[英]python: How to use for loop in findall
I am trying to use for loop to re.findall() in jupyter notebook. 我试图在jupyter笔记本中使用for循环到re.findall()。 I want to extract all the sentences that contains 'California', 'Colorado', and 'Florida'.
我想提取包含'California','Colorado'和'Florida'的所有句子。 I can just write these.
我可以写这些。
import re
f =open("C:/Users/uib57309/Desktop/test.txt",mode='rt')
lines = f.read()
f.close()
re.findall(r"([^.]*?California[^.]*\.)",lines)
re.findall(r"([^.]*?Colorado[^.]*\.)",lines)
re.findall(r"([^.]*?Florida[^.]*\.)",lines)
But how can I shorten my code with for loop? 但是如何用for循环缩短我的代码呢? I tried like these, but this seems to be wrong.
我试过这些,但这似乎是错的。
test_list = ['California', 'Colorado', 'Florida']
for i in test_list:
result = re.findall(r"([^.]*?i[^.]*\.)",lines)
print(result)
In your for loop, result is finding all searches with the literal "i" string character. 在for循环中,结果是使用文字“i”字符串字符查找所有搜索。 Use the f-string (for 3.6+);
使用f-string(3.6+); string concatenation or formatting is okay too:
字符串连接或格式化也是可以的:
result = re.findall(f"([^.]*?{i}[^.]*\\.)", lines) # works in Python 3.6+
If you really want to do it in a clean way, you must use NLTK to separate sentences. 如果你真的想以干净的方式去做,你必须使用NLTK来分隔句子。 Your code relies on the assumption that a period always separates sentences, but, in general, that is not true.
你的代码依赖于一个句点总是将句子分开的假设,但总的来说,这不是真的。
import nltk
import re
lines = "Hello, California! Hello, e.g., Florida? Bye Massachusetts"
states = ['California', 'Colorado', 'Florida']
# Create a regex from the list of states
states_re = re.compile("|".join(states))
results = [sent for sent in nltk.sent_tokenize(lines) \
if states_re.search(sent)] # Check the condition
#['Hello, California!', 'Hello, e.g., Florida?']
you don't need a loop, just create a regex with "|".join
你不需要循环,只需用
"|".join
创建一个正则表达式
test_list = ['California', 'Colorado', 'Florida']
result = re.findall(r"([^.]*?{}[^.]*\.)".format("|".join(test_list)),lines)
and to make sure the words aren't sub-strings use word boundary (not really necessary with those particular words but for the general case it is. Then the expression uses one more wrapping with r \\b
characters: 并确保单词不是子字符串使用单词边界(对于那些特定的单词不是真的必要,但对于一般情况它是。然后表达式再使用r
\\b
字符包装:
r"([^.]*?{}[^.]*\.)".format("|".join([r"\b{}\b".format(x) for x in test_list]))
Use word boundary for this task and also make a list to store. 使用单词边界执行此任务,并列出要存储的列表。
result
variable will be overwritten with each iteration of loop. 每次迭代循环都会覆盖
result
变量。
test_list = ['California', 'Colorado', 'Florida']
x = []
for i in test_list:
pattern = r"\b"+i+r"\b"
result = re.findall(pattern,lines)
x.append(result)
print(x)
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