consistent/data_visualization/sample_00057/spec.py

import numpy as np
import matplotlib.pyplot as plt

# ── Parameters ─────────────────────────────────────────────────────────────
seed      = 1906
size      = 35
colormap  = "viridis"
n_blobs   = 1

# ── 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 += -1.478871 * np.exp(
    -((X - -0.752787)**2 / (2 * 1.151201**2)
      + (Y - -0.425881)**2 / (2 * 1.444369**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()