利用python合并csv文件的方式实例

#加载第三方库
import pandas as pd
import numpy as np
#读取文件
df1 = pd.read_csv("文件-1.csv")
df2 = pd.read_csv("文件-2.csv")
#合并
df = pd.concat([df1,df2])
df.drop_duplicates()  #数据去重
#保存合并后的文件
df.to_csv('文件.csv',encoding = 'utf-8')

#加载第三方库
import pandas as pd
import numpy as np
#读取文件
df1 = pd.read_csv("文件-1.csv")
df1["来自文件"] = "文件-1"
df2 = pd.read_csv("文件-2.csv")
df2["来自文件"] = "文件-2"
#合并
df = pd.concat([df1,df2])
df.drop_duplicates()  #数据去重
#保存合并后的文件
df.to_csv('文件.csv',encoding = 'utf-8')

import numpy as np
import pandas as pd
import glob
import re
 
csv_list = glob.glob('*.csv')
print('共发现%s个CSV文件'% len(csv_list))
print('正在处理............')
for i in csv_list:
    fr = open(i,'r',encoding='utf-8').read()
    with open('文件合集.csv','a',encoding='utf-8') as f:
        f.write(fr)
print('合并完毕！')

import pandas as pd
import numpy as np 
from tqdm import tqdm
import os
 
def get_data(path):
    df_list = []
    for file in tqdm(os.listdir(path)):##进度条
        file_path = os.path.join(path, file)
        df = pd.read_csv(file_path)
        df_list.append(df)
    df = pd.concat(df_list)
    return df
 
cPath = '.\August_data'
# cPath = 'F:/BaiduNetdiskDownload/宁东电厂数据及分析要求/宁东脱销系统优化-上海交大/SCR数据-2020-1/8月数据' #F:/BaiduNetdiskDownload/宁东电厂数据及分析要求/宁东脱销系统优化-上海交大/SCR数据-2020-1/8月数据
# uPath = str(cPath)#uPath = unicode(cPath,'utf-8')
# dirs = os.listdir(TEST_PATH)
# print(dirs)
test_df = get_data(cPath)
print(test_df.head())
# test_df.to_csv(path_or_buf="test.csv",index=False)#保存为CSV文件

#!/usr/bin/env python
# coding=utf-8
 
import glob
import time
import csv
import pandas as pd
from tqdm import tqdm
# a new file 
#open all the CSV file
#遍历文件夹下所有csv文件
TEST_PATH = '.\August_data' 
csv_list = glob.glob(f'{TEST_PATH}\*.csv')
print('共有%s个CSV文件'% len(csv_list))
# print (csv_list)
 
def get_data():
    df_list = []
    for csv_file in csv_list:
        df = pd.read_csv(csv_file)
        df_list.append(df)
    df = pd.concat(df_list)
    print("Loading Oer")
    return df
get_data()