Anaconda Enterprise: Documentation

# plotting_label.py

    from bokeh.plotting import figure, show, output_file
    from bokeh.models import ColumnDataSource, Range1d, LabelSet, Label

    output_file("label.html", title="label.py example")

    source = ColumnDataSource(data=dict(height=[66, 71, 72, 68, 58, 62],
                                        weight=[165, 189, 220, 141, 260, 174],
                                        names=['Mark', 'Amir', 'Matt', 'Greg',
                                               'Owen', 'Juan']))

    p = figure(title='Dist. of 10th Grade Students at Lee High',
               x_range=Range1d(140, 275))
    p.scatter(x='weight', y='height', size=8, source=source)
    p.xaxis[0].axis_label = 'Weight (lbs)'
    p.yaxis[0].axis_label = 'Height (in)'

    labels = LabelSet(x='weight', y='height', text='names', level='glyph',
                  x_offset=5, y_offset=5, source=source, render_mode='canvas')

    citation = Label(x=70, y=70, x_units='screen', y_units='screen',
                     text='Collected by Luke C. 2016-04-01', render_mode='css',
                     border_line_color='black', border_line_alpha=1.0,
                     background_fill_color='white', background_fill_alpha=1.0)

    p.add_layout(labels)
    p.add_layout(citation)

    show(p)