Locale fr_BE

faker.providers.person

class faker.providers.person.fr_BE.Provider(generator: Any)

Bases: faker.providers.person.Provider

Provider of Person data (male and female first and last names) for locale ‘fr_BE’ (Belgium French, Walloon).

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Marine'
'Katty'
'Quentin'
'Joseph'
'Yves'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Perrine'
'Mélanie'
'Irina'
'Célia'
'Kenza'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Robin'
'Pascal'
'Jason'
'Emmanuel'
'Jules'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Marine'
'Katty'
'Quentin'
'Joseph'
'Yves'

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'

last_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name()
...
'Piérard'
'Mouton'
'Goossens'
'Devaux'
'Joly'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Piérard'
'Mouton'
'Goossens'
'Devaux'
'Joly'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Piérard'
'Mouton'
'Goossens'
'Devaux'
'Joly'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Piérard'
'Mouton'
'Goossens'
'Devaux'
'Joly'

name() → str

Example:‘John Doe’ Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Mélanie Goossens'
'Jules Gobert'
'Elisabeth Huart'
'Sophie Jamar'
'Pascal Lemoine'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Mélanie Goossens'
'Kenza Gobert'
'Elisabeth Huart'
'Sophie Jamar'
'Mégane Lemoine'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Pascal Goossens'
'Jules Gobert'
'Francesco Huart'
'Sébastien Jamar'
'Pascal Lemoine'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Mélanie Goossens'
'Jules Gobert'
'Elisabeth Huart'
'Sophie Jamar'
'Pascal Lemoine'

prefix() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
''
''
''
''
''

prefix_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
''
''
''
''
''

prefix_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
''
''
''
''
''

prefix_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
''
''
''
''
''

suffix() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix()
...
''
''
''
''
''

suffix_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_female()
...
''
''
''
''
''

suffix_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_male()
...
''
''
''
''
''

suffix_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_nonbinary()
...
''
''
''
''
''