Tag: regex

Regex – Negative Lookahead to match a string with any non-Chinese UTF characters

python python-3.x regex regex-lookarounds

Intention to create a regex which creates a match when there is any character, ASCII, Unicode or otherwise, which does not fall into any of the valid UTF-8 ranges for Chinese characters. The match itself does not matter, but rather that the non-Chinese characters are present. Note that the presence of rare, and unused Chinese characters within the UTF-8 charset

Regex within Pandas DataFrame – finding minimum length between characters

pandas python regex string substring

Edit: Updated for reproducibility I am currently working within a Pandas DataFrame, with a list of strings held within each row of a column [Column A]. I am trying to extract the minimum distance between any sublist combination of a keyword list (List B) whilst each row in the Dataframe column contains a list of strings. At a high level,

grab specific field value from the string using regex

python regex

I’ve a text file, from that I have extracted these two paragraph block. The text example is given below: Text Example: NOMEAR ISABELLE FERREIRA ZARONI, ID FUNCIONAL Nº 5100796-7, para exercer, com validade a contar de 16 de novembro de 2020, o cargo em comissão de Assessor, símbolo DAS-7, da Sub- secretaria de Concessões e Parcerias, da Secretaria de Estado

How to extract multiple strings using Regex?

python regex

I have a column in a df contains the following values: I would like to use regex to extract the KEY into a new column without the actual “KEY_”. For those sentences have more than 1 KEY, they should be joined with a comma. The output should be as below: I tried with this code but it is not working.

Question on regex not performing as expected

python python-re regex

I am trying to change the suffixes of companies such that they are all in a common pattern such as Limited, Limiteed all to LTD. Here is my code: I’m trying ‘ABC CORPORATN’ and it’s not converting it to CORP. I can’t see what the issue is. Any help would be great. Edit: I have tried the other endings that

How to replace rows which do not follow a specific schema-pattern? [closed]

pandas python regex

Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 2 years ago. Improve this question I would like to delete all the rows that does not follow this pattern My column is type(‘O’) and I

Python using Regular Expression to convert a string

python regex

I want to convert the duration variable from YouTube Data api? PT1M6S –> 1:06 PT38S –> 0:38 PT58M4 –> 58:04 Here is my codes: p[‘duration’] is the value from json data Is there a simple way to do in one regex statement? Thanks! Answer An alternative to using a regex is using parser from dateutil. It has an option fuzzy

Python regex match string of 8 characters that contain both alphabets and numbers

python regex

I am trying to match a string of length 8 containing both numbers and alphabets(cannot have just numbers or just alphabets)using re.findall. The string can start with either letter or alphabet followed by any combination. e.g.- Input String: The reference number is 896av6uf and not 87987647 or ahduhsjs or hn0. Output: [‘896av6uf’,’a96bv6u0′] I came up with this regex r'([a-z]+[d]+[w]*|[d]+[a-z]+[w]*)’ however

regex or does not work – I do not know what is wrong in my pattern

python regex

I have the following strings: I want to have it separated: I want all numbers, exact matches for (na, nan, none)-upper and lower cases and “” in first group like: This would be wrong: I want How do I write a regex which checks exact matches like ‘none’ – not case sensitive (should recognize also ‘None’,’nOne’ etc.)? https://regex101.com/r/HvnZ47/3 Answer What

How to substitute only second occurrence of re.search() group

python regex

I need to replace part of the string value with extra zeroes if it needs. T-46-5-В,Г,6-В,Г —> T-46-005-В,Г,006-В,Г or T-46-55-В,Г,56-В,Г —> T-46-055-В,Г,066-В,Г, for example. I have Regex pattern ^D-d{1,2}-([d,]+)-[а-яА-я,]+,([d,]+)-[а-яА-я,]+$ that retrieves 2 separate groups of the string, that i must change. The problem is I can’t substitute back exact same groups with changed values if there is another occurrence of