load csv data to numpy arrays

dtdata.py

def loadData(path, subset = -1):        
    allFiles = glob.glob(os.path.join(path, "data_*.csv"))
    if(subset > 0):
        allFiles = allFiles[0:subset]
    data = []
    for file in allFiles:
        print(file)
        with open(file, 'r') as f:
            data.append( [float(x[1]) for x in list(csv.reader(f))] )   
    return np.array(data)