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from scitools.std import *
# data in two-dimensional array, the elements in a row form
# a cluster of bars, one cluster for each row:
data = array([[0.2, 1], [0.4, 0.8], [0.3, 0.6]])
figure()
bar(data,
barticks=['method1', 'method2', 'method3'],
legend=('optimized', 'standard'),
axis=[-1,data.shape[0], 0,1.2],
ylabel='normalized CPU-time',
title='Comparison of optimized vs. standard run')
# equivalent dictionary:
data = {'method1': {'optimized': 0.2, 'standard': 1},
'method2': {'optimized': 0.4, 'standard': 0.8},
'method3': {'optimized': 0.3, 'standard': 0.6},
}
figure()
bar(data)
raw_input("Press Return key to quit: ")
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