提取各種信息

Question

概述

想寫到另一個csv文件

條件之前提取，如姓名，從2列的CSV文件的日期和地址的各種信息

1. 提取名稱第一行，因爲它將始終是第一行 行。
2. 提取日期通過正則表達式（在Python有正則表達式？）##由常量關鍵字 '路'

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/##/#### 格式

提取地址 從EXCEL

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觀察

例CSV僞源數據參考文件格式

 ID,DATA 88888,DADDY 88888,2/06/2016 88888,new issac road 99999,MUMMY 99999,samsung road 99999,12/02/2016 

期望中的CSV結果

ID,Name,Address,DATE 
8888,DADDY,new issac road,2/06/2016 
9999,MUMMY,samsung road,12/02/2016 

是我到目前爲止有：

import csv 
from collections import defaultdict 

columns = defaultdict(list) # each value in each column is appended to a list 

with open('dummy_data.csv') as f: 
    reader = csv.DictReader(f) # read rows into a dictionary format 
    for row in reader: # read a row as {column1: value1, column2: value2,...} 
     for (k,v) in row.items(): # go over each column name and value 
      columns[k].append(v) # append the value into the appropriate list 
           # based on column name k 
uniqueidstatement = columns['receipt_id'] 

print uniqueidstatement 

resultFile = open("wtf.csv",'wb') 
wr = csv.writer(resultFile, dialect='excel') 
wr.writerow(uniqueidstatement) 

Answer 1

您可以將通過ID並從每個組可以判斷這是日期的章節這是一些簡單的邏輯地址。

import csv 
from itertools import groupby 
from operator import itemgetter 

with open("test.csv") as f, open("out.csv", "w") as out: 
    reader = csv.reader(f) 
    next(reader) 
    writer = csv.writer(out) 
    writer.writerow(["ID","NAME","ADDRESS", "DATE"]) 
    groups = groupby(csv.reader(f), key=itemgetter(0)) 
    for k, v in groups: 
     id_, name = next(v) 
     add_date_1, add_date_2 = next(v)[1], next(v)[1] 
     date, add = (add_date_1, add_date_2) if "road" in add_date_2 else (add_date_2, add_date_1) 
     writer.writerow([id_, name, add, date])