Bokeh 2.3.3 //free\\ Today

Depending on whether you're talking about the data visualization library or the photography technique, here are two ways to frame your post: Option 1: For Developers (The Python Library) If you're highlighting Bokeh 2.3.3

| Problem | Fix | |---------|-----| | Jupyter plot not showing | Use output_notebook() before show() . | | HoverTool shows ??? | Ensure tooltips use field names matching ColumnDataSource columns. | | Layout breaks | Use sizing_mode="stretch_width" or "stretch_both" on top-level layout. | | Widgets not updating | Check that CustomJS uses source.change.emit() . | bokeh 2.3.3

data = dict(x=[1,2,3], y=[4,5,6], color=["red","green","blue"]) source = ColumnDataSource(data) Depending on whether you're talking about the data

In addition to the key features mentioned above, Bokeh 2.3.3 also introduces several new features, including: | | Layout breaks | Use sizing_mode="stretch_width" or

The hover tooltip in Bokeh 2.3.3 received patches for: