Combine several images horizontally with Python

I would try this:

import numpy as np
import PIL
from PIL import Image

list_im = ['Test1.jpg', 'Test2.jpg', 'Test3.jpg']
imgs    = [ Image.open(i) for i in list_im ]
# pick the image which is the smallest, and resize the others to match it (can be arbitrary image shape here)
min_shape = sorted( [(np.sum(i.size), i.size ) for i in imgs])[0][1]
imgs_comb = np.hstack( (np.asarray( i.resize(min_shape) ) for i in imgs ) )

# save that beautiful picture
imgs_comb = Image.fromarray( imgs_comb)
imgs_comb.save( 'Trifecta.jpg' )    

# for a vertical stacking it is simple: use vstack
imgs_comb = np.vstack( (np.asarray( i.resize(min_shape) ) for i in imgs ) )
imgs_comb = Image.fromarray( imgs_comb)
imgs_comb.save( 'Trifecta_vertical.jpg' )

It should work as long as all images are of the same variety (all RGB, all RGBA, or all grayscale). It shouldn't be difficult to ensure this is the case with a few more lines of code. Here are my example images, and the result:

Test1.jpg

Test2.jpg

Test3.jpg

Trifecta.jpg:

Trifecta_vertical.jpg

You can do something like this:

import sys
from PIL import Image

images = [Image.open(x) for x in ['Test1.jpg', 'Test2.jpg', 'Test3.jpg']]
widths, heights = zip(*(i.size for i in images))

total_width = sum(widths)
max_height = max(heights)

new_im = Image.new('RGB', (total_width, max_height))

x_offset = 0
for im in images:
  new_im.paste(im, (x_offset,0))
  x_offset += im.size[0]

new_im.save('test.jpg')

Test1.jpg

Test2.jpg

Test3.jpg

test.jpg

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The nested for for i in xrange(0,444,95): is pasting each image 5 times, staggered 95 pixels apart. Each outer loop iteration pasting over the previous.

for elem in list_im:
  for i in xrange(0,444,95):
    im=Image.open(elem)
    new_im.paste(im, (i,0))
  new_im.save('new_' + elem + '.jpg')