Bokeh | 2.3.3

Bokeh 2.3.3 is not just limited to simple plots. It's capable of creating complex dashboards and applications. Some advanced features and use cases include:

pip install bokeh==2.3.3

p = figure(title="Simple Line Example", x_axis_label='X-axis', y_axis_label='Y-axis', tools="pan,box_zoom,reset,save")

: It resolved a frustrating bug where columns would ignore CSS "scrollable" classes, making it easier for developers to build dense, interactive dashboards [3]. Visual Consistency : It corrected issues where bokeh 2.3.3

The Bokeh project is actively developed, with a clear vision for its future. Understanding this roadmap helps contextualize the role of older versions like 2.3.3.

The primary development objective for the 2.3.3 patch was optimizing the performance and presentation layers of , the client-side JavaScript library that handles browser-side rendering. 1. Resolution of CSS Scrollable Content Constraints

layout = column(slider, row(p1, p2)) curdoc().add_root(layout) Bokeh 2

A known behavior change in later versions of Bokeh affects the get_screenshot_as_png() function. In 2.3.3, the temporary file directory is not explicitly set, defaulting to a location accessible to the web driver. In newer versions, it defaults to os.getcwd() , which can be inaccessible in some environments. If you rely on this function, using 2.3.3 may be a workaround, but migrating to the latest version and adapting your code is the recommended long-term solution.

It creates complex, server-backed interactive dashboards.

from bokeh.plotting import figure, show from bokeh.io import output_notebook Visual Consistency : It corrected issues where The

def update(attr, old, new): threshold = slider.value filtered_y = [y_val if y_val > threshold else np.nan for y_val in y] source.data['y_filtered'] = filtered_y

Beyond basic plotting, Bokeh 2.3.3 excels in advanced scenarios that require real-time data handling, custom extensions, and sophisticated layouts.

Version 2.3.3 is an integral part of the Bokeh 2.x series, which was the foundation for later major releases. Understanding the evolution from the 2.x to the 3.x line is important for planning a migration path.