Category : string

[{"record id" : "12345", "person id" : "4567", "person_name" : "Scott", "beagle_masterpersonid" : "0", "masterpersonid" : "568", "datasource" : "sheriff", "convicted_of" : "murder", "record" : "xyz", "record_title": "police", "record_insertdate" : "10-4-2021", "record_date" : "15-04-2021", "occur_from" : "sheriff", "occur_to": "covicted", "record_description" : "cbnvhjdi" , "activity" : "arrested", "receiving_agency" : "central", "detention_facility" : "police station", "detention_status" : ..

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I’m using StringGrouper to group the similar data together and I want to see the group data in json file how can I parse the data into json file here is my code: import pandas as pd from string_grouper import match_strings, match_most_similar, group_similar_strings, compute_pairwise_similarities, StringGrouper string_grouper = StringGrouper(data[‘name’],ignore_index=True,min_similarity=0.83) string_grouper = string_grouper.fit() data[‘deduplicated_name’] = string_grouper.get_groups() Source: ..

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I have extracted an email and save it to a text file that is not properly formatted. How to remove unwanted line spacing and paragraph spacing? The file looks like this: Hi Kim, Hope you are fine. Your Code is: 42483423 Thanks and Regards, Bolt I want to open and edit this file and arrange ..

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This is the code but the part of the error is where is the extraction of the substrings after validating the regex pattern structure def name_and_img_identificator(input_text, text): input_text = re.sub(r"([^nu0300-u036f]|n(?!u0303(?![u0300-u036f])))[u0300-u036f]+", r"", normalize("NFD", input_text), 0, re.I) input_text = normalize( ‘NFC’, input_text) # -> NFC input_text_to_check = input_text.lower() #Convierte a minuscula todo regex_patron_01 = r"s*¿?(?:dime los|dime las|dime ..

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