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from bokeh.charts import Bar, output_notebook, show, defaults
from bokeh.sampledata.autompg import autompg as df



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output_notebook()

Calculate some negative values to show handling of them



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df['neg_mpg'] = 0 - df['mpg']

Override some default values to avoid requiring input on each chart



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defaults.width = 550
defaults.height = 400

Create and show each bar chart



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bar_plot = Bar(df, label='cyl', title="label='cyl'")
show(bar_plot)



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bar_plot2 = Bar(df, label='cyl', bar_width=0.4, title="label='cyl' bar_width=0.4")
show(bar_plot2)



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bar_plot3 = Bar(df, label='cyl', values='mpg', agg='mean',
                title="label='cyl' values='mpg' agg='mean'")
show(bar_plot3)



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bar_plot4 = Bar(df, label='cyl', title="label='cyl' color='DimGray'", color='dimgray')
show(bar_plot4)



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# multiple columns
bar_plot5 = Bar(df, label=['cyl', 'origin'], values='mpg', agg='mean',
                title="label=['cyl', 'origin'] values='mpg' agg='mean'")
show(bar_plot5)



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bar_plot6 = Bar(df, label='origin', values='mpg', agg='mean', stack='cyl',
                title="label='origin' values='mpg' agg='mean' stack='cyl'", legend='top_right')
show(bar_plot6)



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bar_plot7 = Bar(df, label='cyl', values='displ', agg='mean', group='origin',
                title="label='cyl' values='displ' agg='mean' group='origin'", legend='top_right')
show(bar_plot7)



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bar_plot8 = Bar(df, label='cyl', values='neg_mpg', agg='mean', group='origin',
                color='origin', legend='top_right',
                title="label='cyl' values='neg_mpg' agg='mean' group='origin'")
show(bar_plot8)