def get_bySweep(self,feature="freqs"):
        """
        returns AP info by sweep arranged as a list (by sweep).

        feature:
            * "freqs" - list of instantaneous frequencies by sweep.
            * "firsts" - list of first instantaneous frequency by sweep.
            * "times" - list of times of each AP in the sweep.
            * "count" - numer of APs per sweep.
            * "average" - average instanteous frequency per sweep.
            * "median" - median instanteous frequency per sweep.
        """
        self.ensureDetection()
        bySweepTimes=[[]]*self.abf.sweeps

        # determine AP spike times by sweep
        for sweep in range(self.abf.sweeps):
            sweepTimes=[]
            for ap in self.APs:
                if ap["sweep"]==sweep:
                    sweepTimes.append(ap["Tsweep"])
            bySweepTimes[sweep]=sweepTimes

        # determine instantaneous frequencies by sweep
        bySweepFreqs=[[]]*self.abf.sweeps
        for i,times in enumerate(bySweepTimes):
            if len(times)<2:
                continue
            diffs=np.array(times[1:])-np.array(times[:-1])
            bySweepFreqs[i]=np.array(1/diffs).tolist()

        # give the user what they want
        if feature == "freqs":
            return bySweepFreqs

        elif feature == "firsts":
            result=np.zeros(self.abf.sweeps) # initialize to this
            for i,freqs in enumerate(bySweepFreqs):
                if len(freqs):
                    result[i]=freqs[0]
            return result

        elif feature == "times":
            return bySweepTimes

        elif feature == "count":
            result=np.zeros(self.abf.sweeps) # initialize to this
            for i,times in enumerate(bySweepTimes):
                result[i]=len(bySweepTimes[i])
            return result

        elif feature == "average":
            result=np.zeros(self.abf.sweeps) # initialize to this
            for i,freqs in enumerate(bySweepFreqs):
                if len(freqs):
                    result[i]=np.nanmean(freqs)
            return result

        elif feature == "median":
            result=np.zeros(self.abf.sweeps) # initialize to this
            for i,freqs in enumerate(bySweepFreqs):
                if len(freqs):
                    result[i]=np.nanmedian(freqs)
            return result

        else:
            self.log.error("get_bySweep() can't handle [%s]",feature)
            return None
def get_bySweep(self,feature="freqs"):
        
        self.ensureDetection()
        bySweepTimes=[[]]*self.abf.sweeps

        
        for sweep in range(self.abf.sweeps):
            sweepTimes=[]
            for ap in self.APs:
                if ap["sweep"]==sweep:
                    sweepTimes.append(ap["Tsweep"])
            bySweepTimes[sweep]=sweepTimes

        
        bySweepFreqs=[[]]*self.abf.sweeps
        for i,times in enumerate(bySweepTimes):
            if len(times)<2:
                continue
            diffs=np.array(times[1:])-np.array(times[:-1])
            bySweepFreqs[i]=np.array(1/diffs).tolist()

        
        if feature == "freqs":
            return bySweepFreqs

        elif feature == "firsts":
            result=np.zeros(self.abf.sweeps) 
            for i,freqs in enumerate(bySweepFreqs):
                if len(freqs):
                    result[i]=freqs[0]
            return result

        elif feature == "times":
            return bySweepTimes

        elif feature == "count":
            result=np.zeros(self.abf.sweeps) 
            for i,times in enumerate(bySweepTimes):
                result[i]=len(bySweepTimes[i])
            return result

        elif feature == "average":
            result=np.zeros(self.abf.sweeps) 
            for i,freqs in enumerate(bySweepFreqs):
                if len(freqs):
                    result[i]=np.nanmean(freqs)
            return result

        elif feature == "median":
            result=np.zeros(self.abf.sweeps) 
            for i,freqs in enumerate(bySweepFreqs):
                if len(freqs):
                    result[i]=np.nanmedian(freqs)
            return result

        else:
            self.log.error("get_bySweep() can't handle [%s]",feature)
            return None
def get_bySweep ( self , feature = "freqs" ) : self . ensureDetection ( ) bySweepTimes = [ [ ] ] * self . abf . sweeps # determine AP spike times by sweep for sweep in range ( self . abf . sweeps ) : sweepTimes = [ ] for ap in self . APs : if ap [ "sweep" ] == sweep : sweepTimes . append ( ap [ "Tsweep" ] ) bySweepTimes [ sweep ] = sweepTimes # determine instantaneous frequencies by sweep bySweepFreqs = [ [ ] ] * self . abf . sweeps for i , times in enumerate ( bySweepTimes ) : if len ( times ) < 2 : continue diffs = np . array ( times [ 1 : ] ) - np . array ( times [ : - 1 ] ) bySweepFreqs [ i ] = np . array ( 1 / diffs ) . tolist ( ) # give the user what they want if feature == "freqs" : return bySweepFreqs elif feature == "firsts" : result = np . zeros ( self . abf . sweeps ) # initialize to this for i , freqs in enumerate ( bySweepFreqs ) : if len ( freqs ) : result [ i ] = freqs [ 0 ] return result elif feature == "times" : return bySweepTimes elif feature == "count" : result = np . zeros ( self . abf . sweeps ) # initialize to this for i , times in enumerate ( bySweepTimes ) : result [ i ] = len ( bySweepTimes [ i ] ) return result elif feature == "average" : result = np . zeros ( self . abf . sweeps ) # initialize to this for i , freqs in enumerate ( bySweepFreqs ) : if len ( freqs ) : result [ i ] = np . nanmean ( freqs ) return result elif feature == "median" : result = np . zeros ( self . abf . sweeps ) # initialize to this for i , freqs in enumerate ( bySweepFreqs ) : if len ( freqs ) : result [ i ] = np . nanmedian ( freqs ) return result else : self . log . error ( "get_bySweep() can't handle [%s]" , feature ) return None
returns AP info by sweep arranged as a list (by sweep).

        feature:
            * "freqs" - list of instantaneous frequencies by sweep.
            * "firsts" - list of first instantaneous frequency by sweep.
            * "times" - list of times of each AP in the sweep.
            * "count" - numer of APs per sweep.
            * "average" - average instanteous frequency per sweep.
            * "median" - median instanteous frequency per sweep.
returns AP info by sweep arranged as a list ( by sweep ) .