Bokeh 2.3.3 __full__ -

Some users complain that hover tooltips show ??? for special characters. : Explicitly set a css_classes property and define font-family in your own CSS file.

: Resolved an issue where Column layouts ignored the scrollable CSS class and fixed a layout regression specifically affecting Panel dashboards.

While 2.3.3 was an essential update for stability in its time, it has since been succeeded by the , which introduced major architectural changes, including improved CSS-based theming and performance upgrades. Releases — Bokeh 2.3.3 Documentation

You can target this specific version using the following command: pip install bokeh==2.3.3 Use code with caution. 2. Verification bokeh 2.3.3

from bokeh.plotting import figure, show

The story of Bokeh 2.3.3 is one of meticulous refinement rather than flashy new features. Released in

# Create some data x = np.linspace(0, 4*np.pi, 100) y = np.sin(x) Some users complain that hover tooltips show

To work with Bokeh 2.3.3 without running into dependency conflicts, it is best practice to install it inside a virtual environment. 1. Installation via Pip

For users at the time, Bokeh 2.3.3 was the recommended stable version to upgrade to if they had experienced issues with 2.3.0, 2.3.1, or 2.3.2. It represented the Bokeh team’s commitment to rapid bug-fixing after a feature release.

In a world chasing the newest features, Bokeh 2.3.3 stands as a testament to the value of stability. It offers a mature, bug-free interactive visualization engine that has been battle-tested in thousands of production dashboards, financial applications, and scientific research tools. For anyone maintaining systems that rely on the Bokeh 2.x API, this version is the definitive upgrade—the final polished gem before the paradigm shift of Bokeh 3.0. : Resolved an issue where Column layouts ignored

Here are a few examples of using Bokeh 2.3.3:

Bokeh 2.3.3 also includes several enhancements and bug fixes. Some of the notable enhancements include:

: Addressed a bug in the MultiChoice widget where the dropdown menu would remain hidden and ensured the active tab is correctly in view upon rendering.

: Built on a "layered glyph" system similar to ggplot's geoms, allowing users to build complex plots one layer at a time.