Bokeh 2.3.3

from bokeh.io import curdoc # Apply the dark minimal theme layout globally curdoc().theme = 'dark_minimal' Use code with caution. 7. Migration Notes: Bokeh 2.x vs. Bokeh 3.x

: Updated extensions to fetch exact versions from the CDN to prevent version mismatch issues. Major Features from the 2.3.x Series

The release notes for 2.3.3 highlight a series of targeted fixes that improved both the aesthetic and functional quality of Bokeh plots:

Let’s build a basic, interactive line plot using Bokeh's plotting interface. This script generates a standalone HTML file with built-in zoom and pan tools. bokeh 2.3.3

output_file("my_plot.html", title="My First Bokeh Plot")

This should output 2.3.3 .

Even with a stable release, you may occasionally encounter issues. Here's a guide to common problems and how to resolve them, along with strategies to keep your visualizations running smoothly. from bokeh

p2 = figure(title="Filtered Sine Wave", height=300, width=400) p2.circle('x', 'y_filtered', source=source, size=5, color="red", alpha=0.6)

show(p)

x = [1, 2, 3, 4, 5] y = [6, 7, 2, 4, 5]

Developers leveraging the Div model to seamlessly inject custom HTML blocks, inline explanatory text, or markdown blocks into grid layouts faced layout drifting between versions 2.2.3 and 2.3.0. Bokeh 2.3.3 standardized the calculation parameters of DOM layout containers, mitigating sudden gaps or unwanted element overlaps. Bokeh Architecture: Why Version 2.3.3 Matters

: Resolved issues where columns would ignore scrollable CSS classes and fixed layout differences in Div models.

The for 2.3.3 detail several critical bug fixes : Bokeh 3

To run this dashboard, save the script as dashboard.py and execute: