Pandas Test

running: pytest --skip-slow --skip-network C:\Program Files\Python36\lib\site-packages\pandas
============================= test session starts =============================
platform win32 -- Python 3.6.2, pytest-3.2.2, py-1.4.34, pluggy-0.4.0
rootdir: C:\, inifile:
collected 10021 items / 13 skipped

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..\..\..\..\..\Program Files\Python36\lib\site-packages\pandas\tests\tseries\test_holiday.py ..........................
..\..\..\..\..\Program Files\Python36\lib\site-packages\pandas\tests\tseries\test_offsets.py ....................................................................................................................................................................................s...................................................................s..s........s..s..........................................F....
..\..\..\..\..\Program Files\Python36\lib\site-packages\pandas\tests\tseries\test_timezones.py ......................................................................................F...............................s.........F..................s...
..\..\..\..\..\Program Files\Python36\lib\site-packages\pandas\tests\util\test_hashing.py .......................
..\..\..\..\..\Program Files\Python36\lib\site-packages\pandas\tests\util\test_testing.py .............ss..................s
..\..\..\..\..\Program Files\Python36\lib\site-packages\pandas\tests\util\test_util.py ........................s.sss

================================== FAILURES ===================================
_______________________ TestMixedIntIndex.test_argsort ________________________

self = <pandas.tests.indexes.test_base.TestMixedIntIndex object at 0x00000289D3CA8E48>

    def test_argsort(self):
        idx = self.create_index()
        if PY36:
            with tm.assert_raises_regex(TypeError, "'>' not supported"):
>               result = idx.argsort()

C:\Program Files\Python36\lib\site-packages\pandas\tests\indexes\test_base.py:1822:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = Index([0, 'a', 1, 'b', 2, 'c'], dtype='object'), args = (), kwargs = {}
result = array([0, 'a', 1, 'b', 2, 'c'], dtype=object)

    def argsort(self, *args, **kwargs):
        """
            Returns the indices that would sort the index and its
            underlying data.

            Returns
            -------
            argsorted : numpy array

            See also
            --------
            numpy.ndarray.argsort
            """
        result = self.asi8
        if result is None:
            result = np.array(self)
>       return result.argsort(*args, **kwargs)
E       TypeError: '<' not supported between instances of 'str' and 'int'

C:\Program Files\Python36\lib\site-packages\pandas\core\indexes\base.py:2091: TypeError

During handling of the above exception, another exception occurred:

self = <pandas.tests.indexes.test_base.TestMixedIntIndex object at 0x00000289D3CA8E48>

    def test_argsort(self):
        idx = self.create_index()
        if PY36:
            with tm.assert_raises_regex(TypeError, "'>' not supported"):
>               result = idx.argsort()

C:\Program Files\Python36\lib\site-packages\pandas\tests\indexes\test_base.py:1822:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
C:\Program Files\Python36\lib\site-packages\pandas\util\testing.py:2545: in __exit__
    return self.exception_matches(exc_type, exc_value, trace_back)
C:\Program Files\Python36\lib\site-packages\pandas\util\testing.py:2580: in exception_matches
    raise_with_traceback(e, trace_back)
C:\Program Files\Python36\lib\site-packages\pandas\compat\__init__.py:344: in raise_with_traceback
    raise exc.with_traceback(traceback)
C:\Program Files\Python36\lib\site-packages\pandas\tests\indexes\test_base.py:1822: in test_argsort
    result = idx.argsort()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = Index([0, 'a', 1, 'b', 2, 'c'], dtype='object'), args = (), kwargs = {}
result = array([0, 'a', 1, 'b', 2, 'c'], dtype=object)

    def argsort(self, *args, **kwargs):
        """
            Returns the indices that would sort the index and its
            underlying data.

            Returns
            -------
            argsorted : numpy array

            See also
            --------
            numpy.ndarray.argsort
            """
        result = self.asi8
        if result is None:
            result = np.array(self)
>       return result.argsort(*args, **kwargs)
E       AssertionError: "'>' not supported" does not match "'<' not supported between instances of 'str' and 'int'"

C:\Program Files\Python36\lib\site-packages\pandas\core\indexes\base.py:2091: AssertionError
____________________ TestMixedIntIndex.test_numpy_argsort _____________________

obj = Index([0, 'a', 1, 'b', 2, 'c'], dtype='object'), method = 'argsort'
args = (), kwds = {'axis': -1, 'kind': 'quicksort', 'order': None}

    def _wrapfunc(obj, method, *args, **kwds):
        try:
>           return getattr(obj, method)(*args, **kwds)

C:\Program Files\Python36\lib\site-packages\numpy\core\fromnumeric.py:57:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = Index([0, 'a', 1, 'b', 2, 'c'], dtype='object'), args = ()
kwargs = {'axis': -1, 'kind': 'quicksort', 'order': None}
result = array([0, 'a', 1, 'b', 2, 'c'], dtype=object)

    def argsort(self, *args, **kwargs):
        """
            Returns the indices that would sort the index and its
            underlying data.

            Returns
            -------
            argsorted : numpy array

            See also
            --------
            numpy.ndarray.argsort
            """
        result = self.asi8
        if result is None:
            result = np.array(self)
>       return result.argsort(*args, **kwargs)
E       TypeError: '<' not supported between instances of 'str' and 'int'

C:\Program Files\Python36\lib\site-packages\pandas\core\indexes\base.py:2091: TypeError

During handling of the above exception, another exception occurred:

self = <pandas.tests.indexes.test_base.TestMixedIntIndex object at 0x00000289D3CACC18>

    def test_numpy_argsort(self):
        idx = self.create_index()
        if PY36:
            with tm.assert_raises_regex(TypeError, "'>' not supported"):
>               result = np.argsort(idx)

C:\Program Files\Python36\lib\site-packages\pandas\tests\indexes\test_base.py:1835:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

a = Index([0, 'a', 1, 'b', 2, 'c'], dtype='object'), axis = -1
kind = 'quicksort', order = None

    def argsort(a, axis=-1, kind='quicksort', order=None):
        """
        Returns the indices that would sort an array.

        Perform an indirect sort along the given axis using the algorithm specified
        by the `kind` keyword. It returns an array of indices of the same shape as
        `a` that index data along the given axis in sorted order.

        Parameters
        ----------
        a : array_like
            Array to sort.
        axis : int or None, optional
            Axis along which to sort.  The default is -1 (the last axis). If None,
            the flattened array is used.
        kind : {'quicksort', 'mergesort', 'heapsort'}, optional
            Sorting algorithm.
        order : str or list of str, optional
            When `a` is an array with fields defined, this argument specifies
            which fields to compare first, second, etc.  A single field can
            be specified as a string, and not all fields need be specified,
            but unspecified fields will still be used, in the order in which
            they come up in the dtype, to break ties.

        Returns
        -------
        index_array : ndarray, int
            Array of indices that sort `a` along the specified axis.
            If `a` is one-dimensional, ``a[index_array]`` yields a sorted `a`.

        See Also
        --------
        sort : Describes sorting algorithms used.
        lexsort : Indirect stable sort with multiple keys.
        ndarray.sort : Inplace sort.
        argpartition : Indirect partial sort.

        Notes
        -----
        See `sort` for notes on the different sorting algorithms.

        As of NumPy 1.4.0 `argsort` works with real/complex arrays containing
        nan values. The enhanced sort order is documented in `sort`.

        Examples
        --------
        One dimensional array:

        >>> x = np.array([3, 1, 2])
        >>> np.argsort(x)
        array([1, 2, 0])

        Two-dimensional array:

        >>> x = np.array([[0, 3], [2, 2]])
        >>> x
        array([[0, 3],
               [2, 2]])

        >>> np.argsort(x, axis=0)
        array([[0, 1],
               [1, 0]])

        >>> np.argsort(x, axis=1)
        array([[0, 1],
               [0, 1]])

        Sorting with keys:

        >>> x = np.array([(1, 0), (0, 1)], dtype=[('x', '<i4'), ('y', '<i4')])
        >>> x
        array([(1, 0), (0, 1)],
              dtype=[('x', '<i4'), ('y', '<i4')])

        >>> np.argsort(x, order=('x','y'))
        array([1, 0])

        >>> np.argsort(x, order=('y','x'))
        array([0, 1])

        """
>       return _wrapfunc(a, 'argsort', axis=axis, kind=kind, order=order)

C:\Program Files\Python36\lib\site-packages\numpy\core\fromnumeric.py:907:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

obj = Index([0, 'a', 1, 'b', 2, 'c'], dtype='object'), method = 'argsort'
args = (), kwds = {'axis': -1, 'kind': 'quicksort', 'order': None}

    def _wrapfunc(obj, method, *args, **kwds):
        try:
            return getattr(obj, method)(*args, **kwds)

        # An AttributeError occurs if the object does not have
        # such a method in its class.

        # A TypeError occurs if the object does have such a method
        # in its class, but its signature is not identical to that
        # of NumPy's. This situation has occurred in the case of
        # a downstream library like 'pandas'.
        except (AttributeError, TypeError):
>           return _wrapit(obj, method, *args, **kwds)

C:\Program Files\Python36\lib\site-packages\numpy\core\fromnumeric.py:67:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

obj = Index([0, 'a', 1, 'b', 2, 'c'], dtype='object'), method = 'argsort'
args = (), kwds = {'axis': -1, 'kind': 'quicksort', 'order': None}
wrap = <bound method Index.__array_wrap__ of Index([0, 'a', 1, 'b', 2, 'c'], dtype='object')>

    def _wrapit(obj, method, *args, **kwds):
        try:
            wrap = obj.__array_wrap__
        except AttributeError:
            wrap = None
>       result = getattr(asarray(obj), method)(*args, **kwds)
E       TypeError: '<' not supported between instances of 'str' and 'int'

C:\Program Files\Python36\lib\site-packages\numpy\core\fromnumeric.py:47: TypeError

During handling of the above exception, another exception occurred:

self = <pandas.tests.indexes.test_base.TestMixedIntIndex object at 0x00000289D3CACC18>

    def test_numpy_argsort(self):
        idx = self.create_index()
        if PY36:
            with tm.assert_raises_regex(TypeError, "'>' not supported"):
>               result = np.argsort(idx)

C:\Program Files\Python36\lib\site-packages\pandas\tests\indexes\test_base.py:1835:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
C:\Program Files\Python36\lib\site-packages\pandas\util\testing.py:2545: in __exit__
    return self.exception_matches(exc_type, exc_value, trace_back)
C:\Program Files\Python36\lib\site-packages\pandas\util\testing.py:2580: in exception_matches
    raise_with_traceback(e, trace_back)
C:\Program Files\Python36\lib\site-packages\pandas\compat\__init__.py:344: in raise_with_traceback
    raise exc.with_traceback(traceback)
C:\Program Files\Python36\lib\site-packages\pandas\tests\indexes\test_base.py:1835: in test_numpy_argsort
    result = np.argsort(idx)
C:\Program Files\Python36\lib\site-packages\numpy\core\fromnumeric.py:907: in argsort
    return _wrapfunc(a, 'argsort', axis=axis, kind=kind, order=order)
C:\Program Files\Python36\lib\site-packages\numpy\core\fromnumeric.py:67: in _wrapfunc
    return _wrapit(obj, method, *args, **kwds)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

obj = Index([0, 'a', 1, 'b', 2, 'c'], dtype='object'), method = 'argsort'
args = (), kwds = {'axis': -1, 'kind': 'quicksort', 'order': None}
wrap = <bound method Index.__array_wrap__ of Index([0, 'a', 1, 'b', 2, 'c'], dtype='object')>

    def _wrapit(obj, method, *args, **kwds):
        try:
            wrap = obj.__array_wrap__
        except AttributeError:
            wrap = None
>       result = getattr(asarray(obj), method)(*args, **kwds)
E       AssertionError: "'>' not supported" does not match "'<' not supported between instances of 'str' and 'int'"

C:\Program Files\Python36\lib\site-packages\numpy\core\fromnumeric.py:47: AssertionError
___________________ TestSeriesIndexing.test_basic_indexing ____________________

self = <pandas.tests.series.test_indexing.TestSeriesIndexing object at 0x00000289D8B0C9E8>

    def test_basic_indexing(self):
        s = Series(np.random.randn(5), index=['a', 'b', 'a', 'a', 'b'])

        pytest.raises(IndexError, s.__getitem__, 5)
        pytest.raises(IndexError, s.__setitem__, 5, 0)

        pytest.raises(KeyError, s.__getitem__, 'c')

        s = s.sort_index()

        pytest.raises(IndexError, s.__getitem__, 5)
>       pytest.raises(IndexError, s.__setitem__, 5, 0)
E       Failed: DID NOT RAISE <class 'IndexError'>

C:\Program Files\Python36\lib\site-packages\pandas\tests\series\test_indexing.py:1629: Failed
________________________ TestDST.test_fallback_plural _________________________

self = <pandas.tests.tseries.test_offsets.TestDST object at 0x00000289DCB38550>

    def test_fallback_plural(self):
        # test moving from daylight savings to standard time
        import dateutil
        for tz, utc_offsets in self.timezone_utc_offsets.items():
            hrs_pre = utc_offsets['utc_offset_daylight']
            hrs_post = utc_offsets['utc_offset_standard']

            if dateutil.__version__ != LooseVersion('2.6.0'):
                # buggy ambiguous behavior in 2.6.0
                # GH 14621
                # https://github.com/dateutil/dateutil/issues/321
                self._test_all_offsets(
                    n=3, tstart=self._make_timestamp(self.ts_pre_fallback,
                                                     hrs_pre, tz),
>                   expected_utc_offset=hrs_post)

C:\Program Files\Python36\lib\site-packages\pandas\tests\tseries\test_offsets.py:4860:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
C:\Program Files\Python36\lib\site-packages\pandas\tests\tseries\test_offsets.py:4803: in _test_all_offsets
    self._test_offset(offset_name=name, offset_n=n, **kwds)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <pandas.tests.tseries.test_offsets.TestDST object at 0x00000289DCB38550>
offset_name = 'minutes', offset_n = 3
tstart = Timestamp('2013-11-03 01:59:59.999999-0700', tz='dateutil/US/Pacific')
expected_utc_offset = -8

    def _test_offset(self, offset_name, offset_n, tstart, expected_utc_offset):
        offset = DateOffset(**{offset_name: offset_n})

        t = tstart + offset
        if expected_utc_offset is not None:
>           assert get_utc_offset_hours(t) == expected_utc_offset
E           AssertionError: assert -7.0 == -8
E            +  where -7.0 = get_utc_offset_hours(Timestamp('2013-11-03 01:02:59.999999-0700', tz='dateutil/US/Pacific'))

C:\Program Files\Python36\lib\site-packages\pandas\tests\tseries\test_offsets.py:4810: AssertionError
______________ TestTimeZoneSupportDateutil.test_ambiguous_flags _______________

self = <pandas.tests.tseries.test_timezones.TestTimeZoneSupportDateutil object at 0x00000289DCB37B70>

    def test_ambiguous_flags(self):
        # November 6, 2011, fall back, repeat 2 AM hour
        tz = self.tz('US/Eastern')

        # Pass in flags to determine right dst transition
        dr = date_range(datetime(2011, 11, 6, 0), periods=5,
                        freq=offsets.Hour(), tz=tz)
        times = ['11/06/2011 00:00', '11/06/2011 01:00', '11/06/2011 01:00',
                 '11/06/2011 02:00', '11/06/2011 03:00']

        # Test tz_localize
        di = DatetimeIndex(times)
        is_dst = [1, 1, 0, 0, 0]
        localized = di.tz_localize(tz, ambiguous=is_dst)
        tm.assert_index_equal(dr, localized)
        tm.assert_index_equal(dr, DatetimeIndex(times, tz=tz,
                                                ambiguous=is_dst))

        localized = di.tz_localize(tz, ambiguous=np.array(is_dst))
        tm.assert_index_equal(dr, localized)

        localized = di.tz_localize(tz,
                                   ambiguous=np.array(is_dst).astype('bool'))
        tm.assert_index_equal(dr, localized)

        # Test constructor
        localized = DatetimeIndex(times, tz=tz, ambiguous=is_dst)
        tm.assert_index_equal(dr, localized)

        # Test duplicate times where infer_dst fails
        times += times
        di = DatetimeIndex(times)

        # When the sizes are incompatible, make sure error is raised
        pytest.raises(Exception, di.tz_localize, tz, ambiguous=is_dst)

        # When sizes are compatible and there are repeats ('infer' won't work)
        is_dst = np.hstack((is_dst, is_dst))
        localized = di.tz_localize(tz, ambiguous=is_dst)
        dr = dr.append(dr)
        tm.assert_index_equal(dr, localized)

        # When there is no dst transition, nothing special happens
        dr = date_range(datetime(2011, 6, 1, 0), periods=10,
                        freq=offsets.Hour())
        is_dst = np.array([1] * 10)
        localized = dr.tz_localize(tz)
        localized_is_dst = dr.tz_localize(tz, ambiguous=is_dst)
        tm.assert_index_equal(localized, localized_is_dst)

        # construction with an ambiguous end-point
        # GH 11626
        tz = self.tzstr("Europe/London")

        def f():
            date_range("2013-10-26 23:00", "2013-10-27 01:00",
                       tz="Europe/London", freq="H")
            pytest.raises(pytz.AmbiguousTimeError, f)

        times = date_range("2013-10-26 23:00", "2013-10-27 01:00", freq="H",
                           tz=tz, ambiguous='infer')
        assert times[0] == Timestamp('2013-10-26 23:00', tz=tz, freq="H")

        if dateutil.__version__ != LooseVersion('2.6.0'):
            # see gh-14621
>           assert times[-1] == Timestamp('2013-10-27 01:00:00+0000',
                                          tz=tz, freq="H")
E           AssertionError: assert Timestamp('2013-10-27 01:00:00+0100', tz='dateutil/GB-Eire', freq='H') == Timestamp('2013-10-27 02:00:00+0100', tz='dateutil/GB-Eire', freq='H')
E            +  where Timestamp('2013-10-27 02:00:00+0100', tz='dateutil/GB-Eire', freq='H') = Timestamp('2013-10-27 01:00:00+0000', tz='dateutil/Europe/London', freq='H')

C:\Program Files\Python36\lib\site-packages\pandas\tests\tseries\test_timezones.py:567: AssertionError
_____________________ TestTimeZones.test_ambiguous_compat _____________________

self = <pandas.tests.tseries.test_timezones.TestTimeZones object at 0x00000289DCE12A20>

    def test_ambiguous_compat(self):
        # validate that pytz and dateutil are compat for dst
        # when the transition happens
        tm._skip_if_no_dateutil()
        tm._skip_if_no_pytz()

        pytz_zone = 'Europe/London'
        dateutil_zone = 'dateutil/Europe/London'
        result_pytz = (Timestamp('2013-10-27 01:00:00')
                       .tz_localize(pytz_zone, ambiguous=0))
        result_dateutil = (Timestamp('2013-10-27 01:00:00')
                           .tz_localize(dateutil_zone, ambiguous=0))
        assert result_pytz.value == result_dateutil.value
        assert result_pytz.value == 1382835600000000000

        # dateutil 2.6 buggy w.r.t. ambiguous=0
        if dateutil.__version__ != LooseVersion('2.6.0'):
            # see gh-14621
            # see https://github.com/dateutil/dateutil/issues/321
>           assert (result_pytz.to_pydatetime().tzname() ==
                    result_dateutil.to_pydatetime().tzname())
E           AssertionError: assert 'GMT' == 'BST'
E             - GMT
E             + BST

C:\Program Files\Python36\lib\site-packages\pandas\tests\tseries\test_timezones.py:1263: AssertionError
============================== warnings summary ===============================
Program Files/Python36/lib/site-packages/pandas/tests/dtypes/test_missing.py::test_array_equivalent_compat
  C:\Program Files\Python36\lib\site-packages\numpy\core\numeric.py:2604: FutureWarning: elementwise == comparison failed and returning scalar instead; this will raise an error or perform elementwise comparison in the future.
    return bool(asarray(a1 == a2).all())

-- Docs: http://doc.pytest.org/en/latest/warnings.html
 6 failed, 8575 passed, 1441 skipped, 12 xfailed, 1 warnings in 768.27 seconds