What to do with irow in case of duplicate index?

[lodagro]

Since irow translates the integer index to a label one and then retrieves the row, in case of duplicate index multiple rows are returned.

In [34]: df = pandas.DataFrame(np.random.rand(3,3), columns=list('ABC'), index=list('aab'))

In [35]: df
Out[35]:
          A         B         C
a  0.031057  0.528825  0.694592
a  0.705572  0.122005  0.754107
b  0.475423  0.048636  0.224495

In [36]: df.irow(0)
Out[36]:
          A         B         C
a  0.031057  0.528825  0.694592
a  0.705572  0.122005  0.754107

In [37]: df.irow(1)
Out[37]:
          A         B         C
a  0.031057  0.528825  0.694592
a  0.705572  0.122005  0.754107

In [38]: df.irow(2)
Out[38]:
A    0.475423
B    0.048636
C    0.224495
Name: b

[wesm]

I put in a number of assorted hacks to make icol and irow work with duplicates. Will need to review the code at some point in the future to see if it's possible to clean up a bit more.