from bokeh.io import show
from bokeh.layouts import column, row
from bokeh.models import ColorPicker
from bokeh.plotting import Figure

plot = Figure(x_range=(0, 1), y_range=(0, 1), plot_width=350, plot_height=350)
line = plot.line(x=(0,1), y=(0,1), color="red", line_width=4)

picker = ColorPicker(title="Line Color", color="red")
picker.js_link('color', line.glyph, 'line_color')

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Most items coming from questions on the community forum

• a proper multicategory bar example based on https://community.plotly.com/t/multicategory-axis-type-example/26392
• example of shape or annotation covering several subplots thanks to xref='paper'. Also the shapes and annotations tutorial should link to each other.
• orthographic projection example in 3d axes tutorial (or

Hello,
Considering your amazing efficiency on pandas, numpy, and more, it would seem to make sense for your module to work with even bigger data, such as Audio (for example .mp3 and .wav). This is something that would help a lot considering the nature audio (ie. where one of the lowest and most common sampling rates is still 44,100 samples/sec). For a use case, I would consider vaex.open('Hu