In [3]: pd.DataFrame(dict(a=None),index=[0]) --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-3-20b65f605ca3> in <module>() ----> 1 pd.DataFrame(dict(a=None),index=[0]) miniconda2/envs/readout2/lib/python2.7/site-packages/pandas/core/frame.pyc in __init__(self, data, index, columns, dtype, copy) 264 dtype=dtype, copy=copy) 265 elif isinstance(data, dict): --> 266 mgr = self._init_dict(data, index, columns, dtype=dtype) 267 elif isinstance(data, ma.MaskedArray): 268 import numpy.ma.mrecords as mrecords miniconda2/envs/readout2/lib/python2.7/site-packages/pandas/core/frame.pyc in _init_dict(self, data, index, columns, dtype) 400 arrays = [data[k] for k in keys] 401 --> 402 return _arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype) 403 404 def _init_ndarray(self, values, index, columns, dtype=None, copy=False): miniconda2/envs/readout2/lib/python2.7/site-packages/pandas/core/frame.pyc in _arrays_to_mgr(arrays, arr_names, index, columns, dtype) 5382 5383 # don't force copy because getting jammed in an ndarray anyway -> 5384 arrays = _homogenize(arrays, index, dtype) 5385 5386 # from BlockManager perspective miniconda2/envs/readout2/lib/python2.7/site-packages/pandas/core/frame.pyc in _homogenize(data, index, dtype) 5693 v = lib.fast_multiget(v, oindex.values, default=NA) 5694 v = _sanitize_array(v, index, dtype=dtype, copy=False, -> 5695 raise_cast_failure=False) 5696 5697 homogenized.append(v) miniconda2/envs/readout2/lib/python2.7/site-packages/pandas/core/series.pyc in _sanitize_array(data, index, dtype, copy, raise_cast_failure) 2917 2918 # scalar like -> 2919 if subarr.ndim == 0: 2920 if isinstance(data, list): # pragma: no cover 2921 subarr = np.array(data, dtype=object) AttributeError: 'NoneType' object has no attribute 'ndim'