def plot_conditional_probabilities(firsts, others):
"""
Part 3 - plot conditional probabilities for firsts and others
For compatibility's sake, I'm limiting the range of weeks to the official
solution's range of 35-46.
"""
weeks = xrange(35, 46)
probabilities = {}
for table in firsts, others:
probabilities[table.pmf.name] = []
for week in weeks:
new_pmf = utils.remaining_lifetime(table.pmf, week)
probabilities[table.pmf.name].append(new_pmf.Prob(week))
for k, v in probabilities.iteritems():
pyplot.plot(weeks, v, label=k)
myplot.Save(root='2_7',
xlabel='weeks',
ylabel=r'Prob{x $=$ weeks | x $\geq$ weeks}',
title='Conditional Probability')
def plot_conditional_probabilities(firsts, others):
"""
Part 3 - plot conditional probabilities for firsts and others
For compatibility's sake, I'm limiting the range of weeks to the official
solution's range of 35-46.
"""
weeks = xrange(35, 46)
probabilities = {}
for table in firsts, others:
probabilities[table.pmf.name] = []
for week in weeks:
new_pmf = utils.remaining_lifetime(table.pmf, week)
probabilities[table.pmf.name].append(new_pmf.Prob(week))
for k, v in probabilities.iteritems():
pyplot.plot(weeks, v, label=k)
myplot.Save(root='2_7',
xlabel='weeks',
ylabel=r'Prob{x $=$ weeks | x $\geq$ weeks}',
title='Conditional Probability')
def _print_survival_analysis(week, table):
new_pmf = utils.remaining_lifetime(table.pmf, week)
print 'Probability that a live birth will be in Week {week_num} if not born '\
'prior to Week {week_num} ({label}):'.format(week_num=week, label=table.pmf.name),\
new_pmf.Prob(week)
def _print_survival_analysis(week, table):
new_pmf = utils.remaining_lifetime(table.pmf, week)
print 'Probability that a live birth will be in Week {week_num} if not born '\
'prior to Week {week_num} ({label}):'.format(week_num=week, label=table.pmf.name),\
new_pmf.Prob(week)
