Locale fr_QC

faker.providers.person

class faker.providers.person.fr_QC.Provider(*args: Any, **kwargs: Any)

Bases: Provider

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Céline'
'Claude'
'Charles'
'Roland'
'Henriette'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Virginie'
'Geneviève'
'Rosalie'
'Isabelle'
'Anaïs'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Maurice'
'Noël'
'Arthur'
'Jean'
'Roger'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Céline'
'Claude'
'Charles'
'Roland'
'Henriette'

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()
...
'Brisson'
'Jean'
'Plourde'
'Germain'
'Moreau'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Brisson'
'Jean'
'Plourde'
'Germain'
'Moreau'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Brisson'
'Jean'
'Plourde'
'Germain'
'Moreau'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Brisson'
'Jean'
'Plourde'
'Germain'
'Moreau'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Rosalie Germain'
'Anaïs Ménard'
'Henriette-Sophie Maltais'
'Juliette Boivin'
'Robert Martel-Champagne'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Rosalie Germain-Moreau'
'Denise Duguay'
'Henriette-Sophie Maltais'
'Juliette Boivin'
'Laurence Martel'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Noël Ouellet-Ménard'
'Nathan-Julien Duguay'
'Maxime-Victor Larivière'
'Robert Martel'
'Éric St-Jean'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Rosalie Germain'
'Anaïs Ménard'
'Henriette-Sophie Maltais'
'Juliette Boivin'
'Robert Martel-Champagne'

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()
...
''
''
''
''
''