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Hierarchical subset diagram plotting for Python/Matplotlib

Routines for plotting area-weighted diagrams of subsets and subsets of subsets. This consistutes an extension to Venn diagrams in some sense (hierarchy), while a limitation in another (subsets only).

Installation

The simplest way to install the package is via easy_install or pip:

$ easy_install matplotlib-subsets

Dependencies

  • numpy, scipy, matplotlib.

Usage

The package provides the function: treesets_rectangles.

It takes a tree, where each node is defined as ((number-of-items-contained, label, dictionary-of-plotting-attributes), [child nodes…]).

For example:

tree = ((120, '120', None), [
        ((50, 'A50', None), []),
        ((50, 'B50', None), [])
        ])

treesets_rectangles(tree)
plt.savefig('example_tree.pdf', bbox_inches='tight')
plt.close()

Here, the node ‘120’ is of size 120. It has two subsets, ‘A50’ and ‘B50’, each of size 50. No additional plotting attributes are given (e.g. the color of rectangles is chosen automatically).

See also

Metadata

Release files for matplotlib-subsets 1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for matplotlib-subsets 1.0
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Table of built distributions (wheels) for matplotlib-subsets 1.0
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matplotlib_subsets-1.0-py2.7.egg Legacy Egg format - - Details

Total release size: 10.3 kB

Release files / matplotlib-subsets-1.0.tar.gz

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