{"spec_id":"histogram-2d","library":"bokeh","language":"python","code":"\"\"\" anyplot.ai\nhistogram-2d: 2D Histogram Heatmap\nLibrary: bokeh 3.9.0 | Python 3.13.13\nQuality: 88/100 | 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, HoverTool, LinearColorMapper\nfrom bokeh.palettes import Viridis256\nfrom bokeh.plotting import figure\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 - bivariate normal distribution of asset returns\nnp.random.seed(42)\nn_points = 5000\nmean = [0.5, 0.5]\ncov = [[1, 0.6], [0.6, 1]]  # Correlation of 0.6\ndata = np.random.multivariate_normal(mean, cov, n_points)\nreturns_asset1 = data[:, 0]  # Daily returns (%) for Tech stocks\nreturns_asset2 = data[:, 1]  # Daily returns (%) for Commodities\n\n# Compute 2D histogram\nbins = 35\nhist, x_edges, y_edges = np.histogram2d(returns_asset1, returns_asset2, bins=bins)\n\n# Create plot\np = figure(\n    width=4800,\n    height=2700,\n    title=\"histogram-2d · bokeh · anyplot.ai\",\n    x_axis_label=\"Tech Stock Returns (%)\",\n    y_axis_label=\"Commodity Returns (%)\",\n    x_range=(x_edges[0], x_edges[-1]),\n    y_range=(y_edges[0], y_edges[-1]),\n    toolbar_location=\"right\",\n    tools=\"pan,wheel_zoom,box_zoom,reset,save\",\n)\n\n# Color mapper for heatmap\ncolor_mapper = LinearColorMapper(palette=Viridis256, low=0, high=hist.max())\n\n# Create image glyph\np.image(\n    image=[hist.T],\n    x=x_edges[0],\n    y=y_edges[0],\n    dw=x_edges[-1] - x_edges[0],\n    dh=y_edges[-1] - y_edges[0],\n    color_mapper=color_mapper,\n)\n\n# Add HoverTool for interactivity\nhover = HoverTool(tooltips=[(\"Count\", \"@image\")])\np.add_tools(hover)\n\n# Add color bar\ncolor_bar = ColorBar(\n    color_mapper=color_mapper,\n    width=50,\n    location=(0, 0),\n    title=\"Frequency\",\n    title_text_font_size=\"22pt\",\n    major_label_text_font_size=\"18pt\",\n    title_standoff=15,\n)\np.add_layout(color_bar, \"right\")\n\n# Text sizing for 4800x2700 canvas\np.title.text_font_size = \"28pt\"\np.xaxis.axis_label_text_font_size = \"22pt\"\np.yaxis.axis_label_text_font_size = \"22pt\"\np.xaxis.major_label_text_font_size = \"18pt\"\np.yaxis.major_label_text_font_size = \"18pt\"\n\n# Theme-adaptive chrome styling\np.background_fill_color = PAGE_BG\np.border_fill_color = PAGE_BG\np.outline_line_color = INK_SOFT\n\np.title.text_color = INK\np.xaxis.axis_label_text_color = INK\np.yaxis.axis_label_text_color = INK\np.xaxis.major_label_text_color = INK_SOFT\np.yaxis.major_label_text_color = INK_SOFT\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\np.xgrid.grid_line_alpha = 0.0\np.ygrid.grid_line_alpha = 0.0\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)\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"}