[Python] Difference between numpy 3D array and openCV imread object

This is the code I used to generate CSV file for all images.

"""Generate data.csv from data folder in working directory. """
from cv2 import imread,cvtColor,COLOR_RGB2GRAY,resize
from os import listdir
from numpy import array,savetxt,hstack

data=[]
for c in listdir('data'):
i = listdir('data').index(c)
print('Reading',c)
for sample in listdir('data/'+c):
path = 'data/' + c + '/' + sample
img = imread(path)
#img = cvtColor(img,COLOR_RGB2GRAY)
img = resize(img,(150,150))
row = hstack([img.ravel(),i])
data.append(row)

data = array(data)
savetxt('data.csv',data,delimiter=',',fmt='%i')


i recover this data using

print('Reading data...')
data = genfromtxt('data.csv',delimiter=',')
X = reshape(data[:,:-1],(data.shape[0],150,150,3))
y = data[:,-1]
print('Data: ',X.shape)


when i use imshow function on this data, it shows white box with some random colored pixels, but when i save this with imsave it saves a normal image.

Why it appeared different for imshow?

I imported numpy, opencv and os for these scripts.

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