Modify CSV

import os
import csv

images, labels = [], []# Initialize two list Arrays are stored separately csv Image path and label in the file 
with open('val.csv') as f:# Read in the original csv file 
    reader = csv.reader(f)
    for row in reader:
        img, label = row# Assign the read content of each line to a new variable 
        images.append(img)# Add the read image path to list Array 
        labels.append(label)# Add the read label to the list Array 
images_new=[]# Initialize a new one list Array is used to store new picture paths 
labels_new=[]
for i in range(len(labels)):
    images_split=images[i].split('/')# Use here split Division , according to split('/') After segmentation, a new list Array 
    #  Get file name , Replace with a new address prefix 
    image=images_split[7]
    images_new.append('../LeviCDVOC/JPEGImages/val/'+image)
    labels_split=labels[i].split('/')# Use here split Division , according to split('/') After segmentation, a new list Array 
    #  Get file name , Replace with a new address prefix 
    label=labels_split[7]
    labels_new.append('../LeviCDVOC/SegementationClass/val/'+image)


import numpy as np
import pandas as pd
save_name = 't.csv'
jpgfilename = np.array([file for file in images_new], dtype=object)
dataframe = pd.DataFrame(jpgfilename.reshape(len(jpgfilename), 1))

jpgfilename = np.array([file for file in labels_new], dtype=object)
dataframe.insert(loc=1,column=1,value=jpgfilename.reshape(len(jpgfilename), 1))
dataframe.to_csv(save_name, encoding='utf-8', index=False, header=False, mode='a+')

I want to modify it csv There are two columns of data

Before the change ：

After modification ：