Pandas保存csv

import os
import pandas as pd

path = 'data/train/'
img_label_list=[]
testList = os.listdir(path)
for file in testList:
    label='aa'
    img_label_list.append([file, label])

df1 = pd.DataFrame(data=img_label_list,
                      columns=['id', 'label'])
df1.to_csv('result.csv',index=False)

import os
import pandas as pd

path = 'data/train/'
img_list=[]
lable_list=[]
testList = os.listdir(path)
for file in testList:
    img_list.append(file)
    label='aa'
    lable_list.append(label)

img_label_list2 = list(zip(img_list, lable_list))
df3 = pd.DataFrame(data=img_label_list2,
                      columns=['filepath', 'label'])
df3.to_csv('result.csv',index=False)

import os
import pandas as pd

path = 'data/train/'
img_list=[]
lable_list=[]
testList = os.listdir(path)
for file in testList:
    img_list.append(file)
    label='aa'
    lable_list.append(label)

df = pd.DataFrame({"filename": img_list, "label": lable_list})
df.to_csv('result.csv',index=False)

import pandas as pd
import csv
if name == '__main__':

# header=0——表示csv文件的第一行默认为dataframe数据的行名称,
# index_col=0——表示使用第0列作为dataframe的行索引,
# squeeze=True——表示如果文件只包含一列，则返回一个序列。
file_dataframe = pd.read_csv('../datasets/data_new_2/csv_file_name.csv', header=0, index_col=0, squeeze=True)
# 结果： 

stu1 = [lid, k, pre_count_data[k]]
# 打开文件，写模式为追加'a'
out = open('../results/write_file.csv', 'a', newline='')
# 设定写入模式
csv_write = csv.writer(out, dialect='excel')
# 写入具体内容
csv_write.writerow(stu1)