Python compat.text_type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 text_type [as 别名]
def test_repr_roundtrip(self):

        ci = CategoricalIndex(['a', 'b'], categories=['a', 'b'], ordered=True)
        str(ci)
        tm.assert_index_equal(eval(repr(ci)), ci, exact=True)

        # formatting
        if PY3:
            str(ci)
        else:
            compat.text_type(ci)

        # long format
        # this is not reprable
        ci = CategoricalIndex(np.random.randint(0, 5, size=100))
        if PY3:
            str(ci)
        else:
            compat.text_type(ci) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def test_map_with_string_constructor(self):
        raw = [2005, 2007, 2009]
        index = PeriodIndex(raw, freq='A')
        types = str,

        if PY3:
            # unicode
            types += text_type,

        for t in types:
            expected = Index(lmap(t, raw))
            res = index.map(t)

            # should return an Index
            assert isinstance(res, Index)

            # preserve element types
            assert all(isinstance(resi, t) for resi in res)

            # lastly, values should compare equal
            tm.assert_index_equal(res, expected) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [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 text_type [as 别名]
def _evaluate(self):
        import numexpr as ne

        # convert the expression to a valid numexpr expression
        s = self.convert()

        try:
            env = self.expr.env
            scope = env.full_scope
            truediv = scope['truediv']
            _check_ne_builtin_clash(self.expr)
            return ne.evaluate(s, local_dict=scope, truediv=truediv)
        except KeyError as e:
            # python 3 compat kludge
            try:
                msg = e.message
            except AttributeError:
                msg = compat.text_type(e)
            raise UndefinedVariableError(msg) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def _get_footer(self):
        footer = ''

        if self.length:
            if footer:
                footer += ', '
            footer += "Length: {length}".format(length=len(self.categorical))

        level_info = self.categorical._repr_categories_info()

        # Levels are added in a newline
        if footer:
            footer += '\n'
        footer += level_info

        return compat.text_type(footer) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def to_string(self):
        categorical = self.categorical

        if len(categorical) == 0:
            if self.footer:
                return self._get_footer()
            else:
                return u('')

        fmt_values = self._get_formatted_values()

        result = [u('{i}').format(i=i) for i in fmt_values]
        result = [i.strip() for i in result]
        result = u(', ').join(result)
        result = [u('[') + result + u(']')]
        if self.footer:
            footer = self._get_footer()
            if footer:
                result.append(footer)

        return compat.text_type(u('\n').join(result)) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def __init__(self, filepath_or_buffer, index=None, encoding='ISO-8859-1',
                 chunksize=None):

        self._encoding = encoding
        self._lines_read = 0
        self._index = index
        self._chunksize = chunksize

        if isinstance(filepath_or_buffer, str):
            (filepath_or_buffer, encoding,
             compression, should_close) = get_filepath_or_buffer(
                filepath_or_buffer, encoding=encoding)

        if isinstance(filepath_or_buffer, (str, compat.text_type, bytes)):
            self.filepath_or_buffer = open(filepath_or_buffer, 'rb')
        else:
            # Copy to BytesIO, and ensure no encoding
            contents = filepath_or_buffer.read()
            try:
                contents = contents.encode(self._encoding)
            except UnicodeEncodeError:
                pass
            self.filepath_or_buffer = compat.BytesIO(contents)

        self._read_header() 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def __init__(self, filepath_or_buffer, index=None, encoding='ISO-8859-1',
                 chunksize=None):

        self._encoding = encoding
        self._lines_read = 0
        self._index = index
        self._chunksize = chunksize

        if isinstance(filepath_or_buffer, str):
            (filepath_or_buffer, encoding,
             compression, should_close) = get_filepath_or_buffer(
                filepath_or_buffer, encoding=encoding)

        if isinstance(filepath_or_buffer, (str, compat.text_type, bytes)):
            self.filepath_or_buffer = open(filepath_or_buffer, 'rb')
        else:
            # Copy to BytesIO, and ensure no encoding
            contents = filepath_or_buffer.read()
            try:
                contents = contents.encode(self._encoding)
            except:
                pass
            self.filepath_or_buffer = compat.BytesIO(contents)

        self._read_header() 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def init_qt_clipboard():
    # $DISPLAY should exist

    # Try to import from qtpy, but if that fails try PyQt5 then PyQt4
    try:
        from qtpy.QtWidgets import QApplication
    except ImportError:
        try:
            from PyQt5.QtWidgets import QApplication
        except ImportError:
            from PyQt4.QtGui import QApplication

    app = QApplication.instance()
    if app is None:
        app = QApplication([])

    def copy_qt(text):
        cb = app.clipboard()
        cb.setText(text)

    def paste_qt():
        cb = app.clipboard()
        return text_type(cb.text())

    return copy_qt, paste_qt 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def test_map_with_string_constructor(self):
        raw = [2005, 2007, 2009]
        index = PeriodIndex(raw, freq='A')
        types = str,

        if compat.PY3:
            # unicode
            types += compat.text_type,

        for t in types:
            expected = np.array(lmap(t, raw), dtype=object)
            res = index.map(t)

            # should return an array
            tm.assert_isinstance(res, np.ndarray)

            # preserve element types
            self.assert_(all(isinstance(resi, t) for resi in res))

            # dtype should be object
            self.assertEqual(res.dtype, np.dtype('object').type)

            # lastly, values should compare equal
            assert_array_equal(res, expected) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def _evaluate(self):
        import numexpr as ne

        # add the resolvers to locals
        self.expr.add_resolvers_to_locals()

        # convert the expression to a valid numexpr expression
        s = self.convert()

        try:
            return ne.evaluate(s, local_dict=self.expr.env.locals,
                               global_dict=self.expr.env.globals,
                               truediv=self.expr.truediv)
        except KeyError as e:
            # python 3 compat kludge
            try:
                msg = e.message
            except AttributeError:
                msg = compat.text_type(e)
            raise UndefinedVariableError(msg) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def to_string(self):
        series = self.series

        if len(series) == 0:
            return u('')

        fmt_index, have_header = self._get_formatted_index()
        fmt_values = self._get_formatted_values()

        maxlen = max(len(x) for x in fmt_index)
        pad_space = min(maxlen, 60)

        result = ['%s   %s'] * len(fmt_values)
        for i, (k, v) in enumerate(zip(fmt_index[1:], fmt_values)):
            idx = k.ljust(pad_space)
            result[i] = result[i] % (idx, v)

        if self.header and have_header:
            result.insert(0, fmt_index[0])

        footer = self._get_footer()
        if footer:
            result.append(footer)

        return compat.text_type(u('\n').join(result)) 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def _get_repr(
        self, name=False, print_header=False, length=True, dtype=True,
            na_rep='NaN', float_format=None):
        """

        Internal function, should always return unicode string
        """

        formatter = fmt.SeriesFormatter(self, name=name, header=print_header,
                                        length=length, dtype=dtype,
                                        na_rep=na_rep,
                                        float_format=float_format)
        result = formatter.to_string()

        # TODO: following check prob. not neces.
        if not isinstance(result, compat.text_type):
            raise AssertionError("result must be of type unicode, type"
                                 " of result is {0!r}"
                                 "".format(result.__class__.__name__))
        return result 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def __init__(self, path_or_buf, encoding='cp1252'):
        super(StataReader, self).__init__(encoding)
        self.col_sizes = ()
        self._has_string_data = False
        self._missing_values = False
        self._data_read = False
        self._value_labels_read = False
        if isinstance(path_or_buf, str):
            path_or_buf, encoding = get_filepath_or_buffer(
                path_or_buf, encoding=self._default_encoding
            )

        if isinstance(path_or_buf, (str, compat.text_type, bytes)):
            self.path_or_buf = open(path_or_buf, 'rb')
        else:
            self.path_or_buf = path_or_buf

        self._read_header() 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import text_type [as 别名]
def test_array_repr_unicode(self, data):
        result = compat.text_type(data)
        assert isinstance(result, compat.text_type)