(anoms, periodic_max, threshold)
return anoms.loc[anoms.values >= thresh]
Filters the list of anomalies per the threshold filter

      anoms : list of floats
        the anoms returned by the algorithm
      periodic_max : float
        calculated daily max value
      threshold : med_max" | "p95" | "p99"
        user-specified threshold value used to filter anoms
Filters the list of anomalies per the threshold filter
Filters the list of anomalies per the threshold filter
def _perform_threshold_filter(anoms, periodic_max, threshold):
    """
    Filters the list of anomalies per the threshold filter

      anoms : list of floats
        the anoms returned by the algorithm
      periodic_max : float
        calculated daily max value
      threshold : med_max" | "p95" | "p99"
        user-specified threshold value used to filter anoms
    """
    if threshold == 'med_max':
        thresh = periodic_max.median()
    elif threshold == 'p95':
        thresh = periodic_max.quantile(0.95)
    elif threshold == 'p99':
        thresh = periodic_max.quantile(0.99)
    else:
        raise AttributeError(
            'Invalid threshold, threshold options are None | med_max | p95 | p99')

    return anoms.loc[anoms.values >= thresh]
def _perform_threshold_filter ( anoms , periodic_max , threshold ) : if threshold == 'med_max' : thresh = periodic_max . median ( ) elif threshold == 'p95' : thresh = periodic_max . quantile ( 0.95 ) elif threshold == 'p99' : thresh = periodic_max . quantile ( 0.99 ) else : raise AttributeError ( 'Invalid threshold, threshold options are None | med_max | p95 | p99' ) return anoms . loc [ anoms . values >= thresh ]