import os #compability with windows def parse_dataset(dataset_name): assert(os.path.exists(dataset_name)) #see if data exists f = open(dataset_name, 'r') #open data we gave in lines = f.readlines() #read data f.close() #? eodfs = [] #metadata lists for every loop deltafs = [] stimulusfs = [] times = [] #data itself frequencies = [] amplitudes = [] time = [] #temporary lists with data we put in the lists above ampl = [] freq = [] for i in range(len(lines)): l = lines[i].strip() #all lines of textdata, exclude all empty lines (empty () default for spacebar) if "#" in l and "EODf" in l: #if line starts with # EODf: eodfs.append(float(l.split(':')[-1].strip()[:-2])) #append: line splitted by ':' the 2nd part ([-1], if "#" in l and "Delta f" in l: #which got striped so we sure there is no space at the end, deltafs.append(float(l.split(':')[-1].strip()[:-2])) #from that all expect the last two signs (Hz unit) if "#" in l and "StimulusFrequency" in l: #this for different metadata in different lists stimulusfs.append(float(l.split(':')[-1].strip()[:-2])) if '#Key' in l: if len(time) != 0: #therefore empty in the first round times.append(time) #2nd loop means time != 0, so we put the times/amplitudes/frequencies to amplitudes.append(ampl) #the data of the first loop frequencies.append(freq) time = [] #temporary lists with the data of the 2nd loop which we put to the lists above ampl = [] freq = [] if len(l) > 0 and l[0] is not '#': #line not empty and doesnt start with # temporary = list(map(float, l.split())) #temporary list where we got 3 index splitted by spacebar, map to find them time.append(temporary[0]) #temporary lists with the data at that place, respectively freq.append(temporary[1]) ampl.append(temporary[2]) times.append(time) #append data from one list to another amplitudes.append(ampl) frequencies.append(freq) return times, frequencies, amplitudes, eodfs, deltafs, stimulusfs #output of the function