I have product purchase count data which looks likes this:
user item1 item2 a 2 4 b 1 3 c 5 6 ... ... ...
These data are imported into
numpy.genfromtxt. Now I want to process it to get the correlation between
item1 purchase amount and
item2 purchase amount -- basically for each value
item1 I want to find all the users who bought
x quantity then average the
item2 over the same users. What is the best way to do this? I can do this by using
for loops but I thought there might be something more efficient than that. Thanks!