Python Pandas: drop a column from a multi-level column index?

Question

I have a multi level column table like this:

    a    ---+---+---     b | c | f --+---+---+--- 0 | 1 | 2 | 7 1 | 3 | 4 | 9 

How can I drop column "c" by name? to look like this:

    a    ---+---     b | f --+---+--- 0 | 1 | 7 1 | 3 | 9 

I tried this:

del df['c'] 

but I get the following error, which makes sense:

KeyError: 'Key length (1) was greater than MultiIndex lexsort depth (0)'

Answer 1

Solved:

df.drop('c', axis=1, level=1)