Pandas remove column by index

Question

Suppose I have a DataFrame like this:

>>> df = pd.DataFrame([[1,2,3], [4,5,6], [7,8,9]], columns=['a','b','b'])
>>> df
   a  b  b
0  1  2  3
1  4  5  6
2  7  8  9

And I want to remove second 'b' column. If I just use del statement, it'll delete both 'b' columns:

>>> del df['b']
>>> df
   a
0  1
1  4
2  7

I can select column by index with .iloc[] and reassign DataFrame, but how can I delete only second 'b' column, for example by index?

Solution

df = df.drop(['b'], axis=1).join(df['b'].ix[:, 0:1])
>>> df
   a  b
0  1  2
1  4  5
2  7  8

Or just for this case

df = df.ix[:, 0:2]

But I think it has other better ways.