如何在python中用两个不同的单词拆分两个名字

Question

I am trying to split misspelled first names. Most of them are joined together. I was wondering if there is any way to separate two first names that are together into two different words.

For example, if the misspelled name is trujillohernandez then to be separated to trujillo hernandez .

I am trying to create a function that can do this for a whole column with thousands of misspelled names like the example above. However, I haven't been successful. Spell-checkers libraries do not work given that these are first names and they are Hispanic names.

I would be really grateful if you can help to develop some sort of function to make it happen.

Answer 1

As noted in the comments above not having a list of possible names will cause a problem. However, and perhaps not perfect, but to offer something try...

Given a dataframe example like...

    Name
0   sofíagomez
1   isabelladelgado
2   luisvazquez
3   juanhernandez
4   valentinatrujillo
5   camilagutierrez
6   joséramos
7   carlossantana

Code (Python):

import pandas as pd
import requests

# longest list of hispanic surnames I could find in a table
url = r'https://namecensus.com/data/hispanic.html'

# download the table into a frame and clean up the header
page = requests.get(url)
table = pd.read_html(page.text.replace('<br />',' '))
df = table[0]
df.columns = df.iloc[0]
df = df[1:]

# move the frame of surnames to a list
last_names = df['Last name / Surname'].tolist()
last_names = [each_string.lower() for each_string in last_names]

# create a test dataframe of joined firstnames and lastnames
data = {'Name' : ['sofíagomez', 'isabelladelgado', 'luisvazquez', 'juanhernandez', 'valentinatrujillo', 'camilagutierrez', 'joséramos', 'carlossantana']}
df = pd.DataFrame(data, columns=['Name'])

# create new columns for the matched names
lastname = '({})'.format('|'.join(last_names))
df['Firstname'] = df.Name.str.replace(str(lastname)+'$', '', regex=True).fillna('--not found--')
df['Lastname'] = df.Name.str.extract(str(lastname)+'$', expand=False).fillna('--not found--')

# output the dataframe
print('\n\n')
print(df)

Outputs:

    Name                Firstname   Lastname
0   sofíagomez          sofía       gomez
1   isabelladelgado     isabella    delgado
2   luisvazquez         luis        vazquez
3   juanhernandez       juan        hernandez
4   valentinatrujillo   valentina   trujillo
5   camilagutierrez     camila      gutierrez
6   joséramos           josé        ramos
7   carlossantana       carlos      santana

Further cleanup may be required but perhaps it gets the majority of names split.