Fetches JSON results from the NY lottery for lotto or mega and calculates mean and top 5 most recurring numbers (along with count)

lotto_mega_mean_topnums.py

import sys, urllib, json, math, operator, datetime

today = datetime.datetime.now() 
endSearchDate = str(today.month + 1 if today.month + 1 <= 12 else today.month) + '/' + str(today.year)
game = 'mega' if sys.argv[1] == 'mega' else 'lotto'
url = 'http://nylottery.ny.gov/wps/PA_NYSLNumberCruncher/NumbersServlet?game='+game+'&action=winningnumbers&startSearchDate=08/2000&endSearchDate='+endSearchDate+'&pageNo=1&last=0&perPage=10000&sort=0'
datas = json.loads((urllib.urlopen(url)).read())

matrix = []
for data in datas['draw']:
	nums = []
	for num in data['numbersDrawn'].split('-'):
		nums.append(int(num))
	nums.append(data['bonusNumberDraws'] if game == 'lotto' else data['megaBallDrawn'])
	matrix.append(nums)

print "mean", [ int(math.ceil(float(sum(l))/len(l))) for l in zip(*matrix)]

counter = {1: {}, 2: {}, 3: {}, 4: {}, 5: {}, 6: {}, 7: {}}
for mset in matrix:
	for i in range(1, (8 if game == 'lotto' else 7)):
		if mset[i-1] in counter[i]:
			counter[i][mset[i-1]] = counter[i][mset[i-1]] + 1
		else:
			counter[i][mset[i-1]] = 1

for i in range(1, (8 if game == 'lotto' else 7)):
	print i, sorted(counter[i].items(), key=operator.itemgetter(1))[-6:-1]