{"spec_id":"scatter-regression-lowess","library":"letsplot","language":"python","code":"\"\"\" anyplot.ai\nscatter-regression-lowess: Scatter Plot with LOWESS Regression\nLibrary: letsplot 4.9.0 | Python 3.13.13\nQuality: 91/100 | Updated: 2026-05-14\n\"\"\"\n\nimport os\n\nimport numpy as np\nimport pandas as pd\nfrom lets_plot import (\n    LetsPlot,\n    aes,\n    element_line,\n    element_rect,\n    element_text,\n    geom_point,\n    geom_smooth,\n    ggplot,\n    ggsave,\n    ggsize,\n    labs,\n    theme,\n    theme_minimal,\n)\n\n\nLetsPlot.setup_html()\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\nBRAND = \"#009E73\"  # Position 1 - for scatter points\nACCENT = \"#C475FD\"  # Position 2 - for LOWESS curve\n\n# Data - Complex non-linear relationship (plant growth vs temperature)\nnp.random.seed(42)\nn = 200\nx = np.linspace(5, 40, n)\ny = 15 + 8 * np.sin((x - 5) * np.pi / 35) + 3 * np.cos((x - 10) * np.pi / 15) + np.random.randn(n) * 2.5\ndf = pd.DataFrame({\"temperature\": x, \"growth_rate\": y})\n\n# Theme-adaptive styling\nanyplot_theme = theme(\n    plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),\n    panel_background=element_rect(fill=PAGE_BG),\n    panel_grid_major=element_line(color=INK, size=0.3),\n    panel_grid_minor=element_line(color=INK, size=0.2),\n    axis_title=element_text(color=INK, size=20),\n    axis_text=element_text(color=INK_SOFT, size=16),\n    axis_line=element_line(color=INK_SOFT, size=0.5),\n    plot_title=element_text(color=INK, size=24),\n    legend_background=element_rect(fill=ELEVATED_BG, color=INK_SOFT),\n    legend_text=element_text(color=INK_SOFT, size=16),\n    legend_title=element_text(color=INK),\n)\n\n# Plot\nplot = (\n    ggplot(df, aes(x=\"temperature\", y=\"growth_rate\"))\n    + geom_point(color=BRAND, size=4, alpha=0.6)\n    + geom_smooth(method=\"loess\", span=0.4, color=ACCENT, size=2.5, se=True, fill=ACCENT, alpha=0.15)\n    + labs(x=\"Temperature (°C)\", y=\"Growth Rate (cm/day)\", title=\"scatter-regression-lowess · letsplot · anyplot.ai\")\n    + theme_minimal()\n    + anyplot_theme\n    + ggsize(1600, 900)\n)\n\n# Save\nggsave(plot, f\"plot-{THEME}.png\", path=\".\", scale=3)\nggsave(plot, f\"plot-{THEME}.html\", path=\".\")\n"}