How would I be able to iterate through this loop so it gives me the sinogram for each column of original image?

Question

I want to create an array of columns for 360 different images for a 256x256 images. From each of those columns, I want to create sinograms in order to stack them up and create a back projection. I am currently stuck at this part:

imagestack = [image for image in os.listdir() if image.startswith("image")]
images = [plt.imread(image) for image in imagestack] #reading in the images in group1 using plt.imread

newf = []
for i in range(len(images)):
    imagenew = np.zeros(len(images))
    imagenew = ((images[i][:,0:1]))
    newf.append(imagenew)
        
plt.figure()
plt.imshow(newf, cmap='Greys')
plt.show()

#rotation= []
#for i in range(len(images)):
    #degrees = np.linspace(0,359,359)
    #rotated_img = np.zeros(len(images))
    #rotated_img = ndimage.rotate(newf[i:i+1],i)
    #rotation.append(rotated_img)
    
#plt.figure()
#plt.imshow(rotation)
#plt.show()

This is all I have so far, and the parts that are hashtagged just do not seem to work at all. I want to perform the newf list ode above not just for the 0:1 column, but for every i:i+1 column until 256. Unfortunately, I do not know how I would do this.