This package uses the underlying data from the program "gender" by Jorg Michael (described here). Its use is pretty straightforward:
>>> import gender_guesser.detector as gender >>> d = gender.Detector() >>> print(d.get_gender(u"Bob")) male >>> print(d.get_gender(u"Sally")) female >>> print(d.get_gender(u"Pauley")) # should be androgynous andy
The result will be one of
unknown (name not found),
mostly_female. The difference between
unknown is that the former is found to have the same probability to be male than to be female, while the later means that the name wasn't found in the database.
I18N is fully supported:
>>> print(d.get_gender(u"\xc1lfr\xfan")) # u"Álfrún" female
Additionally, you can give preference to specific countries:
>>> print(d.get_gender(u"Jamie")) mostly_female >>> print(d.get_gender(u"Jamie", u'great_britain')) mostly_male
Additionally, you can create a detector that is not case sensitive (default is to be case sensitive):
>>> d = gender.Detector(case_sensitive=False) >>> print(d.get_gender(u"sally")) female >>> print(d.get_gender(u"Sally")) female
Try to avoid creating many Detectors, as each creation means reading the data file.
The generator code is distributed under the GPLv3. The data file nam_dict.txt is released under the GNU Free Documentation License.
- Fix bug where spaces in composite names were shadowing other names
unknown_valueinit option, since it can be implemented very easily with a wrapper if needed.
unknownwhen name is not found and
andywhen it is valid equally for both male and female.
- Test README examples as doctests.
- Fix incorrect country-wise gender detection for non-iso886-15 names coming from line length change after data file conversion to UTF-8. See #gh2. Thanks @miquelcamprodon.
- Wire in
toxto test in both Python 2 and Python 3.
- Python 2 and 3 compatiblity.
- Remove obsolete character mapper code.
For previous versions, see sexmachine.
This is a fork of the
SexMachine package by Ferhat Elmas. It was created to be able to publish a Python 3 compatible version to PyPI and to be able add some more improvements without bugging the original author.