conda update bokeh
x = [1,2,3,4,5] y = [2,4,6,8,10] source = ColumnDataSource(data=dict(x=x, y=y)) bokeh 2.3.3
: If you're having trouble with plots not rendering on a private network, this post explains how to manually configure a Resources object to load BokehJS components without relying on external CDNs . Common Troubleshooting conda update bokeh x = [1,2,3,4,5] y =
p = figure(title="Bokeh 2.3.3 Example", x_axis_label="X", y_axis_label="Y") # Adding the median lines (the story's climax) p
# Create a sample dataset x = np.random.normal(size=100) y = np.random.normal(size=100)
You will see a fully interactive HTML document open in your browser. Notice how the hover tool works reliably, the table updates smoothly, and the WebGL backend (if you had thousands more points) would handle it gracefully—all thanks to the refinements of Bokeh 2.3.3.
# Adding the median lines (the story's climax) p.segment(x0=q2_2019, y0='2019 (Pre-Pandemic)', x1=q2_2019, y1='2019 (Pre-Pandemic)', line_width=4, color="red", line_dash="dashed") p.segment(x0=q2_2021, y0='2021 (Return)', x1=q2_2021, y1='2021 (Return)', line_width=4, color="red", line_dash="dashed")