test_convert_dataframe_to_cds fails

[dhirschfeld]

On win64/py36, bokeh 0.12.6, pandas 0.20.2 I'm seeing the below error:

________________________ test_convert_dataframe_to_cds ________________________

    def test_convert_dataframe_to_cds():
        cds = convert(ColumnDataSource, df)
>       assert cds.data == {'name': ['Alice', 'Bob', 'Charlie'],
                            'balance': [100, 200, 300]}

odo\backends\tests\test_bokeh.py:18:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = 0    True
1    True
2    True
Name: balance, dtype: bool

    def __nonzero__(self):
        raise ValueError("The truth value of a {0} is ambiguous. "
                         "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
>                        .format(self.__class__.__name__))
E       ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

The test does seem to work on Travis though. I'm assuming it must be testing against an older version of bokeh or pandas?

If I inspect cds.data this is what I'm seeing:

In [49]: from odo.backends.bokeh import convert, pd, ColumnDataSource

In [50]: df = pd.DataFrame([[100, 'Alice'],
    ...:                    [200, 'Bob'],
    ...:                    [300, 'Charlie']],
    ...:                   columns=['balance', 'name'])

In [51]: cds = convert(ColumnDataSource, df)

In [52]: cds.data
Out[52]: 
{'balance': 0    100
 1    200
 2    300
 Name: balance, dtype: int64, 'name': 0      Alice
 1        Bob
 2    Charlie
 Name: name, dtype: object}