1.mv d_array to d_list;\n;2.ndarray.concatenate;\n;3.d_random.generate_list;\n;4.d_numpy.uniform;\n;
pickle: large data to use numpy.save() , numpy.load() instead is ok
1.img.show() using pylab;\n;2.array2PIL,PIL2array;\n;3.random_pixel_img
ndarray.sub_array(),using numpy.hsplit,and sub-array method
ndarray.hsplit(array,array)