pip install bokeh==2.3.3
This release focused entirely on stability and bug fixes . No new features were added. Key fixes included: bokeh 2.3.3
By following this guide, you'll be well on your way to creating stunning visualizations with Bokeh 2.3.3. Happy visualizing! pip install bokeh==2
def update(): new_data = dict(x=[source.data["x"][-1] + 1], y=[random()]) source.stream(new_data, rollover=20) Happy visualizing
The lead analyst pointed to the screen. "In 2019, the crowd was a background noise. In 2021, the data shows they became a physical force."
Using Bokeh 2.3.3, they wrote a script to visualize the intensity. They decided to use a combination of box plots and scatter points to show not just the average noise, but the outliers—those moments when the crowd truly erupted.
: Fixed a bug where extensions did not fetch the exact version from the CDN . Helpful Community Discussions