chore(bokeh): add metadata for scatter-marginal

Author: github-actions[bot]

plots/scatter-marginal/implementations/python/bokeh.py

@@ -1,15 +1,29 @@
-""" pyplots.ai
+"""anyplot.ai
 scatter-marginal: Scatter Plot with Marginal Distributions
-Library: bokeh 3.8.1 | Python 3.13.11
-Quality: 91/100 | Created: 2025-12-26
+Library: bokeh | Python 3.13
+Quality: pending | Created: 2025-12-26
 """
 
+import os
+import time
+from pathlib import Path
+
 import numpy as np
-from bokeh.io import export_png
+from bokeh.io import output_file, save
 from bokeh.layouts import column, row
 from bokeh.models import ColumnDataSource
 from bokeh.plotting import figure
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+
 
+# Theme tokens
+THEME = os.getenv("ANYPLOT_THEME", "light")
+PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
+ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
+INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
+INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
+BRAND = "#009E73"  # Okabe-Ito position 1
 
 # Data - bivariate normal with correlation
 np.random.seed(42)
@@ -19,15 +33,10 @@
 
 source = ColumnDataSource(data={"x": x, "y": y})
 
-# Colors
-python_blue = "#306998"
-python_yellow = "#FFD43B"
-
 # Calculate dimensions for 4800x2700 total with marginal plots
-# Main scatter: ~80% of each dimension, marginals: ~20%
 main_width = 3800
 main_height = 2100
-marginal_width = 3800  # Same as main for alignment
+marginal_width = 3800
 marginal_height = 550
 side_marginal_width = 950
 side_marginal_height = 2100
@@ -41,84 +50,107 @@
 p_scatter = figure(
     width=main_width,
     height=main_height,
-    x_axis_label="X Value",
-    y_axis_label="Y Value",
-    title="scatter-marginal · bokeh · pyplots.ai",
+    x_axis_label="Height (cm)",
+    y_axis_label="Weight (kg)",
+    title="scatter-marginal · bokeh · anyplot.ai",
 )
 
-p_scatter.scatter(x="x", y="y", source=source, size=18, color=python_blue, alpha=0.65, line_color=None)
+p_scatter.scatter(x="x", y="y", source=source, size=20, color=BRAND, alpha=0.65, line_color=None)
 
 # Style main scatter
 p_scatter.title.text_font_size = "28pt"
+p_scatter.title.text_color = INK
 p_scatter.xaxis.axis_label_text_font_size = "22pt"
 p_scatter.yaxis.axis_label_text_font_size = "22pt"
+p_scatter.xaxis.axis_label_text_color = INK
+p_scatter.yaxis.axis_label_text_color = INK
 p_scatter.xaxis.major_label_text_font_size = "18pt"
 p_scatter.yaxis.major_label_text_font_size = "18pt"
-p_scatter.grid.grid_line_alpha = 0.3
-p_scatter.grid.grid_line_dash = [6, 4]
+p_scatter.xaxis.major_label_text_color = INK_SOFT
+p_scatter.yaxis.major_label_text_color = INK_SOFT
+p_scatter.xaxis.axis_line_color = INK_SOFT
+p_scatter.yaxis.axis_line_color = INK_SOFT
+p_scatter.xaxis.major_tick_line_color = INK_SOFT
+p_scatter.yaxis.major_tick_line_color = INK_SOFT
+p_scatter.background_fill_color = PAGE_BG
+p_scatter.border_fill_color = PAGE_BG
+p_scatter.outline_line_color = INK_SOFT
+p_scatter.grid.grid_line_color = INK
+p_scatter.grid.grid_line_alpha = 0.10
+p_scatter.toolbar_location = None
 
 # Top marginal histogram (X distribution)
-p_top = figure(
-    width=main_width,
-    height=marginal_height,
-    x_range=p_scatter.x_range,  # Align with scatter
-    title=None,
-)
-p_top.quad(
-    top=x_hist,
-    bottom=0,
-    left=x_edges[:-1],
-    right=x_edges[1:],
-    fill_color=python_yellow,
-    line_color=python_blue,
-    alpha=0.7,
-)
+p_top = figure(width=marginal_width, height=marginal_height, x_range=p_scatter.x_range, title=None)
+p_top.quad(top=x_hist, bottom=0, left=x_edges[:-1], right=x_edges[1:], fill_color=BRAND, line_color=None, alpha=0.6)
 p_top.xaxis.visible = False
 p_top.yaxis.axis_label = "Count"
 p_top.yaxis.axis_label_text_font_size = "18pt"
+p_top.yaxis.axis_label_text_color = INK
 p_top.yaxis.major_label_text_font_size = "14pt"
-p_top.grid.grid_line_alpha = 0.3
+p_top.yaxis.major_label_text_color = INK_SOFT
+p_top.yaxis.axis_line_color = INK_SOFT
+p_top.yaxis.major_tick_line_color = INK_SOFT
+p_top.background_fill_color = PAGE_BG
+p_top.border_fill_color = PAGE_BG
+p_top.outline_line_color = INK_SOFT
+p_top.grid.grid_line_color = INK
+p_top.grid.grid_line_alpha = 0.10
 p_top.min_border_bottom = 0
 p_top.min_border_left = p_scatter.min_border_left
+p_top.toolbar_location = None
 
 # Right marginal histogram (Y distribution)
-p_right = figure(
-    width=side_marginal_width,
-    height=main_height,
-    y_range=p_scatter.y_range,  # Align with scatter
-    title=None,
-)
-p_right.quad(
-    top=y_edges[1:],
-    bottom=y_edges[:-1],
-    left=0,
-    right=y_hist,
-    fill_color=python_yellow,
-    line_color=python_blue,
-    alpha=0.7,
-)
+p_right = figure(width=side_marginal_width, height=main_height, y_range=p_scatter.y_range, title=None)
+p_right.quad(top=y_edges[1:], bottom=y_edges[:-1], left=0, right=y_hist, fill_color=BRAND, line_color=None, alpha=0.6)
 p_right.yaxis.visible = False
 p_right.xaxis.axis_label = "Count"
 p_right.xaxis.axis_label_text_font_size = "18pt"
+p_right.xaxis.axis_label_text_color = INK
 p_right.xaxis.major_label_text_font_size = "14pt"
-p_right.grid.grid_line_alpha = 0.3
+p_right.xaxis.major_label_text_color = INK_SOFT
+p_right.xaxis.axis_line_color = INK_SOFT
+p_right.xaxis.major_tick_line_color = INK_SOFT
+p_right.background_fill_color = PAGE_BG
+p_right.border_fill_color = PAGE_BG
+p_right.outline_line_color = INK_SOFT
+p_right.grid.grid_line_color = INK
+p_right.grid.grid_line_alpha = 0.10
 p_right.min_border_left = 0
 p_right.min_border_bottom = p_scatter.min_border_bottom
+p_right.toolbar_location = None
 
 # Empty corner placeholder
 p_corner = figure(width=side_marginal_width, height=marginal_height, toolbar_location=None)
 p_corner.outline_line_color = None
 p_corner.xaxis.visible = False
 p_corner.yaxis.visible = False
 p_corner.grid.visible = False
+p_corner.background_fill_color = PAGE_BG
+p_corner.border_fill_color = PAGE_BG
 
-# Remove toolbars for clean look
-p_scatter.toolbar_location = None
-p_top.toolbar_location = None
-p_right.toolbar_location = None
-
-# Layout: top marginal + corner on top row, scatter + right marginal on bottom row
+# Layout
 layout = column(row(p_top, p_corner), row(p_scatter, p_right))
 
-# Save
-export_png(layout, filename="plot.png")
+# Save HTML
+output_file(f"plot-{THEME}.html")
+save(layout)
+
+# Screenshot with Selenium
+W, H = 4800, 2700
+opts = Options()
+for arg in (
+    "--headless=new",
+    "--no-sandbox",
+    "--disable-dev-shm-usage",
+    "--disable-gpu",
+    f"--window-size={W},{H}",
+    "--hide-scrollbars",
+):
+    opts.add_argument(arg)
+
+driver = webdriver.Chrome(options=opts)
+driver.set_window_size(W, H)
+driver.get(f"file://{Path(f'plot-{THEME}.html').resolve()}")
+time.sleep(3)
+driver.save_screenshot(f"plot-{THEME}.png")
+driver.quit()