Python pandas.core.index.Index._simple_new() Examples

The following are 6 code examples of pandas.core.index.Index._simple_new(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module pandas.core.index.Index , or try the search function .
Example #1
Source File: test_multilevel.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_append_index(self):
        idx1 = Index([1.1, 1.2, 1.3])
        idx2 = pd.date_range('2011-01-01', freq='D', periods=3,
                             tz='Asia/Tokyo')
        idx3 = Index(['A', 'B', 'C'])

        midx_lv2 = MultiIndex.from_arrays([idx1, idx2])
        midx_lv3 = MultiIndex.from_arrays([idx1, idx2, idx3])

        result = idx1.append(midx_lv2)

        # see gh-7112
        tz = pytz.timezone('Asia/Tokyo')
        expected_tuples = [(1.1, tz.localize(datetime.datetime(2011, 1, 1))),
                           (1.2, tz.localize(datetime.datetime(2011, 1, 2))),
                           (1.3, tz.localize(datetime.datetime(2011, 1, 3)))]
        expected = Index([1.1, 1.2, 1.3] + expected_tuples)
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(idx1)
        expected = Index(expected_tuples + [1.1, 1.2, 1.3])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv2)
        expected = MultiIndex.from_arrays([idx1.append(idx1),
                                           idx2.append(idx2)])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv3)
        tm.assert_index_equal(result, expected)

        result = midx_lv3.append(midx_lv2)
        expected = Index._simple_new(
            np.array([(1.1, tz.localize(datetime.datetime(2011, 1, 1)), 'A'),
                      (1.2, tz.localize(datetime.datetime(2011, 1, 2)), 'B'),
                      (1.3, tz.localize(datetime.datetime(2011, 1, 3)), 'C')] +
                     expected_tuples), None)
        tm.assert_index_equal(result, expected)
Example #2
Source File: test_multilevel.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_append_index(self):
        idx1 = Index([1.1, 1.2, 1.3])
        idx2 = pd.date_range('2011-01-01', freq='D', periods=3,
                             tz='Asia/Tokyo')
        idx3 = Index(['A', 'B', 'C'])

        midx_lv2 = MultiIndex.from_arrays([idx1, idx2])
        midx_lv3 = MultiIndex.from_arrays([idx1, idx2, idx3])

        result = idx1.append(midx_lv2)

        # see gh-7112
        tz = pytz.timezone('Asia/Tokyo')
        expected_tuples = [(1.1, tz.localize(datetime.datetime(2011, 1, 1))),
                           (1.2, tz.localize(datetime.datetime(2011, 1, 2))),
                           (1.3, tz.localize(datetime.datetime(2011, 1, 3)))]
        expected = Index([1.1, 1.2, 1.3] + expected_tuples)
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(idx1)
        expected = Index(expected_tuples + [1.1, 1.2, 1.3])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv2)
        expected = MultiIndex.from_arrays([idx1.append(idx1),
                                           idx2.append(idx2)])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv3)
        tm.assert_index_equal(result, expected)

        result = midx_lv3.append(midx_lv2)
        expected = Index._simple_new(
            np.array([(1.1, tz.localize(datetime.datetime(2011, 1, 1)), 'A'),
                      (1.2, tz.localize(datetime.datetime(2011, 1, 2)), 'B'),
                      (1.3, tz.localize(datetime.datetime(2011, 1, 3)), 'C')] +
                     expected_tuples), None)
        tm.assert_index_equal(result, expected)
Example #3
Source File: test_multilevel.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_append_index(self):
        idx1 = Index([1.1, 1.2, 1.3])
        idx2 = pd.date_range('2011-01-01', freq='D', periods=3,
                             tz='Asia/Tokyo')
        idx3 = Index(['A', 'B', 'C'])

        midx_lv2 = MultiIndex.from_arrays([idx1, idx2])
        midx_lv3 = MultiIndex.from_arrays([idx1, idx2, idx3])

        result = idx1.append(midx_lv2)

        # see gh-7112
        tz = pytz.timezone('Asia/Tokyo')
        expected_tuples = [(1.1, tz.localize(datetime.datetime(2011, 1, 1))),
                           (1.2, tz.localize(datetime.datetime(2011, 1, 2))),
                           (1.3, tz.localize(datetime.datetime(2011, 1, 3)))]
        expected = Index([1.1, 1.2, 1.3] + expected_tuples)
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(idx1)
        expected = Index(expected_tuples + [1.1, 1.2, 1.3])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv2)
        expected = MultiIndex.from_arrays([idx1.append(idx1),
                                           idx2.append(idx2)])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv3)
        tm.assert_index_equal(result, expected)

        result = midx_lv3.append(midx_lv2)
        expected = Index._simple_new(
            np.array([(1.1, tz.localize(datetime.datetime(2011, 1, 1)), 'A'),
                      (1.2, tz.localize(datetime.datetime(2011, 1, 2)), 'B'),
                      (1.3, tz.localize(datetime.datetime(2011, 1, 3)), 'C')] +
                     expected_tuples), None)
        tm.assert_index_equal(result, expected)
Example #4
Source File: test_multilevel.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_append_index(self):
        idx1 = Index([1.1, 1.2, 1.3])
        idx2 = pd.date_range('2011-01-01', freq='D', periods=3,
                             tz='Asia/Tokyo')
        idx3 = Index(['A', 'B', 'C'])

        midx_lv2 = MultiIndex.from_arrays([idx1, idx2])
        midx_lv3 = MultiIndex.from_arrays([idx1, idx2, idx3])

        result = idx1.append(midx_lv2)

        # see gh-7112
        tz = pytz.timezone('Asia/Tokyo')
        expected_tuples = [(1.1, tz.localize(datetime.datetime(2011, 1, 1))),
                           (1.2, tz.localize(datetime.datetime(2011, 1, 2))),
                           (1.3, tz.localize(datetime.datetime(2011, 1, 3)))]
        expected = Index([1.1, 1.2, 1.3] + expected_tuples)
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(idx1)
        expected = Index(expected_tuples + [1.1, 1.2, 1.3])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv2)
        expected = MultiIndex.from_arrays([idx1.append(idx1),
                                           idx2.append(idx2)])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv3)
        tm.assert_index_equal(result, expected)

        result = midx_lv3.append(midx_lv2)
        expected = Index._simple_new(
            np.array([(1.1, tz.localize(datetime.datetime(2011, 1, 1)), 'A'),
                      (1.2, tz.localize(datetime.datetime(2011, 1, 2)), 'B'),
                      (1.3, tz.localize(datetime.datetime(2011, 1, 3)), 'C')] +
                     expected_tuples), None)
        tm.assert_index_equal(result, expected)
Example #5
Source File: test_multilevel.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def test_append_index(self):
        idx1 = Index([1.1, 1.2, 1.3])
        idx2 = pd.date_range('2011-01-01', freq='D', periods=3,
                             tz='Asia/Tokyo')
        idx3 = Index(['A', 'B', 'C'])

        midx_lv2 = MultiIndex.from_arrays([idx1, idx2])
        midx_lv3 = MultiIndex.from_arrays([idx1, idx2, idx3])

        result = idx1.append(midx_lv2)

        # see gh-7112
        tz = pytz.timezone('Asia/Tokyo')
        expected_tuples = [(1.1, tz.localize(datetime.datetime(2011, 1, 1))),
                           (1.2, tz.localize(datetime.datetime(2011, 1, 2))),
                           (1.3, tz.localize(datetime.datetime(2011, 1, 3)))]
        expected = Index([1.1, 1.2, 1.3] + expected_tuples)
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(idx1)
        expected = Index(expected_tuples + [1.1, 1.2, 1.3])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv2)
        expected = MultiIndex.from_arrays([idx1.append(idx1),
                                           idx2.append(idx2)])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv3)
        tm.assert_index_equal(result, expected)

        result = midx_lv3.append(midx_lv2)
        expected = Index._simple_new(
            np.array([(1.1, tz.localize(datetime.datetime(2011, 1, 1)), 'A'),
                      (1.2, tz.localize(datetime.datetime(2011, 1, 2)), 'B'),
                      (1.3, tz.localize(datetime.datetime(2011, 1, 3)), 'C')] +
                     expected_tuples), None)
        tm.assert_index_equal(result, expected)
Example #6
Source File: test_multilevel.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_append_index(self):
        idx1 = Index([1.1, 1.2, 1.3])
        idx2 = pd.date_range('2011-01-01', freq='D', periods=3,
                             tz='Asia/Tokyo')
        idx3 = Index(['A', 'B', 'C'])

        midx_lv2 = MultiIndex.from_arrays([idx1, idx2])
        midx_lv3 = MultiIndex.from_arrays([idx1, idx2, idx3])

        result = idx1.append(midx_lv2)

        # see gh-7112
        tz = pytz.timezone('Asia/Tokyo')
        expected_tuples = [(1.1, tz.localize(datetime.datetime(2011, 1, 1))),
                           (1.2, tz.localize(datetime.datetime(2011, 1, 2))),
                           (1.3, tz.localize(datetime.datetime(2011, 1, 3)))]
        expected = Index([1.1, 1.2, 1.3] + expected_tuples)
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(idx1)
        expected = Index(expected_tuples + [1.1, 1.2, 1.3])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv2)
        expected = MultiIndex.from_arrays([idx1.append(idx1),
                                           idx2.append(idx2)])
        tm.assert_index_equal(result, expected)

        result = midx_lv2.append(midx_lv3)
        tm.assert_index_equal(result, expected)

        result = midx_lv3.append(midx_lv2)
        expected = Index._simple_new(
            np.array([(1.1, tz.localize(datetime.datetime(2011, 1, 1)), 'A'),
                      (1.2, tz.localize(datetime.datetime(2011, 1, 2)), 'B'),
                      (1.3, tz.localize(datetime.datetime(2011, 1, 3)), 'C')] +
                     expected_tuples), None)
        tm.assert_index_equal(result, expected)