Locale af_ZA

faker2.providers.company

class faker2.providers.company.af_ZA.Provider(generator: Any)

Bases: Provider

bs() → str

Example:

‘integrate extensible convergence’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.bs()
...
'iterate integrated e-markets'
'integrate back-end mindshare'
'synthesize wireless content'
'syndicate synergistic applications'
'productize killer mindshare'

catch_phrase() → str

Example:

‘Robust full-range hub’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.catch_phrase()
...
'Networked well-modulated instruction set'
'Balanced empowering migration'
'Pre-emptive impactful toolset'
'Innovative mission-critical help-desk'
'Reduced didactic middleware'

company() → str

Example:

‘Acme Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company()
...
'Rabie-Van Heerden BK'
'Viljoen Ing'
'Brand-Visagie Edms Bpk'
'De Villiers-Gouws (Edms) Bpk'
'Prinsloo (Edms) Bpk'

company_suffix() → str

Example:

‘Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'BK'
'BK'
'Bpk'
'Edms Bpk'
'Ing'

faker2.providers.person

class faker2.providers.person.af_ZA.Provider(generator: Any)

Bases: Provider

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Jane'
'Jane'
'John'
'Jane'
'Jane'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Magrieta'
'Anelia'
'Katrien'
'Mariette'
'Annamarie'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Servaas'
'Alwyn'
'Nicolaas'
'Waldo'
'Bernardus'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Jane'
'Jane'
'John'
'Jane'
'Jane'

language_name() → str

Generate a random i18n language name (e.g. English).

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.language_name()
...
'Lithuanian'
'Marathi'
'Aymara'
'Indonesian'
'Portuguese'

last_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name()
...
'Taljaard'
'Bester'
'Rabie'
'Van Heerden'
'Brink'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Taljaard'
'Bester'
'Rabie'
'Van Heerden'
'Brink'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Taljaard'
'Bester'
'Rabie'
'Van Heerden'
'Brink'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Taljaard'
'Bester'
'Rabie'
'Van Heerden'
'Brink'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Katrien Van Heerden'
'Maria Viljoen'
'Carla Brand'
'Dr. Louwrens Gouws'
'Eugene Van Rensburg'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Katrien Van Heerden'
'Maria Viljoen'
'Dr. Anette Visagie'
'Petro De Jager'
'Elna Van Staden'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Nicolaas Van Heerden'
'Cornelius Viljoen'
'Dr. Attie Visagie'
'Hendrikus De Jager'
'Helgard Van Staden'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Katrien Van Heerden'
'Maria Viljoen'
'Carla Brand'
'Dr. Louwrens Gouws'
'Eugene Van Rensburg'

prefix() → str

Examples:

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

prefix_female() → str

Examples:

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

prefix_male() → str

Examples:

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

prefix_nonbinary() → str

Examples:

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

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