faker.providers.person
¶
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class
faker.providers.person.
Provider
(generator: Any)¶ Bases:
faker.providers.BaseProvider
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first_name
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.first_name() ... 'Megan' 'Katherine' 'Robert' 'Jonathan' 'William'
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first_name_female
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.first_name_female() ... 'Sarah' 'Norma' 'Jennifer' 'Deanna' 'Kayla'
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first_name_male
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.first_name_male() ... 'Ryan' 'Peter' 'Jason' 'David' 'Jorge'
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first_name_nonbinary
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.first_name_nonbinary() ... 'Megan' 'Katherine' 'Robert' 'Jonathan' 'William'
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language_name
() → str¶ Generate a random i18n language name (e.g. English).
Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.language_name() ... 'Luba-Katanga' 'Malay' 'Aymara' 'Interlingue' 'Quechua'
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last_name
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.last_name() ... 'Richard' 'Chang' 'Fisher' 'Green' 'Dixon'
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last_name_female
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.last_name_female() ... 'Richard' 'Chang' 'Fisher' 'Green' 'Dixon'
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last_name_male
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.last_name_male() ... 'Richard' 'Chang' 'Fisher' 'Green' 'Dixon'
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last_name_nonbinary
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.last_name_nonbinary() ... 'Richard' 'Chang' 'Fisher' 'Green' 'Dixon'
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name
() → str¶ :example ‘John Doe’
Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.name() ... 'Norma Fisher' 'Jorge Sullivan' 'Elizabeth Woods' 'Susan Wagner' 'Peter Montgomery'
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name_female
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.name_female() ... 'Norma Fisher' 'Kayla Sullivan' 'Elizabeth Woods' 'Susan Wagner' 'Nicole Montgomery'
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name_male
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.name_male() ... 'Peter Fisher' 'Jorge Sullivan' 'Eric Woods' 'Terry Wagner' 'Peter Montgomery'
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name_nonbinary
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.name_nonbinary() ... 'Katherine Fisher' 'William Sullivan' 'Kevin Woods' 'Rebecca Wagner' 'Katelyn Montgomery'
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prefix
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.prefix() ... 'Mx.' 'Mx.' 'Mrs.' 'Mr.' 'Mrs.'
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prefix_female
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.prefix_female() ... 'Dr.' 'Dr.' 'Mrs.' 'Mrs.' 'Ms.'
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prefix_male
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.prefix_male() ... 'Dr.' 'Dr.' 'Mr.' 'Mr.' 'Mr.'
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prefix_nonbinary
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.prefix_nonbinary() ... 'Dr.' 'Dr.' 'Mx.' 'Mx.' 'Ind.'
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suffix
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.suffix() ... 'PhD' 'DDS' 'MD' 'III' 'MD'
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suffix_female
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.suffix_female() ... 'DVM' 'PhD' 'MD' 'MD' 'DDS'
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suffix_male
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.suffix_male() ... 'PhD' 'DDS' 'MD' 'III' 'MD'
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suffix_nonbinary
() → str¶ Examples: >>> Faker.seed(0) >>> for _ in range(5): ... fake.suffix_nonbinary() ... 'PhD' 'DDS' 'MD' 'III' 'MD'
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