import numpy as np
import pandas as pd
import holoviews as hv
hv.extension('bokeh')

data = [('one',8),('two', 10), ('three', 16), ('four', 8), ('five', 4), ('six', 1)]

bars = hv.Bars(data, hv.Dimension('Car occupants'), 'Count')

bars

bars[['one', 'two', 'three']] + bars[['four', 'five', 'six']]

occupants = hv.Dimension('Car occupants', values=['three', 'two', 'four', 'one', 'five', 'six'])

# or using .redim.values(**{'Car Occupants': ['three', 'two', 'four', 'one', 'five', 'six']})

hv.Bars(data, occupants, 'Count') 

samples = 100

pets = ['Cat', 'Dog', 'Hamster', 'Rabbit']
genders = ['Female', 'Male']

pets_sample = np.random.choice(pets, samples)
gender_sample = np.random.choice(genders, samples)
count = np.random.randint(1, 5, size=samples)

df = pd.DataFrame({'Pets': pets_sample, 'Gender': gender_sample, 'Count': count})
df.head(2)

bars = hv.Bars(df, kdims=['Pets', 'Gender']).aggregate(function=np.sum)

bars.opts(width=500)

bars.redim.values(Pets=pets, Gender=genders) + bars.sort()

bars.sort() + bars.clone().opts(multi_level=False)

bars.opts(stacked=True)