我有像这样的HTML
<b>Source:</b> <a href=\'http://archive.ics.uci.edu/ml/datasets/Iris\'>UCI Machine Learning Repository</a><br>Creator: <br>R.A. Fisher<br>Donor: <br>Michael Marshall (MARSHALL%<u>PLU <b>\'@\'</b> io.arc.nasa.gov</u>)<br><b>Abstract:</b> Famous database; from Fisher, 1936<br><b>Data Set Information:</b> This is perhaps the best known database to be found in the pattern recognition literature. Fisher\'s paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.<br>Predicted attribute: class of iris plant.<br>This is an exceedingly simple domain.<br>This data differs from the data presented in Fishers article (identified by Steve Chadwick, <u>spchadwick <b>\'@\'</b> espeedaz.net</u> ). The 35th sample should be: 4.9,3.1,1.5,0.2,"Iris-setosa" where the error is in the fourth feature. The 38th sample: 4.9,3.6,1.4,0.1,"Iris-setosa" where the errors are in the second and third features. <br><b>Attribute Information:</b><br> 1. sepal length in cm<br> 2. sepal width in cm<br> 3. petal length in cm<br> 4. petal width in cm<br> 5. class: <br> -- Iris Setosa<br> -- Iris Versicolour<br> -- Iris Virginica
我想在<b></b>
标记内包装所有以:
(冒号)结尾的单词
Python中的Regex是做什么的?
我试过这个正则表达式\b(\w+:)\b
但它不起作用。
答案 0 :(得分:1)
试试这个RegEx:
<b>[A-Za-z ]{1,}\:</b>
将所有这些单词提取到列表中,然后执行您想要执行的任何处理。
答案 1 :(得分:1)
这是您需要的正则表达式<b>\w+:<\/b>
答案 2 :(得分:0)
import re
regex = "<b>bold string with colon:</b>"
matchObj = re.match(r'<b>(.*):</b>', regex, 0)
if matchObj:
print matchObj.group()