| import numpy as np | |
| import matplotlib.pyplot as plt | |
| # ── Parameters ───────────────────────────────────────────────────────────── | |
| seed = 1001 | |
| size = 47 | |
| colormap = "plasma" | |
| 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 += -1.445151 * np.exp( | |
| -((X - -1.937198)**2 / (2 * 1.357890**2) | |
| + (Y - -0.249242)**2 / (2 * 0.576199**2)) | |
| ) | |
| Z += -1.976175 * np.exp( | |
| -((X - -1.605751)**2 / (2 * 0.680245**2) | |
| + (Y - -0.391182)**2 / (2 * 0.631928**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() | |