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import bokeh
bokeh.load_notebook()


    

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from collections import OrderedDict

import numpy as np

from bokeh.charts import BoxPlot
from bokeh.sampledata.olympics2014 import data

data = {d['abbr']: d['medals'] for d in data['data'] if d['medals']['total'] > 0}

countries = sorted(data.keys(), key=lambda x: data[x]['total'], reverse=True)

gold = np.array([data[abbr]['gold'] for abbr in countries], dtype=np.float)
silver = np.array([data[abbr]['silver'] for abbr in countries], dtype=np.float)
bronze = np.array([data[abbr]['bronze'] for abbr in countries], dtype=np.float)

medals = OrderedDict(bronze=bronze, silver=silver, gold=gold, fake=gold)

boxplot = BoxPlot(medals, title="boxplot, dict_input", xlabel="medal type", ylabel="medal count", 
             width=800, height=600, notebook=True, marker="circle", outliers=True)
boxplot.show()


    

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from bokeh.plotting import output_notebook, show
boxplot = BoxPlot(medals, title="boxplot, dict_input", xlabel="medal type", ylabel="medal count", 
             width=800, height=600, notebook=True, marker="circle", outliers=False)
output_notebook()
show(boxplot)


    

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