如何从无空间标注的字符串中提取数据？

Question

我需要从在BeautifulSoup中解析的四个字符串中提取数据。它们是：

Arkansas72.21:59 AM76.29:04 AM5.22977.37:59 AM

Ashley71.93:39 AM78.78:59 AM0.53678.78:59 AM

Bradley72.64:49 AM77.28:59 AM2.41877.28:49 AM

Chicot-40.19:04 AM-40.19:04 AM2.573-40.112:09 AM

例如，第一个字符串中的数据是Arkansas、72.1、1:59 AM、76.2、9:04 AM、5.2、29、77.3和7:59 AM。有没有简单的方法？你知道吗

编辑：完整代码

import urllib2
from bs4 import BeautifulSoup
import time

def scraper():

    #Arkansas State Plant Board Weather Web data
    url1 = 'http://170.94.200.136/weather/Inversion.aspx'

    #opens  url and parses HTML into Unicode
    page1 = urllib2.urlopen(url1)
    soup1 = BeautifulSoup(page1, 'lxml')

    #print(soup.get_text()) gives a single Unicode string of relevant data in strings from the url
    #Without print(), returns everything in without proper spacing
    sp1 = soup1.get_text()

    #datasp1 is the chunk with the website data in it so the search for Arkansas doesn't return the header
    #everything else finds locations for Unicode strings for first four stations
    start1 = sp1.find('Today')
    end1 = sp1.find('new Sys.')
    datasp1 = sp1[start1:end1-10]

    startArkansas = datasp1.find('Arkansas')
    startAshley = datasp1.find('Ashley')
    dataArkansas = datasp1[startArkansas:startAshley-2]

    startBradley = datasp1.find('Bradley')
    dataAshley = datasp1[startAshley:startBradley-2]

    startChicot = datasp1.find('Chicot')
    dataBradley = datasp1[startBradley:startChicot-2]

    startCleveland = datasp1.find('Cleveland')
    dataChicot = datasp1[startChicot:startCleveland-2]


    print(dataArkansas)
    print(dataAshley)
    print(dataBradley)
    print(dataChicot)

Answer 1

您需要使用beautifulsoup解析html页面并检索数据：

url1 = 'http://170.94.200.136/weather/Inversion.aspx'

#opens  url and parses HTML into Unicode
page1 = urlopen(url1)
soup1 = BeautifulSoup(page1)

# get the table
table = soup1.find(id='MainContent_GridView1')

# find the headers
headers = [h.get_text() for h in table.find_all('th')]

# retrieve data
data = {}
tr_elems = table.find_all('tr')
for tr in tr_elems:
    tr_content = [td.get_text() for td in tr.find_all('td')]
    if tr_content:
        data[tr_content[0]] = dict(zip(headers[1:], tr_content[1:]))

print(data)

该示例将显示：

{
  "Greene West": {
    "Low Temp  (\u00b0F)": "67.7",
    "Time Of High": "10:19 AM",
    "Wind Speed (MPH)": "0.6",
    "High Temp  (\u00b0F)": "83.2",
    "Wind Dir (\u00b0)": "20",
    "Time Of Low": "6:04 AM",
    "Current Time": "10:19 AM",
    "Current Temp  (\u00b0F)": "83.2"
  },
  "Cleveland": {
    "Low Temp  (\u00b0F)": "70.8",
    "Time Of High": "10:14 AM",
    "Wind Speed (MPH)": "1.9",
    [.....]

}

Answer 2

只要改进提取表格数据的方法。我会使用^{}将其读入数据帧，我很肯定，您会发现使用它很方便：

import pandas as pd

df = pd.read_html("http://170.94.200.136/weather/Inversion.aspx", attrs={"id": "MainContent_GridView1"})[0]
print(df)