how to drop duplicated columns data based on column name in pandas : <p>Assume I have a table like below</p>

<pre><code>    A   B   C   B
0   0   1   2   3
1   4   5   6   7
</code></pre>

<p>I'd like to drop column B. I tried to use drop_duplicate, but it seems that it only works based on duplicated data not header.
Hope anyone know how to do this</p>

<p>Thanks</p>
