import numpy as np
from StringIO import StringIO

data = np.genfromtxt("wine_names.csv", dtype=float, delimiter=',', skip_header=1)

data0 = (data[:,0] - np.amin((data[:,0]))) / (np.amax((data[:,0]))-np.amin((data[:,0])))
data1 = (data[:,1] - np.amin((data[:,1]))) / (np.amax((data[:,1]))-np.amin((data[:,1])))
data2 = (data[:,2] - np.amin((data[:,2]))) / (np.amax((data[:,2]))-np.amin((data[:,2])))

data_all = np.column_stack([data0, data1, data2])

data_all = (data - np.min(data, axis=0))/(np.max(data, axis=0) - np.min(data, axis=0))