Highlighting selected subsets

Demonstrates use of the style_subsets method to mark some subsets as different.

from matplotlib import pyplot as plt
from upsetplot import generate_counts, UpSet

example = generate_counts()

Subsets can be styled by the categories present in them, and a legend can be optionally generated.

upset = UpSet(example)
upset.style_subsets(present=["cat1", "cat2"],
                    facecolor="blue",
                    label="special")
upset.plot()
plt.suptitle("Paint blue subsets including both cat1 and cat2; show a legend")
plt.show()
Paint blue subsets including both cat1 and cat2; show a legend

… or styling can be applied by the categories absent in a subset.

upset = UpSet(example, orientation="vertical")
upset.style_subsets(present="cat2", absent="cat1", edgecolor="red",
                    linewidth=2)
upset.plot()
plt.suptitle("Border for subsets including cat2 but not cat1")
plt.show()
Border for subsets including cat2 but not cat1

… or their size or degree.

upset = UpSet(example)
upset.style_subsets(min_subset_size=1000,
                    facecolor="lightblue", hatch="xx",
                    label="big")
upset.plot()
plt.suptitle("Hatch subsets with size >1000")
plt.show()
Hatch subsets with size >1000

Multiple stylings can be applied with different criteria in the same plot.

upset = UpSet(example, facecolor="gray")
upset.style_subsets(present="cat0", label="Contains cat0", facecolor="blue")
upset.style_subsets(present="cat1", label="Contains cat1", hatch="xx")
upset.style_subsets(present="cat2", label="Contains cat2", edgecolor="red")

# reduce legend size:
params = {'legend.fontsize': 8}
with plt.rc_context(params):
    upset.plot()
plt.suptitle("Styles for every category!")
plt.show()
Styles for every category!

Total running time of the script: ( 0 minutes 0.842 seconds)

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