Tune hvPlot dodged bars and harden the Bokeh webdriver lookup

Author: tdhopper

CLAUDE.md

@@ -95,6 +95,7 @@ All plots are rendered to static PNG images inside the executed notebook:
 - **Plotly**: `pio.renderers.default = "png"` with Kaleido (needs Chrome; `uv run kaleido_get_chrome`)
 - **Altair**: `alt.renderers.enable("png")` with vl-convert-python (set in the notebook's first cell — do not remove)
 - **R/ggplot2**: rpy2 against the system R installation (`%%R` cell magic)
+- **Lets-Plot** and **hvPlot/Bokeh**: an `image/png` IPython formatter registered in the notebook's first cell. Bokeh has no headless renderer, so hvPlot figures are screenshotted through Selenium driving the same Chrome for Testing build Kaleido downloads; Selenium Manager fetches the matching chromedriver on first use (needs network).
 
 ## Adding New Plots
 

Examples.ipynb

@@ -131,9 +131,10 @@
     "            from choreographer.browsers.chromium import Chromium\n",
     "\n",
     "            options.binary_location = str(Chromium.find_browser(skip_local=False))\n",
+    "            _bokeh_driver = Chrome(options=options)\n",
     "        except Exception:  # fall back to whatever Chrome is on the system\n",
-    "            pass\n",
-    "        _bokeh_driver = Chrome(options=options)\n",
+    "            options.binary_location = \"\"\n",
+    "            _bokeh_driver = Chrome(options=options)\n",
     "        atexit.register(_bokeh_driver.quit)\n",
     "    return _bokeh_driver\n",
     "\n",
@@ -2138,8 +2139,8 @@
     " .groupby([\"cut\", \"clarity\"])\n",
     " .size()\n",
     " .unstack()\n",
-    " .hvplot.bar(stacked=False, rot=45,\n",
-    "             legend=\"top_left\"))"
+    " .hvplot.bar(stacked=False, rot=90,\n",
+    "             fontscale=0.9))"
    ]
   },
   {