我试图从网页上收集构成一张小桌子的块数据。请在下面查看我的代码。
`
import requests
import re
import json
import sys
import os
import time
from lxml import html,etree
from bs4 import BeautifulSoup
import pandas as pd
url = 'https://www.investing.com/instruments/OptionsDataAjax'
params = {'pair_id': 525, ## SPX
'date': 1536555600, ## 2018-9-4
'strike': 'all', ## all prices
'callspots': 'calls',#'call_andputs',
'type':'analysis', # webpage viewer
'bringData':'true',
}
headers = {'User-Agent': Chrome/39.0.2171.95 Safari/537.36'}
def R(text, end='\n'): print('\033[0;31m{}\033[0m'.format(text), end=end)
def G(text, end='\n'): print('\033[0;32m{}\033[0m'.format(text), end=end)
page = requests.get(url, params=params,headers = headers)
if page.status_code != 200:
R('ERROR CODE:{}'.format(page.status_code))
sys.exit
G('Problem in connection!')
else:
G('OK')
soup = BeautifulSoup(page.content,'lxml')
spdata = json.loads(soup.text)
print(spdata['data'])`
此结果-spdata ['data']给了我一个str,我只想在此str中获得以下代码块。此str中有许多具有相同格式的数据块。
SymbolSPY180910C00250000
Delta0.9656
Imp Vol0.2431
Bid33.26
Gamma0.0039
Theoretical33.06
Ask33.41
Theta-0.0381
Intrinsic Value33.13
Volume0
Vega0.0617
Time Value-33.13
Open Interest0
Rho0.1969
Delta / Theta-25.3172
我在这里使用json和BeautifulSoup,也许正则表达式会有所帮助,但我对re不太了解。为了获得结果,任何方法都值得赞赏。谢谢。
答案 0 :(得分:1)
在您的代码后添加此代码:
regex = r"((SymbolSPY[1-9]*):?\s*)(.*?)\n[^\S\n]*\n[^\S\n]*"
for match in re.finditer(regex, spdata['data'], re.MULTILINE | re.DOTALL):
for line in match.group().splitlines():
print (line.strip())
输出
OK
SymbolSPY180910C00245000
Delta0.9682
Imp Vol0.2779
Bid38.26
Gamma0.0032
Theoretical38.05
Ask38.42
Theta-0.0397
Intrinsic Value38.13
Volume0
Vega0.0579
Time Value-38.13
Open Interest0
Rho0.1934
Delta / Theta-24.3966
SymbolSPY180910P00245000
Delta-0.0262
Imp Vol0.2652
...