我刚刚通过pandas解析了一个网页：
r = requests.post("https://www.eigroup.co.uk/clients/auctions/fulldetails.aspx?auctionid=17999 ", params=payload)
parsed_page = pd.read_html(r.text, attrs={"class": "table-search-result"})
（正在解析的HTML示例）
<table cellspacing="0" id="ListViewLots_ClientPropertyControl1_1_FormViewLot_1" style="width:100%;border-collapse:collapse;">
<tr>
<td colspan="2">
<table class="table-search-result">
<tr>
<th>66D Charlwood Street, Pimlico, London, SW1V 4PQ</th>
<th style="text-align: right; white-space: nowrap;">
<a href="http://www.englishhouseprices.com/results.aspx?postcode=SW1V 4PQ" id="ListViewLots_ClientPropertyControl1_1_FormViewLot_1_A2" class="icon" target="_blank">
<img src="/content/images/icons/32/houseprices.png" alt="Compare with Property Prices" title="Compare with Property Prices in this Postcode" /></a>
<a id="" title="View Auction Details" class="icon" onclick="return o(this,900,650,1,1)" href="/clients/auctions/details.aspx?auctionid=17999" target="_blank"><img title="View Auction Details" src="/content/images/icons/32/auctiondetails.png" alt="" /></a>
<a id="" title="Trend Analysis" class="icon" onclick="return o(this,900,650,1,1)" href="/clients/lots/trend-analysis.aspx?lotid=756425" target="_blank"><img title="Trend Analysis" src="/content/images/icons/32/piechart.png" alt="" /></a>
<a href='http://maps.google.co.uk?q=SW1V 4PQ' target="_blank">
<img id="ListViewLots_ClientPropertyControl1_1_FormViewLot_1_ImageLocationMap" title="Location Map" class="icon" src="/content/images/icons/32/compass.png" /></a>
<a href='http://www.multimap.com/map/photo.cgi?scale=5000&mapsize=big&pc=SW1V 4PQ' target="_blank">
<img id="ListViewLots_ClientPropertyControl1_1_FormViewLot_1_ImageAerialPhoto" title="Aerial Photo" class="icon" src="/content/images/icons/32/camera.png" /></a>
<a href='/clients/search/search-results.aspx?searchtype=comparable&lotid=756425' title="Find similar properties like this one">
<img src="/content/images/icons/32/find.png" alt="Find other properties matching this tenant" title="Find similar properties like this one" class="icon" /></a>
<a href='/clients/search/search-results.aspx?searchtype=history&lotid=756425'>
<img src="/content/images/icons/32/history.png" alt="Find history of property in this street" title="Find history of property in this street" class="icon" /></a>
<a id="" title="Add to one of my portfolios" class="icon" Title="Add to portfolio" onclick="return o(this,650,500,1,1)" href="/clients/portfolios/lot.aspx?lotid=756425" target="_blank"><img title="Add to one of my portfolios" src="/content/images/icons/32/briefcase.png" alt="" /></a>
<a href="https://www.eigroup.co.uk/files/55/17999/6ec339ec-d59e-4b8a-9136-dc6e9a583328.pdf" id="ListViewLots_ClientPropertyControl1_1_FormViewLot_1_A4" target="_blank">
<img src="/content/images/icons/32/catalogue.png" alt="Catalogue Entry" class="icon" title="Full Catalogue Entry" /></a>
<a id="" title="Add to my shortlist" class="icon" Title="Add to shortlist" onclick="return o(this,900,650,1,1)" href="/clients/lots/shortlist.aspx?lotid=756425" target="shortlist"><img title="Add to my shortlist" src="/content/images/icons/32/shortlist.png" alt="" /></a>
</th>
</tr>
<tr>
<td colspan="2" style="background-color: #f5f5f5;">
<table style="width: 100%">
<tr>
<td style="background-color: #f1f1f1; width: 170px; text-align: center;">
<a href='/clients/lots/details.aspx?lotid=756425&hb=1' target='756425' onclick="window.open(this.href,this.target,'width=900,height=650,resizable=yes,scrollbars=yes');return false" title="Auction property in Pimlico, London, SW1">
<img id="ListViewLots_ClientPropertyControl1_1_FormViewLot_1_Image1" src="https://www.eigroup.co.uk/files/55/17999/de591a4f-7da1-4bcd-a42c-76731bd72a23.jpg" alt="Pimlico, London, SW1" style="border-color:Black;border-width:2px;border-style:Solid;width:150px;" />
</a>
</td>
<td style="padding-left: 10px; width: 50%;">
<p>
<b>Description</b><br />
Leasehold 2nd Floor Studio Flat Unmodernised Vacant
</p>
<p id="ListViewLots_ClientPropertyControl1_1_FormViewLot_1_P1">
<b>Guide Price</b><br />
£450,000 Plus
</p>
<p>
<b>Lot Number</b><br />
2
</p>
<p>
<b> </b>
</p>
</td>
<td style="white-space: nowrap;">
<p>
<b>Auctioneer</b><br />
<a id="" onclick="return o(this,900,650,1,1)" href="/clients/auctioneers/details.aspx?auctioneerid=55" target="_blank">Savills (London - National)</a>
</p>
<p id="ListViewLots_ClientPropertyControl1_1_FormViewLot_1_P3">
<b>Vendor</b><br />
Housing Association
</p>
</td>
<td style="white-space: nowrap;">
<p>
<b>Auction Date</b><br />
<a id="" onclick="return o(this,900,650,1,1)" href="/clients/auctions/details.aspx?auctionid=17999" target="_blank">28 October 2014</a>
</p>
<p id="ListViewLots_ClientPropertyControl1_1_FormViewLot_1_P7">
<b>Lease Details</b><br />
125 Yr, commencing 01/01/2013 (GR.£250.PA)
</p>
</td>
</tr>
</table>
</td>
</tr>
</table>
</td>
</tr>
我得到以下内容：
In [86]: parsed_page[1][0][1]
Out[86]: u'Description Leasehold 2nd Floor Studio Flat Unmodernised Vacant Guide Price \xa3450,000 Plus Lot Number 2 Auctioneer Savills (London - National) Vendor Housing Association Auction Date 28 October 2014 Lease Details 125 Yr, commencing 01/01/2013 (GR.\xa3250.PA)'
问题是，我希望能够提取描述，指导价格等，但没有任何分隔符，之后的字符数是可变的。我在解析时错过了一个关键字吗？
如何将它们拆分成新列？
答案 0 :(得分：0)
在我对你上一篇question的回答中推荐使用beautifulSoup，你可以拆分文本并制作一个词典：
from bs4 import BeautifulSoup
soup = BeautifulSoup(html)
s = soup.find_all("p")
details = (ele.text.strip().split("\n") for ele in s)
d = {}
for det in details:
if len(det) == 2:
d[det[0].strip()] = det[1].strip()
{u'Vendor': u'Housing Association', u'Description': u'Leasehold 2nd Floor Studio Flat Unmodernised Vacant', u'Auction Date': u'28 October 2014', u'Auctioneer': u'Savills (London - National)', u'Lot Number': u'2', u'Guide Price': u'\xc2\u0141450,000 Plus', u'Lease Details': u'125 Yr, commencing 01/01/2013 (GR.\xc2\u0141250.PA)'}