Locale ig_NG

faker.providers.person

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

Bases: Provider

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Amarachi'
'Chinelo'
'Ifeanyi'
'Chigozie'
'Chidimma'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Chidimma'
'Nkiruka'
'Chiamaka'
'Nneka'
'Chinyere'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Chukwuemeka'
'Somtochukwu'
'Obinna'
'Ekene'
'Chigozie'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Amarachi'
'Chinelo'
'Ifeanyi'
'Chigozie'
'Chidimma'

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()
...
'Udeh'
'Ihejirika'
'Eze'
'Iwu'
'Ezeugo'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Udeh'
'Ihejirika'
'Eze'
'Iwu'
'Ezeugo'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Udeh'
'Ihejirika'
'Eze'
'Iwu'
'Ezeugo'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Udeh'
'Ihejirika'
'Eze'
'Iwu'
'Ezeugo'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Chinelo Eze'
'Chidimma Njoku'
'Chijioke Njoku'
'Kosisochukwu Onoh'
'Kelechi Okeke'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Chinelo Eze'
'Chidimma Njoku'
'Chijioke Njoku'
'Kosisochukwu Onoh'
'Kelechi Okeke'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Chinelo Eze'
'Chidimma Njoku'
'Chijioke Njoku'
'Kosisochukwu Onoh'
'Kelechi Okeke'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Chinelo Eze'
'Chidimma Njoku'
'Chijioke Njoku'
'Kosisochukwu Onoh'
'Kelechi Okeke'

prefix() → str

Examples:

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

prefix_female() → str

Examples:

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

prefix_male() → str

Examples:

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

prefix_nonbinary() → str

Examples:

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