[英]Split string based on given words from list
I am trying to find a way to split string based on given words only.我正在尝试找到一种仅根据给定单词拆分字符串的方法。
Also the new list should respect the word order from the initial string (text)新列表也应该尊重初始字符串(文本)的词序
Few examples below:下面的几个例子:
def split_str_from_words(words, text):
return ???
split_str_from_words(["hello", "world"], "helloworldhello")
split_str_from_words(["hello"], "helloworldhowareyouhello")
split_str_from_words(["hello", "how", "are", "you", "world"], "helloworldhowareyouhello")
Based on the 3 examples above, the function should return:基于上述 3 个示例,function 应返回:
["hello", "world", "hello"]
["hello", "worldhowareyou", "hello"]
["hello", "world", "how", "are", "you", "hello"]
I have no clue how to do it ( I tried with functions such as split but so far nothing works as expected.我不知道该怎么做(我尝试了诸如 split 之类的功能,但到目前为止没有任何效果。
I have idea how to create my own algorithm but I wonder if there was any built-in functions that I can use for this case.我知道如何创建自己的算法,但我想知道是否有任何内置函数可以用于这种情况。
Thank you in advance.先感谢您。
EDIT:编辑:
So far I am able to detect all my words occurrence / position / word length到目前为止,我能够检测到我所有的单词出现 / position / 字长
It could be really useful to keep the order of the words and slice strings.保持单词和切片字符串的顺序可能非常有用。
import re
def split_str_from_words(words, text):
for word in words:
positions = [m.start() for m in re.finditer(word, text)]
print(word, positions, len(positions), len(word))
return ""
For the proposed example, re.split
joining all words to be matched with |
对于建议的示例,
re.split
连接所有要匹配的单词|
should do.应该做。
def split_str_from_words(l, s):
m = re.split(rf"({'|'.join(l)})", s)
return [i for i in m if i] # removes empty strings (improvements are welcome)
import re
split_str_from_words(["hello", "world"], "helloworldhello")
# ['hello', 'world', 'hello']
split_str_from_words(["hello"], "helloworldhowareyouhello")
# ['hello', 'worldhowareyou', 'hello']
split_str_from_words(["hello", "how", "are", "you", "world"], "helloworldhowareyouhello")
# ['hello', 'world', 'how', 'are', 'you', 'hello']
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