Deprecation notice

Development on this project has ended. It is being superseded by matplotlib_set_diagrams, which supports the creation of Euler and Venn diagrams for an arbitrary number of sets, implements a superior layout engine, and also improves on the previous word cloud generation.

matplotlib_venn_wordcloud

Plot a Venn diagram based on two sets of words. The words are plotted as a word cloud on top.

Depends on matplotlib-venn and wordcloud and their dependencies for the heavy lifting.

Example

from matplotlib_venn_wordcloud import venn2_wordcloud

test_string_1 = "Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua."

test_string_2 = "At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est. Lorem ipsum dolor sit amet."

# tokenize words (approximately at least):
sets = []
for string in [test_string_1, test_string_2]:

    # get a word list
    words = string.split(' ')

    # remove non alphanumeric characters
    words = [''.join(ch for ch in word if ch.isalnum()) for word in words]

    # convert to all lower case
    words = [word.lower() for word in words]

    sets.append(set(words))

# create visualisation
venn2_wordcloud(sets)

You can also run examples.py as main.

    python examples.py

Installation

Easiest via pip:

pip install matplotlib_venn_wordcloud

Recent changes

• 0.2.6 Fixed bug that occurred due to numpy's deprecation of np.float