As of its release in mid-2021, Bokeh 2.3.3 was the most stable patch in the 2.x series. Today, it remains a critical reference point for several reasons:
: Fixed bad formatting of y-axis labels when using themes and corrected a bug where a plot's height could not go below 600px. bokeh 2.3.3
: Connects front-end browser events to back-end Python code for real-time data streaming and complex computations. Setting Up Your Environment As of its release in mid-2021, Bokeh 2
You can organize your visualizations using three primary layout functions: row() : Places plots horizontally. column() : Places plots vertically. Setting Up Your Environment You can organize your
In software development, the latest version is not always the one running in production. Version 2.3.3 represents a highly stable, dependable release within the 2.x branch. Understanding Bokeh 2.3.3 is essential for several reasons:
Fixed inconsistencies in how Div models were rendered.
p.line('date', 'price', source=source, legend_label="Price", color="navy", alpha=0.7) p.line('date', 'moving_avg', source=source, legend_label="10-day MA", color="firebrick", line_width=2)