Using matplotlib’s axes.transData and get_sample_data, it’s possible to replace data markers with images, such as the poo emoji:
This is fun and silly, but it’s also important for accessibility for people with colorblindness or with shitty printers, like me.
axes.transData can transform x/y coordinates into the plot’s pixel location on the plot output. In order to then convert the pixel location to the figure’s 0.0-1.0 scale, divide by these locations by the size of the figure’s bounding box.
from os.path import join, dirname, abspath
from matplotlib import pyplot
from matplotlib.cbook import get_sample_data
from numpy import linspace
from numpy.core.umath import pi
from numpy.ma import sin
# poo-mark came from emojipedia:
# https://emojipedia-us.s3.amazonaws.com/thumbs/120/apple/96/pile-of-poo_1f4a9.png
poo_img = pyplot.imread(get_sample_data(join(dirname(abspath(__file__)), "poo-mark.png")))
x = linspace(0, 2*pi, num=10)
y = sin(x)
fig, ax = pyplot.subplots()
plot = ax.plot(x, y, linestyle="-")
ax_width = ax.get_window_extent().width
fig_width = fig.get_window_extent().width
fig_height = fig.get_window_extent().height
poo_size = ax_width/(fig_width*len(x))
poo_axs = [None for i in range(len(x))]
for i in range(len(x)):
loc = ax.transData.transform((x[i], y[i]))
poo_axs[i] = fig.add_axes([loc[0]/fig_width-poo_size/2, loc[1]/fig_height-poo_size/2,
poo_size, poo_size], anchor='C')
poo_axs[i].imshow(poo_img)
poo_axs[i].axis("off")
fig.savefig("poo_plot.png")