import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle

N = 10

data = np.arange(N**2).reshape((N, N)) % (N-1)

fig, axs = plt.subplots(3, 7, figsize=(10, 6), layout="tight")
axs = axs.flatten()
fig.set_facecolor("none")

blend_modes = ["clear", "source", "over", "in", "out", "atop",
               "xor", "plus",
               "multiply", "screen", "overlay", "darken", "lighten",
               "color_dodge", "color_burn", "hard_light", "soft_light",
               "difference", "exclusion"]

for i in range(len(axs)):
    axs[i].set_facecolor("none")
    axs[i].set_xlim(0, 1)
    axs[i].set_ylim(0, 1.5)
    axs[i].set_axis_off()

for i in range(len(blend_modes)):
    axs[i].imshow(data, cmap='Reds', extent=(0, 1, 0, 1))
    axs[i].imshow(data[::-1, :], cmap='Blues', extent=(0, 1, 0.5, 1.5), blend_mode=blend_modes[i])
    axs[i].text(0.25, 0.25, "Test", weight="bold", color="c", blend_mode=blend_modes[i])
    axs[i].plot([0, 1], [1.5, 0], color="y", blend_mode=blend_modes[i])

    rect = Rectangle((0, 1.5), 1, .3, facecolor='gray', clip_on=False)
    axs[i].add_artist(rect)
    axs[i].set_title(blend_modes[i])

plt.show()