Created
October 13, 2011 17:51
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import xlrd, xlwt | |
from xlutils.copy import copy | |
import time | |
from simplegeo import Client, json, APIError | |
#from multiprocessing.pool import ThreadPool as Pool | |
from multiprocessing import Pool | |
client = Client('SbAc87cM7EK2qCvmjymQtXU66MdXGNPr','CNmJaCEGGY3V7Tq3NEJsvNJCdJZjvgfN') | |
neighborhoods = {} | |
def f(z): | |
z = str(z) | |
error = "" | |
n = [] | |
try: | |
# z = str(10001) | |
results = client.context.get_context_by_address(z) | |
for b in results["features"]: | |
if b["classifiers"][0]["category"] == 'Neighborhood': | |
n = b["name"] | |
except APIError, e: | |
return (z, error) | |
# print neighborhoods | |
# print "%s hoods=%s." % (z, len(neighborhoods)) | |
return (z, n) | |
if __name__ == '__main__': | |
book = xlrd.open_workbook("zipcodes.xls") | |
sheet = book.sheet_by_index(0) | |
rows = sheet.nrows | |
row = 1 | |
zipcodes = set() | |
while row <= (rows - 1) : | |
# while row <= 5000: | |
zip = sheet.cell_value(row,0) | |
zip = int(zip) | |
z = str(zip) | |
z = z.zfill(5) | |
zipcodes.add(z) | |
row += 1 | |
print "Found %s codes" % len(zipcodes) | |
zipcodes = set(list(zipcodes)) | |
# Check if the zipcode is not in the list, save to new file | |
w_sheet_dict = {} | |
rb = xlrd.open_workbook("results.xls") | |
r_sheet = rb.sheet_by_index(0) | |
wb = copy(rb) | |
w_sheet = wb.get_sheet(0) | |
rows2 = r_sheet.nrows | |
r = 1 | |
while r <= rows2: | |
w_sheet_dict[sheet.cell_value(r,0)] = [sheet.cell_value(r,1)] | |
r += 1 | |
# Multiprocessing pool | |
start = time.time() | |
pool = Pool(16) | |
result = pool.map(f, zipcodes) | |
result = filter(lambda x :len(x[1]) > 0, result) | |
print result | |
# Writing results | |
rows2 = rows2 + 1 | |
for x in result: | |
if not x in w_sheet_dict: | |
w_sheet.write((rows2),0,str(x[0])) | |
w_sheet.write((rows2),1,str(x[1])) | |
rows2 += 1 | |
wb.save("results.xls") | |
print len(result) | |
print 'Duration %s' % (time.time() - start, ) | |
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