python - Renaming stacked columns -

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i have column set as

>>> test2.columns multiindex(levels=[[u't070199', u't070299', u't070201', u't070105', u't070104', u'employment'], [u'foo', u'fubar']],            labels=[[0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5], [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1]],            names=[u'foo', u'status'])

i create "mesh grid" out of 2 levels, doing following now:

level0 = test2.columns.levels[0] level1 = test2.columns.levels[1] columnnames = []  l in level0:     j in level1:         columnnames.append(l+'_'+j) columnnames ['t070199_foo', 't070199_fubar', 't070299_foo', 't070299_fubar', ...]

this want, doesn't clean @ all. taking 2 sets, suppose there python way of intertwining these 2 more comfortably. or, perhaps, natural way pandas provides create "one level column names" out of "2 level column names".

one thing can make little nicer using list comprehension:

columnnames = [lev0 + '_' + lev1 lev0 in level0 lev1 in level1]

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