Pandas BUG: DataFrame creation from a tz-aware Index

dti = pd.date_range('2016-09-23', periods=3, tz='US/Central')
df = pd.DataFrame(dti)

>>> df.T
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "pandas/core/frame.py", line 1941, in transpose
    return super(DataFrame, self).transpose(1, 0, **kwargs)
  File "pandas/core/generic.py", line 616, in transpose
    new_values = self.values.transpose(axes_numbers)
  File "pandas/core/base.py", line 697, in transpose
    nv.validate_transpose(args, kwargs)
  File "pandas/compat/numpy/function.py", line 54, in __call__
    self.defaults)
  File "pandas/util/_validators.py", line 218, in validate_args_and_kwargs
    validate_kwargs(fname, kwargs, compat_args)
  File "pandas/util/_validators.py", line 157, in validate_kwargs
    _check_for_default_values(fname, kwds, compat_args)
  File "pandas/util/_validators.py", line 69, in _check_for_default_values
    format(fname=fname, arg=key)))
ValueError: the 'axes' parameter is not supported in the pandas implementation of transpose()

Looks like this is b/c df.values is a DatetimeIndex

Comment From: jreback

xref to https://github.com/pandas-dev/pandas/issues/13287

Comment From: jreback

this is a duplicate and the same cause as #13287