Python StringIO.getvalue方法代码示例

# 需要导入模块: from pandas.util.py3compat import StringIO [as 别名]
# 或者: from pandas.util.py3compat.StringIO import getvalue [as 别名]
    class UnicodeWriter:
        """
        A CSV writer which will write rows to CSV file "f",
        which is encoded in the given encoding.
        """

        def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
            # Redirect output to a queue
            self.queue = StringIO()
            self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
            self.stream = f
            self.encoder = codecs.getincrementalencoder(encoding)()

        def writerow(self, row):
            row = [x if isinstance(x, basestring) else str(x) for x in row]
            self.writer.writerow([s.encode("utf-8") for s in row])
            # Fetch UTF-8 output from the queue ...
            data = self.queue.getvalue()
            data = data.decode("utf-8")
            # ... and reencode it into the target encoding
            data = self.encoder.encode(data)
            # write to the target stream
            self.stream.write(data)
            # empty queue
            self.queue.truncate(0)

# 需要导入模块: from pandas.util.py3compat import StringIO [as 别名]
# 或者: from pandas.util.py3compat.StringIO import getvalue [as 别名]
    def _coef_table(self):
        buffer = StringIO()
        buffer.write('%13s %13s %13s %13s %13s %13s\n' %
                    ('Variable', 'Beta', 'Std Err', 't-stat', 'CI 2.5%', 'CI 97.5%'))
        template = '%13s %13.4f %13.4f %13.2f %13.4f %13.4f\n'

        for i, name in enumerate(self._cols):
            if i and not (i % 5):
                buffer.write('\n' + common.banner(''))

            mean_beta = self._results['mean_beta'][i]
            std_beta = self._results['std_beta'][i]
            t_stat = self._results['t_stat'][i]
            ci1 = mean_beta - 1.96 * std_beta
            ci2 = mean_beta + 1.96 * std_beta

            values = '(%s)' % name, mean_beta, std_beta, t_stat, ci1, ci2

            buffer.write(template % values)

        if self._nw_lags_beta is not None:
            buffer.write('\n')
            buffer.write('*** The Std Err, t-stat are Newey-West '
                         'adjusted with Lags %5d\n' % self._nw_lags_beta)

        return buffer.getvalue()

# 需要导入模块: from pandas.util.py3compat import StringIO [as 别名]
# 或者: from pandas.util.py3compat.StringIO import getvalue [as 别名]
    class UnicodeWriter:
        """
        A CSV writer which will write rows to CSV file "f",
        which is encoded in the given encoding.
        """

        def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
            # Redirect output to a queue
            self.queue = StringIO()
            self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
            self.stream = f
            self.encoder = codecs.getincrementalencoder(encoding)()
            self.quoting = kwds.get("quoting", None)

        def writerow(self, row):
            def _check_as_is(x):
                return (self.quoting == csv.QUOTE_NONNUMERIC and
                        is_number(x)) or isinstance(x, str)

            row = [x if _check_as_is(x)
                   else pprint_thing(x).encode('utf-8') for x in row]

            self.writer.writerow([s for s in row])
            # Fetch UTF-8 output from the queue ...
            data = self.queue.getvalue()
            data = data.decode("utf-8")
            # ... and reencode it into the target encoding
            data = self.encoder.encode(data)
            # write to the target stream
            self.stream.write(data)
            # empty queue
            self.queue.truncate(0)

# 需要导入模块: from pandas.util.py3compat import StringIO [as 别名]
# 或者: from pandas.util.py3compat.StringIO import getvalue [as 别名]
def generate_from_template(template, ndim=1, exclude=None):
    output = StringIO()
    for name, c_type, dtype, can_hold_na in function_list:
        if exclude is not None and name in exclude:
            continue

        func = template % {'name': name, 'c_type': c_type,
                           'dtype': dtype,
                           'raise_on_na': 'False' if can_hold_na else 'True'}
        output.write(func)
    return output.getvalue()

# 需要导入模块: from pandas.util.py3compat import StringIO [as 别名]
# 或者: from pandas.util.py3compat.StringIO import getvalue [as 别名]
    def test_verbose_import(self):
        text = """a,b,c,d
one,1,2,3
one,1,2,3
,1,2,3
one,1,2,3
,1,2,3
,1,2,3
one,1,2,3
two,1,2,3"""

        buf = StringIO()
        sys.stdout = buf

        try:
            # it works!
            df = read_csv(StringIO(text), verbose=True)
            self.assert_(buf.getvalue() == 'Filled 3 NA values in column a\n')
        finally:
            sys.stdout = sys.__stdout__

        buf = StringIO()
        sys.stdout = buf

        text = """a,b,c,d
one,1,2,3
two,1,2,3
three,1,2,3
four,1,2,3
five,1,2,3
,1,2,3
seven,1,2,3
eight,1,2,3"""

        try:
            # it works!
            df = read_csv(StringIO(text), verbose=True, index_col=0)
            self.assert_(buf.getvalue() == 'Found 1 NA values in the index\n')
        finally:
            sys.stdout = sys.__stdout__

# 需要导入模块: from pandas.util.py3compat import StringIO [as 别名]
# 或者: from pandas.util.py3compat.StringIO import getvalue [as 别名]
def generate_put_functions():
    function_list = [
        ('float64', 'float64_t', 'object'),
        ('float64', 'float64_t', 'float64_t'),
        ('object', 'object', 'object'),
        ('int32', 'int32_t', 'int64_t'),
        ('int32', 'int32_t', 'float64_t'),
        ('int32', 'int32_t', 'object'),
        ('int64', 'int64_t', 'int64_t'),
        ('int64', 'int64_t', 'float64_t'),
        ('int64', 'int64_t', 'object'),
        ('bool', 'uint8_t', 'uint8_t'),
        ('bool', 'uint8_t', 'object')
    ]

    output = StringIO()
    for name, c_type, dest_type in function_list:
        func = put2d_template % {'name' : name, 'c_type' : c_type,
                                 'dest_type' : dest_type.replace('_t', ''),
                                 'dest_type2' : dest_type}
        output.write(func)
    return output.getvalue()

# 需要导入模块: from pandas.util.py3compat import StringIO [as 别名]
# 或者: from pandas.util.py3compat.StringIO import getvalue [as 别名]
def generate_ensure_dtypes():
    output = StringIO()
    for name, ctype, dtype in ensure_functions:
        filled = ensure_dtype_template % locals()
        output.write(filled)
    return output.getvalue()