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]
