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

output_notebook()

defaults.width = 450
defaults.height = 350

box_plot = BoxPlot(df, label='cyl', values='mpg',
                   title="label='cyl', values='mpg'")
show(box_plot)

box_plot2 = BoxPlot(df, label=['cyl', 'origin'], values='mpg',
                    title="label=['cyl', 'origin'], values='mpg'")
show(box_plot2)

box_plot3 = BoxPlot(df, label='cyl', values='mpg', color='cyl',
                    title="label='cyl' values='mpg'")
show(box_plot3)

# use constant fill color
box_plot4 = BoxPlot(df, label='cyl', values='displ',
                    title="label='cyl' color='blue'",
                    color='blue')
show(box_plot4)

# color by one dimension and label by two dimensions
box_plot5 = BoxPlot(df, label=['cyl', 'origin'], values='mpg',
                    title="label=['cyl', 'origin'] color='cyl'",
                    color='cyl')
show(box_plot5)

# specify custom marker for outliers
box_plot6 = BoxPlot(df, label='cyl', values='mpg', marker='cross',
                    title="label='cyl', values='mpg', marker='cross'")
show(box_plot6)

# color whisker by cylinder
box_plot7 = BoxPlot(df, label='cyl', values='mpg', whisker_color='cyl',
                    title="label='cyl', values='mpg', whisker_color='cyl'")
show(box_plot7)

# remove outliers
box_plot8 = BoxPlot(df, label='cyl', values='mpg', outliers=False,
                    title="label='cyl', values='mpg', outliers=False")
show(box_plot8)