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 It is being superseded by matplotlib_set_diagrams,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.
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.
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
Easiest via pip:
pip install matplotlib_venn_wordcloud- 0.2.6 Fixed bug that occurred due to numpy's deprecation of np.float