def handle(self, *args, **options):
with open('rawdata/Appathon3_KS4_1011.txt', 'r') as f:
reader = csv.DictReader(f, delimiter='\t')
done = 0
for page in paged(PAGE_SIZE, reader):
pupils = [row_to_pupil(row) for row in page]
Pupil.objects.bulk_create(pupils)
done += PAGE_SIZE
pprint.pprint(done)
def handle(self, *args, **options):
with open("rawdata/Appathon3_KS4_1011.txt", "r") as f:
reader = csv.DictReader(f, delimiter="\t")
done = 0
for page in paged(PAGE_SIZE, reader):
pupils = [row_to_pupil(row) for row in page]
Pupil.objects.bulk_create(pupils)
done += PAGE_SIZE
pprint.pprint(done)
def leas(request):
counties = County.objects.all().order_by('name')
counties_per_col = counties.count() / 4
county_layer = InfoLayer([[c.shape, _link(c)] for c in counties])
map_ = Map([county_layer], LEAS_MAP_OPTIONS)
context = {
'counties_columns': paged(counties_per_col, counties),
'map': map_,
}
return render_to_response('dashboard/leas.html',
context,
context_instance=RequestContext(request))
def leas(request):
counties = County.objects.all().order_by('name')
counties_per_col = counties.count() / 4
county_layer = InfoLayer([[c.shape, _link(c)] for c in counties])
map_ = Map([county_layer], LEAS_MAP_OPTIONS)
context = {
'counties_columns': paged(counties_per_col, counties),
'map': map_,
}
return render_to_response('dashboard/leas.html',
context,
context_instance=RequestContext(request))
def handle(self, *args, **options):
with open('rawdata/deprivation/J440310_2309_GeoPolicy_LSOA.CSV', 'r') as f:
for _ in range(6):
f.readline()
reader = csv.reader(f)
for page in paged(200, reader):
areas = []
for row in page:
areas.append(Area(
name=row[11],
msoa=row[8],
lsoa=row[10],
deprivation_score=row[14],
income_score=row[16],
employment_score=row[18],
health_score=row[20],
education_score=row[22],
housing_score=row[24],
crime_score=row[26],
environment_score=row[28],
))
Area.objects.bulk_create(areas)
