Python array_equivalent示例

示例#1

文件： numeric.py 项目： BrendanDeFrancisco/pandas

    def equals(self, other):
        """
        Determines if two Index objects contain the same elements.
        """
        if self.is_(other):
            return True

        return com.array_equivalent(com._values_from_object(self),
                                    com._values_from_object(other))

示例#2

文件： numeric.py 项目： rcarneva/pandas

    def equals(self, other):
        """
        Determines if two Index objects contain the same elements.
        """
        if self.is_(other):
            return True

        try:
            return com.array_equivalent(com._values_from_object(self), com._values_from_object(other))
        except TypeError:
            # e.g. fails in numpy 1.6 with DatetimeIndex #1681
            return False

示例#3

文件： category.py 项目： DangDangSister/pandas

    def equals(self, other):
        """
        Determines if two CategorialIndex objects contain the same elements.
        """
        if self.is_(other):
            return True

        try:
            other = self._is_dtype_compat(other)
            return com.array_equivalent(self._data, other)
        except (TypeError, ValueError):
            pass

        return False

示例#4

文件： test_common.py 项目： Komnomnomnom/pandas

def test_array_equivalent():
    assert array_equivalent(np.array([np.nan, np.nan]),
                            np.array([np.nan, np.nan]))
    assert array_equivalent(np.array([np.nan, 1, np.nan]),
                            np.array([np.nan, 1, np.nan]))
    assert array_equivalent(np.array([np.nan, None], dtype='object'),
                            np.array([np.nan, None], dtype='object'))
    assert array_equivalent(np.array([np.nan, 1+1j], dtype='complex'),
                            np.array([np.nan, 1+1j], dtype='complex'))
    assert not array_equivalent(np.array([np.nan, 1+1j], dtype='complex'),
                                np.array([np.nan, 1+2j], dtype='complex'))
    assert not array_equivalent(np.array([np.nan, 1, np.nan]),
                                np.array([np.nan, 2, np.nan]))
    assert not array_equivalent(np.array(['a', 'b', 'c', 'd']), np.array(['e', 'e']))

示例#5

文件： io_jsc.py 项目： tisaconundrum2/PySAT

def duplicate_columns(frame):
    groups = frame.columns.to_series().groupby(frame.dtypes).groups
    dups = []

    for t, v in groups.items():

        cs = frame[v].columns
        vs = frame[v]
        lcs = len(cs)

        for i in range(lcs):
            ia = vs.iloc[:, i].values
            for j in range(i + 1, lcs):
                ja = vs.iloc[:, j].values
                if array_equivalent(ia, ja):
                    dups.append(cs[i])
                    break

    return dups

示例#6

文件： test_common.py 项目： AkiraKane/pandas

def test_array_equivalent_compat():
    # see gh-13388
    m = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
    n = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
    assert (com.array_equivalent(m, n, strict_nan=True))
    assert (com.array_equivalent(m, n, strict_nan=False))

    m = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
    n = np.array([(1, 2), (4, 3)], dtype=[('a', int), ('b', float)])
    assert (not com.array_equivalent(m, n, strict_nan=True))
    assert (not com.array_equivalent(m, n, strict_nan=False))

    m = np.array([(1, 2), (3, 4)], dtype=[('a', int), ('b', float)])
    n = np.array([(1, 2), (3, 4)], dtype=[('b', int), ('a', float)])
    assert (not com.array_equivalent(m, n, strict_nan=True))
    assert (not com.array_equivalent(m, n, strict_nan=False))

示例#7

文件： test_common.py 项目： 5i7788/pandas

def test_array_equivalent():
    assert array_equivalent(np.array([np.nan, np.nan]),
                            np.array([np.nan, np.nan]))
    assert array_equivalent(np.array([np.nan, 1, np.nan]),
                            np.array([np.nan, 1, np.nan]))
    assert array_equivalent(np.array([np.nan, None], dtype='object'),
                            np.array([np.nan, None], dtype='object'))
    assert array_equivalent(np.array([np.nan, 1+1j], dtype='complex'),
                            np.array([np.nan, 1+1j], dtype='complex'))
    assert not array_equivalent(np.array([np.nan, 1+1j], dtype='complex'),
                                np.array([np.nan, 1+2j], dtype='complex'))
    assert not array_equivalent(np.array([np.nan, 1, np.nan]),
                                np.array([np.nan, 2, np.nan]))
    assert not array_equivalent(np.array(['a', 'b', 'c', 'd']), np.array(['e', 'e']))
    assert array_equivalent(Float64Index([0, np.nan]), Float64Index([0, np.nan]))
    assert not array_equivalent(Float64Index([0, np.nan]), Float64Index([1, np.nan]))
    assert array_equivalent(DatetimeIndex([0, np.nan]), DatetimeIndex([0, np.nan]))
    assert not array_equivalent(DatetimeIndex([0, np.nan]), DatetimeIndex([1, np.nan]))

示例#8

文件： test_common.py 项目： Jeevsy/pandas

def test_array_equivalent_str():
    for dtype in ['O', 'S', 'U']:
        assert array_equivalent(np.array(['A', 'B'], dtype=dtype),
                                np.array(['A', 'B'], dtype=dtype))
        assert not array_equivalent(np.array(['A', 'B'], dtype=dtype),
                                    np.array(['A', 'X'], dtype=dtype))

示例#9

    def test_deprecation_core_common_array_equivalent(self):

        with tm.assert_produces_warning(DeprecationWarning):
            com.array_equivalent(np.array([1, 2]), np.array([1, 2]))

示例#10

文件： test_api.py 项目： yinleon/pandas

    def test_deprecation_core_common_array_equivalent(self):

        with tm.assert_produces_warning(DeprecationWarning):
            com.array_equivalent(np.array([1, 2]), np.array([1, 2]))

示例#11

文件： test_common.py 项目： thorwhalen/pandas

def test_array_equivalent():
    assert array_equivalent(np.array([np.nan, np.nan]),
                            np.array([np.nan, np.nan]))
    assert array_equivalent(np.array([np.nan, 1, np.nan]),
                            np.array([np.nan, 1, np.nan]))
    assert array_equivalent(np.array([np.nan, None], dtype='object'),
                            np.array([np.nan, None], dtype='object'))
    assert array_equivalent(np.array([np.nan, 1 + 1j], dtype='complex'),
                            np.array([np.nan, 1 + 1j], dtype='complex'))
    assert not array_equivalent(np.array([np.nan, 1 + 1j], dtype='complex'),
                                np.array([np.nan, 1 + 2j], dtype='complex'))
    assert not array_equivalent(np.array([np.nan, 1, np.nan]),
                                np.array([np.nan, 2, np.nan]))
    assert not array_equivalent(np.array(['a', 'b', 'c', 'd']),
                                np.array(['e', 'e']))
    assert array_equivalent(Float64Index([0, np.nan]),
                            Float64Index([0, np.nan]))
    assert not array_equivalent(Float64Index([0, np.nan]),
                                Float64Index([1, np.nan]))
    assert array_equivalent(DatetimeIndex([0, np.nan]),
                            DatetimeIndex([0, np.nan]))
    assert not array_equivalent(DatetimeIndex([0, np.nan]),
                                DatetimeIndex([1, np.nan]))

示例#12

def test_array_equivalent_str():
    for dtype in ['O', 'S', 'U']:
        assert array_equivalent(np.array(['A', 'B'], dtype=dtype),
                                np.array(['A', 'B'], dtype=dtype))
        assert not array_equivalent(np.array(['A', 'B'], dtype=dtype),
                                    np.array(['A', 'X'], dtype=dtype))