{"spec_id":"histogram-2d","library":"matplotlib","language":"python","code":"\"\"\" anyplot.ai\nhistogram-2d: 2D Histogram Heatmap\nLibrary: matplotlib 3.10.9 | Python 3.13.13\nQuality: 83/100 | Updated: 2026-05-08\n\"\"\"\n\nimport os\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n\nTHEME = os.getenv(\"ANYPLOT_THEME\", \"light\")\nPAGE_BG = \"#FAF8F1\" if THEME == \"light\" else \"#1A1A17\"\nELEVATED_BG = \"#FFFDF6\" if THEME == \"light\" else \"#242420\"\nINK = \"#1A1A17\" if THEME == \"light\" else \"#F0EFE8\"\nINK_SOFT = \"#4A4A44\" if THEME == \"light\" else \"#B8B7B0\"\n\n# Data - bivariate normal with positive correlation\nnp.random.seed(42)\nn_points = 5000\nmean = [0, 0]\ncov = [[1, 0.7], [0.7, 1]]\ndata = np.random.multivariate_normal(mean, cov, n_points)\nx = data[:, 0]\ny = data[:, 1]\n\n# Plot\nfig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG)\nax.set_facecolor(PAGE_BG)\n\nh = ax.hist2d(x, y, bins=40, cmap=\"viridis\", cmin=1)\n\n# Colorbar\ncbar = fig.colorbar(h[3], ax=ax, pad=0.02)\ncbar.set_label(\"Frequency\", fontsize=20, color=INK)\ncbar.ax.tick_params(axis=\"y\", labelsize=16, colors=INK_SOFT)\n\n# Labels and styling\nax.set_xlabel(\"Feature X\", fontsize=20, color=INK)\nax.set_ylabel(\"Feature Y\", fontsize=20, color=INK)\nax.set_title(\"histogram-2d · matplotlib · anyplot.ai\", fontsize=24, fontweight=\"medium\", color=INK)\nax.tick_params(axis=\"both\", labelsize=16, colors=INK_SOFT)\n\n# Spines\nax.spines[\"top\"].set_visible(False)\nax.spines[\"right\"].set_visible(False)\nfor s in (\"left\", \"bottom\"):\n    ax.spines[s].set_color(INK_SOFT)\n\nplt.tight_layout()\nplt.savefig(f\"plot-{THEME}.png\", dpi=300, bbox_inches=\"tight\", facecolor=PAGE_BG)\n"}