In [2]: df = pd.DataFrame(columns=['a','b','c','d'], data=[[1,'b1','c1',3], [1,'b2','c2',4]])
In [3]: df = df.pivot_table(index='a', columns=['b','c'], values='d').reset_index()
In [4]: df
Out[4]:
b a b1 b2
c c1 c2
0 1 3 4
In [5]: df.drop('a', axis=1)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-5-b59fbf92d28f> in <module>()
----> 1 df.drop('a', axis=1)
/home/nicolas/Git/pandas/pandas/core/generic.pyc in drop(self, labels, axis, level, inplace, errors)
1617 new_axis = axis.drop(labels, level=level, errors=errors)
1618 else:
-> 1619 new_axis = axis.drop(labels, errors=errors)
1620 dropped = self.reindex(**{axis_name: new_axis})
1621 try:
/home/nicolas/Git/pandas/pandas/core/index.pyc in drop(self, labels, level, errors)
5729 inds.append(loc)
5730 else:
-> 5731 inds.extend(lrange(loc.start, loc.stop))
5732 except KeyError:
5733 if errors != 'ignore':
AttributeError: 'numpy.ndarray' object has no attribute 'start'
This is related to issue #11640. I have been working on a solution that I submitted in the pull request #11717, but the said solution was controversial, so I'm creating this issue to separate the problems.
I'll make a PR soon enough.
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