Anaconda Enterprise: Documentation

# categorical_bar_pandas_groupby_nested.py

    from bokeh.io import show, output_file
    from bokeh.models import ColumnDataSource, HoverTool
    from bokeh.plotting import figure
    from bokeh.palettes import Spectral5
    from bokeh.sampledata.autompg import autompg_clean as df
    from bokeh.transform import factor_cmap

    output_file("bars.html")

    df.cyl = df.cyl.astype(str)
    df.yr = df.yr.astype(str)

    group = df.groupby(('cyl', 'mfr'))

    source = ColumnDataSource(group)
    index_cmap = factor_cmap('cyl_mfr', palette=Spectral5, factors=sorted(df.cyl.unique()), end=1)

    p = figure(plot_width=800, plot_height=300, title="Mean MPG by # Cylinders and Manufacturer",
               x_range=group, toolbar_location=None, tools="")

    p.vbar(x='cyl_mfr', top='mpg_mean', width=1, source=source,
           line_color="white", fill_color=index_cmap, )

    p.y_range.start = 0
    p.x_range.range_padding = 0.05
    p.xgrid.grid_line_color = None
    p.xaxis.axis_label = "Manufacturer grouped by # Cylinders"
    p.xaxis.major_label_orientation = 1.2
    p.outline_line_color = None

    p.add_tools(HoverTool(tooltips=[("MPG", "@mpg_mean"), ("Cyl, Mfr", "@cyl_mfr")]))

    show(p)