def export_set(dataset):
"""Returns CSV representation of Dataset."""
stream = StringIO()
if is_py3:
_csv = csv.writer(stream)
else:
_csv = csv.writer(stream, encoding=DEFAULT_ENCODING)
for row in dataset._package(dicts=False):
_csv.writerow(row)
return stream.getvalue()
def export_set(dataset):
"""Returns CSV representation of Dataset."""
stream = StringIO()
if is_py3:
_csv = csv.writer(stream)
else:
_csv = csv.writer(stream, encoding=DEFAULT_ENCODING)
for row in dataset._package(dicts=False):
_csv.writerow(row)
return stream.getvalue()
def export_set(dataset, **kwargs):
"""Returns CSV representation of Dataset."""
stream = StringIO()
kwargs.setdefault('delimiter', DEFAULT_DELIMITER)
_csv = csv.writer(stream, **kwargs)
for row in dataset._package(dicts=False):
_csv.writerow(row)
return stream.getvalue()
def export_set(dataset, **kwargs):
"""Returns CSV representation of Dataset."""
stream = StringIO()
date_format = kwargs.pop('date_format', None)
kwargs.setdefault('delimiter', DEFAULT_DELIMITER)
if not is_py3:
kwargs.setdefault('encoding', DEFAULT_ENCODING)
_csv = csv.writer(stream, **kwargs)
for row in dataset._package(dicts=False):
if date_format:
for idx, value in enumerate(row):
if isinstance(value, date) or isinstance(value, datetime):
row[idx] = value.strftime(date_format)
_csv.writerow(row)
return stream.getvalue()
