{"spec_id":"scatter-color-mapped","library":"bokeh","language":"python","code":"\"\"\" anyplot.ai\nscatter-color-mapped: Color-Mapped Scatter Plot\nLibrary: bokeh 3.9.0 | Python 3.13.13\nQuality: 89/100 | Updated: 2026-05-08\n\"\"\"\n\nimport os\nimport time\nfrom pathlib import Path\n\nimport numpy as np\nfrom bokeh.io import output_file, save\nfrom bokeh.models import ColorBar, ColumnDataSource, HoverTool, LinearColorMapper\nfrom bokeh.palettes import Viridis256\nfrom bokeh.plotting import figure\nfrom bokeh.transform import linear_cmap\nfrom selenium import webdriver\nfrom selenium.webdriver.chrome.options import Options\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# Data\nnp.random.seed(42)\nn_points = 150\nx = np.random.randn(n_points) * 10 + 50\ny = 0.6 * x + np.random.randn(n_points) * 8 + 20\nintensity = np.sqrt((x - 50) ** 2 + (y - 50) ** 2) + np.random.randn(n_points) * 3\n\nsource = ColumnDataSource(data={\"x\": x, \"y\": y, \"intensity\": intensity})\n\n# Create color mapper\ncolor_mapper = LinearColorMapper(palette=Viridis256, low=intensity.min(), high=intensity.max())\n\n# Create figure (4800 x 2700 px)\np = figure(\n    width=4800,\n    height=2700,\n    title=\"scatter-color-mapped · bokeh · anyplot.ai\",\n    x_axis_label=\"X Coordinate (units)\",\n    y_axis_label=\"Y Coordinate (units)\",\n)\n\n# Add HoverTool for interactivity\nhover = HoverTool(tooltips=[(\"X\", \"@x{0.00}\"), (\"Y\", \"@y{0.00}\"), (\"Intensity\", \"@intensity{0.00}\")])\np.add_tools(hover)\n\n# Plot scatter with color mapping\np.scatter(\n    x=\"x\",\n    y=\"y\",\n    source=source,\n    size=35,\n    fill_color=linear_cmap(\"intensity\", palette=Viridis256, low=intensity.min(), high=intensity.max()),\n    line_color=None,\n    fill_alpha=0.8,\n)\n\n# Add colorbar\ncolor_bar = ColorBar(\n    color_mapper=color_mapper,\n    title=\"Intensity (magnitude)\",\n    title_text_font_size=\"22pt\",\n    title_standoff=20,\n    major_label_text_font_size=\"18pt\",\n    label_standoff=12,\n    width=50,\n    padding=40,\n)\np.add_layout(color_bar, \"right\")\n\n# Styling for large canvas\np.title.text_font_size = \"28pt\"\np.title.text_color = INK\np.xaxis.axis_label_text_font_size = \"22pt\"\np.yaxis.axis_label_text_font_size = \"22pt\"\np.xaxis.axis_label_text_color = INK\np.yaxis.axis_label_text_color = INK\np.xaxis.major_label_text_font_size = \"18pt\"\np.yaxis.major_label_text_font_size = \"18pt\"\np.xaxis.major_label_text_color = INK_SOFT\np.yaxis.major_label_text_color = INK_SOFT\n\n# Grid styling\np.grid.grid_line_color = INK\np.grid.grid_line_alpha = 0.10\np.xaxis.axis_line_color = INK_SOFT\np.yaxis.axis_line_color = INK_SOFT\np.xaxis.major_tick_line_color = INK_SOFT\np.yaxis.major_tick_line_color = INK_SOFT\n\n# Background\np.background_fill_color = PAGE_BG\np.border_fill_color = PAGE_BG\np.outline_line_color = INK_SOFT\n\n# Legend styling\nif p.legend:\n    p.legend.background_fill_color = ELEVATED_BG\n    p.legend.border_line_color = INK_SOFT\n    p.legend.label_text_color = INK_SOFT\n\n# Save HTML\noutput_file(f\"plot-{THEME}.html\")\nsave(p)\n\n# Screenshot with Selenium\nW, H = 4800, 2700\nopts = Options()\nfor arg in (\n    \"--headless=new\",\n    \"--no-sandbox\",\n    \"--disable-dev-shm-usage\",\n    \"--disable-gpu\",\n    f\"--window-size={W},{H}\",\n    \"--hide-scrollbars\",\n):\n    opts.add_argument(arg)\n\ndriver = webdriver.Chrome(options=opts)\ndriver.set_window_size(W, H)\ndriver.get(f\"file://{Path(f'plot-{THEME}.html').resolve()}\")\ntime.sleep(3)\ndriver.save_screenshot(f\"plot-{THEME}.png\")\ndriver.quit()\n"}