python读取excel下载图片

#!/usr/bin/python
# encoding: utf-8

from __future__ import print_function

import os

import pandas as pd
import requests
import numpy as np

import _thread

headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'
    }

def downloadImg(parent_path,imgpath, headers):
    baseUrl1 = u'http://图片域名地址1'
    baseUrl2 = u'http://图片域名地址2'
    imgurl = imgpath
    imgname = imgpath.split('/')[-1]
    if not os.path.exists(parent_path):
        os.makedirs(parent_path)
    imglocalpath = os.path.join(parent_path, imgname)
    img = requests.get(baseUrl1+imgurl, headers)
    if img.status_code == 404:
        img = requests.get(baseUrl2 + imgurl, headers)
        if img.status_code == 404:
            return "error"
    with open(imglocalpath, 'wb') as f:
        f.write(img.content)
    return imglocalpath

# 读取excel数据
data = None
def readXls():
    io = r'D:/Python/pythonwork1/test1/docTest/dy.xlsx'
    data = pd.read_excel(io.replace('\xe2\x80\xaa',''), sheet_name='Sheet1',skiprows=0,keep_default_na=False)
    return data

if __name__ == '__main__':
    data = readXls()
    data1 = pd.DataFrame(columns = data.columns)
    for i in data.index:
        imgpath =data.loc[i]
        parent_path = os.path.join("D:/Python/pythonwork1/test1/docTest/ht",data.loc[i].car_business_id,data.loc[i].doc_name)
        if downloadImg(parent_path,data.loc[i].url,headers) == "error":
            # 写入读取不到的信息
            data1 = data1.append(data.loc[i])
    # 写如读取不到的信息
    io1 = r'D:/Python/pythonwork1/test1/docTest/dy404.xlsx'
    data1.to_excel(io1,"not_found")