File size: 1,501 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 = 1901
size = 27
colormap = "plasma"
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 += -1.909467 * np.exp(
-((X - 0.009287)**2 / (2 * 1.277628**2)
+ (Y - 2.744406)**2 / (2 * 0.629802**2))
)
Z += 0.714654 * np.exp(
-((X - -0.036967)**2 / (2 * 0.752310**2)
+ (Y - 2.230718)**2 / (2 * 1.069237**2))
)
Z += -1.857357 * np.exp(
-((X - -0.940575)**2 / (2 * 0.504185**2)
+ (Y - 0.917902)**2 / (2 * 0.508448**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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