def __call__(self, ts, filename = None, title = None, raw = False, **kwargs):
'''Dump the timeseries to an xls representation.
This function requires the python xlwt__ package.
__ http://pypi.python.org/pypi/xlwt'''
try:
import xlwt
except ImportError:
raise FormattingException('To save the timeseries as a spreadsheet, the xlwt python library is required.')
if isinstance(filename,xlwt.Workbook):
wb = filename
else:
wb = xlwt.Workbook()
title = title or ts.name
stream = StreamIO()
sheet = wb.add_sheet(title)
for i,row in enumerate(tsiterator(ts)):
for j,col in enumerate(row):
sheet.write(i,j,str(col))
if raw:
return wb
else:
stream = StreamIO()
wb.save(stream)
return stream.getvalue()
def __call__(self, ts, filename=None, title=None, raw=False, **kwargs):
'''Dump the timeseries to an xls representation.
This function requires the python xlwt__ package.
__ http://pypi.python.org/pypi/xlwt'''
try:
import xlwt
except ImportError:
raise FormattingException(
'To save the timeseries as a spreadsheet, the xlwt python library is required.'
)
if isinstance(filename, xlwt.Workbook):
wb = filename
else:
wb = xlwt.Workbook()
title = title or ts.name
stream = StreamIO()
sheet = wb.add_sheet(title)
for i, row in enumerate(tsiterator(ts)):
for j, col in enumerate(row):
sheet.write(i, j, str(col))
if raw:
return wb
else:
stream = StreamIO()
wb.save(stream)
return stream.getvalue()
def __call__(self, ts, filename = None, **kwargs):
'''Returns CSV representation of a :class:`dynts.TimeSeries`.'''
stream = StreamIO()
_csv = csv.writer(stream)
for row in tsiterator(ts):
_csv.writerow(row)
return stream.getvalue()
def __call__(self, ts, filename=None, **kwargs):
'''Returns CSV representation of a :class:`dynts.TimeSeries`.'''
stream = StreamIO()
_csv = csv.writer(stream)
for row in tsiterator(ts):
_csv.writerow(row)
return stream.getvalue()