[人工智能]python-docs插入表格，表格里放图片的办法

https://python-docx.readthedocs.io/en/latest/_modules/docx/text/paragraph.html?highlight=add_run#

需要用到一个add_run方法，用法见以上文档。
我的代码片段：新建文档对象，即实例化Document类，实现将15*2张图片放入15行2列的表格中，保存为a.docx

def getOutputtoWord(**kwargs):
    if len(kwargs)==1:
        check_index=kwargs['check_index']
        check_img = Image.open('./gene_9000/{}.jpg'.format(check_index))
        check_img = np.array(check_img)

        print(-(check_img/255.0))
        check_img = -(check_img/255.0) + 1
        print(check_img)
        plt.imshow(check_img, cmap='Greys_r')
        orig_str='./output/orig{}__{}.jpg'.format(check_index,time.strftime("_%a_%b_%d_%H_%M_%S_%Y", time.localtime()))
        plt.savefig(orig_str)
        # plt.show()
        check_img = check_img[None, :, :, 0]

        # print(check_img.shape)
        _, _, check_code = VAER_GAN_instance.encoder.predict(check_img)
        print(check_code)

        plt.imshow(np.squeeze(VAER_GAN_instance.generator.predict(
            check_code)), cmap='Greys_r')
        output_str='./output/output{}__{}.jpg'.format(check_index,time.strftime("_%a_%b_%d_%H_%M_%S_%Y", time.localtime()))
        plt.savefig(output_str)
        
    elif len(kwargs)==2:
        check_index=kwargs['check_index']
        cellid=kwargs['cell_id']
        


        check_index=kwargs['check_index']
        check_img = Image.open('./gene_9000/{}.jpg'.format(check_index))
        check_img = np.array(check_img)

        print(-(check_img/255.0))
        check_img = -(check_img/255.0) + 1
        print(check_img)
        
        plt.imshow(check_img, cmap='Greys_r')
        plt.margins(0,0)
        plt.axis('off')
        orig_str='./output/orig{}__{}.jpg'.format(check_index,time.strftime("_%a_%b_%d_%H_%M_%S_%Y", time.localtime()))
        plt.savefig(orig_str,bbox_inches = 'tight',pad_inches = 0)
        
        orig_str=os.path.abspath(orig_str)
        # sht.pictures.add(orig_str,left=sht.range(cell).left, top=sht.range(cell).top,width=check_img.shape[0],height=check_img.shape[1])      
        cell=tab.cell(cellid,0)
        ph =cell.paragraphs[0]
        run=ph.add_run()
        run.add_picture(orig_str)
        check_img = check_img[None, :, :, 0]

        _, _, check_code = VAER_GAN_instance.encoder.predict(check_img)
        print(check_code)
        plt.margins(0,0)
        plt.imshow(np.squeeze(VAER_GAN_instance.generator.predict(
            check_code)), cmap='Greys_r')
        plt.margins(0,0)
        plt.axis('off')
        output_str='./output/output{}__{}.jpg'.format(check_index,time.strftime("_%a_%b_%d_%H_%M_%S_%Y", time.localtime()))
        plt.savefig(output_str,bbox_inches = 'tight',pad_inches = 0)
        cell=tab.cell(cellid,1)
        ph =cell.paragraphs[0]
        run=ph.add_run()    
        output_str=os.path.abspath(output_str)
        run.add_picture(output_str)