Assume there's a string
"An example striiiiiing with other words"
I need to replace the 'i's with '*'s like 'str******ng'. The number of '*' must be same as 'i'. This replacement should happen only if there are consecutive 'i' greater than or equal to 3. If the number of 'i' is less than 3 then there is a different rule for that. I can hard code it:
import re
text = "An example striiiiing with other words"
out_put = re.sub(re.compile(r'i{3}', re.I), r'*'*3, text)
print(out_put)
# An example str***iing with other words
But number of i could be any number greater than 3. How can we do that using regex?
The i{3} pattern only matches iii anywhere in the string. You need i{3,} to match three or more is. However, to make it all work, you need to pass your match into a callable used as a replacement argument to re.sub, where you can get the match text length and multiply correctly.
Also, it is advisable to declare the regex outside of re.sub, or just use a string pattern since patterns are cached.
Here is the code that fixes the issue:
import re
text = "An example striiiiing with other words"
rx = re.compile(r'i{3,}', re.I)
out_put = rx.sub(lambda x: r'*'*len(x.group()), text)
print(out_put)
# => An example str*****ng with other words
Related
Is there a way to replace the matched pattern substring using a single re.sub() line?.
What I would like to avoid is using a string replace method to the current re.sub() output.
Input = "/J&L/LK/Tac1_1/shareloc.pdf"
Current output using re.sub("[^0-9_]", "", input): "1_1"
Desired output in a single re.sub use: "1.1"
According to the documentation, re.sub is defined as
re.sub(pattern, repl, string, count=0, flags=0)
If repl is a function, it is called for every non-overlapping occurrence of pattern.
This said, if you pass a lambda function, you can remain the code in one line. Furthermore, remember that the matched characters can be accessed easier to an individual group by: x[0].
I removed _ from the regex to reach the desired output.
txt = "/J&L/LK/Tac1_1/shareloc.pdf"
x = re.sub("[^0-9]", lambda x: '.' if x[0] is '_' else '', txt)
print(x)
There is no way to use a string replacement pattern in Python re.sub to replace with two possible strings, as there is no conditional replacement construct support in Python re.sub. So, using a callable as the replacement argument or use other work-arounds.
It looks like you only expect one match of <DIGITS>_<DIGITS> in the input string. In this case, you can use
import re
text = "/J&L/LK/Tac1_1/shareloc.pdf"
print( re.sub(r'^.*?(\d+)_(\d+).*', r'\1.\2', text, flags=re.S) )
# => 1.1
See the Python demo. See the regex demo. Details:
^ - start of string
.*? - zero or more chars as few as possible
(\d+) - Group 1: one or more digits
_ - a _ char
(\d+) - Group 2: one or more digits
.* - zero or more chars as many as possible.
I want to write a function that, given a string, returns a new string in which occurences of a sequence of the same consonant with 2 or more elements are replaced with the same sequence except the first consonant - which should be replaced with the character 'm'.
The explanation was probably very confusing, so here are some examples:
"hello world" should return "hemlo world"
"Hannibal" should return "Hamnibal"
"error" should return "emror"
"although" should return "although" (returns the same string because none of the characters are repeated in a sequence)
"bbb" should return "mbb"
I looked into using regex but wasn't able to achieve what I wanted. Any help is appreciated.
Thank you in advance!
Regex is probably the best tool for the job here. The 'correct' expression is
test = """
hello world
Hannibal
error
although
bbb
"""
output = re.sub(r'(.)\1+', lambda g:f'm{g.group(0)[1:]}', test)
# '''
# hemlo world
# Hamnibal
# emror
# although
# mbb
# '''
The only real complicated part of this is the lambda that we give as an argument. re.sub() can accept one as its 'replacement criteria' - it gets passed a regex object (which we call .group(0) on to get the full match, i.e. all of the repeated letters) and should output a string, with which to replace whatever was matched. Here, we use it to output the character 'm' followed by the second character onwards of the match, in an f-string.
The regex itself is pretty straightforward as well. Any character (.), then the same character (\1) again one or more times (+). If you wanted just alphanumerics (i.e. not to replace duplicate whitespace characters), you could use (\w) instead of (.)
Need help with a regular expression to grab exactly n lines of text between two regex matches. For example, I need 17 lines of text and I used the example below, which does not work. I
Please see sample code below:
import re
match_string = re.search(r'^.*MDC_IDC_RAW_MARKER((.*?\r?\n){17})Stored_EGM_Trigger.*\n'), t, re.DOTALL).group()
value1 = re.search(r'value="(\d+)"', match_string).group(1)
value2 = re.search(r'value="(\d+\.\d+)"', match_string).group(1)
print(match_string)
print(value1)
print(value2)
I added a sample string to here, because SO does not allow long code string:
https://hastebin.com/aqowusijuc.xml
You are getting false positives because you are using the re.DOTALL flag, which allows the . character to match newline characters. That is, when you are matching ((.*?\r?\n){17}), the . could eat up many extra newline characters just to satisfy your required count of 17. You also now realize that the \r is superfluous. Also, starting your regex with ^.*? is superfluous because you are forcing the search to start from the beginning but then saying that the search engine should skip as many characters as necessary to find MDC_IDC_RAW_MARKER. So, a simplified and correct regex would be:
match_string = re.search(r'MDC_IDC_RAW_MARKER.*\n((.*\n){17})Stored_EGM_Trigger.*\n', t)
Regex Demo
I have a problem with splitting string into two parts on special character.
For example:
12345#data
or
1234567#data
I have 5-7 characters in first part separated with "#" from second part, where are another data (characters,numbers, doesn't matter what)
I need to store two parts on each side of # in two variables:
x = 12345
y = data
without "#" character.
I was looking for some Lua string function like splitOn("#") or substring until character, but I haven't found that.
Use string.match and captures.
Try this:
s = "12345#data"
a,b = s:match("(.+)#(.+)")
print(a,b)
See this documentation:
First of all, although Lua does not have a split function is its standard library, it does have string.gmatch, which can be used instead of a split function in many cases. Unlike a split function, string.gmatch takes a pattern to match the non-delimiter text, instead of the delimiters themselves
It is easily achievable with the help of a negated character class with string.gmatch:
local example = "12345#data"
for i in string.gmatch(example, "[^#]+") do
print(i)
end
See IDEONE demo
The [^#]+ pattern matches one or more characters other than # (so, it "splits" a string with 1 character).
Is there a function for counting the number of times a particular keyword is contained in a dataset?
For example, if dataset <- c("corn", "cornmeal", "corn on the cob", "meal") the count would be 3.
Let's for the moment assume you wanted the number of element containing "corn":
length(grep("corn", dataset))
[1] 3
After you get the basics of R down better you may want to look at the "tm" package.
EDIT: I realize that this time around you wanted any-"corn" but in the future you might want to get word-"corn". Over on r-help Bill Dunlap pointed out a more compact grep pattern for gathering whole words:
grep("\\<corn\\>", dataset)
Another quite convenient and intuitive way to do it is to use the str_count function of the stringr package:
library(stringr)
dataset <- c("corn", "cornmeal", "corn on the cob", "meal")
# for mere occurences of the pattern:
str_count(dataset, "corn")
# [1] 1 1 1 0
# for occurences of the word alone:
str_count(dataset, "\\bcorn\\b")
# [1] 1 0 1 0
# summing it up
sum(str_count(dataset, "corn"))
# [1] 3
You can also do something like the following:
length(dataset[which(dataset=="corn")])
I'd just do it with string division like:
library(roperators)
dataset <- c("corn", "cornmeal", "corn on the cob", "meal")
# for each vector element:
dataset %s/% 'corn'
# for everything:
sum(dataset %s/% 'corn')
You can use the str_count function from the stringr package to get the number of keywords that match a given character vector.
The pattern argument of the str_count function accepts a regular expression that can be used to specify the keyword.
The regular expression syntax is very flexible and allows matching whole words as well as character patterns.
For example the following code will count all occurrences of the string "corn" and will return 3:
sum(str_count(dataset, regex("corn")))
To match complete words use:
sum(str_count(dataset, regex("\\bcorn\\b")))
The "\b" is used to specify a word boundary. When using str_count function, the default definition of word boundary includes apostrophe. So if your dataset contains the string "corn's", it would be matched and included in the result.
This is because apostrophe is considered as a word boundary by default. To prevent words containing apostrophe from being counted, use the regex function with parameter uword = T. This will cause the regular expression engine to use the unicode TR 29 definition of word boundaries. See http://unicode.org/reports/tr29/tr29-4.html. This definition does not consider apostrophe as a word boundary.
The following code will give the number of time the word "corn" occurs. Words such as "corn's" will not be included.
sum(str_count(dataset, regex("\\bcorn\\b", uword = T)))