python_reference/useful_scripts/preprocess_first_last_names.py

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# Sebastian Raschka 2014
#
# A Python function to generalize first and last names.
# The typical use case of such a function to merge data that have been collected
# from different sources (e.g., names of soccer players as shown in the doctest.)
#
import unicodedata
import string
import re
def preprocess_names(name, output_sep=' ', firstname_output_letters=1):
"""
Function that outputs a person's name in the format
<last_name><separator><firstname letter(s)> (all lowercase)
>>> preprocess_names("Samuel Eto'o")
'etoo s'
>>> preprocess_names("Eto'o, Samuel")
'etoo s'
>>> preprocess_names("Eto'o,Samuel")
'etoo s'
>>> preprocess_names('Xavi')
'xavi'
>>> preprocess_names('Yaya Touré')
'toure y'
>>> preprocess_names('José Ángel Pozo')
'pozo j'
>>> preprocess_names('Pozo, José Ángel')
'pozo j'
>>> preprocess_names('Pozo, José Ángel', firstname_output_letters=2)
'pozo jo'
>>> preprocess_names("Eto'o, Samuel", firstname_output_letters=2)
'etoo sa'
>>> preprocess_names("Eto'o, Samuel", firstname_output_letters=0)
'etoo'
>>> preprocess_names("Eto'o, Samuel", output_sep=', ')
'etoo, s'
"""
# set first and last name positions
last, first = 'last', 'first'
last_pos = -1
if ',' in name:
last, first = first, last
name = name.replace(',', ' ')
last_pos = 1
spl = name.split()
if len(spl) > 2:
name = '%s %s' % (spl[0], spl[last_pos])
# remove accents
name = ''.join(x for x in unicodedata.normalize('NFKD', name) if x in string.ascii_letters+' ')
# get first and last name if applicable
m = re.match('(?P<first>\w+)\W+(?P<last>\w+)', name)
if m:
output = '%s%s%s' % (m.group(last), output_sep, m.group(first)[:firstname_output_letters])
else:
output = name
return output.lower().strip()
if __name__ == "__main__":
import doctest
2014-12-30 21:57:12 +00:00
doctest.testmod()