Bokeh 2.3.3 [extra Quality] Now

conda install bokeh==2.3.3

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

Here's a simple example to create a line plot using Bokeh: conda install bokeh==2

# Create a new plot with a title and axis labels p = figure(title="simple line example", x_axis_label='x', y_axis_label='y') Step 2: Code Implementation Here's a simple example

: Bokeh 2.3.x supports rendering mathematical notation (LaTeX) via MathJax through the MathText model.

July 9, 2021 Type: Patch Release Previous Version: 2.3.2 Next Version: 2.3.4

hover = HoverTool(renderers=[circles], tooltips=[ ("Date", "@date%F"), ("Price", "@price0.00"), ("Volume", "@volume0,0") ], formatters="@date": "datetime") p.add_tools(hover)