for w in range(2, len(tempVar0)): # For all waveforms
tempVar1 = tempVar0[w][:
-3] # Keep points for a single waveform
tempVar2 = str.split(
tempVar1,
', ') # Split waveform points whereever ", " exists
wavePoints = [] # To hold float type points
for q in range(len(tempVar2)): # For all waveform points
wavePoints.append(
float(tempVar2[q]) / 1000
) # Convert from string to float. Then divide by 1,000 to convert from V to mV
waves[w - 2] = [
b[w - 2][1], wavePoints
] # Append the timestamp indexing and all waveforms for neuron
waves.sort()
for q in range(len(waves)):
waves[q] = waves[q][1]
try:
doc.CreateWaveformVariable(waveName, 40000, spkTimes,
waves) # Create waveform variable
except:
continue
nexName = "%s.nex" % fileName # Create neueroexoporer file name
print(nexName)
nex.SaveDocumentAs(doc, nexName) # Save Nex file
ndoc = nex.GetActiveDocument() # Select Nex file
nex.CloseDocument(ndoc) # Close Nex file
print("All files have been converted to nex files.")
import sys
sys.path.append('C:\\ProgramData\\Nex Technologies\\NeuroExplorer 5 x64')
import nex
InputPl2path = "C:\\Users\\309i7\\Documents\\NeuroExplorer 5\\Data\\TestDataFile5.nex"
OutputNexPath = "E:\\Panda\\TestFile.Nex5"
#InputUnitspath = ".mat"
doc = nex.OpenDocument(InputPl2path)
#Msg("Now processing the, GetDocTitle(GetActiveDocument()), files")
#run ExtractEvents.nsc to extract events and make intervals
nex.RunScript("C:\\Users\\309i7\\Documents\\NeuroExplorer 5\\Scripts\\Shifting\\ExtractEvents.nsc")
#open matlab engine
nex.ExecuteMenuCommand("Matlab|Get Data From Matlab|Open Matlab As Engine")
#load the file contain units
nex.ExecuteMatlabCommand("load(E:\Panda\PandaData\ShiftingData\20181220)")
#GetVarFromMatlab(doc,"Units",1)
nex.SaveDocumentAs(doc, OutputNexPath)
nex.CloseDocument(doc)
initial_peaks.append(timestamps4newVar[el])
if (el != 0):
nex.AddTimestamp(eventVar, timestamps4newVar[el])
print newEventName
# create a new column in Timestamps
doc[filteredPeaks] = nex.NewEvent(doc, 0)
# select a column to add timestamps
nextEventVar = nex.GetVarByName(doc, filteredPeaks)
# write filtered peaks into event
for i in range(len(initial_peaks)):
if (i == 0):
filtered.append(initial_peaks[i])
else:
if ((initial_peaks[i] - initial_peaks[i - 1]) > delay):
filtered.append(initial_peaks[i])
nex.AddTimestamp(nextEventVar, initial_peaks[i])
print filteredPeaks
print
# save file in .nex format as fileName_Analyzed
nex.SaveDocumentAs(doc, getNewPath(fileName))
# close the document
nex.CloseDocument(doc)
else:
print "Could not open ", doc