Python compat.is_platform_windows方法代码示例

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_read_csv_local(all_parsers, csv1):
    prefix = u("file:///") if compat.is_platform_windows() else u("file://")
    parser = all_parsers

    fname = prefix + compat.text_type(os.path.abspath(csv1))
    result = parser.read_csv(fname, index_col=0, parse_dates=True)

    expected = DataFrame([[0.980269, 3.685731, -0.364216805298, -1.159738],
                          [1.047916, -0.041232, -0.16181208307, 0.212549],
                          [0.498581, 0.731168, -0.537677223318, 1.346270],
                          [1.120202, 1.567621, 0.00364077397681, 0.675253],
                          [-0.487094, 0.571455, -1.6116394093, 0.103469],
                          [0.836649, 0.246462, 0.588542635376, 1.062782],
                          [-0.157161, 1.340307, 1.1957779562, -1.097007]],
                         columns=["A", "B", "C", "D"],
                         index=Index([datetime(2000, 1, 3),
                                      datetime(2000, 1, 4),
                                      datetime(2000, 1, 5),
                                      datetime(2000, 1, 6),
                                      datetime(2000, 1, 7),
                                      datetime(2000, 1, 10),
                                      datetime(2000, 1, 11)], name="index"))
    tm.assert_frame_equal(result, expected) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_constructor_bad_file(self, mmap_file):
        non_file = StringIO('I am not a file')
        non_file.fileno = lambda: -1

        # the error raised is different on Windows
        if is_platform_windows():
            msg = "The parameter is incorrect"
            err = OSError
        else:
            msg = "[Errno 22]"
            err = mmap.error

        with pytest.raises(err, match=msg):
            icom.MMapWrapper(non_file)

        target = open(mmap_file, 'r')
        target.close()

        msg = "I/O operation on closed file"
        with pytest.raises(ValueError, match=msg):
            icom.MMapWrapper(target) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_constructor_bad_file(self, mmap_file):
        non_file = StringIO('I am not a file')
        non_file.fileno = lambda: -1

        # the error raised is different on Windows
        if is_platform_windows():
            msg = "The parameter is incorrect"
            err = OSError
        else:
            msg = "[Errno 22]"
            err = mmap.error

        tm.assert_raises_regex(err, msg, common.MMapWrapper, non_file)

        target = open(mmap_file, 'r')
        target.close()

        msg = "I/O operation on closed file"
        tm.assert_raises_regex(
            ValueError, msg, common.MMapWrapper, target) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_intersect(self):
        def _check_correct(a, b, expected):
            result = a.intersect(b)
            assert (result.equals(expected))

        def _check_length_exc(a, longer):
            pytest.raises(Exception, a.intersect, longer)

        def _check_case(xloc, xlen, yloc, ylen, eloc, elen):
            xindex = BlockIndex(TEST_LENGTH, xloc, xlen)
            yindex = BlockIndex(TEST_LENGTH, yloc, ylen)
            expected = BlockIndex(TEST_LENGTH, eloc, elen)
            longer_index = BlockIndex(TEST_LENGTH + 1, yloc, ylen)

            _check_correct(xindex, yindex, expected)
            _check_correct(xindex.to_int_index(), yindex.to_int_index(),
                           expected.to_int_index())

            _check_length_exc(xindex, longer_index)
            _check_length_exc(xindex.to_int_index(),
                              longer_index.to_int_index())

        if compat.is_platform_windows():
            pytest.skip("segfaults on win-64 when all tests are run")
        check_cases(_check_case) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_numpy_array_equal_object_message(self):

        if is_platform_windows():
            pytest.skip("windows has incomparable line-endings "
                        "and uses L on the shape")

        a = np.array([pd.Timestamp('2011-01-01'), pd.Timestamp('2011-01-01')])
        b = np.array([pd.Timestamp('2011-01-01'), pd.Timestamp('2011-01-02')])

        expected = """numpy array are different

numpy array values are different \\(50\\.0 %\\)
\\[left\\]:  \\[2011-01-01 00:00:00, 2011-01-01 00:00:00\\]
\\[right\\]: \\[2011-01-01 00:00:00, 2011-01-02 00:00:00\\]"""

        with tm.assert_raises_regex(AssertionError, expected):
            assert_numpy_array_equal(a, b)
        with tm.assert_raises_regex(AssertionError, expected):
            assert_almost_equal(a, b) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_pass_dtype_as_recarray(self):
        if compat.is_platform_windows() and self.low_memory:
            pytest.skip(
                "segfaults on win-64, only when all tests are run")

        data = """\
one,two
1,2.5
2,3.5
3,4.5
4,5.5"""

        with tm.assert_produces_warning(
                FutureWarning, check_stacklevel=False):
            result = self.read_csv(StringIO(data), dtype={
                'one': 'u1', 1: 'S1'}, as_recarray=True)
            assert result['one'].dtype == 'u1'
            assert result['two'].dtype == 'S1' 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_constructor_bad_file(self):
        non_file = StringIO('I am not a file')
        non_file.fileno = lambda: -1

        # the error raised is different on Windows
        if is_platform_windows():
            msg = "The parameter is incorrect"
            err = OSError
        else:
            msg = "[Errno 22]"
            err = mmap.error

        tm.assert_raises_regex(err, msg, common.MMapWrapper, non_file)

        target = open(self.mmap_file, 'r')
        target.close()

        msg = "I/O operation on closed file"
        tm.assert_raises_regex(
            ValueError, msg, common.MMapWrapper, target) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_invalid_index_types(self):

        # test all index types
        for i in [tm.makeIntIndex(10), tm.makeFloatIndex(10),
                  tm.makePeriodIndex(10)]:
            pytest.raises(TypeError, lambda: frequencies.infer_freq(i))

        # GH 10822
        # odd error message on conversions to datetime for unicode
        if not is_platform_windows():
            for i in [tm.makeStringIndex(10), tm.makeUnicodeIndex(10)]:
                pytest.raises(ValueError, lambda: frequencies.infer_freq(i)) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_convert_rows_list_to_csv_str():
    rows_list = ["aaa", "bbb", "ccc"]
    ret = tm.convert_rows_list_to_csv_str(rows_list)

    if compat.is_platform_windows():
        expected = "aaa\r\nbbb\r\nccc\r\n"
    else:
        expected = "aaa\nbbb\nccc\n"

    assert ret == expected 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_itertuples(self):
        for i, tup in enumerate(self.frame.itertuples()):
            s = self.klass._constructor_sliced(tup[1:])
            s.name = tup[0]
            expected = self.frame.iloc[i, :].reset_index(drop=True)
            self._assert_series_equal(s, expected)

        df = self.klass({'floats': np.random.randn(5),
                         'ints': lrange(5)}, columns=['floats', 'ints'])

        for tup in df.itertuples(index=False):
            assert isinstance(tup[1], (int, long))

        df = self.klass(data={"a": [1, 2, 3], "b": [4, 5, 6]})
        dfaa = df[['a', 'a']]

        assert (list(dfaa.itertuples()) ==
                [(0, 1, 1), (1, 2, 2), (2, 3, 3)])

        # repr with be int/long on 32-bit/windows
        if not (compat.is_platform_windows() or compat.is_platform_32bit()):
            assert (repr(list(df.itertuples(name=None))) ==
                    '[(0, 1, 4), (1, 2, 5), (2, 3, 6)]')

        tup = next(df.itertuples(name='TestName'))
        assert tup._fields == ('Index', 'a', 'b')
        assert (tup.Index, tup.a, tup.b) == tup
        assert type(tup).__name__ == 'TestName'

        df.columns = ['def', 'return']
        tup2 = next(df.itertuples(name='TestName'))
        assert tup2 == (0, 1, 4)
        assert tup2._fields == ('Index', '_1', '_2')

        df3 = DataFrame({'f' + str(i): [i] for i in range(1024)})
        # will raise SyntaxError if trying to create namedtuple
        tup3 = next(df3.itertuples())
        assert not hasattr(tup3, '_fields')
        assert isinstance(tup3, tuple) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_read_csv(self):
        if not compat.PY3:
            if compat.is_platform_windows():
                prefix = u("file:///")
            else:
                prefix = u("file://")

            fname = prefix + compat.text_type(os.path.abspath(self.csv1))
            self.read_csv(fname, index_col=0, parse_dates=True) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def _assert_replace_conversion(self, from_key, to_key, how):
        index = pd.Index([3, 4], name='xxx')
        obj = pd.Series(self.rep[from_key], index=index, name='yyy')
        assert obj.dtype == from_key

        if (from_key.startswith('datetime') and to_key.startswith('datetime')):
            # different tz, currently mask_missing raises SystemError
            return

        if how == 'dict':
            replacer = dict(zip(self.rep[from_key], self.rep[to_key]))
        elif how == 'series':
            replacer = pd.Series(self.rep[to_key], index=self.rep[from_key])
        else:
            raise ValueError

        result = obj.replace(replacer)

        if ((from_key == 'float64' and to_key in ('int64')) or
            (from_key == 'complex128' and
             to_key in ('int64', 'float64'))):

            # buggy on 32-bit / window
            if compat.is_platform_32bit() or compat.is_platform_windows():
                pytest.skip("32-bit platform buggy: {0} -> {1}".format
                            (from_key, to_key))

            # Expected: do not downcast by replacement
            exp = pd.Series(self.rep[to_key], index=index,
                            name='yyy', dtype=from_key)

        else:
            exp = pd.Series(self.rep[to_key], index=index, name='yyy')
            assert exp.dtype == to_key

        tm.assert_series_equal(result, exp) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_replace_series(self, how, to_key, from_key):
        if from_key == 'bool' and how == 'series' and compat.PY3:
            # doesn't work in PY3, though ...dict_from_bool works fine
            pytest.skip("doesn't work as in PY3")

        index = pd.Index([3, 4], name='xxx')
        obj = pd.Series(self.rep[from_key], index=index, name='yyy')
        assert obj.dtype == from_key

        if (from_key.startswith('datetime') and to_key.startswith('datetime')):
            # tested below
            return
        elif from_key in ['datetime64[ns, US/Eastern]', 'datetime64[ns, UTC]']:
            # tested below
            return

        if how == 'dict':
            replacer = dict(zip(self.rep[from_key], self.rep[to_key]))
        elif how == 'series':
            replacer = pd.Series(self.rep[to_key], index=self.rep[from_key])
        else:
            raise ValueError

        result = obj.replace(replacer)

        if ((from_key == 'float64' and to_key in ('int64')) or
            (from_key == 'complex128' and
             to_key in ('int64', 'float64'))):

            if compat.is_platform_32bit() or compat.is_platform_windows():
                pytest.skip("32-bit platform buggy: {0} -> {1}".format
                            (from_key, to_key))

            # Expected: do not downcast by replacement
            exp = pd.Series(self.rep[to_key], index=index,
                            name='yyy', dtype=from_key)

        else:
            exp = pd.Series(self.rep[to_key], index=index, name='yyy')
            assert exp.dtype == to_key

        tm.assert_series_equal(result, exp)

    # TODO(jbrockmendel) commented out to only have a single xfail printed 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import is_platform_windows [as 别名]
def test_itertuples(self):
        for i, tup in enumerate(self.frame.itertuples()):
            s = self.klass._constructor_sliced(tup[1:])
            s.name = tup[0]
            expected = self.frame.iloc[i, :].reset_index(drop=True)
            self._assert_series_equal(s, expected)

        df = self.klass({'floats': np.random.randn(5),
                         'ints': lrange(5)}, columns=['floats', 'ints'])

        for tup in df.itertuples(index=False):
            assert isinstance(tup[1], (int, long))

        df = self.klass(data={"a": [1, 2, 3], "b": [4, 5, 6]})
        dfaa = df[['a', 'a']]

        assert (list(dfaa.itertuples()) ==
                [(0, 1, 1), (1, 2, 2), (2, 3, 3)])

        # repr with be int/long on 32-bit/windows
        if not (compat.is_platform_windows() or compat.is_platform_32bit()):
            assert (repr(list(df.itertuples(name=None))) ==
                    '[(0, 1, 4), (1, 2, 5), (2, 3, 6)]')

        tup = next(df.itertuples(name='TestName'))

        if sys.version >= LooseVersion('2.7'):
            assert tup._fields == ('Index', 'a', 'b')
            assert (tup.Index, tup.a, tup.b) == tup
            assert type(tup).__name__ == 'TestName'

        df.columns = ['def', 'return']
        tup2 = next(df.itertuples(name='TestName'))
        assert tup2 == (0, 1, 4)

        if sys.version >= LooseVersion('2.7'):
            assert tup2._fields == ('Index', '_1', '_2')

        df3 = DataFrame(dict(('f' + str(i), [i]) for i in range(1024)))
        # will raise SyntaxError if trying to create namedtuple
        tup3 = next(df3.itertuples())
        assert not hasattr(tup3, '_fields')
        assert isinstance(tup3, tuple)