BUG: inappropriate error message for DataFrame.from_dict(OrderedDict(...))

[simonjayhawkins]

see also #22705

Code Sample, a copy-pastable example if possible

from pandas import DataFrame
from collections import OrderedDict
DataFrame.from_dict(
    OrderedDict([('b', 8), ('a', 5), ('a', 6)]))

Note: code sample from exisiting test...

pandas/pandas/tests/frame/test_constructors.py

Lines 1436 to 1437 in 638ddeb

	pytest.raises(ValueError, DataFrame.from_dict,
	OrderedDict([('b', 8), ('a', 5), ('a', 6)]))

Problem description

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-7-ee89993a8718> in <module>
      2 from collections import OrderedDict
      3 DataFrame.from_dict(
----> 4     OrderedDict([('b', 8), ('a', 5), ('a', 6)]))

~\Anaconda3\lib\site-packages\pandas\core\frame.py in from_dict(cls, data, orient, dtype, columns)
    983             raise ValueError('only recognize index or columns for orient')
    984 
--> 985         return cls(data, index=index, columns=columns, dtype=dtype)
    986 
    987     def to_dict(self, orient='dict', into=dict):

~\Anaconda3\lib\site-packages\pandas\core\frame.py in __init__(self, data, index, columns, dtype, copy)
    346                                  dtype=dtype, copy=copy)
    347         elif isinstance(data, dict):
--> 348             mgr = self._init_dict(data, index, columns, dtype=dtype)
    349         elif isinstance(data, ma.MaskedArray):
    350             import numpy.ma.mrecords as mrecords

~\Anaconda3\lib\site-packages\pandas\core\frame.py in _init_dict(self, data, index, columns, dtype)
    457             arrays = [data[k] for k in keys]
    458 
--> 459         return _arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype)
    460 
    461     def _init_ndarray(self, values, index, columns, dtype=None, copy=False):

~\Anaconda3\lib\site-packages\pandas\core\frame.py in _arrays_to_mgr(arrays, arr_names, index, columns, dtype)
   7354     # figure out the index, if necessary
   7355     if index is None:
-> 7356         index = extract_index(arrays)
   7357 
   7358     # don't force copy because getting jammed in an ndarray anyway

~\Anaconda3\lib\site-packages\pandas\core\frame.py in extract_index(data)
   7391 
   7392         if not indexes and not raw_lengths:
-> 7393             raise ValueError('If using all scalar values, you must pass'
   7394                              ' an index')
   7395 

ValueError: If using all scalar values, you must pass an index

Expected Output

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]