Bokeh 2.3.3 Fix ● 〈Free〉
5. Step-by-Step Implementation: Building a Line and Scatter Plot
gridplot() : Arranges plots in a structured matrix, automatically aligning their axes. Example: Creating a Grid Layout
If you're new to Bokeh, you can install it using pip or conda:
If you are working within an environment restricted to Bokeh 2.3.3, the syntax relies heavily on the bokeh.plotting API. Below is a comprehensive example demonstrating how to build an interactive scatter plot with tooltips, custom tools, and a linked data table. Step 1: Environment Setup To install this specific legacy version, use pip: pip install bokeh==2.3.3 Use code with caution. Step 2: Code Implementation bokeh 2.3.3
import numpy as np from bokeh.plotting import figure, show from bokeh.models import ColumnDataSource, HoverTool
Fixed a bug where plot heights could not be reduced below 600px.
: Older Jupyter notebook instances built for historical academic work or research archives continue to render perfectly with the 2.3.x engine. Below is a comprehensive example demonstrating how to
: This single line builds an interactive legend. Users can click the "Trend" or "Daily Log" legend labels in their browser to toggle the visibility of those specific data points.
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
Bokeh compiles the Python objects into a JSON format. The client-side JavaScript library, BokehJS , reads this JSON and renders the interactive visuals in the browser. : Older Jupyter notebook instances built for historical
from bokeh.plotting import figure, output_file, show from bokeh.models import HoverTool
If you're starting a new project today, should you use Bokeh 2.3.3 or jump to Bokeh 3.4+? Here’s a decision matrix:
columns = [ TableColumn(field="date", title="Date", formatter="datetime"), TableColumn(field="price", title="Price ($)"), TableColumn(field="volume", title="Volume") ] data_table = DataTable(source=source, columns=columns, width=400, height=400)
If you would like to proceed with configuring this library, tell me:
