Bokeh — 2.3.3
for interactions that don't require a Python server, allowing your plots to remain interactive even as standalone HTML files. Integration : Seamlessly works with Jupyter Notebooks by calling output_notebook() Bokeh documentation ⚠️ Version-Specific Warnings Python Compatibility
source = ColumnDataSource(data= 'date': dates, 'price': prices, 'volume': volume, 'moving_avg': pd.Series(prices).rolling(10).mean() )
conda install bokeh==2.3.3
dates = pd.date_range('2023-01-01', periods=200) prices = 100 + np.cumsum(np.random.randn(200).cumsum()) volume = np.random.randint(1000, 10000, 200) bokeh 2.3.3
# Create some data x = np.linspace(0, 4*np.pi, 100) y = np.sin(x)
: Use this to build applications where Python code reacts to browser events (like sliders or selections). You run these apps via the bokeh serve Interactions CustomJS callbacks
# Add a line glyph p.line(x, y, legend_label="sin(x)", line_width=2) for interactions that don't require a Python server,
Version 2.3.3 introduced or refined several critical features that were major updates at the time: Hatch Patterns
The figure object serves as the canvas for your visualization. It manages the plot's global properties, including titles, axis labels, scales, grid lines, and tool configurations.
You can organize your visualizations using three primary layout functions: row() : Places plots horizontally. column() : Places plots vertically. It manages the plot's global properties, including titles,
Even with a stable release, users occasionally encounter issues. Here are common ones and how to solve them:
Bokeh 2.3.3, released in July 2021, is a focused patch-release of the Bokeh interactive visualization library . While it isn't a major feature update, it serves as a critical maintenance release that addresses specific layout regressions and extension bugs identified in the broader 2.3.x series. Performance and Stability
: To follow many tutorial examples, you may need to download the companion datasets using: bokeh sampledata Bokeh documentation 💡 Core Architecture: How 2.3.3 Works Bokeh operates on a two-part system: Python Library