Related
I have made a script:
our_word = "Success"
def duplicate_encode(word):
char_list = []
final_str = ""
changed_index = []
base_wrd = word.lower()
for k in base_wrd:
char_list.append(k)
for i in range(0, len(char_list)):
count = 0
for j in range(i + 1, len(char_list)):
if j not in changed_index:
if char_list[j] == char_list[i]:
char_list[j] = ")"
changed_index.append(j)
count += 1
else:
continue
if count > 0:
char_list[i] = ")"
else:
char_list[i] = "("
print(changed_index)
print(char_list)
final_str = "".join(char_list)
return final_str
print(duplicate_encode(our_word))
essentialy the purpose of this script is to convert a string to a new string where each character in the new string is "(", if that character appears only once in the original string, or ")", if that character appears more than once in the original string. I have made a rather layered up script (I am relatively new to the python language so didn't want to use any helpful in-built functions) that attempts to do this. My issue is that where I check if the current index has been previously edited (in order to prevent it from changing), it seems to ignore it. So instead of the intended )())()) I get )()((((. I'd really appreciate an insightful answer to why I am getting this issue and ways to work around this, since I'm trying to gather an intuitive knowledge surrounding python. Thanks!
word = "Success"
print(''.join([')' if word.lower().count(c) > 1 else '(' for c in word.lower()]))
The issue here has nothing to do with your understanding of Python. It's purely algorithmic. If you retain this 'layered' algorithm, it is essential that you add one more check in the "i" loop.
our_word = "Success"
def duplicate_encode(word):
char_list = list(word.lower())
changed_index = []
for i in range(len(word)):
count = 0
for j in range(i + 1, len(word)):
if j not in changed_index:
if char_list[j] == char_list[i]:
char_list[j] = ")"
changed_index.append(j)
count += 1
if i not in changed_index: # the new inportant check to avoid reversal of already assigned ')' to '('
char_list[i] = ")" if count > 0 else "("
return "".join(char_list)
print(duplicate_encode(our_word))
Your algorithm can be greatly simplified if you avoid using char_list as both the input and output. Instead, you can create an output list of the same length filled with ( by default, and then only change an element when a duplicate is found. The loops will simply walk along the entire input list once for each character looking for any matches (other than self-matches). If one is found, the output list can be updated and the inner loop will break and move on to the next character.
The final code should look like this:
def duplicate_encode(word):
char_list = list(word.lower())
output = list('(' * len(word))
for i in range(len(char_list)):
for j in range(len(char_list)):
if i != j and char_list[i] == char_list[j]:
output[i] = ')'
break
return ''.join(output)
for our_word in (
'Success',
'ChJsTk(u cIUzI htBp#qX)OTIHpVtHHhQ',
):
result = duplicate_encode(our_word)
print(our_word)
print(result)
Output:
Success
)())())
ChJsTk(u cIUzI htBp#qX)OTIHpVtHHhQ
))(()(()))))())))()()((())))()))))
Input:
string = "My dear adventurer, do you understand the nature of the given discussion?"
expected output:
string = 'My dear ##########, do you ########## the nature ## the given ##########?'
How can you replace the third word in a string of words with the # length equivalent of that word while avoiding counting special characters found in the string such as apostrophes('), quotations("), full stops(.), commas(,), exclamations(!), question marks(?), colons(:) and semicolons (;).
I took the approach of converting the string to a list of elements but am finding difficulty filtering out the special characters and replacing the words with the # equivalent. Is there a better way to go about it?
I solved it with:
s = "My dear adventurer, do you understand the nature of the given discussion?"
def replace_alphabet_with_char(word: str, replacement: str) -> str:
new_word = []
alphabet = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
for c in word:
if c in alphabet:
new_word.append(replacement)
else:
new_word.append(c)
return "".join(new_word)
every_nth_word = 3
s_split = s.split(' ')
result = " ".join([replace_alphabet_with_char(s_split[i], '#') if i % every_nth_word == every_nth_word - 1 else s_split[i] for i in range(len(s_split))])
print(result)
Output:
My dear ##########, do you ########## the nature ## the given ##########?
There are more efficient ways to solve this question, but I hope this is the simplest!
My approach is:
Split the sentence into a list of the words
Using that, make a list of every third word.
Remove unwanted characters from this
Replace third words in original string with # times the length of the word.
Here's the code (explained in comments) :
# original line
line = "My dear adventurer, do you understand the nature of the given discussion?"
# printing original line
print(f'\n\nOriginal Line:\n"{line}"\n')
# printing somehting to indicate that next few prints will be for showing what is happenning after each lone
print('\n\nStages of parsing:')
# splitting by spaces, into list
wordList = line.split(' ')
# printing wordlist
print(wordList)
# making list of every third word
thirdWordList = [wordList[i-1] for i in range(1,len(wordList)+1) if i%3==0]
# pritning third-word list
print(thirdWordList)
# characters that you don't want hashed
unwantedCharacters = ['.','/','|','?','!','_','"',',','-','#','\n','\\',':',';','(',')','<','>','{','}','[',']','%','*','&','+']
# replacing these characters by empty strings in the list of third-words
for unwantedchar in unwantedCharacters:
for i in range(0,len(thirdWordList)):
thirdWordList[i] = thirdWordList[i].replace(unwantedchar,'')
# printing third word list, now without punctuation
print(thirdWordList)
# replacing with #
for word in thirdWordList:
line = line.replace(word,len(word)*'#')
# Voila! Printing the result:
print(f'\n\nFinal Output:\n"{line}"\n\n')
Hope this helps!
Following works and does not use regular expressions
special_chars = {'.','/','|','?','!','_','"',',','-','#','\n','\\'}
def format_word(w, fill):
if w[-1] in special_chars:
return fill*(len(w) - 1) + w[-1]
else:
return fill*len(w)
def obscure(string, every=3, fill='#'):
return ' '.join(
(format_word(w, fill) if (i+1) % every == 0 else w)
for (i, w) in enumerate(string.split())
)
Here are some example usage
In [15]: obscure(string)
Out[15]: 'My dear ##########, do you ########## the nature ## the given ##########?'
In [16]: obscure(string, 4)
Out[16]: 'My dear adventurer, ## you understand the ###### of the given ##########?'
In [17]: obscure(string, 3, '?')
Out[17]: 'My dear ??????????, do you ?????????? the nature ?? the given ???????????'
With help of some regex. Explanation in the comments.
import re
imp = "My dear adventurer, do you understand the nature of the given discussion?"
every_nth = 3 # in case you want to change this later
out_list = []
# split the input at spaces, enumerate the parts for looping
for idx, word in enumerate(imp.split(' ')):
# only do the special logic for multiples of n (0-indexed, thus +1)
if (idx + 1) % every_nth == 0:
# find how many special chars there are in the current segment
len_special_chars = len(re.findall(r'[.,!?:;\'"]', word))
# ^ add more special chars here if needed
# subtract the number of special chars from the length of segment
str_len = len(word) - len_special_chars
# repeat '#' for every non-special char and add the special chars
out_list.append('#'*str_len + word[-len_special_chars] if len_special_chars > 0 else '')
else:
# if the index is not a multiple of n, just add the word
out_list.append(word)
print(' '.join(out_list))
A mixed of regex and string manipulation
import re
string = "My dear adventurer, do you understand the nature of the given discussion?"
new_string = []
for i, s in enumerate(string.split()):
if (i+1) % 3 == 0:
s = re.sub(r'[^\.:,;\'"!\?]', '#', s)
new_string.append(s)
new_string = ' '.join(new_string)
print(new_string)
I'd like to compare 2 strings and keep the matched, splitting off where the comparison fails.
So if I have 2 strings:
string1 = "apples"
string2 = "appleses"
answer = "apples"
Another example, as the string could have more than one word:
string1 = "apple pie available"
string2 = "apple pies"
answer = "apple pie"
I'm sure there is a simple Python way of doing this but I can't work it out, any help and explanation appreciated.
For completeness, difflib in the standard-library provides loads of sequence-comparison utilities. For instance find_longest_match which finds the longest common substring when used on strings. Example use:
from difflib import SequenceMatcher
string1 = "apple pie available"
string2 = "come have some apple pies"
match = SequenceMatcher(None, string1, string2).find_longest_match()
print(match) # -> Match(a=0, b=15, size=9)
print(string1[match.a:match.a + match.size]) # -> apple pie
print(string2[match.b:match.b + match.size]) # -> apple pie
If you're using a version older than 3.9, you'need to call find_longest_match() with the following arguments:
SequenceMatcher(None, string1, string2).find_longest_match(0, len(string1), 0, len(string2))
One might also consider os.path.commonprefix that works on characters and thus can be used for any strings.
import os
common = os.path.commonprefix(['apple pie available', 'apple pies'])
assert common == 'apple pie'
As the function name indicates, this only considers the common prefix of two strings.
def common_start(sa, sb):
""" returns the longest common substring from the beginning of sa and sb """
def _iter():
for a, b in zip(sa, sb):
if a == b:
yield a
else:
return
return ''.join(_iter())
>>> common_start("apple pie available", "apple pies")
'apple pie'
Or a slightly stranger way:
def stop_iter():
"""An easy way to break out of a generator"""
raise StopIteration
def common_start(sa, sb):
return ''.join(a if a == b else stop_iter() for a, b in zip(sa, sb))
Which might be more readable as
def terminating(cond):
"""An easy way to break out of a generator"""
if cond:
return True
raise StopIteration
def common_start(sa, sb):
return ''.join(a for a, b in zip(sa, sb) if terminating(a == b))
Its called Longest Common Substring problem. Here I present a simple, easy to understand but inefficient solution. It will take a long time to produce correct output for large strings, as the complexity of this algorithm is O(N^2).
def longestSubstringFinder(string1, string2):
answer = ""
len1, len2 = len(string1), len(string2)
for i in range(len1):
match = ""
for j in range(len2):
if (i + j < len1 and string1[i + j] == string2[j]):
match += string2[j]
else:
if (len(match) > len(answer)): answer = match
match = ""
return answer
print(longestSubstringFinder("apple pie available", "apple pies"))
print(longestSubstringFinder("apples", "appleses"))
print(longestSubstringFinder("bapples", "cappleses"))
Output
apple pie
apples
apples
Fix bugs with the first's answer:
def longestSubstringFinder(string1, string2):
answer = ""
len1, len2 = len(string1), len(string2)
for i in range(len1):
for j in range(len2):
lcs_temp = 0
match = ''
while ((i+lcs_temp < len1) and (j+lcs_temp<len2) and string1[i+lcs_temp] == string2[j+lcs_temp]):
match += string2[j+lcs_temp]
lcs_temp += 1
if len(match) > len(answer):
answer = match
return answer
print(longestSubstringFinder("dd apple pie available", "apple pies"))
print(longestSubstringFinder("cov_basic_as_cov_x_gt_y_rna_genes_w1000000", "cov_rna15pcs_as_cov_x_gt_y_rna_genes_w1000000")
print(longestSubstringFinder("bapples", "cappleses"))
print(longestSubstringFinder("apples", "apples"))
The same as Evo's, but with arbitrary number of strings to compare:
def common_start(*strings):
""" Returns the longest common substring
from the beginning of the `strings`
"""
def _iter():
for z in zip(*strings):
if z.count(z[0]) == len(z): # check all elements in `z` are the same
yield z[0]
else:
return
return ''.join(_iter())
The fastest way I've found is to use suffix_trees package:
from suffix_trees import STree
a = ["xxxabcxxx", "adsaabc"]
st = STree.STree(a)
print(st.lcs()) # "abc"
This script requests you the minimum common substring length and gives all common substrings in two strings. Also, it eliminates shorter substrings that longer substrings include already.
def common_substrings(str1,str2):
len1,len2=len(str1),len(str2)
if len1 > len2:
str1,str2=str2,str1
len1,len2=len2,len1
#short string=str1 and long string=str2
min_com = int(input('Please enter the minumum common substring length:'))
cs_array=[]
for i in range(len1,min_com-1,-1):
for k in range(len1-i+1):
if (str1[k:i+k] in str2):
flag=1
for m in range(len(cs_array)):
if str1[k:i+k] in cs_array[m]:
#print(str1[k:i+k])
flag=0
break
if flag==1:
cs_array.append(str1[k:i+k])
if len(cs_array):
print(cs_array)
else:
print('There is no any common substring according to the parametres given')
common_substrings('ciguliuana','ciguana')
common_substrings('apples','appleses')
common_substrings('apple pie available','apple pies')
Try:
import itertools as it
''.join(el[0] for el in it.takewhile(lambda t: t[0] == t[1], zip(string1, string2)))
It does the comparison from the beginning of both strings.
def matchingString(x,y):
match=''
for i in range(0,len(x)):
for j in range(0,len(y)):
k=1
# now applying while condition untill we find a substring match and length of substring is less than length of x and y
while (i+k <= len(x) and j+k <= len(y) and x[i:i+k]==y[j:j+k]):
if len(match) <= len(x[i:i+k]):
match = x[i:i+k]
k=k+1
return match
print matchingString('apple','ale') #le
print matchingString('apple pie available','apple pies') #apple pie
A Trie data structure would work the best, better than DP.
Here is the code.
class TrieNode:
def __init__(self):
self.child = [None]*26
self.endWord = False
class Trie:
def __init__(self):
self.root = self.getNewNode()
def getNewNode(self):
return TrieNode()
def insert(self,value):
root = self.root
for i,character in enumerate(value):
index = ord(character) - ord('a')
if not root.child[index]:
root.child[index] = self.getNewNode()
root = root.child[index]
root.endWord = True
def search(self,value):
root = self.root
for i,character in enumerate(value):
index = ord(character) - ord('a')
if not root.child[index]:
return False
root = root.child[index]
return root.endWord
def main():
# Input keys (use only 'a' through 'z' and lower case)
keys = ["the","anaswe"]
output = ["Not present in trie",
"Present in trie"]
# Trie object
t = Trie()
# Construct trie
for key in keys:
t.insert(key)
# Search for different keys
print("{} ---- {}".format("the",output[t.search("the")]))
print("{} ---- {}".format("these",output[t.search("these")]))
print("{} ---- {}".format("their",output[t.search("their")]))
print("{} ---- {}".format("thaw",output[t.search("thaw")]))
if __name__ == '__main__':
main()
Let me know in case of doubts.
In case we have a list of words that we need to find all common substrings I check some of the codes above and the best was https://stackoverflow.com/a/42882629/8520109 but it has some bugs for example 'histhome' and 'homehist'. In this case, we should have 'hist' and 'home' as a result. Furthermore, it differs if the order of arguments is changed. So I change the code to find every block of substring and it results a set of common substrings:
main = input().split(" ") #a string of words separated by space
def longestSubstringFinder(string1, string2):
'''Find the longest matching word'''
answer = ""
len1, len2 = len(string1), len(string2)
for i in range(len1):
for j in range(len2):
lcs_temp=0
match=''
while ((i+lcs_temp < len1) and (j+lcs_temp<len2) and string1[i+lcs_temp] == string2[j+lcs_temp]):
match += string2[j+lcs_temp]
lcs_temp+=1
if (len(match) > len(answer)):
answer = match
return answer
def listCheck(main):
'''control the input for finding substring in a list of words'''
string1 = main[0]
result = []
for i in range(1, len(main)):
string2 = main[i]
res1 = longestSubstringFinder(string1, string2)
res2 = longestSubstringFinder(string2, string1)
result.append(res1)
result.append(res2)
result.sort()
return result
first_answer = listCheck(main)
final_answer = []
for item1 in first_answer: #to remove some incorrect match
string1 = item1
double_check = True
for item2 in main:
string2 = item2
if longestSubstringFinder(string1, string2) != string1:
double_check = False
if double_check:
final_answer.append(string1)
print(set(final_answer))
main = 'ABACDAQ BACDAQA ACDAQAW XYZCDAQ' #>>> {'CDAQ'}
main = 'homehist histhome' #>>> {'hist', 'home'}
def LongestSubString(s1,s2):
if len(s1)<len(s2) :
s1,s2 = s2,s1
maxsub =''
for i in range(len(s2)):
for j in range(len(s2),i,-1):
if s2[i:j] in s1 and j-i>len(maxsub):
return s2[i:j]
Returns the first longest common substring:
def compareTwoStrings(string1, string2):
list1 = list(string1)
list2 = list(string2)
match = []
output = ""
length = 0
for i in range(0, len(list1)):
if list1[i] in list2:
match.append(list1[i])
for j in range(i + 1, len(list1)):
if ''.join(list1[i:j]) in string2:
match.append(''.join(list1[i:j]))
else:
continue
else:
continue
for string in match:
if length < len(list(string)):
length = len(list(string))
output = string
else:
continue
return output
**Return the comman longest substring**
def longestSubString(str1, str2):
longestString = ""
maxLength = 0
for i in range(0, len(str1)):
if str1[i] in str2:
for j in range(i + 1, len(str1)):
if str1[i:j] in str2:
if(len(str1[i:j]) > maxLength):
maxLength = len(str1[i:j])
longestString = str1[i:j]
return longestString
This is the classroom problem called 'Longest sequence finder'. I have given some simple code that worked for me, also my inputs are lists of a sequence which can also be a string:
def longest_substring(list1,list2):
both=[]
if len(list1)>len(list2):
small=list2
big=list1
else:
small=list1
big=list2
removes=0
stop=0
for i in small:
for j in big:
if i!=j:
removes+=1
if stop==1:
break
elif i==j:
both.append(i)
for q in range(removes+1):
big.pop(0)
stop=1
break
removes=0
return both
As if this question doesn't have enough answers, here's another option:
from collections import defaultdict
def LongestCommonSubstring(string1, string2):
match = ""
matches = defaultdict(list)
str1, str2 = sorted([string1, string2], key=lambda x: len(x))
for i in range(len(str1)):
for k in range(i, len(str1)):
cur = match + str1[k]
if cur in str2:
match = cur
else:
match = ""
if match:
matches[len(match)].append(match)
if not matches:
return ""
longest_match = max(matches.keys())
return matches[longest_match][0]
Some example cases:
LongestCommonSubstring("whose car?", "this is my car")
> ' car'
LongestCommonSubstring("apple pies", "apple? forget apple pie!")
> 'apple pie'
This isn't the most efficient way to do it but it's what I could come up with and it works. If anyone can improve it, please do. What it does is it makes a matrix and puts 1 where the characters match. Then it scans the matrix to find the longest diagonal of 1s, keeping track of where it starts and ends. Then it returns the substring of the input string with the start and end positions as arguments.
Note: This only finds one longest common substring. If there's more than one, you could make an array to store the results in and return that Also, it's case sensitive so (Apple pie, apple pie) will return pple pie.
def longestSubstringFinder(str1, str2):
answer = ""
if len(str1) == len(str2):
if str1==str2:
return str1
else:
longer=str1
shorter=str2
elif (len(str1) == 0 or len(str2) == 0):
return ""
elif len(str1)>len(str2):
longer=str1
shorter=str2
else:
longer=str2
shorter=str1
matrix = numpy.zeros((len(shorter), len(longer)))
for i in range(len(shorter)):
for j in range(len(longer)):
if shorter[i]== longer[j]:
matrix[i][j]=1
longest=0
start=[-1,-1]
end=[-1,-1]
for i in range(len(shorter)-1, -1, -1):
for j in range(len(longer)):
count=0
begin = [i,j]
while matrix[i][j]==1:
finish=[i,j]
count=count+1
if j==len(longer)-1 or i==len(shorter)-1:
break
else:
j=j+1
i=i+1
i = i-count
if count>longest:
longest=count
start=begin
end=finish
break
answer=shorter[int(start[0]): int(end[0])+1]
return answer
First a helper function adapted from the itertools pairwise recipe to produce substrings.
import itertools
def n_wise(iterable, n = 2):
'''n = 2 -> (s0,s1), (s1,s2), (s2, s3), ...
n = 3 -> (s0,s1, s2), (s1,s2, s3), (s2, s3, s4), ...'''
a = itertools.tee(iterable, n)
for x, thing in enumerate(a[1:]):
for _ in range(x+1):
next(thing, None)
return zip(*a)
Then a function the iterates over substrings, longest first, and tests for membership. (efficiency not considered)
def foo(s1, s2):
'''Finds the longest matching substring
'''
# the longest matching substring can only be as long as the shortest string
#which string is shortest?
shortest, longest = sorted([s1, s2], key = len)
#iterate over substrings, longest substrings first
for n in range(len(shortest)+1, 2, -1):
for sub in n_wise(shortest, n):
sub = ''.join(sub)
if sub in longest:
#return the first one found, it should be the longest
return sub
s = "fdomainster"
t = "exdomainid"
print(foo(s,t))
>>>
domain
>>>
def LongestSubString(s1,s2):
left = 0
right =len(s2)
while(left<right):
if(s2[left] not in s1):
left = left+1
else:
if(s2[left:right] not in s1):
right = right - 1
else:
return(s2[left:right])
s1 = "pineapple"
s2 = "applc"
print(LongestSubString(s1,s2))
''' Cesar Cipher '''
def encrypt(word, shift):
word = word.lower()
for i in word:
r = chr(ord(i)+shift)
if r > "z":
r = chr(ord(i) - 26 + shift)
word = word.replace(i, r)
return word
if __name__ == "__main__": print encrypt("programming", 3)
This gives me wrong answers on shifts higher than 1 and words longer then 2. I can't figure out why. Any help please?
Thilo explains the problem exactly. Let's step through it:
''' Cesar Cipher '''
def encrypt(word, shift):
word = word.lower()
for i in word:
r = chr(ord(i)+shift)
if r > "z":
r = chr(ord(i) - 26 + shift)
word = word.replace(i, r)
return word
Try encrypt('abc', 1) and see what happens:
First loop:
i = 'a'
r = chr(ord('a')+1) = 'b'
word = 'abc'.replace('a', 'b') = 'bbc'
Second loop:
i = 'b'
r = chr(ord('b')+1) = 'c'
word = 'bbc'.replace('b', 'c') = 'ccc'
Third loop:
i = 'c'
r = chr(ord('c')+1) = 'd'
word = 'ccc'.replace('c', 'd') = 'ddd'
You don't want to replace every instance of i with r, just this one. How would you do this? Well, if you keep track of the index, you can just replace at that index. The built-in enumerate function lets you get each index and each corresponding value at the same time.
for index, ch in enumerate(word):
r = chr(ord(ch)+shift)
if r > "z":
r = chr(ord(ch) - 26 + shift)
word = new_word_replacing_one_char(index, r)
Now you just have to write that new_word_replacing_one_char function, which is pretty easy if you know slicing. (If you haven't learned slicing yet, you may want to convert the string into a list of characters, so you can just say word[index] = r, and then convert back into a string at the end.)
I don't know how Python likes replacing characters in the word while you are iterating over it, but one thing that seems to be a problem for sure is repeated letters, because replace will replace all occurrences of the letter, not just the one you are currently looking at, so you will end up shifting those repeated letters more than once (as you hit them again in a later iteration).
Come to think of it, this will also happen with non-repeated letters. For example, shifting ABC by 1 will become -> BBC -> CCC -> DDD in your three iterations.
I had this assignment as well. The hint is you have to keep track of where the values wrap, and use that to your advantage. I also recommend using the upper function call so everything is the same case, reduces the number of checks to do.
In Python, strings are immutable - that is they cannot be changed. Lists, however, can be. So to use your algorithm, use a list instead:
''' Cesar Cipher '''
def encrypt(word, shift):
word = word.lower()
# Convert the word to a list
word = list(word)
# Iterate over the word by index
for i in xrange(len(word)):
# Get the character at i
c = word[i]
# Apply shift algorithm
r = chr(ord(c)+shift)
if r > "z":
r = chr(ord(c) - 26 + shift)
# Replace the character at i
word[i] = r
# Convert the list back to a string
return ''.join(word)
if __name__ == "__main__": print encrypt("programming", 3)
Python has string.find() and string.rfind() to get the index of a substring in a string.
I'm wondering whether there is something like string.find_all() which can return all found indexes (not only the first from the beginning or the first from the end).
For example:
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]
For counting the occurrences, see Count number of occurrences of a substring in a string.
There is no simple built-in string function that does what you're looking for, but you could use the more powerful regular expressions:
import re
[m.start() for m in re.finditer('test', 'test test test test')]
#[0, 5, 10, 15]
If you want to find overlapping matches, lookahead will do that:
[m.start() for m in re.finditer('(?=tt)', 'ttt')]
#[0, 1]
If you want a reverse find-all without overlaps, you can combine positive and negative lookahead into an expression like this:
search = 'tt'
[m.start() for m in re.finditer('(?=%s)(?!.{1,%d}%s)' % (search, len(search)-1, search), 'ttt')]
#[1]
re.finditer returns a generator, so you could change the [] in the above to () to get a generator instead of a list which will be more efficient if you're only iterating through the results once.
>>> help(str.find)
Help on method_descriptor:
find(...)
S.find(sub [,start [,end]]) -> int
Thus, we can build it ourselves:
def find_all(a_str, sub):
start = 0
while True:
start = a_str.find(sub, start)
if start == -1: return
yield start
start += len(sub) # use start += 1 to find overlapping matches
list(find_all('spam spam spam spam', 'spam')) # [0, 5, 10, 15]
No temporary strings or regexes required.
Here's a (very inefficient) way to get all (i.e. even overlapping) matches:
>>> string = "test test test test"
>>> [i for i in range(len(string)) if string.startswith('test', i)]
[0, 5, 10, 15]
Use re.finditer:
import re
sentence = input("Give me a sentence ")
word = input("What word would you like to find ")
for match in re.finditer(word, sentence):
print (match.start(), match.end())
For word = "this" and sentence = "this is a sentence this this" this will yield the output:
(0, 4)
(19, 23)
(24, 28)
Again, old thread, but here's my solution using a generator and plain str.find.
def findall(p, s):
'''Yields all the positions of
the pattern p in the string s.'''
i = s.find(p)
while i != -1:
yield i
i = s.find(p, i+1)
Example
x = 'banananassantana'
[(i, x[i:i+2]) for i in findall('na', x)]
returns
[(2, 'na'), (4, 'na'), (6, 'na'), (14, 'na')]
You can use re.finditer() for non-overlapping matches.
>>> import re
>>> aString = 'this is a string where the substring "is" is repeated several times'
>>> print [(a.start(), a.end()) for a in list(re.finditer('is', aString))]
[(2, 4), (5, 7), (38, 40), (42, 44)]
but won't work for:
In [1]: aString="ababa"
In [2]: print [(a.start(), a.end()) for a in list(re.finditer('aba', aString))]
Output: [(0, 3)]
Come, let us recurse together.
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]
No need for regular expressions this way.
If you're just looking for a single character, this would work:
string = "dooobiedoobiedoobie"
match = 'o'
reduce(lambda count, char: count + 1 if char == match else count, string, 0)
# produces 7
Also,
string = "test test test test"
match = "test"
len(string.split(match)) - 1
# produces 4
My hunch is that neither of these (especially #2) is terribly performant.
this is an old thread but i got interested and wanted to share my solution.
def find_all(a_string, sub):
result = []
k = 0
while k < len(a_string):
k = a_string.find(sub, k)
if k == -1:
return result
else:
result.append(k)
k += 1 #change to k += len(sub) to not search overlapping results
return result
It should return a list of positions where the substring was found.
Please comment if you see an error or room for improvment.
This does the trick for me using re.finditer
import re
text = 'This is sample text to test if this pythonic '\
'program can serve as an indexing platform for '\
'finding words in a paragraph. It can give '\
'values as to where the word is located with the '\
'different examples as stated'
# find all occurances of the word 'as' in the above text
find_the_word = re.finditer('as', text)
for match in find_the_word:
print('start {}, end {}, search string \'{}\''.
format(match.start(), match.end(), match.group()))
This thread is a little old but this worked for me:
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)
You can try :
>>> string = "test test test test"
>>> for index,value in enumerate(string):
if string[index:index+(len("test"))] == "test":
print index
0
5
10
15
You can try :
import re
str1 = "This dress looks good; you have good taste in clothes."
substr = "good"
result = [_.start() for _ in re.finditer(substr, str1)]
# result = [17, 32]
When looking for a large amount of key words in a document, use flashtext
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)
Flashtext runs faster than regex on large list of search words.
This function does not look at all positions inside the string, it does not waste compute resources. My try:
def findAll(string,word):
all_positions=[]
next_pos=-1
while True:
next_pos=string.find(word,next_pos+1)
if(next_pos<0):
break
all_positions.append(next_pos)
return all_positions
to use it call it like this:
result=findAll('this word is a big word man how many words are there?','word')
src = input() # we will find substring in this string
sub = input() # substring
res = []
pos = src.find(sub)
while pos != -1:
res.append(pos)
pos = src.find(sub, pos + 1)
Whatever the solutions provided by others are completely based on the available method find() or any available methods.
What is the core basic algorithm to find all the occurrences of a
substring in a string?
def find_all(string,substring):
"""
Function: Returning all the index of substring in a string
Arguments: String and the search string
Return:Returning a list
"""
length = len(substring)
c=0
indexes = []
while c < len(string):
if string[c:c+length] == substring:
indexes.append(c)
c=c+1
return indexes
You can also inherit str class to new class and can use this function
below.
class newstr(str):
def find_all(string,substring):
"""
Function: Returning all the index of substring in a string
Arguments: String and the search string
Return:Returning a list
"""
length = len(substring)
c=0
indexes = []
while c < len(string):
if string[c:c+length] == substring:
indexes.append(c)
c=c+1
return indexes
Calling the method
newstr.find_all('Do you find this answer helpful? then upvote
this!','this')
This is solution of a similar question from hackerrank. I hope this could help you.
import re
a = input()
b = input()
if b not in a:
print((-1,-1))
else:
#create two list as
start_indc = [m.start() for m in re.finditer('(?=' + b + ')', a)]
for i in range(len(start_indc)):
print((start_indc[i], start_indc[i]+len(b)-1))
Output:
aaadaa
aa
(0, 1)
(1, 2)
(4, 5)
Here's a solution that I came up with, using assignment expression (new feature since Python 3.8):
string = "test test test test"
phrase = "test"
start = -1
result = [(start := string.find(phrase, start + 1)) for _ in range(string.count(phrase))]
Output:
[0, 5, 10, 15]
I think the most clean way of solution is without libraries and yields:
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)
Note: find() method returns -1 when it can't find anything
The pythonic way would be:
mystring = 'Hello World, this should work!'
find_all = lambda c,s: [x for x in range(c.find(s), len(c)) if c[x] == s]
# s represents the search string
# c represents the character string
find_all(mystring,'o') # will return all positions of 'o'
[4, 7, 20, 26]
>>>
if you only want to use numpy here is a solution
import numpy as np
S= "test test test test"
S2 = 'test'
inds = np.cumsum([len(k)+len(S2) for k in S.split(S2)[:-1]])- len(S2)
print(inds)
if you want to use without re(regex) then:
find_all = lambda _str,_w : [ i for i in range(len(_str)) if _str.startswith(_w,i) ]
string = "test test test test"
print( find_all(string, 'test') ) # >>> [0, 5, 10, 15]
please look at below code
#!/usr/bin/env python
# coding:utf-8
'''黄哥Python'''
def get_substring_indices(text, s):
result = [i for i in range(len(text)) if text.startswith(s, i)]
return result
if __name__ == '__main__':
text = "How much wood would a wood chuck chuck if a wood chuck could chuck wood?"
s = 'wood'
print get_substring_indices(text, s)
def find_index(string, let):
enumerated = [place for place, letter in enumerate(string) if letter == let]
return enumerated
for example :
find_index("hey doode find d", "d")
returns:
[4, 7, 13, 15]
Not exactly what OP asked but you could also use the split function to get a list of where all the substrings don't occur. OP didn't specify the end goal of the code but if your goal is to remove the substrings anyways then this could be a simple one-liner. There are probably more efficient ways to do this with larger strings; regular expressions would be preferable in that case
# Extract all non-substrings
s = "an-example-string"
s_no_dash = s.split('-')
# >>> s_no_dash
# ['an', 'example', 'string']
# Or extract and join them into a sentence
s_no_dash2 = ' '.join(s.split('-'))
# >>> s_no_dash2
# 'an example string'
Did a brief skim of other answers so apologies if this is already up there.
def count_substring(string, sub_string):
c=0
for i in range(0,len(string)-2):
if string[i:i+len(sub_string)] == sub_string:
c+=1
return c
if __name__ == '__main__':
string = input().strip()
sub_string = input().strip()
count = count_substring(string, sub_string)
print(count)
I runned in the same problem and did this:
hw = 'Hello oh World!'
list_hw = list(hw)
o_in_hw = []
while True:
o = hw.find('o')
if o != -1:
o_in_hw.append(o)
list_hw[o] = ' '
hw = ''.join(list_hw)
else:
print(o_in_hw)
break
Im pretty new at coding so you can probably simplify it (and if planned to used continuously of course make it a function).
All and all it works as intended for what i was doing.
Edit: Please consider this is for single characters only, and it will change your variable, so you have to create a copy of the string in a new variable to save it, i didnt put it in the code cause its easy and its only to show how i made it work.
By slicing we find all the combinations possible and append them in a list and find the number of times it occurs using count function
s=input()
n=len(s)
l=[]
f=input()
print(s[0])
for i in range(0,n):
for j in range(1,n+1):
l.append(s[i:j])
if f in l:
print(l.count(f))
To find all the occurence of a character in a give string and return as a dictionary
eg: hello
result :
{'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 {}
or else you do like this
from collections import Counter
def count(string):
return Counter(string)