@@ -3382,7 +3382,7 @@ def calBaselineValue(self, data, nSTD):
33823382 # return , (bin_edges[bindex]+ M)*0.4
33833383 # x = data[(data > data.min()*0.6) & (data < data.max()*0.6)]
33843384 # m = np.mean(x)
3385- print (m , nSTD , std0 )
3385+ # print(m, nSTD, std0)
33863386 t = m + nSTD * std0
33873387 return m , t , std0
33883388
@@ -4775,9 +4775,6 @@ def checkConnectionAction_clicked(self):
47754775 nSig = self .splitViewTab_connection .tables [
47764776 "Detected connections"
47774777 ].rowCount () ## number of significant traces (estimated from connection table)
4778- print ("nsig" , nSig )
4779-
4780- print ("nsig " + str (nSig ))
47814778 # print(data.shape[1])
47824779
47834780 self .splitViewTab_connection .matplotViews ["Average traces" ].figure .clear ()
@@ -4821,7 +4818,7 @@ def checkConnectionAction_clicked(self):
48214818 gs = self .splitViewTab_connection .matplotViews [
48224819 "Average traces"
48234820 ].figure .add_gridspec (nRow + 1 , nCol )
4824- print ('grid spec' , nRow + 1 , nCol )
4821+ # print('grid spec', nRow+1, nCol)
48254822 axes = []
48264823 nodeColor = []
48274824 arrowStyl = []
@@ -4929,7 +4926,7 @@ def checkConnectionAction_clicked(self):
49294926 # axes[j].legend("Ch {:d} p={:.2f}".format(j+1, p), frameon=False, fancybox = False, numpoints = 6)
49304927 # axes[j].set_title("Ch {:d} p={:.2f}".format(j+1, p), fontsize = 8)
49314928 axes [pltCount ].set_title (
4932- "Ch {:d} -> Ch {:d}" .format (stimChanID , idx + 1 ), fontsize = 10
4929+ "Series {:d}, Ch {:d} -> Ch {:d}" .format (sel [ 1 ] + 1 , stimChanID , idx + 1 ), fontsize = 10
49334930 )
49344931 axes [pltCount ].spines ["right" ].set_visible (False )
49354932 axes [pltCount ].spines ["top" ].set_visible (False )
@@ -6934,7 +6931,7 @@ def getEphySpikePars(self):
69346931 0
69356932 ]
69366933 min_peak = pv ["Spike detection parameters" ][1 ][
6937- "peak voltage (min=-30 ;max=150)"
6934+ "peak voltage (min=-100 ;max=150)"
69386935 ][0 ]
69396936 thresh_frac = pv ["Spike detection parameters" ][1 ][
69406937 "thresh_frac (min=0.02;max=0.08)"
@@ -6960,7 +6957,7 @@ def getEphySpikePars(self):
69606957 start_latency ,
69616958 )
69626959 except :
6963- return (None ,None ,None ,None ,None ,None ,None ,None )
6960+ return (None ,None ,None ,None ,None ,None ,None ,None , None )
69646961
69656962 def getSingleTraceFeature_ABF (self , v , t , seriesIdx ):
69666963 self .updateUserParamters ()
@@ -6973,7 +6970,7 @@ def getSingleTraceFeature_ABF(self, v, t, seriesIdx):
69736970 end = (
69746971 stimInfo [sweepIdx ][1 ]["end" ] * stimInfo [sweepIdx ][1 ]["sampleInteval" ]
69756972 ) ## stimuli end
6976- print ("start, end" , start , end )
6973+ # print("start, end", start, end)
69776974 vhold = stimInfo [sweepIdx ][1 ]["Vholding" ]
69786975 curr = stimInfo [sweepIdx ][1 ]["amplitude" ]
69796976 sampleRate = 1 / stimInfo [sweepIdx ][1 ]["sampleInteval" ]
@@ -7166,7 +7163,7 @@ def getSingleTraceFeature(self, seriesIdx):
71667163 end_index = int (p + after_ )
71677164 if start_index < 0 or end_index > max_sample :
71687165 continue
7169- print (start_index , end_index )
7166+ # print(start_index, end_index)
71707167 waves [:, j ] = v_filtered [start_index :end_index ]
71717168 waves_dvdt [:, j ] = dvdt1 [start_index :end_index ]
71727169 else :
@@ -7473,7 +7470,7 @@ def plot_alignedSpikes_SingleTrace(
74737470 axes [0 ].plot (t , v , "r" , linewidth = 2.5 , alpha = 0.6 , zorder = 10 )
74747471 peakHeight_threhold = self .splitViewTab_FP .getParTreePars (
74757472 "Spike detection"
7476- )["Spike detection parameters" ][1 ]["peak voltage (min=-30 ;max=150)" ][0 ]
7473+ )["Spike detection parameters" ][1 ]["peak voltage (min=-100 ;max=150)" ][0 ]
74777474 axes [0 ].axhline (y = peakHeight_threhold , color = "r" , linestyle = "--" )
74787475
74797476 axes [0 ].title .set_text (title )
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