def test_compare(self):
from geoid.acs import Tract
t1 = Tract.parse('14000US06001442800')
t2 = Tract.parse('14000US06037205110')
print(t1 < t2)
def test_compare(self):
from geoid.acs import Tract
t1 = Tract.parse('14000US06001442800')
t2 = Tract.parse('14000US06037205110')
print(t1 < t2)
def lookup(zip, n):
try:
# The map will return a Census geoid, which has 11 charasters, but it is often missing
# the leading 0, so we have to put it back. Then it much be converted to an
# ACS Tract
census_tract_str = str(f_map[int(zip)](int(n)%100 / 100.0)).zfill(11)
return str(AcsTract.parse(census_tract_str))
except KeyError:
return None
for row_n, was_geocoded, row in chunked_geocode(doc):
if not row.get('tract_geoid'):
row['tract_geoid'] = zip_to_tract(fac_zip[int(row['unique_id'])], int(row['unique_id']))
row['side_of_street'] = None
row['tiger_id'] = None
if row['tract_geoid']:
if len(row['tract_geoid']) != 18:
# It's probably still a Census Tract, so convert it to an Acs tract.
row['tract_geoid'] = str(CensusTract.parse(row['tract_geoid'].zfill(11)).convert(AcsTract))
assert(len(row['tract_geoid'])) == 18, row['tract_geoid']
t = AcsTract.parse(row['tract_geoid'])
#print(str(t), file=sys.stderr)
row['state_fips'] = t.state
row['county_fips'] = t.county
row['tract_fips'] = t.tract
if row.get('state_fips'):
row['state_fips'] = str(row['state_fips']).zfill(2)
if row.get('county_fips'):
row['county_fips'] = str(row.get('county_fips')).zfill(3)
try: