Welcome, guest | Sign In | My Account | Store | Cart

Notice! PyPM is being replaced with the ActiveState Platform, which enhances PyPM’s build and deploy capabilities. Create your free Platform account to download ActivePython or customize Python with the packages you require and get automatic updates.

pypm install matplotlib-venn

How to install matplotlib-venn

  1. Download and install ActivePython
  2. Open Command Prompt
  3. Type pypm install matplotlib-venn
 Python 2.7Python 3.2Python 3.3
Windows (32-bit)
Windows (64-bit)
Mac OS X (10.5+)
Linux (32-bit)
0.6 Available View build log
0.3 Available View build log
0.2 Available View build log
Linux (64-bit)
0.6 Available View build log
0.3 Available View build log
0.2 Available View build log
Depended by
Lastest release
version 0.6 on Jun 24th, 2013

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.

Basic Example:

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
v = venn3(subsets=(1, 1, 1, 1, 1, 1, 1), set_labels = ('A', 'B', 'C'))
v.get_label_by_id('A').set_text('Set "A"')
c = venn3_circles(subsets=(1, 1, 1, 1, 1, 1, 1), linestyle='dashed')
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'))

Subscribe to package updates

Last updated Jun 24th, 2013

Download Stats

Last month:1

What does the lock icon mean?

Builds marked with a lock icon are only available via PyPM to users with a current ActivePython Business Edition subscription.

Need custom builds or support?

ActivePython Enterprise Edition guarantees priority access to technical support, indemnification, expert consulting and quality-assured language builds.

Plan on re-distributing ActivePython?

Get re-distribution rights and eliminate legal risks with ActivePython OEM Edition.