Python有string.find()和string.rfind()来获取字符串中子字符串的索引。
我想知道是否有像string.find_all()这样的东西可以返回所有找到的索引(不仅是从开始的第一个索引，还是从结束的第一个索引)。
例如:
string = "test test test test"
print string.find('test') # 0
print string.rfind('test') # 15
#this is the goal
print string.find_all('test') # [0,5,10,15]
要统计出现次数，请参见计算字符串中子字符串出现的次数。
当前回答
来，让我们一起递归。
def locations_of_substring(string, substring):
"""Return a list of locations of a substring."""
substring_length = len(substring)
def recurse(locations_found, start):
location = string.find(substring, start)
if location != -1:
return recurse(locations_found + [location], location+substring_length)
else:
return locations_found
return recurse([], 0)
print(locations_of_substring('this is a test for finding this and this', 'this'))
# prints [0, 27, 36]
不需要这样使用正则表达式。
其他回答
这个帖子有点老了，但对我来说很管用:
numberString = "onetwothreefourfivesixseveneightninefiveten"
testString = "five"
marker = 0
while marker < len(numberString):
try:
print(numberString.index("five",marker))
marker = numberString.index("five", marker) + 1
except ValueError:
print("String not found")
marker = len(numberString)
查找给定字符串中某个字符的所有出现次数，并作为字典返回 例如:你好 结果: {'h':1， 'e':1， 'l':2， 'o':1}
def count(string):
result = {}
if(string):
for i in string:
result[i] = string.count(i)
return result
return {}
否则你就像这样
from collections import Counter
def count(string):
return Counter(string)
我认为最干净的解决方法是没有库和yield:
def find_all_occurrences(string, sub):
index_of_occurrences = []
current_index = 0
while True:
current_index = string.find(sub, current_index)
if current_index == -1:
return index_of_occurrences
else:
index_of_occurrences.append(current_index)
current_index += len(sub)
find_all_occurrences(string, substr)
注意:find()方法在找不到任何东西时返回-1
当在一份文件中寻找大量的关键词时，使用flash文本
from flashtext import KeywordProcessor
words = ['test', 'exam', 'quiz']
txt = 'this is a test'
kwp = KeywordProcessor()
kwp.add_keywords_from_list(words)
result = kwp.extract_keywords(txt, span_info=True)
在大量搜索词列表上，Flashtext比正则表达式运行得更快。
您可以轻松使用:
string.count('test')!
https://www.programiz.com/python-programming/methods/string/count
干杯!
