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