Design: Changing Plot Colors

This example illustrates use of matplotlib and upsetplot color settings, aside from matplotlib style sheets, which can control colors as well as grid lines, fonts and tick display.

Upsetplot provides some color settings:

• facecolor: sets the color for intersection size bars, and for active matrix dots. Defaults to white on a dark background, otherwise black.
• other_dots_color: sets the color for other (inactive) dots. Specify as a color, or a float specifying opacity relative to facecolor.
• shading_color: sets the color odd rows. Specify as a color, or a float specifying opacity relative to facecolor.

For an introduction to matplotlib theming see:

• Tutorial
• Reference

from matplotlib import pyplot as plt

from upsetplot import generate_counts, plot

example = generate_counts()

plot(example, facecolor="darkblue")
plt.suptitle('facecolor="darkblue"')
plt.show()

plot(example, facecolor="darkblue", shading_color="lightgray")
plt.suptitle('facecolor="darkblue", shading_color="lightgray"')
plt.show()

with plt.style.context("Solarize_Light2"):
    plot(example)
    plt.suptitle("matplotlib classic stylesheet")
    plt.show()

with plt.style.context("dark_background"):
    plot(example, show_counts=True)
    plt.suptitle("matplotlib dark_background stylesheet")
    plt.show()

with plt.style.context("dark_background"):
    plot(example, show_counts=True, shading_color=0.15)
    plt.suptitle("matplotlib dark_background stylesheet, shading_color=.15")
    plt.show()

with plt.style.context("dark_background"):
    plot(example, show_counts=True, facecolor="red")
    plt.suptitle('matplotlib dark_background, facecolor="red"')
    plt.show()

with plt.style.context("dark_background"):
    plot(
        example,
        show_counts=True,
        facecolor="red",
        other_dots_color=0.4,
        shading_color=0.2,
    )
    plt.suptitle("dark_background, red face, stronger other colors")
    plt.show()