Matplotlib: treemap

Date:2017-07-13 (last modified), 2006-07-29 (created)

Treemaps are a nice way of showing tree information not based on a connected node approach.


In [ ]:
Treemap builder using pylab.

Uses algorithm straight from

James Casbon 29/7/2006

import pylab
from matplotlib.patches import Rectangle

class Treemap:
    def __init__(self, tree, iter_method, size_method, color_method):
        """create a tree map from tree, using itermethod(node) to walk tree,
        size_method(node) to get object size and color_method(node) to get its 
        color""" = pylab.subplot(111,aspect='equal')
        pylab.subplots_adjust(left=0, right=1, top=1, bottom=0)[])[])

        self.size_method = size_method
        self.iter_method = iter_method
        self.color_method = color_method

    def addnode(self, node, lower=[0,0], upper=[1,1], axis=0):
        axis = axis % 2
        self.draw_rectangle(lower, upper, node)
        width = upper[axis] - lower[axis]
            for child in self.iter_method(node):
                upper[axis] = lower[axis] + (width * float(self.size_method(child))) / self.size_method(node)
                self.addnode(child, list(lower), list(upper), axis + 1)
                lower[axis] = upper[axis]

        except TypeError:

    def draw_rectangle(self, lower, upper, node):
        print lower, upper
        r = Rectangle( lower, upper[0]-lower[0], upper[1] - lower[1],
                   facecolor= self.color_method(node))

if __name__ == '__main__':
    # example using nested lists, iter to walk and random colors

    size_cache = {}
    def size(thing):
        if isinstance(thing, int):
            return thing
        if thing in size_cache:
            return size_cache[thing]
            size_cache[thing] = reduce(int.__add__, [size(x) for x in thing])
            return size_cache[thing]
    import random
    def random_color(thing):
        return (random.random(),random.random(),random.random())

    tree= ((5,(3,5)), 4, (5,2,(2,3,(3,2,2)),(3,3)), (3,2) )

    Treemap(tree, iter, size, random_color)

Section author: Unknown[72], AndrewStraw, Christian Gagnon, Pauli Virtanen, team172011