Created
September 28, 2012 19:08
-
-
Save jml/3801583 to your computer and use it in GitHub Desktop.
Think Stats 1.4 -- high on functions
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from datetime import timedelta | |
from functools import partial, wraps | |
from itertools import ifilter, imap | |
from operator import attrgetter, not_ | |
import survey | |
def caller(method_name, *args, **kwargs): | |
def call_obj(obj): | |
return getattr(obj, method_name)(*args, **kwargs) | |
return call_obj | |
def counts(xs): | |
c = {} | |
for x in xs: | |
c.setdefault(x, 0) | |
c[x] += 1 | |
return c | |
def compose(*functions): | |
if not functions: | |
raise ValueError("Must specify functions to compose") | |
def composed(*args, **kwargs): | |
fs = list(functions) | |
y = fs.pop()(*args, **kwargs) | |
while fs: | |
f = fs.pop() | |
y = f(y) | |
return y | |
return composed | |
def wrap_result(wrapper): | |
return lambda f: wraps(f)(compose(wrapper, f)) | |
negate = wrap_result(not_) | |
odd = lambda x: x % 2 == 1 | |
even = negate(odd) | |
def on_items(f, d): | |
return compose(dict, f, caller('items'))(d) | |
def map_dict(f, d): | |
return on_items(partial(imap, f), d) | |
def filter_dict(p, d): | |
return on_items(partial(ifilter, p), d) | |
def map_keys(f, d): | |
return map_dict(lambda (k, v): (f(k), v), d) | |
def dichotomy(p, xs): | |
return ifilter(negate(p), xs), ifilter(p, xs) | |
OUTCOME_LABELS = { | |
1: 'LIVE BIRTH', | |
2: 'INDUCED ABORTION', | |
3: 'STILLBIRTH', | |
4: 'MISCARRIAGE', | |
5: 'ECTOPIC PREGNANCY', | |
6: 'CURRENT PREGNANCY', | |
} | |
get_pregnancy_lengths = partial(imap, attrgetter('prglength')) | |
def average(xs): | |
xs = list(xs) | |
if not xs: | |
return 'EMPTY' | |
return sum(xs) / float(len(xs)) | |
table = survey.Pregnancies() | |
table.ReadRecords() | |
print 'Number of pregnancies', len(table.records) | |
live_births = filter(lambda record: record.outcome == 1, table.records) | |
print 'Live births:', len(live_births) | |
rest, firstborns = dichotomy(lambda record: record.birthord == 1, live_births) | |
[rest, firstborns] = map(compose(average, get_pregnancy_lengths), [rest, firstborns]) | |
print 'Average pregnancy length (firstborns):', firstborns | |
print 'Average pregnancy length (others):', rest | |
print 'Difference:', timedelta(weeks=firstborns) - timedelta(weeks=rest) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment