Stata&Python--PIL库多个图片拼接

两张图

import os
from PIL import Image


 
def join(png1, png2, name):

    img1, img2= Image.open(png1), Image.open(png2)
    size1, size2 = img1.size, img2.size  
    joint = Image.new('RGB', (size1[0]+size2[0], size1[1]))
    #joint = Image.new('RGB', (size1[0]+size2[0]+size3[0], size1[1])) 如果是三张图就这么写
    loc1, loc2 = (0, 0), (size1[0], 0) #如果是三张图，这里第三个数组是(size1[0]+size2[0], 0)
    
    joint.paste(img1, loc1)
    joint.paste(img2, loc2)
    #joint.paste(img3, loc3) 如果有三张图的话就再加一个
    joint.save(name)

if __name__ == '__main__':    
        for i in [1,2,3,7,8,9,10]:
            png1 = "D:\\毕业论文\\output\\三水\\Figure"+str(i)+".png"

            png2 = "D:\\毕业论文\\output\\顺德\\Figure"+str(i)+".png"

            os.chdir("D:\\毕业论文\\output")

            name = "map"+str(i)+".png"
            join(png1, png2, name)

三张图

## 平减后结果201912月  挑出来 的高质量结果的拼接
import os
from PIL import Image

'''
def croop(pngg):
    png=Image.open(pngg)
    half_the_width = png.size[0] 
    half_the_height = png.size[1] 
    png = png.crop((2,2,half_the_width - 2, half_the_height - 2))
    png.save(pngg)
for i in ["Guangdong","Chongqing","Hubei"]:
    for j in range(1,25):
        croop("D:\\碳交易试点评估\\sectoral_approach_deflator\\sectoral_approachsectoral_approach1432\\output\\"+i+"\\Figure"+str(j)+".png")
''' 
def join(png1, png2, png3, name):

    img1, img2 ,img3= Image.open(png1), Image.open(png2), Image.open(png3)
    size1, size2, size3 = img1.size, img2.size, img3.size    
    joint = Image.new('RGB', (size1[0]+size2[0]+size3[0], size1[1]))
    
    loc1, loc2, loc3 = (0, 0), (size1[0], 0),(size1[0]+size2[0], 0)
    
    joint.paste(img1, loc1)
    joint.paste(img2, loc2)
    joint.paste(img3, loc3)
    joint.save(name)
#定义循环列表


ls=[311,411]


## 图片拼接
if __name__ == '__main__':
    for j in ls:
    
        for i in range(1,43):
            png1 = "D:\\碳交易试点评估\\sectoral_approach_deflator\\sectoral_approach"+str(j)+"-deflator\\output\\Guangdong\\Figure"+str(i)+".png"

            png3 = "D:\\碳交易试点评估\\sectoral_approach_deflator\\sectoral_approach"+str(j)+"-deflator\\output\\Hubei\\Figure"+str(i)+".png"


            png2 ="D:\\碳交易试点评估\\sectoral_approach_deflator\\sectoral_approach"+str(j)+"-deflator\\output\\Chongqing\\Figure"+str(i)+".png"

            os.chdir("D:\碳交易试点评估\\sectoral_approach_deflator\\sectoral_approach"+str(j)+"-deflator\\output")

            name = "map"+str(i)+".png"
            join(png1, png2, png3, name)