h=f.readline().strip().split(",")
# Initialize 53 empty lists
s=[]
for i in range(53):
s.append([])
# Loop over the remaining lines
for l in f:
# Create a list by separating the line at commas
d=l.split(",")
# Store the 53 entries in the line to each relevant list
for i in range(53):
s[i].append(d[i])
# Close the file
f.close()
# Check correlations with Massachusetts score
q=[]
for i in range(2,53):
q.append((h[i],correl(s[i],s[1])))
# Sort the list
p=sorted(q, key=itemgetter(1), reverse=True)
# Formatted output
for j in p:
print "%20s : %7.5f" % j
# Close the file
f.close()
c = []
#Initialize 51 empty lists
for i in range(51):
c.append([])
#Iterate over all of the lists calculating correlations
# between each pair of states
for i in range(2,53):
for j in range(2,53):
if (i != j):
c[i - 2].append((h[j],correl(s[i],s[j])))
# Sort the lists
for i in range(51):
t = sorted(c[i], key=itemgetter(1), reverse=True)
#for now I only want the top 3 for each state
p = t[:3] #list of 3 tuples
for k in range(3):
[name, r] = p[k]
v = h.index(name) - 2
p[k] = [v , r]
c[i] = p
# http://www.cdc.gov/flu/fluvaxview/reports/reporti1213/reporti/index.htm
