def test_meta_files(self):
acs_meta = ACSMeta()
self.failUnlessEqual(acs_meta.csv_column_for_matrix('B07401_001'), 6)
census_meta = CensusMeta('SF1')
self.failUnlessEqual(census_meta.csv_column_for_matrix('P001001'), 5)
census_meta = CensusMeta('SF3')
self.failUnlessEqual(census_meta.csv_column_for_matrix('P021001'), 171)
census_2010_sf1_meta = Census2010Meta('sf1')
self.failUnlessEqual(census_2010_sf1_meta.csv_column_for_matrix('P0040002'), 14)
def get_value(self, table, geo_dicts):
if not isinstance(geo_dicts, list):
geo_dicts = [geo_dicts]
census_info = CensusMeta(self.summary_file)
fileid = 'u%s' % self.summary_file
col = census_info.csv_column_for_matrix(table)
raw_vals = Row.objects.filter(
fileid=fileid,
cifsn=census_info._file_name_for_matrix(table),
stusab__in=map(lambda g: g['STUSAB'].upper(), geo_dicts),
logrecno__in=map(lambda g: g['LOGRECNO'], geo_dicts)
).values_list("col%s" % str(col - 4), flat=True)
return map(lambda v: Value(self._type_value(v)), raw_vals)
def get_value(self, table, geo_dicts, **kwargs):
if not isinstance(geo_dicts, list):
geo_dicts = [geo_dicts]
census_info = CensusMeta(self.summary_file)
fileid = 'u%s' % self.summary_file
col = census_info.csv_column_for_matrix(table)
raw_vals = Row.objects.filter(
fileid=fileid,
cifsn=census_info._file_name_for_matrix(table),
stusab__in=map(lambda g: g['STUSAB'].upper(), geo_dicts),
logrecno__in=map(lambda g: g['LOGRECNO'],
geo_dicts)).values_list("col%s" % str(col - 4),
flat=True)
return map(lambda v: Value(self._type_value(v)), raw_vals)
def test_meta_files(self):
acs_meta = ACSMeta()
self.failUnlessEqual(acs_meta.csv_column_for_matrix('B07401_001'), 6)
census_meta = CensusMeta('SF1')
self.failUnlessEqual(census_meta.csv_column_for_matrix('P001001'), 5)
census_meta = CensusMeta('SF3')
self.failUnlessEqual(census_meta.csv_column_for_matrix('P021001'), 171)
census_2010_sf1_meta = Census2010Meta('sf1')
self.failUnlessEqual(
census_2010_sf1_meta.csv_column_for_matrix('P0040002'), 14)
