outcomes = {'roy':1, 'mary':0, 'anne':1}
data = {'roy': ['50to59', 'male', 'rx50111043303', 'dxN39.0', 'dxI50.9', 'px85025'],
        'mary': ['50to59', 'female', 'labCO2_NS', 'rx68180052001'],
        'anne': ['85+', 'female', 'labHDL', 'rx68180052001', 'pxV2025', 'px83721']}

import numpy as py
from sklearn.naive_bayes import GaussianNB

# (data as listed above)
clf = GaussianNB()
clf.fit(data, outcomes)

print('Finished!')