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