The core data structure in Bokeh 2.3.3. It acts as a key-value mapping between string column names and arrays of data, ensuring lightning-fast updates when linking plots or updating data via widgets.
Fixed an issue where the Column layout model ignored the scrollable CSS class, preventing the correct behavior of long lists and overflow UI elements. bokeh 2.3.3
x = [1, 2, 3, 4, 5] y = [6, 7, 2, 4, 5]
import numpy as np from bokeh.plotting import figure, show The core data structure in Bokeh 2
Released in July 2021, Bokeh 2.3.3 is a patch release focusing on fixing layout, extension, and widget-related bugs within the 2.x legacy branch. The update resolves issues with CSS scrolling, y-axis label formatting, and specifically addresses component rendering for Dropdown menus and plot constraints. For the full release notes, visit Bokeh 2.3.3 Documentation Bokeh documentation Releases — Bokeh 2.3.3 Documentation x = [1, 2, 3, 4, 5] y
Bokeh is an open-source library developed by the Bokeh Development Team, which allows users to create rich, interactive plots, dashboards, and data applications. Its primary goal is to provide a high-level interface for drawing plots, charts, and graphs, making it easy to generate web-based visualizations that can be shared and deployed across different platforms.
The following example showcases the structural layouts patched in 2.3.3. It features customized axis formats, explicit CSS class handling, and cleanly aligned HTML descriptive nodes integrated within an interactive grid: