DataFrame constructor fails with tz dtype

[TomAugspurger]

This works with series

In [1]: import pandas as pd

In [2]: pd.Series(index=[0, 1], dtype='datetime64[ns, UTC]')
Out[2]:
0   NaT
1   NaT
dtype: datetime64[ns, UTC]

but not DataFrames

In [3]: pd.DataFrame(index=[0, 1], columns=[0], dtype='datetime64[ns, UTC]')

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-3-7b2502f909f5> in <module>()
----> 1 pd.DataFrame(index=[0, 1], columns=[0], dtype='datetime64[ns, UTC]')

~/sandbox/pandas/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy)
    348                                  dtype=dtype, copy=copy)
    349         elif isinstance(data, dict):
--> 350             mgr = self._init_dict(data, index, columns, dtype=dtype)
    351         elif isinstance(data, ma.MaskedArray):
    352             import numpy.ma.mrecords as mrecords

~/sandbox/pandas/pandas/core/frame.py in _init_dict(self, data, index, columns, dtype)
    445             # no obvious "empty" int column
    446             if missing.any() and not is_integer_dtype(dtype):
--> 447                 if dtype is None or np.issubdtype(dtype, np.flexible):
    448                     # 1783
    449                     nan_dtype = object

~/Envs/pandas-dev/lib/python3.6/site-packages/numpy/numpy/core/numerictypes.py in issubdtype(arg1, arg2)
    713     """
    714     if not issubclass_(arg1, generic):
--> 715         arg1 = dtype(arg1).type
    716     if not issubclass_(arg2, generic):
    717         arg2_orig = arg2

TypeError: data type not understood

same w/ a dict dtype={0: 'datetime64[ns, UTC]'), and with the actual dtype as well.

In [5]: pd.DataFrame(index=[0, 1], columns=[0], dtype={0: pd.api.types.pandas_dtype('datetime64[ns, UTC]')})
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-5-3b35d67fd1e7> in <module>()
----> 1 pd.DataFrame(index=[0, 1], columns=[0], dtype={0: pd.api.types.pandas_dtype('datetime64[ns, UTC]')})

~/sandbox/pandas/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy)
    339             data = {}
    340         if dtype is not None:
--> 341             dtype = self._validate_dtype(dtype)
    342
    343         if isinstance(data, DataFrame):

~/sandbox/pandas/pandas/core/generic.py in _validate_dtype(self, dtype)
    166
    167         if dtype is not None:
--> 168             dtype = pandas_dtype(dtype)
    169
    170             # a compound dtype

~/sandbox/pandas/pandas/core/dtypes/common.py in pandas_dtype(dtype)
   2011
   2012     try:
-> 2013         npdtype = np.dtype(dtype)
   2014     except (TypeError, ValueError):
   2015         raise

~/Envs/pandas-dev/lib/python3.6/site-packages/numpy/numpy/core/_internal.py in _usefields(adict, align)
     60         names = None
     61     if names is None:
---> 62         names, formats, offsets, titles = _makenames_list(adict, align)
     63     else:
     64         formats = []

~/Envs/pandas-dev/lib/python3.6/site-packages/numpy/numpy/core/_internal.py in _makenames_list(adict, align)
     28     for fname in fnames:
     29         obj = adict[fname]
---> 30         n = len(obj)
     31         if not isinstance(obj, tuple) or n not in [2, 3]:
     32             raise ValueError("entry not a 2- or 3- tuple")

TypeError: object of type 'DatetimeTZDtype' has no len()

[mroeschke]

Think this is a dupe of #12513

[TomAugspurger]

Indeed, missed that in my search. Thanks.