如何遍历 Pandas DataFrame 的成对行？
例如：
content = [(1,2,[1,3]),(3,4,[2,4]),(5,6,[6,9]),(7,8,[9,10])]
df = pd.DataFrame( content, columns=["a","b","interval"])
print df
输出：
a b interval
0 1 2 [1, 3]
1 3 4 [2, 4]
2 5 6 [6, 9]
3 7 8 [9, 10]
现在我想做类似的事情
for (indx1,row1), (indx2,row2) in df.?
print "row1:\n", row1
print "row2:\n", row2
print "\n"
哪个应该输出
row1:
a 1
b 2
interval [1,3]
Name: 0, dtype: int64
row2:
a 3
b 4
interval [2,4]
Name: 1, dtype: int64
row1:
a 3
b …