def no_trend(self):
try:
return [calculator.step(
data=self.pandas_timeseries,
bp=0,
alpha=float(self.request.session[
'trend_detection']['spinner_0']['value']),
detrend_anyway=True
)]
except KeyError:
return
def no_trend(self):
try:
return [
calculator.step(
data=self.pandas_timeseries,
bp=0,
alpha=float(self.request.session['trend_detection']
['spinner_0']['value']),
detrend_anyway=True)
]
except KeyError:
return
def step_trend(self):
try:
split = int(self.request.session['trend_detection']['graph']['x'])
if split == 0:
return
breakpoint = jsdt.js_to_datetime(split)
return [calculator.step(
data=self.pandas_timeseries,
bp=int(self.pandas_timeseries.index.searchsorted(breakpoint)),
alpha=float(self.request.session[
'trend_detection']['spinner_0']['value']),
detrend_anyway=True
)]
except KeyError:
return
def step_trend(self):
try:
split = int(self.request.session['trend_detection']['graph']['x'])
if split == 0:
return
breakpoint = jsdt.js_to_datetime(split)
return [
calculator.step(
data=self.pandas_timeseries,
bp=int(
self.pandas_timeseries.index.searchsorted(breakpoint)),
alpha=float(self.request.session['trend_detection']
['spinner_0']['value']),
detrend_anyway=True)
]
except KeyError:
return
