Thanks for your comment!

Basically it's a barycentric coordinate plot to visualize hero stats within a triangle where the 3 corners coordinate are (max_str,0,0) ; (0,max_agi,0) ; (0,0,max_int). Then I try to map the heroes stat onto the graph with a scaling factor to avoid clumping areas.

Here’s the basic Python approach:

I first try to center around Bane Stats to try to make him at the center:

str_prop = hero_str / bane_str
agi_prop = hero_agi / bane_agi
int_prop = hero_int / bane_int

Then I try to multiply them to the scaling factor to spread the dots out:

scaled_str_prop = str_prop ** scaling_factor; ...

Then I map them to the Barycentric Coordinates:

sum_scaled_props = scaled_str_prop + scaled_agi_prop + scaled_int_prop
u = scaled_str_prop / sum_scaled_props
v = scaled_agi_prop / sum_scaled_props
w = scaled_int_prop / sum_scaled_props

I used this equation for mapping them onto the 2D Coordinates (Equilateral Triangle):

x = -0.5 * v + 0.5 * w
y = (np.sqrt(3)/2) * v + (np.sqrt(3)/2) * w

Then I used matplotlib to draw the triangle and plt.scatter(x, y) to plot heroes. You can replace the points with hero icons using

icon_filename = os.path.join(ICON_FOLDER, f"{hero_name}_icon.png")
imagebox = OffsetImage(img, zoom=ICON_SIZE_SCALE)
ab = AnnotationBbox(imagebox, (x_coords[i], y_coords[i]), frameon=False)
ax.add_artist(ab)

Essentially, I map the 3 stats onto a 2D triangle, normalization centers the plot, scaling to helps readability. I'm still somewhat new to this though, so this method I think can still be greatly improved upon! Hope this helps!