Functions for plotting area-proportional two- and three-way Venn diagrams in matplotlib.
Routines for plotting area-weighted two- and three-circle venn diagrams.
Important changes in version 0.3
As the use of package name matplotlib.venn was causing occasional conflicts with matplotlib, in version 0.3, the package name was changed to matplotlib_venn. I.e., if in version 0.2 you had to do things like:
from matplotlib.venn import venn3
now the correct way is:
from matplotlib_venn import venn3
The simplest way to install the package is via easy_install or pip:
$ easy_install matplotlib-venn
- numpy, scipy, matplotlib.
The package provides four main functions: venn2, venn2_circles, venn3 and venn3_circles.
The functions venn2 and venn2_circles accept as their only required argument a 3-element list (Ab, aB, AB) of subset sizes, e.g.:
venn2(subsets = (3, 2, 1))
and draw a two-circle venn diagram with respective region areas. In the particular example, the region, corresponding to subset A and not B will be three times larger in area than the region, corresponding to subset A and B.
Similarly, the functions venn3 and venn3_circles take a 7-element list of subset sizes (Abc, aBc, ABc, abC, AbC, aBC, ABC), and draw a three-circle area-weighted venn diagram.
The functions venn2_circles and venn3_circles draw just the circles, whereas the functions venn2 and venn3 draw the diagrams as a collection of colored patches, annotated with text labels.
Note that for a three-circle venn diagram it is not in general possible to achieve exact correspondence between the required set sizes and region areas, however in most cases the picture will still provide a decent indication.
The functions venn2_circles and venn3_circles return the list of matplotlib.patch.Circle objects that may be tuned further to your liking. The functions venn2 and venn3 return an object of class Venn2 or Venn3 respectively, which gives access to constituent patches and text elements.
from matplotlib_venn import venn2 venn2(subsets = (3, 2, 1))
For the three-circle case:
from matplotlib_venn import venn3 venn3(subsets = (1, 1, 1, 2, 1, 2, 2), set_labels = ('Set1', 'Set2', 'Set3'))
A more elaborate example:
from matplotlib import pyplot as plt import numpy as np from matplotlib_venn import venn3, venn3_circles plt.figure(figsize=(4,4)) v = venn3(subsets=(1, 1, 1, 1, 1, 1, 1), set_labels = ('A', 'B', 'C')) v.get_patch_by_id('100').set_alpha(1.0) v.get_patch_by_id('100').set_color('white') v.get_label_by_id('100').set_text('Unknown') v.get_label_by_id('A').set_text('Set "A"') c = venn3_circles(subsets=(1, 1, 1, 1, 1, 1, 1), linestyle='dashed') c.set_lw(1.0) c.set_ls('dotted') plt.title("Sample Venn diagram") plt.annotate('Unknown set', xy=v.get_label_by_id('100').get_position() - np.array([0, 0.05]), xytext=(-70,-70), ha='center', textcoords='offset points', bbox=dict(boxstyle='round,pad=0.5', fc='gray', alpha=0.1), arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0.5',color='gray')) plt.show()
- Blog post: http://fouryears.eu/2012/10/13/venn-diagrams-in-python/
- Report issues and submit fixes at Github: https://github.com/konstantint/matplotlib-venn