# Locale ha_NG

## `faker.providers.person`

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

  Bases: `Provider`

  first_name() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name()
        ...
        'Hadiza'
        'Sa’adatu'
        'Sani'
        'Danjuma'
        'Halima'

  first_name_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name_female()
        ...
        'Halima'
        'Safiya'
        'Aisha'
        'Rabi'
        'Ruqayya'

  first_name_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name_male()
        ...
        'Nasiru'
        'Mahmud'
        'Musa'
        'Yusuf'
        'Danjuma'

  first_name_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name_nonbinary()
        ...
        'Hadiza'
        'Sa’adatu'
        'Sani'
        'Danjuma'
        'Halima'

  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()
        ...
        'Shehu'
        'Mustapha'
        'Mohammed'
        'Suleiman'
        'Sa’idu'

  last_name_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.last_name_female()
        ...
        'Shehu'
        'Mustapha'
        'Mohammed'
        'Suleiman'
        'Sa’idu'

  last_name_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.last_name_male()
        ...
        'Shehu'
        'Mustapha'
        'Mohammed'
        'Suleiman'
        'Sa’idu'

  last_name_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.last_name_nonbinary()
        ...
        'Shehu'
        'Mustapha'
        'Mohammed'
        'Suleiman'
        'Sa’idu'

  name() → str
    Example:

      ‘John Doe’

    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name()
        ...
        'Sa’adatu Mohammed'
        'Halima Idris'
        'Ahmad Idris'
        'Hafsat Zubairu'
        'Shamsuddeen Danjuma'

  name_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name_female()
        ...
        'Sa’adatu Mohammed'
        'Halima Idris'
        'Ahmad Idris'
        'Hafsat Zubairu'
        'Shamsuddeen Danjuma'

  name_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name_male()
        ...
        'Sa’adatu Mohammed'
        'Halima Idris'
        'Ahmad Idris'
        'Hafsat Zubairu'
        'Shamsuddeen Danjuma'

  name_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name_nonbinary()
        ...
        'Sa’adatu Mohammed'
        'Halima Idris'
        'Ahmad Idris'
        'Hafsat Zubairu'
        'Shamsuddeen Danjuma'

  prefix() → str
    Examples:

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

  prefix_female() → str
    Examples:

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

  prefix_male() → str
    Examples:

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

  prefix_nonbinary() → str
    Examples:

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