File size: 1,499 Bytes
d323f57 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | import numpy as np
import matplotlib.pyplot as plt
# ── Parameters ─────────────────────────────────────────────────────────────
seed = 1907
size = 42
colormap = "viridis"
n_blobs = 3
# ── Data ────────────────────────────────────────────────────────────────────
x = np.linspace(-3.0, 3.0, size)
y = np.linspace(-2.0, 4.0, size)
X, Y = np.meshgrid(x, y)
Z = np.zeros((size, size))
Z += 0.592669 * np.exp(
-((X - 1.216654)**2 / (2 * 1.417214**2)
+ (Y - -0.698115)**2 / (2 * 1.244495**2))
)
Z += 1.383131 * np.exp(
-((X - 0.968027)**2 / (2 * 0.864172**2)
+ (Y - 0.815769)**2 / (2 * 1.395209**2))
)
Z += 1.402953 * np.exp(
-((X - 1.965273)**2 / (2 * 0.779246**2)
+ (Y - 1.011683)**2 / (2 * 1.077274**2))
)
# ── Plot ────────────────────────────────────────────────────────────────────
fig, ax = plt.subplots(figsize=(6, 5))
im = ax.pcolormesh(X, Y, Z, cmap=colormap, shading="auto")
fig.colorbar(im, ax=ax, label="Intensity")
ax.set_title(f"Gaussian Heatmap ({n_blobs} blob(s))")
ax.set_xlabel("X")
ax.set_ylabel("Y")
fig.tight_layout()
plt.show()
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