The following Python code creates list of numpy array. I want to load by data sets as a numpy array that has dimension K x M x N x 3 , where K is the index of the image and M x N x 3 is the dimension of individual image. How can I modify the existing code to do so ?

    image_list=[]for filename in glob.glob(path+"/*.ppm"):img = imread(filename,mode='RGB')temp_img = img.reshape(img.shape[0]*img.shape[1]*img.shape[2],1)image_list.append(temp_img)

You could initialize an output array of that shape and once inside the loop, index into the first axis to assign image arrays iteratively -

out = np.empty((K,M,N,3), dtype=np.uint8) # change dtype if needed
for i,filename in enumerate(glob.glob(path+"/*.ppm")):# Get img of shape (M,N,3)out[i] = img

If you don't know K beforehand, we could get it with len(glob.glob(path+"/*.ppm")).