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from collections import OrderedDict
import numpy as np
import pandas as pd
from bokeh.plotting import figure, show, output_notebook
from bokeh.palettes import brewer


    

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N = 20
categories = ['y' + str(x) for x in range(10)]
data = {}
data['x'] = np.arange(N)
for cat in categories:
    data[cat] = np.random.randint(10, 100, size=N)


    

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df = pd.DataFrame(data)
df = df.set_index(['x'])


    

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def stacked(df, categories):
    areas = OrderedDict()
    last = np.zeros(len(df[categories[0]]))
    for cat in categories:
        next = last + df[cat]
        areas[cat] = np.hstack((last[::-1], next))
        last = next
    return areas


    

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areas = stacked(df, categories)
colors = brewer["Spectral"][len(areas)]
x2 = np.hstack((data['x'][::-1], data['x']))


    

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output_notebook()


    

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p = figure()
p.patches([x2 for a in areas], list(areas.values()), color=colors, alpha=0.8, line_color=None)


    

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show(p)


    

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