0.目录
1.参考
2.问题定位
不间断空格的unicode表示为 uxa0',超出gbk编码范围?
3.如何处理
.extract_first().replace(u'xa0', u' ').strip().encode('utf-8','replace')
1.参考
Beautiful Soup and Unicode Problems
详细解释
unicodedata.normalize('NFKD',string) 实际作用???
Scrapy : Select tag with non-breaking space with xpath
>>> selector.xpath(u'''
... //p[normalize-space()]
... [not(contains(normalize-space(), "u00a0"))]
normalize-space() 实际作用???
In [244]: sel.css('.content') Out[244]: [<Selector xpath=u"descendant-or-self::*[@class and contains(concat(' ', normalize-space(@class), ' '), ' content ')]" data=u'<p class="content text-
s.replace(u
'xa0'
, u'
').encode('
utf
-
8
')
2.问题定位
https://en.wikipedia.org/wiki/Comparison_of_text_editors
定位元素显示为 &npsp;
网页源代码表示为  
<tr> <td style="background: #FFD; color: black; vertical-align: middle; text-align: center;" class="partial table-partial">memory</td> <td>= Limited by available memory   </td> <td style="background:#F99;vertical-align:middle;text-align:center;" class="table-no">No (64 KB)</td> <td>= Some limit less than available memory (give max size if known)</td> </tr> </table>
实际传输Hex为:
不间断空格的unicode表示为 uxa0',保存的时候编码 utf-8 则是 'xc2xa0'
In [211]: for tr in response.xpath('//table[8]/tr[2]'): ...: print [u''.join(i.xpath('.//text()').extract()) for i in tr.xpath('./*')] ...: [u'memory', u'= Limited by available memory xa0xa0', u'No (64xa0KB)', u'= Some limit less than available memory (give max size if known)'] In [212]: u'No (64xa0KB)'.encode('utf-8') Out[212]: 'No (64xc2xa0KB)' In [213]: u'No (64xa0KB)'.encode('utf-8').decode('utf-8') Out[213]: u'No (64xa0KB)'
保存 csv 直接使用 excel 打开会有乱码(默认ANSI gbk 打开???,u'xa0' 超出 gbk 能够编码范围???),使用记事本或notepad++能够自动以 utf-8 正常打开。
使用记事本打开csv文件,另存为 ANSI 编码,之后 excel 正常打开。超出 gbk 编码范围的替换为'?'
3.如何处理
.extract_first().replace(u'xa0', u' ').strip().encode('utf-8','replace')