def test_ordered_dict(self):
da = DataAdapter(self._values)
self.assertEqual(da.values(), list(self._values.values()))
self.assertEqual(da.columns, ['first', 'second', 'third'])
self.assertEqual(da.keys(), ['first', 'second', 'third'])
self.assertEqual(da.index, ['a', 'b', 'c'])
def test_ordered_dict(self):
da = DataAdapter(self._values)
self.assertEqual(da.values(), list(self._values.values()))
self.assertEqual(da.columns, ['first', 'second', 'third'])
self.assertEqual(da.keys(), ['first', 'second', 'third'])
self.assertEqual(da.index, ['a', 'b', 'c'])
def test_array(self):
values = np.array(list(self._values.values()))
da = DataAdapter(values)
assert_array_equal(da.values(), list(self._values.values()))
self.assertEqual(da.columns, ['0', '1', '2'])
self.assertEqual(da.keys(), ['0', '1', '2'])
self.assertEqual(da.index, ['a', 'b', 'c'])
def test_array(self):
values = np.array(list(self._values.values()))
da = DataAdapter(values)
assert_array_equal(da.values(), list(self._values.values()))
self.assertEqual(da.columns, ['0', '1', '2'])
self.assertEqual(da.keys(), ['0', '1', '2'])
self.assertEqual(da.index, ['a', 'b', 'c'])
def test_pandas(self):
values = pd.DataFrame(self._values)
da = DataAdapter(values)
# TODO: THIS SHOULD BE FIXED..
#self.assertEqual(da.values(), list(self._values.values()))
self.assertEqual(da.columns, ['first', 'second', 'third'])
self.assertEqual(da.keys(), ['first', 'second', 'third'])
# We expect data adapter index to be the same as the underlying pandas
# object and not the default created by DataAdapter
self.assertEqual(da.index, [0, 1, 2])
def test_pandas(self):
values = pd.DataFrame(self._values)
da = DataAdapter(values)
# TODO: THIS SHOULD BE FIXED..
#self.assertEqual(da.values(), list(self._values.values()))
self.assertEqual(da.columns, ['first', 'second', 'third'])
self.assertEqual(da.keys(), ['first', 'second', 'third'])
# We expect data adapter index to be the same as the underlying pandas
# object and not the default created by DataAdapter
self.assertEqual(da.index, [0, 1, 2])
def test_blaze_data_no_fields(self):
import blaze
valuesdf = pd.DataFrame(self._values)
values = blaze.Data(valuesdf)
da = DataAdapter(values)
assert_array_equal(da.values(), list(self._values.values()))
self.assertEqual(da.columns, ['first', 'second', 'third'])
self.assertEqual(da.keys(), ['first', 'second', 'third'])
self.assertEqual(da.index, [0, 1, 2])
xs, _values = DataAdapter.get_index_and_data(values, None)
assert_array_equal([0, 1, 2], xs)
def test_blaze_data_no_fields(self):
import blaze
valuesdf = pd.DataFrame(self._values)
values = blaze.Data(valuesdf)
da = DataAdapter(values)
assert_array_equal(da.values(), list(self._values.values()))
self.assertEqual(da.columns, ['first', 'second', 'third'])
self.assertEqual(da.keys(), ['first', 'second', 'third'])
self.assertEqual(da.index, [0, 1, 2])
xs, _values = DataAdapter.get_index_and_data(values, None)
assert_array_equal([0,1,2], xs)