from itertools import combinations

# this gives every n=2 combination of items from the list
pair = combinations(['Full','Side','Category','None'],2)




############################

# do t-tests
for i in list(pair):
    p = scipy.stats.ttest_rel(group2[(group2['Attention Level']==i[0]) & (group2['Category']=='Face')]['Nov_Diff'],
                              group2[(group2['Attention Level']==i[1]) & (group2['Category']=='Face')]['Nov_Diff'])

    #if p[1] <.05:
    print(i)
    print('p = ' + str(p))
    print(' ')