{"spec_id":"bubble-basic","library":"plotnine","language":"python","code":"\"\"\" anyplot.ai\nbubble-basic: Basic Bubble Chart\nLibrary: plotnine 0.15.4 | Python 3.13.13\nQuality: 86/100 | Updated: 2026-05-28\n\"\"\"\n\nimport os\n\nimport numpy as np\nimport pandas as pd\nfrom plotnine import (\n    aes,\n    element_blank,\n    element_line,\n    element_rect,\n    element_text,\n    geom_point,\n    geom_smooth,\n    ggplot,\n    labs,\n    scale_color_manual,\n    scale_size_area,\n    scale_x_continuous,\n    scale_y_continuous,\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\"\nANYPLOT_PALETTE = [\"#009E73\", \"#C475FD\", \"#4467A3\", \"#BD8233\", \"#AE3030\", \"#2ABCCD\", \"#954477\", \"#99B314\"]\n\n# Data — countries across 4 regions: GDP per capita, life expectancy, population\nnp.random.seed(42)\n\nregions = [\"Asia-Pacific\", \"Europe\", \"Americas\", \"Middle East & Africa\"]\nregion_params = {\n    \"Asia-Pacific\": {\"n\": 10, \"gdp_mean\": 25, \"gdp_std\": 18, \"le_base\": 72, \"pop_mean\": 3.2},\n    \"Europe\": {\"n\": 10, \"gdp_mean\": 45, \"gdp_std\": 15, \"le_base\": 78, \"pop_mean\": 2.0},\n    \"Americas\": {\"n\": 10, \"gdp_mean\": 30, \"gdp_std\": 20, \"le_base\": 70, \"pop_mean\": 2.8},\n    \"Middle East & Africa\": {\"n\": 10, \"gdp_mean\": 12, \"gdp_std\": 10, \"le_base\": 62, \"pop_mean\": 2.5},\n}\n\nrows = []\nfor region, p in region_params.items():\n    gdp = np.abs(np.random.normal(p[\"gdp_mean\"], p[\"gdp_std\"], p[\"n\"]))\n    gdp = np.clip(gdp, 3, 85)\n    le = p[\"le_base\"] + 0.15 * gdp + np.random.normal(0, 2.5, p[\"n\"])\n    le = np.clip(le, 52, 88)\n    pop = np.random.lognormal(mean=p[\"pop_mean\"], sigma=0.8, size=p[\"n\"])\n    for i in range(p[\"n\"]):\n        rows.append({\"gdp_per_capita\": gdp[i], \"life_expectancy\": le[i], \"population\": pop[i], \"region\": region})\n\ndf = pd.DataFrame(rows)\ndf[\"region\"] = pd.Categorical(df[\"region\"], categories=regions, ordered=True)\n\n# Plot\nplot = (\n    ggplot(df, aes(x=\"gdp_per_capita\", y=\"life_expectancy\", size=\"population\", color=\"region\"))\n    + geom_smooth(\n        aes(x=\"gdp_per_capita\", y=\"life_expectancy\"), method=\"lm\", se=False, color=INK_SOFT, size=0.7, inherit_aes=False\n    )\n    + geom_point(alpha=0.65, stroke=0.4)\n    + scale_size_area(max_size=18, breaks=[5, 25, 75], name=\"Population (M)\")\n    + scale_color_manual(values=ANYPLOT_PALETTE[:4], name=\"Region\")\n    + scale_x_continuous(labels=lambda lst: [f\"${v:.0f}k\" for v in lst], breaks=[10, 20, 30, 40, 50, 60, 70, 80])\n    + scale_y_continuous(labels=lambda lst: [f\"{v:.0f}\" for v in lst])\n    + labs(\n        x=\"GDP per Capita (USD thousands)\",\n        y=\"Life Expectancy (years)\",\n        title=\"bubble-basic · python · plotnine · anyplot.ai\",\n    )\n    + theme_minimal()\n    + theme(\n        figure_size=(8, 4.5),\n        text=element_text(size=7, color=INK_SOFT),\n        axis_title=element_text(size=10, color=INK),\n        axis_text=element_text(size=8, color=INK_SOFT),\n        plot_title=element_text(size=12, color=INK),\n        legend_title=element_text(size=8, color=INK),\n        legend_text=element_text(size=8, color=INK_SOFT),\n        legend_key=element_rect(fill=PAGE_BG, color=\"none\"),\n        legend_background=element_rect(fill=ELEVATED_BG, color=INK_SOFT),\n        panel_grid_major=element_line(color=INK, size=0.3, alpha=0.15),\n        panel_grid_major_x=element_blank(),\n        panel_grid_minor=element_blank(),\n        plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),\n        panel_background=element_rect(fill=PAGE_BG, color=\"none\"),\n        panel_border=element_blank(),\n        axis_line=element_line(color=INK_SOFT),\n    )\n)\n\n# Save\nplot.save(f\"plot-{THEME}.png\", dpi=400, width=8, height=4.5, units=\"in\", verbose=False)\n"}