# Locale tw_GH

## `faker.providers.person`

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

  Bases: `Provider`

  first_name() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name()
        ...
        'Karen'
        'Mary'
        'Colins'
        'Akos'
        'Wendy'

  first_name_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name_female()
        ...
        'Nicola'
        'Rebecca'
        'Alice'
        'Joyce'
        'Tracy'

  first_name_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name_male()
        ...
        'Ronald'
        'Akwasi'
        'Nigel'
        'Simon'
        'James'

  first_name_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name_nonbinary()
        ...
        'Karen'
        'Mary'
        'Colins'
        'Akos'
        'Wendy'

  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()
        ...
        'Boaten'
        'Frimpomaa'
        'Amo'
        'Agyare'
        'Owusuwaa'

  last_name_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.last_name_female()
        ...
        'Fosua'
        'Koomson'
        'Adwubi'
        'Ata'
        'Nyame'

  last_name_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.last_name_male()
        ...
        'Twumasi'
        'Boadi'
        'Otiwa'
        'Yeboah'
        'Boaten'

  last_name_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.last_name_nonbinary()
        ...
        'Boaten'
        'Frimpomaa'
        'Amo'
        'Agyare'
        'Owusuwaa'

  name() → str
    Example:

      ‘John Doe’

    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name()
        ...
        'Awura Rebecca Adwubi'
        'Vincent Fosu-Duah'
        'Lisa Nkansah'
        'Irene Nyaakoaa'
        'Fiifi Akyeampong'

  name_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name_female()
        ...
        'Awura Rebecca Adwubi'
        'Vincent Fosu-Duah'
        'Lisa Nkansah'
        'Irene Nyaakoaa'
        'Fiifi Akyeampong'

  name_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name_male()
        ...
        'Awura Rebecca Adwubi'
        'Vincent Fosu-Duah'
        'Lisa Nkansah'
        'Irene Nyaakoaa'
        'Fiifi Akyeampong'

  name_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name_nonbinary()
        ...
        'Awura Rebecca Adwubi'
        'Vincent Fosu-Duah'
        'Lisa Nkansah'
        'Irene Nyaakoaa'
        'Fiifi Akyeampong'

  prefix() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.prefix()
        ...
        'Awura'
        'Agya'
        'Awura'
        'Sista'
        'Dr.'

  prefix_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.prefix_female()
        ...
        'Awura'
        'Awura'
        'Mrs.'
        'Mama'
        'Osofo Maame'

  prefix_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.prefix_male()
        ...
        'Owura'
        'Owura'
        'Mr.'
        'Agya'
        'Osofo'

  prefix_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.prefix_nonbinary()
        ...
        'Awura'
        'Agya'
        'Awura'
        'Sista'
        'Dr.'

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

## `faker.providers.phone_number`

class faker.providers.phone_number.tw_GH.Provider(generator: Any)

  Bases: `Provider`

  country_calling_code() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.country_calling_code()
        ...
        '+687'
        '+595'
        '+880'
        '+964'
        '+41'

  msisdn() → str

    https://en.wikipedia.org/wiki/MSISDN

    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.msisdn()
        ...
        '6048764759382'
        '2194892411578'
        '5659387784080'
        '6097535139332'
        '1158714841858'

  phone_number() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.phone_number()
        ...
        '0556048764'
        '0205938242'
        '+233249489241'
        '+233555781565'
        '0283877840'