TST: read_csv silently drops empty row

While going over some tests, I noticed the following here:

        df = DataFrame([[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]],
                       index=['one', 'two'],
                       columns=MultiIndex.from_tuples(
                           [('a', 'q'), ('a', 'r'), ('a', 's'),
                            ('b', 't'), ('c', 'u'), ('c', 'v')]))


        # to_csv
        data = """,a,a,a,b,c,c
,q,r,s,t,u,v
,,,,,,
one,1,2,3,4,5,6
two,7,8,9,10,11,12"""


        result = self.read_csv(StringIO(data), header=[0, 1], index_col=0)
        tm.assert_frame_equal(df, result)

Is this really expected behaviour, that pandas.read_csv should silently discard an empty row following the header if multiple rows are passed as headers?

[WillAyd]

Well there is a parameter for skip_blank_lines which is True by default, but setting it to False didn’t change your example which seems off.

Investigation and PRs certainly welcome!

[gfyoung]

@Michael-E-Rose: since the parameters are relatively close, I would keep here for now.