def __call__(self, ts, container=None, **kwargs):
'''Dump timeseries as a JSON string VBA-Excel friendly'''
from ccy import date2juldate
if istimeseries(ts):
return list(tsiterator(ts, dateconverter=date2juldate, **kwargs))
else:
raise NotImplementedError()
def __call__(self, ts, container=None, **kwargs):
'''Dump timeseries as a JSON string VBA-Excel friendly'''
from ccy import date2juldate
from dynts.utils.anyjson import JSONdatainfo
if istimeseries(ts):
return list(tsiterator(ts, dateconverter=date2juldate, **kwargs))
else:
raise NotImplementedError()
def _unwind(self):
res = self.expression.unwind(self.data,self.backend)
self._ts = None
self._xy = None
if istimeseries(res):
self._ts = res
elif res and isinstance(res,list):
tss = []
xys = []
for v in res:
if istimeseries(v):
tss.append(v)
elif isxy(v):
xys.append(v)
if tss:
self._ts = merge(tss)
if xys:
self._xy = xys
elif isxy(res):
self._xy = res
def _unwind(self):
res = self.expression.unwind(self.data, self.backend)
self._ts = None
self._xy = None
if istimeseries(res):
self._ts = res
elif res and isinstance(res, list):
tss = []
xys = []
for v in res:
if istimeseries(v):
tss.append(v)
elif isxy(v):
xys.append(v)
if tss:
self._ts = merge(tss)
if xys:
self._xy = xys
elif isxy(res):
self._xy = res
def dump(self, format, **kwargs):
ts = self.ts()
xy = self.xy()
if istimeseries(ts):
ts = ts.dump(format, **kwargs)
else:
ts = None
if xy:
if isxy(xy):
xy = [xy]
for el in xy:
ts = el.dump(format, container = ts, **kwargs)
return ts
def dump(self, format, **kwargs):
ts = self.ts()
xy = self.xy()
if istimeseries(ts):
ts = ts.dump(format, **kwargs)
else:
ts = None
if xy:
if isxy(xy):
xy = [xy]
for el in xy:
ts = el.dump(format, container=ts, **kwargs)
return ts
def __call__(self, ts, container = None, desc = False, **kwargs):
'''Dump timeseries as a JSON string VBA-Excel friendly'''
from ccy import date2juldate
from dynts.utils.anyjson import JSONdatainfo
if istimeseries(ts):
return list(tsiterator(ts,
dateconverter=date2juldate,
desc = desc))
#return JSONdatainfo(list(tsiterator(ts,
# dateconverter=date2juldate,
# desc = desc)),
# info = ts.info)
else:
raise NotImplementedError
def __call__(self,
ts,
container=None,
desc=False,
series_info=None,
**kwargs):
'''Dump timeseries as a JSON string compatible with ``flot``'''
from dynts.web import flot
from dynts.conf import settings
pydate2flot = flot.pydate2flot
result = container or flot.MultiPlot()
df = {}
series_info = series_info or df
if istimeseries(ts):
res = flot.Flot(ts.name, type='timeseries', **series_info)
dates = asarray(ts.dates())
missing = settings.ismissing
for name, serie in zip(ts.names(), ts.series()):
info = series_info.get(name, df)
data = []
append = data.append
for dt, val in zip(dates, serie):
if not missing(val):
append([pydate2flot(dt), val])
serie = flot.Serie(label=name, data=data, **info)
res.add(serie)
else:
res = flot.Flot(ts.name)
if ts.extratype:
for name, serie in zip(ts.names(), ts.series()):
serie = flot.Serie(label=serie.name,
data=serie.data,
lines={'show': serie.lines},
points={'show': True},
scatter={
'show': serie.points,
'extratype': ts.extratype
})
res.add(serie)
else:
for name, serie in zip(ts.names(), ts.series()):
serie = flot.Serie(label=serie.name,
data=serie.data,
lines={'show': serie.lines},
points={'show': serie.points})
res.add(serie)
result.add(res)
return result
def __call__(self, ts, container = None, desc = False,
series_info = None, **kwargs):
'''Dump timeseries as a JSON string compatible with ``flot``'''
from dynts.web import flot
from dynts.conf import settings
pydate2flot = flot.pydate2flot
result = container or flot.MultiPlot()
df = {}
series_info = series_info or df
if istimeseries(ts):
res = flot.Flot(ts.name, type = 'timeseries', **series_info)
dates = asarray(ts.dates())
missing = settings.ismissing
for name,serie in zip(ts.names(),ts.series()):
info = series_info.get(name,df)
data = []
append = data.append
for dt,val in zip(dates,serie):
if not missing(val):
append([pydate2flot(dt),val])
serie = flot.Serie(label = name, data = data, **info)
res.add(serie)
else:
res = flot.Flot(ts.name)
if ts.extratype:
for name,serie in zip(ts.names(),ts.series()):
serie = flot.Serie(label = serie.name,
data = serie.data,
lines = {'show':serie.lines},
points = {'show':True},
scatter = {'show':serie.points,
'extratype':ts.extratype})
res.add(serie)
else:
for name,serie in zip(ts.names(),ts.series()):
serie = flot.Serie(label = serie.name,
data = serie.data,
lines = {'show':serie.lines},
points = {'show':serie.points})
res.add(serie)
result.add(res)
return result
