Test failure

[FRidh]

=================================== FAILURES ===================================
___________________ test_numpy_asserts_type_after_dataframe ____________________

    def test_numpy_asserts_type_after_dataframe():
        df = pd.DataFrame({'name': ['Alice'], 'amount': [100]})
        ds = datashape.dshape('1 * {name: string[10, "ascii"], amount: int32}')
>       x = convert(np.ndarray, df, dshape=ds)

odo/tests/test_convert.py:169:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
odo/core.py:44: in __call__
    return _transform(self.graph, *args, **kwargs)
odo/core.py:60: in _transform
    x = f(x, excluded_edges=excluded_edges, **kwargs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

df =    amount   name
0     100  Alice
dshape = dshape("1 * {name: string[10, 'A'], amount: int32}")
kwargs = {'excluded_edges': set()}
dtype = dtype([('name', 'S10'), ('amount', '<i4')])
x = rec.array([(100, 'Alice')],
          dtype=[('amount', '<i8'), ('name', 'O')])

    @convert.register(np.ndarray, pd.DataFrame, cost=0.2)
    def dataframe_to_numpy(df, dshape=None, **kwargs):
        dtype = dshape_to_numpy(dshape or discover(df))
        x = df.to_records(index=False)
        if x.dtype != dtype:
>           x = x.astype(dtype)
E           ValueError: invalid literal for int() with base 10: 'Alice'

odo/convert.py:25: ValueError
===================== 1 failed, 84 passed in 2.12 seconds ======================
builder for '/nix/store/inpc9f06d29xnl71d2nxjjv2ybjgxwz8-python3.6-odo-0.5.1.drv' failed with exit code 1
error: build of '/nix/store/inpc9f06d29xnl71d2nxjjv2ybjgxwz8-python3.6-odo-0.5.1.drv' failed