spikedetection.py 文件源码

def __load_page_data(self):
        self.__clearRows()
        if hasattr(self,"selectChan"):
            with hp.File(self.file_name,"r") as f:
                sampling_rate = f["analogs"][self.selectChan]["sampling_rate"].value
                start_time = f["analogs"][self.selectChan]["start_time"].value
                start_point = sampling_rate*self.row_num*self.current_page
                end_point = sampling_rate*self.row_num*(self.current_page+1)
                self.page_data = f["analogs"][self.selectChan]["data"][start_point:end_point]
                self.sigma = np.median(np.abs(self.page_data)/0.6745)
                Thr = self.thresholds[self.selectChan] * self.sigma
            self.sampling_rate = sampling_rate
            self.row_wins_rois = [0]*self.row_num
            for i in range(self.row_num):
                start_point = i*sampling_rate
                end_point = (i+1)*sampling_rate
                if self.page_data[start_point:end_point].size:
                    ys = self.page_data[start_point:end_point]
                    xs = np.arange(ys.size)
                    line = MultiLine(np.array([xs]),np.array([ys]),"w")
                    self.row_wins[i].addItem(line)

                self.row_wins_rois[i] = pg.InfiniteLine(pos=Thr,angle=0,movable=False)
                self.row_wins_rois[i].setZValue(10)
                self.row_wins[i].addItem(self.row_wins_rois[i])