concat thows an AssertionError
when passed a ciollection of mixed Series and Dataframes e.g.
s1 = pd.TimeSeries(np.sin(linspace(0, 2*pi, 100)), index=pd.date_range('01-Jan-2013', periods=100, freq='H')) s2 = pd.TimeSeries(np.cos(linspace(0, 2*pi, 100)), index=pd.date_range('01-Jan-2013', periods=100, freq='H')) df = pd.DataFrame(np.cos(linspace(0, 2*pi, 100)).reshape(-1,1), index=pd.date_range('01-Jan-2013', periods=100, freq='H')) In [23]: pd.concat([df,df], axis=1).shape Out[23]: (100, 2) In [24]: pd.concat([s1,s2], axis=1).shape Out[24]: (100, 2) In [25]: pd.concat([s1,s2,s1], axis=1).shape Out[25]: (100, 3) In [26]: pd.concat([s1,df,s2], axis=1).shape Traceback (most recent call last): File "<ipython-input-9-4512588e71f2>", line 1, in <module> pd.concat([s1,df,s2], axis=1).shape File "c:\dev\code\pandas\pandas\tools\merge.py", line 881, in concat return op.get_result() File "c:\dev\code\pandas\pandas\tools\merge.py", line 960, in get_result columns=self.new_axes[1]) File "c:\dev\code\pandas\pandas\core\frame.py", line 376, in __init__ mgr = self._init_dict(data, index, columns, dtype=dtype) File "c:\dev\code\pandas\pandas\core\frame.py", line 505, in _init_dict dtype=dtype) File "c:\dev\code\pandas\pandas\core\frame.py", line 5181, in _arrays_to_mgr mgr = BlockManager(blocks, axes) File "c:\dev\code\pandas\pandas\core\internals.py", line 499, in __init__ self._verify_integrity() File "c:\dev\code\pandas\pandas\core\internals.py", line 584, in _verify_integrity raise AssertionError('Block shape incompatible with manager') AssertionError: Block shape incompatible with manager In [27]: pd.__version__ Out[27]: '0.10.0.dev-fbd77d5'
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