# Locale en_TH

## `faker.providers.person`

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

  Bases: `Provider`

  first_name() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name()
        ...
        'Sitiwat'
        'Anon'
        'Sarunporn'
        'Todsawun'
        'Parin'

  first_name_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name_female()
        ...
        'Sitiwat'
        'Anon'
        'Sarunporn'
        'Todsawun'
        'Parin'

  first_name_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name_male()
        ...
        'Sitiwat'
        'Anon'
        'Sarunporn'
        'Todsawun'
        'Parin'

  first_name_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.first_name_nonbinary()
        ...
        'Sitiwat'
        'Anon'
        'Sarunporn'
        'Todsawun'
        'Parin'

  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()
        ...
        'Suraprachit'
        'Wannapaitoonsri'
        'Sukhenai'
        'Todsapornpitakul'
        'Krittayanukoon'

  last_name_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.last_name_female()
        ...
        'Suraprachit'
        'Wannapaitoonsri'
        'Sukhenai'
        'Todsapornpitakul'
        'Krittayanukoon'

  last_name_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.last_name_male()
        ...
        'Suraprachit'
        'Wannapaitoonsri'
        'Sukhenai'
        'Todsapornpitakul'
        'Krittayanukoon'

  last_name_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.last_name_nonbinary()
        ...
        'Suraprachit'
        'Wannapaitoonsri'
        'Sukhenai'
        'Todsapornpitakul'
        'Krittayanukoon'

  name() → str
    Example:

      ‘John Doe’

    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name()
        ...
        'R ADM Anon Sukhenai'
        'Parin Polauaypon'
        'Phubes Lertsattayanusak'
        'Suwijuk Titipatrayunyong'
        'Supasita Wasunun'

  name_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name_female()
        ...
        'R ADM Anon Sukhenai'
        'Parin Polauaypon'
        'Phubes Lertsattayanusak'
        'Suwijuk Titipatrayunyong'
        'Supasita Wasunun'

  name_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name_male()
        ...
        'R ADM Anon Sukhenai'
        'Parin Polauaypon'
        'Phubes Lertsattayanusak'
        'Suwijuk Titipatrayunyong'
        'Supasita Wasunun'

  name_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.name_nonbinary()
        ...
        'R ADM Anon Sukhenai'
        'Parin Polauaypon'
        'Phubes Lertsattayanusak'
        'Suwijuk Titipatrayunyong'
        'Supasita Wasunun'

  prefix() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.prefix()
        ...
        'R ADM'
        'CPO 3'
        'S M 2'
        'M R'
        'POL MAJ GEN'

  prefix_female() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.prefix_female()
        ...
        'POL LT GEN'
        'POL MAJ'
        'MAJ'
        'AM'
        'REV'

  prefix_male() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.prefix_male()
        ...
        'POL LT GEN'
        'POL MAJ'
        'MAJ'
        'AM'
        'M L'

  prefix_nonbinary() → str
    Examples:

        >>> Faker.seed(0)
        >>> for _ in range(5):
        ...     fake.prefix_nonbinary()
        ...
        'R ADM'
        'CPO 3'
        'S M 2'
        'M R'
        'POL MAJ GEN'

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