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import numpy as np
import PIL
from PIL import Image

# load images
path = '/Users/mkudija/Desktop/Kudija_Chart/Charts/'

list_im = ['2016-11-20.png', '2016-12-23.png', '2017-01-22.png','2017-02-28.png', '2017-03-30.png','2017-05-05.png']
#for item in range(0,len(list_im)):
#    list_im[item] = path+list_im[item]

imgs    = [PIL.Image.open(path+i) for i in list_im]

# crop images 
n=0
cropped = []
shave = [78,48] # shave amt in pixels [top,bottom]
for i in imgs:
    w, h = i.size
    # box dims from original upper left corner: (dist to left edge, dist to top edge, dist to right edge, dist to bottom edge)
    name = path+'tmp/'+list_im[n]
    if n>0:
        i.crop((0, shave[0], w, h-shave[1])).save(name)
    else:
        i.crop((0, 0, w, h-shave[1])).save(name)
    cropped.append(name)
    n+=1

list_im = cropped
name = list_im[0].strip('.png').strip('/tmp')+' through '+list_im[-1].strip('.png').strip('/tmp')+'.png'
imgs = [PIL.Image.open(i) for i in list_im]

# resize to smallest image 
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 ) )

# combine images vertially 
imgs_comb = np.vstack( (np.asarray( i.resize(min_shape) ) for i in imgs ) )
imgs_comb = PIL.Image.fromarray(imgs_comb)
savename=path+list_im[0].strip(path).strip('.png')+' to '+list_im[-1].strip(path)
print(savename)
imgs_comb.save(savename)
print('Done.')


    

    




/Users/mkudija/Desktop/Kudija_Chart/Charts/2016-11-20 to 2017-05-05.png
Done.

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