{"spec_id":"frequency-polygon-basic","library":"plotnine","language":"python","code":"\"\"\" anyplot.ai\nfrequency-polygon-basic: Frequency Polygon for Distribution Comparison\nLibrary: plotnine 0.15.4 | Python 3.13.13\nQuality: 87/100 | Updated: 2026-05-17\n\"\"\"\n\nimport os\n\nimport numpy as np\nimport pandas as pd\nfrom plotnine import (\n    aes,\n    element_line,\n    element_rect,\n    element_text,\n    geom_freqpoly,\n    ggplot,\n    labs,\n    scale_color_manual,\n    theme,\n    theme_minimal,\n)\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\"\n\n# Okabe-Ito palette\nIMPRINT = [\"#009E73\", \"#C475FD\", \"#4467A3\"]\n\n# Data - Response times by experimental condition\nnp.random.seed(42)\n\n# Three experimental conditions with different distributions\ncontrol = np.random.normal(loc=450, scale=80, size=200)\ntreatment_a = np.random.normal(loc=380, scale=60, size=200)\ntreatment_b = np.random.normal(loc=420, scale=100, size=200)\n\n# Combine into DataFrame\ndf = pd.DataFrame(\n    {\n        \"response_time\": np.concatenate([control, treatment_a, treatment_b]),\n        \"condition\": [\"Control\"] * 200 + [\"Treatment A\"] * 200 + [\"Treatment B\"] * 200,\n    }\n)\n\n# Custom theme with theme-adaptive chrome\nanyplot_theme = theme(\n    figure_size=(16, 9),\n    text=element_text(size=14),\n    axis_title=element_text(size=20, color=INK),\n    axis_text=element_text(size=16, color=INK_SOFT),\n    plot_title=element_text(size=24, color=INK),\n    plot_background=element_rect(fill=PAGE_BG, color=None),\n    panel_background=element_rect(fill=PAGE_BG, color=None),\n    panel_grid_major=element_line(color=INK, size=0.3, alpha=0.15),\n    panel_grid_minor=element_line(color=INK, size=0.2, alpha=0.05),\n    panel_border=element_rect(color=INK_SOFT, fill=None, size=0.4),\n    axis_line=element_line(color=INK_SOFT, size=0.3),\n    legend_background=element_rect(fill=ELEVATED_BG, color=INK_SOFT),\n    legend_text=element_text(size=16, color=INK_SOFT),\n    legend_title=element_text(size=18, color=INK),\n    legend_position=\"right\",\n)\n\n# Plot - Frequency polygon comparing distributions\nplot = (\n    ggplot(df, aes(x=\"response_time\", color=\"condition\"))\n    + geom_freqpoly(size=2, bins=25, alpha=0.9)\n    + scale_color_manual(values=IMPRINT)\n    + labs(\n        x=\"Response Time (ms)\",\n        y=\"Frequency\",\n        title=\"frequency-polygon-basic · plotnine · anyplot.ai\",\n        color=\"Condition\",\n    )\n    + theme_minimal()\n    + anyplot_theme\n)\n\n# Save\nplot.save(f\"plot-{THEME}.png\", dpi=300, verbose=False)\n"}