我是perl的新手。尝试使用V基本代码，在那里我可以看到错误的模式匹配正在恢复真实。 将代码粘贴到此处。
my @a =["string", 12]; if( $a[0]=~ /(\d+)/ ){ print"anything";}
我认为程序控件不应该输入print语句，但实际上应该输入。 不明白字符串如何与数字值（\ d +）匹配。 预先感谢。
答案 0 :(得分：5)
您的数组包含一个元素，即数组引用 import scrapy
import re
import csv
class VoteSpider(scrapy.Spider):
name = 'VoteSpider'
start_urls = ['https://www.wahlrecht.de/umfragen/forsa.htm']
def __init__(self):
self.CDU = {}
self.SPD = {}
self.FDP = {}
self.Green = {}
self.left = {}
def parse(self, response):
regex = r"[forsa]+[\/]+[0-9]+.htm"
tableBody = response.xpath('//*[@class="wilko"]//tbody')
hxs = scrapy.Selector(response)
all_links = hxs.xpath('*//a/@href').extract()
yearLinks = []
for link in all_links:
matches = re.search(regex, link, re.MULTILINE)
if matches:
yearLinks.append(link)
for link in yearLinks:
newlink = "https://www.wahlrecht.de/umfragen/"+ link
yield scrapy.Request(url = newlink, callback=self.parseLink, meta={'name':link})
self.parseTable(tableBody)
def parseTable(self,tableBody):
CDU= []
SPD = []
FDP= []
Green= []
left= []
rows = tableBody.xpath('//tr')
del rows[:5]
for row in rows:
CDU.append(row.xpath('td//text()')[2].extract())
SPD.append(row.xpath('td//text()')[3].extract())
Green.append(row.xpath('td//text()')[4].extract())
FDP.append(row.xpath('td//text()')[5].extract())
left.append(row.xpath('td//text()')[6].extract())
with open('CDU'+'Current'+'.csv', 'w') as csvFile:
writer = csv.writer(csvFile)
writer.writerows(CDU)
with open('SPD'+'Current'+'.csv', 'w') as csvFile:
writer = csv.writer(csvFile)
writer.writerows(CDU)
with open('left'+'Current'+'.csv', 'w') as csvFile:
writer = csv.writer(csvFile)
writer.writerows(CDU)
with open('Green'+'Current'+'.csv', 'w') as csvFile:
writer = csv.writer(csvFile)
writer.writerows(CDU)
with open('FDP'+'Current'+'.csv', 'w') as csvFile:
writer = csv.writer(csvFile)
writer.writerows(CDU)
self.CDU['Current'] = []
self.SPD['Current'] = []
self.Green['Current'] = []
self.FDP['Current'] = []
self.left['Current'] = []
self.CDU['Current'].append(CDU)
self.SPD['Current'].append(SPD)
self.Green['Current'].append(Green)
self.FDP['Current'].append(FDP)
self.left['Current'].append(left)
def parseLink(self, response):
CDU= []
SPD = []
FDP= []
Green= []
left= []
name = response.meta.get('name')
yearNumber = re.findall('\d+',name)[0]
x = 0
if yearNumber == '2007':
x = 4
elif yearNumber == '1998':
x = 3
elif yearNumber == '1999':
x = 3
elif yearNumber == '2000':
x = 3
elif yearNumber == '2001':
x = 3
elif yearNumber == '2002':
x = 3
elif yearNumber == '2003':
x = 3
elif yearNumber == '2004':
x = 3
elif yearNumber == '2005':
x = 5
elif yearNumber == '2006':
x = 3
elif yearNumber == '2008':
x = 4
elif yearNumber == '2013':
x = 4
tableBody = response.xpath('//*[@class="wilko"]//tbody')
rows = tableBody.xpath('//tr')
del rows[:x]
for row in rows:
CDU.append(row.xpath('td//text()')[2].extract())
SPD.append(row.xpath('td//text()')[3].extract())
Green.append(row.xpath('td//text()')[4].extract())
# print(row.xpath('td//text()').extract())
FDP.append(row.xpath('td//text()')[5].extract())
left.append(row.xpath('td//text()')[6].extract())
with open('CDU'+yearNumber+'.csv', 'w') as csvFile:
writer = csv.writer(csvFile)
writer.writerows(CDU)
with open('SPD'+yearNumber+'.csv', 'w') as csvFile:
writer = csv.writer(csvFile)
writer.writerows(CDU)
with open('left'+yearNumber+'.csv', 'w') as csvFile:
writer = csv.writer(csvFile)
writer.writerows(CDU)
with open('Green'+yearNumber+'.csv', 'w') as csvFile:
writer = csv.writer(csvFile)
writer.writerows(CDU)
with open('FDP'+yearNumber+'.csv', 'w') as csvFile:
writer = csv.writer(csvFile)
writer.writerows(CDU)
self.CDU[yearNumber]= []
self.SPD[yearNumber] = []
self.Green[yearNumber] = []
self.FDP[yearNumber] = []
self.left[yearNumber] = []
self.CDU[yearNumber].append(CDU)
self.SPD[yearNumber].append(SPD)
self.Green[yearNumber].append(Green)
self.FDP[yearNumber].append(FDP)
self.left[yearNumber].append(left)
。当数组引用用作字符串时，它会字符串化为类似["string", 12]的数字。
要分配两个元素，请使用
ARRAY(0x1e80cb8)