Anaconda Enterprise: Documentation

# categorical_bar_nested_colormapped.py

    from bokeh.io import show, output_file
    from bokeh.models import ColumnDataSource, FactorRange
    from bokeh.plotting import figure
    from bokeh.transform import factor_cmap

    output_file("bars.html")

    fruits = ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries']
    years = ['2015', '2016', '2017']

    data = {'fruits' : fruits,
            '2015'   : [2, 1, 4, 3, 2, 4],
            '2016'   : [5, 3, 3, 2, 4, 6],
            '2017'   : [3, 2, 4, 4, 5, 3]}

    palette = ["#c9d9d3", "#718dbf", "#e84d60"]

    # this creates [ ("Apples", "2015"), ("Apples", "2016"), ("Apples", "2017"), ("Pears", "2015), ... ]
    x = [ (fruit, year) for fruit in fruits for year in years ]
    counts = sum(zip(data['2015'], data['2016'], data['2017']), ()) # like an hstack

    source = ColumnDataSource(data=dict(x=x, counts=counts))

    p = figure(x_range=FactorRange(*x), plot_height=250, title="Fruit Counts by Year",
               toolbar_location=None, tools="")

    p.vbar(x='x', top='counts', width=0.9, source=source, line_color="white",
           fill_color=factor_cmap('x', palette=palette, factors=years, start=1, end=2))

    p.y_range.start = 0
    p.x_range.range_padding = 0.1
    p.xaxis.major_label_orientation = 1
    p.xgrid.grid_line_color = None

    show(p)