def detect_mean_shift(self, ts, B=1000):
        """ Detect mean shift in a time series. B is number of bootstrapped
            samples to draw.
        """
        x = np.arange(0, len(ts))
        stat_ts_func = self.compute_balance_mean_ts
        null_ts_func = self.shuffle_timeseries
        stats_ts, pvals, nums = self.get_ts_stats_significance(x, ts, stat_ts_func, null_ts_func, B=B, permute_fast=True)
        return stats_ts, pvals, nums
def detect_mean_shift ( self , ts , B = 1000 ) : x = np . arange ( 0 , len ( ts ) ) stat_ts_func = self . compute_balance_mean_ts null_ts_func = self . shuffle_timeseries stats_ts , pvals , nums = self . get_ts_stats_significance ( x , ts , stat_ts_func , null_ts_func , B = B , permute_fast = True ) return stats_ts , pvals , nums
Detect mean shift in a time series. B is number of bootstrapped
            samples to draw.