consistent/data_visualization/sample_00060/spec.py

import numpy as np
import matplotlib.pyplot as plt

# ── Parameters ─────────────────────────────────────────────────────────────
seed      = 1909
size      = 34
colormap  = "inferno"
n_blobs   = 2

# ── 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 += -1.811477 * np.exp(
    -((X - 1.913968)**2 / (2 * 1.123902**2)
      + (Y - 1.897390)**2 / (2 * 1.075150**2))
)
Z += 1.836162 * np.exp(
    -((X - 0.490576)**2 / (2 * 1.139029**2)
      + (Y - 2.586806)**2 / (2 * 0.828708**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()