conda install bokeh=2.3.3
Version 2.3.3 is a patch-release, primarily intended to fix several layout and extension-related bugs that were present in previous versions. According to the official release notes, the key bug fixes in this version include resolving issues where a column ignored the CSS class scrollable, bad formatting of y-axis labels with certain themes, and a layout regression in panel. Additional fixes addressed Div model layout differences, ensuring the active tab is in view on render, plots having a height that could not go below 600px, and a dropdown menu being hidden in a multi-choice selection. The release also included updates for extensions to fetch the exact version from the CDN, along with other minor documentation, build, and bugfix updates.
: Built-in tools for zooming, panning, and hovering allow users to explore data dynamically. bokeh 2.3.3
is a highly targeted patch release in the 2.x lifecycle of the popular Python data visualization library Bokeh . Released to address critical layout regressions, UI alignment nuances, and Content Delivery Network (CDN) extension fetching mechanics, version 2.3.3 serves as a cornerstone of stability for enterprise systems running legacy 2.x environments.
The primary purpose of Bokeh is to bridge the gap between powerful Python data analysis and the interactive capabilities of modern web browsers. Unlike static plotting libraries, Bokeh produces JSON objects that are rendered by (a JavaScript library), allowing users to interact with data through zooms, pans, and hover tools without needing to write JavaScript themselves. Key Features and Capabilities conda install bokeh=2
: Be aware that the default step value for numeric inputs is 1, which may unexpectedly cast float inputs to integers. You must explicitly set step to a float (e.g., 0.1 ) to avoid this . Plots Not Rendering on Private Network - Bokeh Discourse
: Fixed a bug where dropdown menus were hidden in multi-choice widgets and ensured the active tab stays in view upon rendering. Key Features of the 2.3 Series The release also included updates for extensions to
: Updated extensions to fetch exact versions from the CDN to prevent version mismatch issues. Major Features from the 2.3.x Series
: It offers three layers of abstraction: the low-level bokeh.models for full control, the mid-level bokeh.plotting for standard glyphs, and high-level integration with tools like HoloViews .
Encodes data structures into JSON models to synchronise states cleanly between Python and JavaScript. BokehJS (Compiled TypeScript)
from bokeh.plotting import figure, show, output_file from bokeh.models import ColumnDataSource, BoxAnnotation from bokeh.io import curdoc from bokeh.layouts import gridplot import pandas as pd import numpy as np
