4,A,1
usr,share, 2,A,1
usr,bin, 1,A,1
usr,local, 1,A,1
usr,include, 1,A,1
")

write.table(df, 'df.csv', sep = ",", row.names = F)

# compute coordinates from dataframe
# "node_attributes" is used to pass the attributes other than "size" and "dist", 
# which are special attributes that alter the dimensions of the nodes
sb <- sunburst_data('df.csv', sep = ",", type = "node_parent", node_attributes = "color")

# plot
sunburst(sb, node_labels = T, node_labels.min = 10, rects.fill.aes = "color") +
  scale_fill_brewer(palette = "Set1", guide = F)