python处理csv文件（场景分类）

最近做一个关于场景分类的比赛，总共有20类，不到2万张图片，首先要做的就是把20类图片分到每个文件夹下。

import numpy as np
import os
import xlrd
import pandas as pd
import shutil
list_0 = []
list_file = []
flag = []
filename = os.listdir('F:\工作\比赛\未来杯\image_scene_training\data')
af = pd.read_excel('19.xlsx')
ww = af.values.tolist()
for i in ww:
    for j in i:
        list_0.append(j)
for name in filename:
    list_file.append(name[0:-4])

for name in list_file:
    if name in list_0:
        flag.append(True)
    else:
        flag.append(False)

for name in list_file:
    if flag[list_file.index(name)]:
        oldname = u'F:\工作\比赛\未来杯\image_scene_training\data\\'+name+'.jpg'
        newname = u'F:\工作\比赛\未来杯\image_scene_training\\train_data\\beach\\'+name+'.jpg'
        shutil.copyfile(oldname,newname)

unicodeDecodeError:'utf-8' codec can't decode byte 0xce in position 72: invalid continuation byte

1:升级pip  python -m pip install --upgrade pip

2:改python文件内容：找到lib\site-packages\pip\compat\__init__.py

    return s.decode('utf-8')

    将‘utf-8’改成'gbk'