def test_0d(self):
# verify our work around for pd.isnull not working for 0-dimensional
# object arrays
self.assertTrue(utils.array_equiv(0, np.array(0, dtype=object)))
self.assertTrue(
utils.array_equiv(np.nan, np.array(np.nan, dtype=object)))
self.assertFalse(utils.array_equiv(0, np.array(1, dtype=object)))
def test_0d(self):
# verify our work around for pd.isnull not working for 0-dimensional
# object arrays
self.assertTrue(utils.array_equiv(0, np.array(0, dtype=object)))
self.assertTrue(
utils.array_equiv(np.nan, np.array(np.nan, dtype=object)))
self.assertFalse(
utils.array_equiv(0, np.array(1, dtype=object)))
def data_allclose_or_equiv(arr1, arr2, rtol=1e-05, atol=1e-08):
if any(arr.dtype.kind == 'S' for arr in [arr1, arr2]):
arr1 = decode_string_data(arr1)
arr2 = decode_string_data(arr2)
exact_dtypes = ['M', 'm', 'O', 'U']
if any(arr.dtype.kind in exact_dtypes for arr in [arr1, arr2]):
return utils.array_equiv(arr1, arr2)
else:
return utils.allclose_or_equiv(arr1, arr2, rtol=rtol, atol=atol)
def data_allclose_or_equiv(arr1, arr2, rtol=1e-05, atol=1e-08):
if any(arr.dtype.kind == 'S' for arr in [arr1, arr2]):
arr1 = decode_string_data(arr1)
arr2 = decode_string_data(arr2)
exact_dtypes = ['M', 'm', 'O', 'U']
if any(arr.dtype.kind in exact_dtypes for arr in [arr1, arr2]):
return utils.array_equiv(arr1, arr2)
else:
return utils.allclose_or_equiv(arr1, arr2, rtol=rtol, atol=atol)