def linear_trend(self, timeseries=None, name=None): if timeseries is None: timeseries = self.pandas_timeseries result = calculator.linear( data=timeseries, alpha=float( self.request.session['trend_detection']['spinner_0']['value']), detrend_anyway=True) return [result]
def linear_trend(self, timeseries=None, name=None): if timeseries is None: timeseries = self.pandas_timeseries result = calculator.linear( data=timeseries, alpha=float( self.request.session['trend_detection']['spinner_0']['value']), detrend_anyway=True ) return [result]
def linear_trend(self, timeseries=None, name=None): if timeseries is None: timeseries = self.timeseries['values'] if not name: name = self.timeseries['key'] timeseries = self.load_timeseries(timeseries, name)[1] result = calculator.linear( data=timeseries, alpha=float(self.request.session[ 'trend_detection']['spinner_0']['value']), detrend_anyway=True ) return [result]