Bokeh 2.3.3 !!hot!! -

Bokeh 2.3.3: A Powerful Data Visualization Library

Regardless of the specific patch version, Bokeh continues to be a staple in the PyData ecosystem for several reasons: bokeh 2.3.3

• Displaying array-like data correctly (e.g., lists in a ColumnDataSource).
• Showing tooltips for stacked bar charts.
• Customizing tooltip appearance via CSS without strange overlaps.

• Added support for streaming data with the stream method.
• Introduced the BokehJS API for custom JavaScript extensions.

# We'll use a simplified aggregation for the box plot glyphs manually for this example # In a real scenario, you might use boxplot mod, but let's build it manually for the story effect q1_2019, q2_2019, q3_2019 = np.percentile(data_2019, [25, 50, 75]) q1_2021, q2_2021, q3_2021 = np.percentile(data_2021, [25, 50, 75])

Layout Fixes: Corrected issues where column CSS classes like scrollable were ignored and fixed layout regressions in the panel component. Bokeh 2