Example #1
0
    def test_datetime(self):
        expected = np.datetime64('2000-01-01T00Z')
        actual = as_compatible_data(expected)
        self.assertEqual(expected, actual)
        self.assertEqual(np.ndarray, type(actual))
        self.assertEqual(np.dtype('datetime64[ns]'), actual.dtype)

        expected = np.array([np.datetime64('2000-01-01T00Z')])
        actual = as_compatible_data(expected)
        self.assertEqual(np.asarray(expected), actual)
        self.assertEqual(np.ndarray, type(actual))
        self.assertEqual(np.dtype('datetime64[ns]'), actual.dtype)

        expected = np.array([np.datetime64('2000-01-01T00Z', 'ns')])
        actual = as_compatible_data(expected)
        self.assertEqual(np.asarray(expected), actual)
        self.assertEqual(np.ndarray, type(actual))
        self.assertEqual(np.dtype('datetime64[ns]'), actual.dtype)
        self.assertIs(expected, source_ndarray(np.asarray(actual)))

        expected = np.datetime64('2000-01-01T00Z', 'ns')
        actual = as_compatible_data(datetime(2000, 1, 1))
        self.assertEqual(np.asarray(expected), actual)
        self.assertEqual(np.ndarray, type(actual))
        self.assertEqual(np.dtype('datetime64[ns]'), actual.dtype)
Example #2
0
    def test_datetime(self):
        expected = np.datetime64('2000-01-01T00Z')
        actual = as_compatible_data(expected)
        self.assertEqual(expected, actual)
        self.assertEqual(np.ndarray, type(actual))
        self.assertEqual(np.dtype('datetime64[ns]'), actual.dtype)

        expected = np.array([np.datetime64('2000-01-01T00Z')])
        actual = as_compatible_data(expected)
        self.assertEqual(np.asarray(expected), actual)
        self.assertEqual(np.ndarray, type(actual))
        self.assertEqual(np.dtype('datetime64[ns]'), actual.dtype)

        expected = np.array([np.datetime64('2000-01-01T00Z', 'ns')])
        actual = as_compatible_data(expected)
        self.assertEqual(np.asarray(expected), actual)
        self.assertEqual(np.ndarray, type(actual))
        self.assertEqual(np.dtype('datetime64[ns]'), actual.dtype)
        self.assertIs(expected, source_ndarray(np.asarray(actual)))

        expected = np.datetime64('2000-01-01T00Z', 'ns')
        actual = as_compatible_data(datetime(2000, 1, 1))
        self.assertEqual(np.asarray(expected), actual)
        self.assertEqual(np.ndarray, type(actual))
        self.assertEqual(np.dtype('datetime64[ns]'), actual.dtype)
Example #3
0
    def test_masked_array(self):
        original = np.ma.MaskedArray(np.arange(5))
        expected = np.arange(5)
        actual = as_compatible_data(original)
        self.assertArrayEqual(expected, actual)
        self.assertEqual(np.dtype(int), actual.dtype)

        original = np.ma.MaskedArray(np.arange(5), mask=4 * [False] + [True])
        expected = np.arange(5.0)
        expected[-1] = np.nan
        actual = as_compatible_data(original)
        self.assertArrayEqual(expected, actual)
        self.assertEqual(np.dtype(float), actual.dtype)
Example #4
0
    def test_masked_array(self):
        original = np.ma.MaskedArray(np.arange(5))
        expected = np.arange(5)
        actual = as_compatible_data(original)
        self.assertArrayEqual(expected, actual)
        self.assertEqual(np.dtype(int), actual.dtype)

        original = np.ma.MaskedArray(np.arange(5), mask=4 * [False] + [True])
        expected = np.arange(5.0)
        expected[-1] = np.nan
        actual = as_compatible_data(original)
        self.assertArrayEqual(expected, actual)
        self.assertEqual(np.dtype(float), actual.dtype)
Example #5
0
 def test_unchanged_types(self):
     types = (np.asarray, PandasIndexAdapter, indexing.LazilyIndexedArray)
     for t in types:
         for data in [np.arange(3),
                      pd.date_range('2000-01-01', periods=3),
                      pd.date_range('2000-01-01', periods=3).values]:
             x = t(data)
             self.assertIs(source_ndarray(x),
                           source_ndarray(as_compatible_data(x)))
Example #6
0
 def test_unchanged_types(self):
     types = (np.asarray, PandasIndexAdapter, indexing.LazilyIndexedArray)
     for t in types:
         for data in [np.arange(3),
                      pd.date_range('2000-01-01', periods=3),
                      pd.date_range('2000-01-01', periods=3).values]:
             x = t(data)
             self.assertIs(source_ndarray(x),
                           source_ndarray(as_compatible_data(x)))
Example #7
0
 def test_converted_types(self):
     for input_array in [[[0, 1, 2]], pd.DataFrame([[0, 1, 2]])]:
         actual = as_compatible_data(input_array)
         self.assertArrayEqual(np.asarray(input_array), actual)
         self.assertEqual(np.ndarray, type(actual))
         self.assertEqual(np.asarray(input_array).dtype, actual.dtype)
Example #8
0
 def test_converted_types(self):
     for input_array in [[[0, 1, 2]], pd.DataFrame([[0, 1, 2]])]:
         actual = as_compatible_data(input_array)
         self.assertArrayEqual(np.asarray(input_array), actual)
         self.assertEqual(np.ndarray, type(actual))
         self.assertEqual(np.asarray(input_array).dtype, actual.dtype)