# bootsrapping explicitly
f, ax = subplots(ncols=3)
for axis in ax:
nuclear0 = nuclear.ix[np.random.choice(range(1, len(nuclear)+1), size=len(nuclear), replace=True)]
nuke_lm0 = ols('np.log(cost) ~ date', nuclear).fit()
axis.plot(nuclear0['date'], np.log(nuclear0['cost']), 'ok')
abline(axis, nuke_lm0.params['Intercept'], nuke_lm0.params['date'], 'r', linewidth=3)
f.set_size_inches(11, 3)
f.tight_layout();
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