附加多个 CSV 文件并使用 python 中的文件名创建一个新列

Question

我正在尝试使用 pandas 库，如果有办法将文件名作为列名，例如，我的文件名带有日期。

stock_2019-10-11.csv,
stock_2019-11-11.csv.

我想用文件名创建 2 个不同的列，并获得 append 的值，我希望得到一个 CSV 文件：

   coulmns-primary_key, article_numerber,stock_2019-10-11,stock_2019-11-11

data-0   101,201,4,2
data-1   102,301,5,2

与上面类似，新列的值来自合并的 CSV。

import pandas as pd
import glob
import os
import sys
import csv

data = [] # pd.concat takes a list of dataframes
for csv in globbed_files(my directiry of files):
    frame = pd.read_csv(csv,encoding='utf_16',error_bad_lines=False,index_col=False)
    frame['filename'] = os.path.basename(csv)
    data.append(frame)

frame1 = pd.concat(data, ignore_index=True

)

Answer 1

Firstly add filename as column name toa particular file, then add each file to dataframe.write dataframe to csv (considering each file has a 1 column.Customize the column header as per your columns)

import pandas as pd

df=pd.DataFrame()
filenames=["C:/Users/sghungurde/Documents/server2.csv","C:/Users/sghungurde/Documents/server3.csv"]
i=0
while(i<len(filenames)):
    extracting filename from filepath 
    c1= (filenames[i].split("/")[4]).split(".")[0]
    reading csv file and assigning column name to header
    f1=pd.read_csv(filenames[i],names=[c1])
    adding file column to dataframe
    df[c1]=f1[c1]
    i+=1

print(df)
writing final df merging result to csv
df.to_csv("C:/Users/sghungurde/Documents/merge.csv",index=False)

output

     server2       server3
 209.10.31.50  609.10.31.50
 204.12.31.53  704.12.31.53
 203.12.31.53  903.12.31.53
 102.71.99.13  102.71.99.13