{"spec_id":"radar-multi","library":"seaborn","language":"python","code":"\"\"\" anyplot.ai\nradar-multi: Multi-Series Radar Chart\nLibrary: seaborn 0.13.2 | Python 3.13.13\nQuality: 89/100 | Updated: 2026-05-07\n\"\"\"\n\nimport os\nimport sys\n\n\n# Remove current directory from path to avoid import shadowing\nif \"\" in sys.path:\n    sys.path.remove(\"\")\nif \".\" in sys.path:\n    sys.path.remove(\".\")\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport seaborn as sns\n\n\n# Theme tokens\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\"\nINK_MUTED = \"#6B6A63\" if THEME == \"light\" else \"#A8A79F\"\n\n# Okabe-Ito palette (first series always #009E73)\nIMPRINT = [\"#009E73\", \"#C475FD\", \"#4467A3\"]\n\n# Set seaborn theme with theme-adaptive colors\nsns.set_theme(\n    style=\"ticks\",\n    rc={\n        \"figure.facecolor\": PAGE_BG,\n        \"axes.facecolor\": PAGE_BG,\n        \"axes.edgecolor\": INK_SOFT,\n        \"axes.labelcolor\": INK,\n        \"text.color\": INK,\n        \"xtick.color\": INK_SOFT,\n        \"ytick.color\": INK_SOFT,\n        \"grid.color\": INK,\n        \"grid.alpha\": 0.10,\n        \"legend.facecolor\": ELEVATED_BG,\n        \"legend.edgecolor\": INK_SOFT,\n    },\n)\nsns.set_context(\"talk\", font_scale=1.2)\n\n# Data - Product comparison across quality dimensions\ncategories = [\"Performance\", \"Reliability\", \"Usability\", \"Features\", \"Support\", \"Value\"]\nn_categories = len(categories)\n\n# Three products with more dramatic variation to showcase radar strengths\nproducts = {\n    \"Product A\": [92, 88, 72, 78, 65, 90],\n    \"Product B\": [65, 70, 95, 88, 85, 60],\n    \"Product C\": [75, 58, 82, 65, 92, 72],\n}\n\n# Calculate angles for each axis\nangles = np.linspace(0, 2 * np.pi, n_categories, endpoint=False).tolist()\nangles += angles[:1]  # Close the polygon\n\n# Create figure with polar subplot (square format for radar)\nfig, ax = plt.subplots(figsize=(12, 12), subplot_kw={\"projection\": \"polar\"})\n\n# Plot each product series\nfor idx, (product_name, values) in enumerate(products.items()):\n    values_closed = values + values[:1]  # Close the polygon\n\n    # Fill with transparency\n    ax.fill(angles, values_closed, alpha=0.25, color=IMPRINT[idx], label=product_name)\n\n    # Outline with larger markers\n    ax.plot(angles, values_closed, \"o-\", linewidth=3, markersize=10, color=IMPRINT[idx])\n\n# Set category labels on each axis\nax.set_xticks(angles[:-1])\nax.set_xticklabels(categories, fontsize=18, color=INK)\n\n# Set radial ticks and limits\nax.set_ylim(0, 100)\nax.set_yticks([20, 40, 60, 80, 100])\nax.set_yticklabels([\"20\", \"40\", \"60\", \"80\", \"100\"], fontsize=14, color=INK_SOFT)\n\n# Style gridlines\nax.yaxis.grid(True, linestyle=\"--\", alpha=0.15, linewidth=0.8, color=INK)\nax.xaxis.grid(True, linestyle=\"-\", alpha=0.08, linewidth=0.8, color=INK)\n\n# Style spines\nfor spine in ax.spines.values():\n    spine.set_color(INK_SOFT)\n    spine.set_linewidth(1.5)\n\n# Add title\nax.set_title(\"radar-multi · seaborn · pyplots.ai\", fontsize=24, pad=30, fontweight=\"bold\", color=INK)\n\n# Add legend with theme-adaptive styling\nlegend = ax.legend(\n    loc=\"upper right\",\n    bbox_to_anchor=(1.15, 1.1),\n    fontsize=16,\n    framealpha=0.95,\n    facecolor=ELEVATED_BG,\n    edgecolor=INK_SOFT,\n)\nlegend.get_frame().set_linewidth(1)\n\nplt.tight_layout()\nplt.savefig(f\"plot-{THEME}.png\", dpi=300, bbox_inches=\"tight\", facecolor=PAGE_BG)\n"}