pyplot.plot(weeks, v, label=k)
myplot.Save(root='2_7',
xlabel='weeks',
ylabel=r'Prob{x $=$ weeks | x $\geq$ weeks}',
title='Conditional Probability')
# On first blush, this is really just another survival analysis problem. So
# we build a Pmf.Pmf for babies' births and use the same kind of analysis
# as we did for Exercise 2-4 using utils.remaining_lifetime.
if __name__ == '__main__':
data_dir = sys.argv[1]
table = survey.Pregnancies()
table.ReadRecords(data_dir)
firsts, others = partition_births(table)
descriptive.Process(firsts, 'firsts')
descriptive.Process(others, 'others')
# Part 1 - conditional probability that a baby will be born in week 39
# Relevant output from official code:
# 39 0.633693045564 first babies
# 39 0.715792395226 others
_print_survival_analysis(39, firsts)
_print_survival_analysis(39, others)
# Part 2 isn't really a meaningful task if we're right to just use
# the survival analysis approach. In that case, Part 1 was just a
# special use case. Let's demonstrate this.
def prob_in_weeks(pmf, start, end):
prob_sum = 0
for val, prob in pmf.Items():
if start <= val <= end:
prob_sum += prob
return prob_sum
prob_early = functools.partial(prob_in_weeks, start=0, end=37)
prob_on_time = functools.partial(prob_in_weeks, start=38, end=40)
prob_late = functools.partial(prob_in_weeks, start=41, end=1000000)
if __name__ == '__main__':
data_dir = sys.argv[1]
table = survey.Pregnancies()
table.ReadRecords(data_dir)
first_births, other_births = my_first.partition_births(table)
live_pmf = Pmf.MakePmfFromList([prg.prglength for prg in table.records])
first_pmf = Pmf.MakePmfFromList([prg.prglength for prg in first_births.records])
other_pmf = Pmf.MakePmfFromList([prg.prglength for prg in other_births.records])
prob_early_first = prob_early(first_pmf)
prob_early_other = prob_early(other_pmf)
print 'Early probability (all live):', prob_early(live_pmf) * 100
print 'Early probability (firsts):', prob_early_first * 100
print 'Early probability (others):', prob_early_other * 100
print 'Relative risk of being early (first vs. other):', prob_early_first / prob_early_other
print
prob_on_time_first = prob_on_time(first_pmf)
See README.md for more info.
"""
import sys
from my_first import partition_births
import survey
from thinkstats import Mean, Var
from utils import std_dev
if __name__ == '__main__':
data_dir = sys.argv[1]
table = survey.Pregnancies()
table.ReadRecords(data_dir)
firsts, others = partition_births(table)
firsts_gestation_lengths = list((p.prglength for p in firsts.records))
others_gestation_lengths = list((p.prglength for p in others.records))
for births in (firsts, others):
births_gestation_lengths = list((p.prglength for p in births.records))
births.mean = Mean(births_gestation_lengths)
births.variance = Var(births_gestation_lengths, births.mean)
births.std_dev = std_dev(births_gestation_lengths, births.mean, births.variance)
print 'The mean gestation time for firstborns is:', firsts.mean
print 'The mean gestation time for others is:', others.mean
print 'The gestation time variance for firstborns is:', firsts.variance
prob_sum = 0
for val, prob in pmf.Items():
if start <= val <= end:
prob_sum += prob
return prob_sum
prob_early = functools.partial(prob_in_weeks, start=0, end=37)
prob_on_time = functools.partial(prob_in_weeks, start=38, end=40)
prob_late = functools.partial(prob_in_weeks, start=41, end=1000000)
if __name__ == '__main__':
data_dir = sys.argv[1]
table = survey.Pregnancies()
table.ReadRecords(data_dir)
first_births, other_births = my_first.partition_births(table)
live_pmf = Pmf.MakePmfFromList([prg.prglength for prg in table.records])
first_pmf = Pmf.MakePmfFromList(
[prg.prglength for prg in first_births.records])
other_pmf = Pmf.MakePmfFromList(
[prg.prglength for prg in other_births.records])
prob_early_first = prob_early(first_pmf)
prob_early_other = prob_early(other_pmf)
print 'Early probability (all live):', prob_early(live_pmf) * 100
print 'Early probability (firsts):', prob_early_first * 100
print 'Early probability (others):', prob_early_other * 100
print 'Relative risk of being early (first vs. other):', prob_early_first / prob_early_other
print
