Example #1
0
File: plotting.py Project: wj2/2p
 def saveAllSpkTrains(event):
     arch = []
     if typ == 2:
         for j in range(len(self.bitmasks)):
             print 'Mask '+str(j+1)+' of '+str(len(self.bitmasks))
             if self.t == 0:
                 train,spikes,self.fil = roip.spikeDet(self.tc_data,self.bitmasks[j])
                 self.t = 1
             else:
                 train,spikes = roip.spikeDetL(self.tc_data,self.bitmasks[j],self.fil)
             arch.append([train,spikes])
     elif typ == 3:
         for roi in self.prinROI:
             if self.t == 0:
                 train,spikes,self.fil = roip.spikeDet(self.tc_data,self.bitmasks[roi[0]][roi[1]])
             else:
                 train,spikes = roip.spikeDetL(self.tc_data,bitmasks[roi[0]][roi[1]],self.fil)
                 self.t = 1
             arch.append([roi,train,spikes])
     print 'What would you like to name this dataset?'
     name = raw_input('> ')
     np.save(name,arch)
Example #2
0
File: plotting.py Project: wj2/2p
 def saveSingleSpkTrain(event):
     click = plt.ginput(1,300)
     if typ == 2:
         j = match_point(click,self.bitmasks)
         if self.t == 0:
             train,spikes,self.fil = roip.spikeDet(self.tc_data,self.bitmasks[j])
             self.t = 1
         elif self.t == 1:
             train,spikes = roip.spikeDetL(self.tc_data,self.bitmasks[j],self.fil)
         arch = [train,spikes]
         print 'What would you like to name the data from this ROI?'
         name = raw_input('> ')
         np.save(name,arch)
Example #3
0
File: plotting.py Project: wj2/2p
 def showSpikes(event):
     click = plt.ginput(1,300)
     if typ == 2:
         j = match_point(click,self.bitmasks)
         if self.t == 0:
             train,spikes,self.fil = roip.spikeDet(self.tc_data,self.bitmasks[j])
             self.t = 1
         elif self.t == 1:
             train,spikes = roip.spikeDetL(self.tc_data,self.bitmasks[j],self.fil)
         else:
             print 'Something is wrong.'
     #self.plo = plt.figure(2)
         self.ax_plot.plot(train)
         self.ax_plot.plot(spikes,np.ones(np.size(spikes))*35000,'r.')
         print 'Spiketimes for ROI '+str(j)+': ',spikes
     if typ == 3:
         print 'Not currently supported.'