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