If I’ve got a multi-level column index:
>>> cols = pd.MultiIndex.from_tuples([("a", "b"), ("a", "c")])
>>> pd.DataFrame([[1,2], [3,4]], columns=cols)
a ---+-- b | c --+---+-- 0 | 1 | 2 1 | 3 | 4
How can I drop the “a” level of that index, so I end up with:
b | c --+---+-- 0 | 1 | 2 1 | 3 | 4