Locale en_TH

faker.providers.person

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

Bases: faker.providers.person.Provider

first_name(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Sitiwat'
'Anon'
'Sarunporn'
'Todsawun'
'Parin'
first_name_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_as_list()
...
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
first_name_female(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Sitiwat'
'Anon'
'Sarunporn'
'Todsawun'
'Parin'
first_name_female_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female_as_list()
...
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
first_name_male(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Sitiwat'
'Anon'
'Sarunporn'
'Todsawun'
'Parin'
first_name_male_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male_as_list()
...
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
first_name_nonbinary(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Sitiwat'
'Anon'
'Sarunporn'
'Todsawun'
'Parin'
first_name_nonbinary_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary_as_list()
...
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
language_name(min_length: Optional[int] = None, max_length: Optional[int] = None) → 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(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name()
...
'Suraprachit'
'Wannapaitoonsri'
'Sukhenai'
'Todsapornpitakul'
'Krittayanukoon'
last_name_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_as_list()
...
('Prachayaroch', 'Prachayaroch', 'Kamalanon', 'Tianvarich', 'Bunlerngsri', 'Sukhenai', 'Posalee', 'Chaisatit', 'Sujjaboriboon', 'Kamalanon', 'Neerachapong', 'Pianduangsri', 'Pasuk', 'Losatapornpipit', 'Suraprasert', 'Matinawin', 'Choeychuen', 'Wasunun', 'Kumsoontorn', 'Sireelert', 'Boonpungbaramee', 'Sorattanachai', 'Benchapatranon', 'Intaum', 'Pikatsingkorn', 'Srisoontorn', 'Polpo', 'Kongchayasukawut', 'Charoensuksopol', 'Bunlupong', 'Chomsri', 'Tungkasethakul', 'Chowitunkit', 'Todsapornpitakul', 'Wimolnot', 'Kittakun', 'Methavorakul', 'Pitanuwat', 'Phusilarungrueng', 'Turongkinanon', 'Kitprapa', 'Pothanun', 'Youprasert', 'Methavorakul', 'Vethayasas', 'Sooksawang', 'Anekvorakul', 'Pichpandecha', 'Sittisaowapak', 'Suraprachit', 'Kongsri', 'Trikasemmart', 'Habpanom', 'Wannapaitoonsri', 'Vinyuvanichkul', 'Pongpanitch', 'Permchart', 'Chaihirankarn', 'Thantananont', 'Norramon', 'Prayoonhong', 'Lertsattayanusak', 'Polauaypon', 'Prakalpawong', 'Titipatrayunyong', 'Krittayanukoon', 'Siripaiboo')
('Prachayaroch', 'Prachayaroch', 'Kamalanon', 'Tianvarich', 'Bunlerngsri', 'Sukhenai', 'Posalee', 'Chaisatit', 'Sujjaboriboon', 'Kamalanon', 'Neerachapong', 'Pianduangsri', 'Pasuk', 'Losatapornpipit', 'Suraprasert', 'Matinawin', 'Choeychuen', 'Wasunun', 'Kumsoontorn', 'Sireelert', 'Boonpungbaramee', 'Sorattanachai', 'Benchapatranon', 'Intaum', 'Pikatsingkorn', 'Srisoontorn', 'Polpo', 'Kongchayasukawut', 'Charoensuksopol', 'Bunlupong', 'Chomsri', 'Tungkasethakul', 'Chowitunkit', 'Todsapornpitakul', 'Wimolnot', 'Kittakun', 'Methavorakul', 'Pitanuwat', 'Phusilarungrueng', 'Turongkinanon', 'Kitprapa', 'Pothanun', 'Youprasert', 'Methavorakul', 'Vethayasas', 'Sooksawang', 'Anekvorakul', 'Pichpandecha', 'Sittisaowapak', 'Suraprachit', 'Kongsri', 'Trikasemmart', 'Habpanom', 'Wannapaitoonsri', 'Vinyuvanichkul', 'Pongpanitch', 'Permchart', 'Chaihirankarn', 'Thantananont', 'Norramon', 'Prayoonhong', 'Lertsattayanusak', 'Polauaypon', 'Prakalpawong', 'Titipatrayunyong', 'Krittayanukoon', 'Siripaiboo')
('Prachayaroch', 'Prachayaroch', 'Kamalanon', 'Tianvarich', 'Bunlerngsri', 'Sukhenai', 'Posalee', 'Chaisatit', 'Sujjaboriboon', 'Kamalanon', 'Neerachapong', 'Pianduangsri', 'Pasuk', 'Losatapornpipit', 'Suraprasert', 'Matinawin', 'Choeychuen', 'Wasunun', 'Kumsoontorn', 'Sireelert', 'Boonpungbaramee', 'Sorattanachai', 'Benchapatranon', 'Intaum', 'Pikatsingkorn', 'Srisoontorn', 'Polpo', 'Kongchayasukawut', 'Charoensuksopol', 'Bunlupong', 'Chomsri', 'Tungkasethakul', 'Chowitunkit', 'Todsapornpitakul', 'Wimolnot', 'Kittakun', 'Methavorakul', 'Pitanuwat', 'Phusilarungrueng', 'Turongkinanon', 'Kitprapa', 'Pothanun', 'Youprasert', 'Methavorakul', 'Vethayasas', 'Sooksawang', 'Anekvorakul', 'Pichpandecha', 'Sittisaowapak', 'Suraprachit', 'Kongsri', 'Trikasemmart', 'Habpanom', 'Wannapaitoonsri', 'Vinyuvanichkul', 'Pongpanitch', 'Permchart', 'Chaihirankarn', 'Thantananont', 'Norramon', 'Prayoonhong', 'Lertsattayanusak', 'Polauaypon', 'Prakalpawong', 'Titipatrayunyong', 'Krittayanukoon', 'Siripaiboo')
('Prachayaroch', 'Prachayaroch', 'Kamalanon', 'Tianvarich', 'Bunlerngsri', 'Sukhenai', 'Posalee', 'Chaisatit', 'Sujjaboriboon', 'Kamalanon', 'Neerachapong', 'Pianduangsri', 'Pasuk', 'Losatapornpipit', 'Suraprasert', 'Matinawin', 'Choeychuen', 'Wasunun', 'Kumsoontorn', 'Sireelert', 'Boonpungbaramee', 'Sorattanachai', 'Benchapatranon', 'Intaum', 'Pikatsingkorn', 'Srisoontorn', 'Polpo', 'Kongchayasukawut', 'Charoensuksopol', 'Bunlupong', 'Chomsri', 'Tungkasethakul', 'Chowitunkit', 'Todsapornpitakul', 'Wimolnot', 'Kittakun', 'Methavorakul', 'Pitanuwat', 'Phusilarungrueng', 'Turongkinanon', 'Kitprapa', 'Pothanun', 'Youprasert', 'Methavorakul', 'Vethayasas', 'Sooksawang', 'Anekvorakul', 'Pichpandecha', 'Sittisaowapak', 'Suraprachit', 'Kongsri', 'Trikasemmart', 'Habpanom', 'Wannapaitoonsri', 'Vinyuvanichkul', 'Pongpanitch', 'Permchart', 'Chaihirankarn', 'Thantananont', 'Norramon', 'Prayoonhong', 'Lertsattayanusak', 'Polauaypon', 'Prakalpawong', 'Titipatrayunyong', 'Krittayanukoon', 'Siripaiboo')
('Prachayaroch', 'Prachayaroch', 'Kamalanon', 'Tianvarich', 'Bunlerngsri', 'Sukhenai', 'Posalee', 'Chaisatit', 'Sujjaboriboon', 'Kamalanon', 'Neerachapong', 'Pianduangsri', 'Pasuk', 'Losatapornpipit', 'Suraprasert', 'Matinawin', 'Choeychuen', 'Wasunun', 'Kumsoontorn', 'Sireelert', 'Boonpungbaramee', 'Sorattanachai', 'Benchapatranon', 'Intaum', 'Pikatsingkorn', 'Srisoontorn', 'Polpo', 'Kongchayasukawut', 'Charoensuksopol', 'Bunlupong', 'Chomsri', 'Tungkasethakul', 'Chowitunkit', 'Todsapornpitakul', 'Wimolnot', 'Kittakun', 'Methavorakul', 'Pitanuwat', 'Phusilarungrueng', 'Turongkinanon', 'Kitprapa', 'Pothanun', 'Youprasert', 'Methavorakul', 'Vethayasas', 'Sooksawang', 'Anekvorakul', 'Pichpandecha', 'Sittisaowapak', 'Suraprachit', 'Kongsri', 'Trikasemmart', 'Habpanom', 'Wannapaitoonsri', 'Vinyuvanichkul', 'Pongpanitch', 'Permchart', 'Chaihirankarn', 'Thantananont', 'Norramon', 'Prayoonhong', 'Lertsattayanusak', 'Polauaypon', 'Prakalpawong', 'Titipatrayunyong', 'Krittayanukoon', 'Siripaiboo')
last_name_female(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Suraprachit'
'Wannapaitoonsri'
'Sukhenai'
'Todsapornpitakul'
'Krittayanukoon'
last_name_female_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female_as_list()
...
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
last_name_male(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Suraprachit'
'Wannapaitoonsri'
'Sukhenai'
'Todsapornpitakul'
'Krittayanukoon'
last_name_male_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male_as_list()
...
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
last_name_nonbinary(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Suraprachit'
'Wannapaitoonsri'
'Sukhenai'
'Todsapornpitakul'
'Krittayanukoon'
last_name_nonbinary_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary_as_list()
...
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
('Pornchanok', 'Patchaploy', 'Peem', 'Kodchaporn', 'Pattapon', 'Sarunporn', 'Jinjuta', 'Sorawut', 'Suvakit', 'Prima', 'Darin', 'Pintusorn', 'Kulnun', 'Nutcha', 'Nutkrita', 'Sittikorn', 'Wasin', 'Apisara', 'Nattawun', 'Tunradee', 'Niracha', 'Tunchanok', 'Kamolchanok', 'Jaruwan', 'Pachongruk', 'Pakjira', 'Pattatomporn', 'Suwijuk', 'Noppakao', 'Ratchanon', 'Atit', 'Kunaporn', 'Arisara', 'Todsawun', 'Chaiwut', 'Puntira', 'Supasita', 'Patcharaporn', 'Phubes', 'Pattamon', 'Chanya', 'Pannawich', 'Chawin', 'Pada', 'Chanikan', 'Nutwadee', 'Chalisa', 'Prames', 'Supasit', 'Sitiwat', 'Teetat', 'Yada', 'Phenphitcha', 'Anon', 'Chaifah', 'Pawan', 'Aunyaporn', 'Yanisa', 'Pak', 'Chayanin', 'Chayapat', 'Jitrin', 'Wassaya', 'Pitipat', 'Nichakarn', 'Parin', 'Thanatcha')
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(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
'R ADM'
'CPO 3'
'S M 2'
'M R'
'POL MAJ GEN'
prefix_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_as_list()
...
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN', 'GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN', 'GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN', 'GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN', 'GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN', 'GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
prefix_female(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
'POL LT GEN'
'POL MAJ'
'MAJ'
'AM'
'REV'
prefix_female_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female_as_list()
...
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
prefix_male(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
'POL LT GEN'
'POL MAJ'
'MAJ'
'AM'
'M L'
prefix_male_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male_as_list()
...
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN')
prefix_nonbinary(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
'R ADM'
'CPO 3'
'S M 2'
'M R'
'POL MAJ GEN'
prefix_nonbinary_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary_as_list()
...
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN', 'GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN', 'GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN', 'GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN', 'GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
('GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MR', 'REV', 'M L', 'M R', 'SAMANERA', 'PHRA', 'PHRA ATHIKAN', 'CHAO ATHIKAN', 'PHRAPALAD', 'PHRASAMU', 'PHRABAIDIKA', 'PHRAKHU PALAD', 'PHRAKHU SAMU', 'PHRAKHU BAIDIKA', 'PHRAMAHA', 'PHRAKHU DHAMMADHORN', 'PHRAKHU VINAIDHORN', 'GEN', 'LT GEN', 'MAJ GEN', 'COL', 'LT COL', 'MAJ', 'CAPT', 'LT', 'SUB LT', 'S M 1', 'S M 2', 'S M 3', 'SGT', 'CPL', 'PFC', 'PVT', 'ADM', 'V ADM', 'R ADM', 'CAPT', 'CDR', 'L CDR', 'LT', 'LT JG', 'SUB LT', 'CPO 1', 'CPO 2', 'CPO 3', 'PO 1', 'PO 2', 'PO 3', 'SEA-MAN', 'ACM', 'AM', 'AVM', 'GP CAPT', 'WG CDR', 'SQN LDR', 'FLT LT', 'FLG OFF', 'PLT OFF', 'FS 1', 'FS 2', 'FS 3', 'SGT', 'CPL', 'LAC', 'AMN', 'POL GEN', 'POL LT GEN', 'POL MAJ GEN', 'POL COL', 'POL LT COL', 'POL MAJ', 'POL CAPT', 'POL LT', 'POL SUB LT', 'POL SEN SGT MAJ', 'POL SGT MAJ', 'POL SGT', 'POL CPL', 'POL L/C', 'POL CONST', 'MRS', 'MISS', 'REV', 'M L')
suffix(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix()
...
''
''
''
''
''
suffix_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_as_list()
...
()
()
()
()
()
suffix_female(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_female()
...
''
''
''
''
''
suffix_female_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_female_as_list()
...
()
()
()
()
()
suffix_male(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_male()
...
''
''
''
''
''
suffix_male_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_male_as_list()
...
()
()
()
()
()
suffix_nonbinary(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_nonbinary()
...
''
''
''
''
''
suffix_nonbinary_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_nonbinary_as_list()
...
()
()
()
()
()