How to convert a wand image object to numpy array (without OpenCV)?

I am converting pdf files to image using Wand. Then, I do further image processing using ndimage.

I would like to directly convert the Wand image into a ndarray... I have seen the answer here, but it use OpenCV. Is this possible without using OpenCV?

For the moment I save a temporary file, which is re-opened with scipy.misc.imread()

Can an image could be converted into a Numpy array?

Images are an easier way to represent the working model. In Machine Learning, Python uses the image data in the format of Height, Width, Channel format. i.e. Images are converted into Numpy Array in Height, Width, Channel format.

As of Wand 0.5.3 this is supported directly

import numpy as np
from wand.image import Image

with Image(filename='rose:') as img:
    array = np.array(img)
    print(array.shape)  #=> (70, 46, 3)