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Vector-based-images

We created vectors to produce Drosophila embryo, larval, head and testes images Steps: import matplotlib.pyplot as plt from matplotlib.patches import Ellipse, Circle, Polygon, PathPatch import matplotlib.patches as patches import numpy as np from matplotlib.path import Path

Set up the plot

fig, ax = plt.subplots()

Example 1: Simple ellipse with dots

ellipse = Ellipse((0.2, 0.8), width=0.2, height=0.4, edgecolor='black', facecolor='none') ax.add_patch(ellipse)

Adding dots inside the ellipse

dot_positions = [(0.18, 0.75), (0.22, 0.85), (0.24, 0.78), (0.20, 0.70)] for pos in dot_positions: ax.add_patch(Circle(pos, 0.02, color='black'))

Example 2: Detailed ellipse with circles inside the edge

ellipse2 = Ellipse((0.4, 0.8), width=0.2, height=0.4, edgecolor='black', facecolor='none') ax.add_patch(ellipse2)

Adding a series of circles around the edge

num_circles = 15 angles = np.linspace(0, 2 * np.pi, num_circles) for angle in angles: x = 0.4 + 0.1 * np.cos(angle) y = 0.8 + 0.2 * np.sin(angle) ax.add_patch(Circle((x, y), 0.02, edgecolor='black', facecolor='none'))

Example 3: Segmented form for fly larva

path_data = [ (Path.MOVETO, [0.6, 0.8]), (Path.LINETO, [0.65, 0.75]), (Path.LINETO, [0.7, 0.8]), (Path.CLOSEPOLY, [0.6, 0.8]) ] codes, verts = zip(*path_data) path = Path(verts, codes) patch = PathPatch(path, edgecolor='black', facecolor='none') ax.add_patch(patch)

Example 4: Worm-like structure

worm_x = [0.8, 0.82, 0.84, 0.86, 0.88] worm_y = [0.7, 0.72, 0.74, 0.72, 0.7] ax.plot(worm_x, worm_y, color='black', lw=2)

Example 5: Fly head (rough example using circles)

head = Circle((1.0, 0.8), 0.05, color='gray') eye1 = Circle((0.98, 0.82), 0.02, color='red') eye2 = Circle((1.02, 0.82), 0.02, color='red') ax.add_patch(head) ax.add_patch(eye1) ax.add_patch(eye2)

Example 6: Fly wings (symmetrical pattern)

left_wing = Polygon([[1.1, 0.75], [1.15, 0.8], [1.1, 0.85]], closed=True, edgecolor='black', facecolor='gray') right_wing = Polygon([[1.1, 0.75], [1.05, 0.8], [1.1, 0.85]], closed=True, edgecolor='black', facecolor='gray') ax.add_patch(left_wing) ax.add_patch(right_wing)

Set the axis limits

ax.set_xlim(0, 1.2) ax.set_ylim(0.6, 0.9)

Hide the axes

ax.set_axis_off()

Show plot

plt.show()