Locale ko_KR

faker.providers.address

class faker.providers.address.ko_KR.Provider(generator: Any)

Bases: faker.providers.address.Provider

Korea has two address and postal code system.

Address:
  • Address based on land parcel numbers (지번 주소, OLD, but someone use consistently)
  • Address based on road names and building numbers (도로명 주소, NEW)

land_address() generate Address based on land parcel numbers and road_address() generate Address based on road names and building numbers.

Postal code:
  • Old postal code (6-digit, OLD and dead)
  • New postal code (5-digit, New)

old_postal_code() and postcode() generate old 6-digit code and postal_code() generate newer 5-digit code.

Reference:
address() → str
Example:‘791 Crist Parks, Sashabury, IL 86039-9874’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.address()
...
'경상북도 성남시 서초대64가 (서윤백박면)'
'강원도 부여군 잠실924로'
'대전광역시 강서구 영동대가'
'인천광역시 금천구 반포대408로 (예지이동)'
'전라남도 남양주시 학동9길 (은주김마을)'
address_detail() → str
Example:가나아파트 가동 102호
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.address_detail()
...
'준호안이마을 604호'
'우진권타운 938호'
'상철김고연립 892호'
'정수윤김타운 815호'
'은주최빌라 784호'
administrative_unit(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:경기도
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.administrative_unit()
...
'경상북도'
'경상북도'
'경기도'
'전라북도'
'제주특별자치도'
borough(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:중구
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.borough()
...
'남구'
'서대문구'
'강동구'
'북구'
'마포구'
building_dong() → str
Example:
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.building_dong()
...
'Q'
'S'
'다'
'I'
'Y'
building_name() → str
Example:김구아파트
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.building_name()
...
'유진이김타운'
'준호안이마을'
'서윤백박연립'
'유진강연립'
'정남서타워'
building_number() → str
Example:‘791’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.building_number()
...
'60'
'87'
'47'
'93'
'42'
building_suffix(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:아파트
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.building_suffix()
...
'마을'
'마을'
'빌라'
'연립'
'타운'
city() → str
Example:고양시
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.city()
...
'의정부시'
'음성군'
'강릉시'
'성남시'
'시흥시'
city_suffix(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:‘town’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.city_suffix()
...
'시'
'시'
'시'
'시'
'시'
country(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.country()
...
'슬로베니아'
'아일랜드'
'나우루'
'벨기에'
'우크라이나'
country_code(representation: str = 'alpha-2') → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.country_code()
...
'MV'
'PS'
'NL'
'BB'
'IL'
current_country() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.current_country()
...
'South Korea'
'South Korea'
'South Korea'
'South Korea'
'South Korea'
current_country_code() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.current_country_code()
...
'KR'
'KR'
'KR'
'KR'
'KR'
land_address() → str
Example:세종특별자치시 어진동 507
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.land_address()
...
'경상북도 성남시 현숙박허면 593-8'
'광주광역시 광진구 수빈김마을 924-11'
'경상남도 공주시 정훈이읍 778-40'
'부산광역시 송파구 예원안강마을 535-1'
'인천광역시 성북구 은주박동 871-4'
land_number() → str
Example:507
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.land_number()
...
'604-8'
'647-5'
'382-42'
'948'
'924-11'
metropolitan_city(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:서울특별시
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.metropolitan_city()
...
'울산광역시'
'울산광역시'
'서울특별시'
'광주광역시'
'세종특별자치시'
old_postal_code() → str
Example:123-456
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.old_postal_code()
...
'604-876'
'759-382'
'219-489'
'411-578'
'565-938'
postal_code() → str
Example:12345
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.postal_code()
...
'60487'
'47593'
'42194'
'41157'
'56593'
postcode() → str
Example:12345
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.postcode()
...
'60487'
'47593'
'42194'
'41157'
'56593'
province(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:경기도
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.province()
...
'경상북도'
'경상북도'
'경기도'
'전라북도'
'제주특별자치도'
road() → str
Example:도움5로
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.road()
...
'선릉4가'
'양재천59길'
'양재천길'
'백제고분거리'
'양재천로'
road_address() → str
Example:세종특별자치시 도움5로 19 (어진동)
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.road_address()
...
'경상북도 성남시 서초대64가 (서윤백박면)'
'강원도 부여군 잠실924로'
'대전광역시 강서구 영동대가'
'인천광역시 금천구 반포대408로 (예지이동)'
'전라남도 남양주시 학동9길 (은주김마을)'
road_name(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:압구정
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.road_name()
...
'개포'
'선릉'
'도산대'
'강남대'
'서초대'
road_number() → str
Example:24
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.road_number()
...
'60'
'87'
'47'
'93'
'242'
road_suffix(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.road_suffix()
...
'가'
'가'
'로'
'거리'
'가'
street_address() → str
Example:‘791 Crist Parks’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_address()
...
'경상북도 성남시 서초대64가 (서윤백박면)'
'강원도 부여군 잠실924로'
'대전광역시 강서구 영동대가'
'인천광역시 금천구 반포대408로 (예지이동)'
'전라남도 남양주시 학동9길 (은주김마을)'
street_name() → str
Example:‘Crist Parks’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_name()
...
'선릉'
'강남대'
'개포'
'서초중앙'
'석촌호수'
street_suffix(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:‘Avenue’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_suffix()
...
'가'
'가'
'로'
'거리'
'가'
town() → str
Example:가나동
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.town()
...
'유진이김마을'
'준호안이리'
'서윤백박면'
'유진강면'
'정남서면'
town_suffix(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.town_suffix()
...
'리'
'리'
'동'
'면'
'마을'

faker.providers.company

class faker.providers.company.ko_KR.Provider(generator: Any)

Bases: faker.providers.company.Provider

bs() → str
Example:‘integrate extensible convergence’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.bs()
...
'벤치마킹된 플러그 앤 플레이 앱'
'간소화된 고운 방법론'
'신속한 강력한 시스템'
'폭발하는 킬러 생산라인'
'엔지니어 전략적 전자화폐'
catch_phrase() → str
Example:‘Robust full-range hub’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.catch_phrase()
...
'강력한 다음 세대 분석'
'객체 기반의 정적 프로토콜'
'안전한 인간자원 프로젝트'
'재정렬 환경 친화적 소프트웨어'
'강화된 고단계 도전'
company() → str
Example:‘Acme Ltd’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company()
...
'권이김'
'이안이'
'이손김'
'(유) 김'
'(유) 민박한'
company_suffix(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:‘Ltd’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'유한회사'
'유한회사'
'(주)'
'(유)'
'유한회사'

faker.providers.date_time

class faker.providers.date_time.ko_KR.Provider(generator: Any)

Bases: faker.providers.date_time.Provider

am_pm() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.am_pm()
...
'AM'
'AM'
'AM'
'AM'
'AM'
century(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Example:‘XVII’
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.century()
...
'XIII'
'XIV'
'II'
'IX'
'XVII'
date(pattern: str = '%Y-%m-%d', end_datetime: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None) → str

Get a date string between January 1, 1970 and now.

Parameters:pattern – Format of the date (year-month-day by default)
Example:‘2008-11-27’
Returns:Date
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date()
...
'1996-03-20'
'2021-07-31'
'1998-08-15'
'1972-10-03'
'1987-08-15'
date_between(start_date: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int] = '-30y', end_date: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int] = 'today') → datetime.date

Get a Date object based on a random date between two given dates. Accepts date strings that can be recognized by strtotime().

Parameters:
  • start_date – Defaults to 30 years ago
  • end_date – Defaults to “today”
Example:

Date(‘1999-02-02’)

Returns:

Date

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_between()
...
datetime.date(2021, 6, 19)
datetime.date(2005, 11, 3)
datetime.date(2018, 7, 10)
datetime.date(2007, 1, 16)
datetime.date(1994, 2, 10)
date_between_dates(date_start: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None, date_end: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None) → datetime.date

Takes two Date objects and returns a random date between the two given dates. Accepts Date or datetime objects

Parameters:
  • date_start – Date
  • date_end – Date
Returns:

Date

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_between_dates()
...
datetime.date(2022, 9, 26)
datetime.date(2022, 9, 26)
datetime.date(2022, 9, 26)
datetime.date(2022, 9, 26)
datetime.date(2022, 9, 26)
date_object(end_datetime: datetime.datetime = None) → datetime.date

Get a date object between January 1, 1970 and now :example: datetime.date(2016, 9, 20)

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_object()
...
datetime.date(1996, 3, 20)
datetime.date(2021, 7, 31)
datetime.date(1998, 8, 15)
datetime.date(1972, 10, 3)
datetime.date(1987, 8, 15)
date_of_birth(tzinfo: Optional[datetime.tzinfo] = None, minimum_age: int = 0, maximum_age: int = 115) → datetime.date

Generate a random date of birth represented as a Date object, constrained by optional miminimum_age and maximum_age parameters.

Parameters:
  • tzinfo – Defaults to None.
  • minimum_age – Defaults to 0.
  • maximum_age – Defaults to 115.
Example:

Date(‘1979-02-02’)

Returns:

Date

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_of_birth()
...
datetime.date(2021, 8, 29)
datetime.date(1959, 3, 2)
datetime.date(2009, 11, 22)
datetime.date(1963, 12, 22)
datetime.date(1912, 3, 30)
date_this_century(before_today: bool = True, after_today: bool = False) → datetime.date

Gets a Date object for the current century.

Parameters:
  • before_today – include days in current century before today
  • after_today – include days in current century after today
Example:

Date(‘2012-04-04’)

Returns:

Date

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_century()
...
datetime.date(2013, 2, 8)
datetime.date(2014, 4, 23)
datetime.date(2001, 5, 18)
datetime.date(2008, 10, 22)
datetime.date(2017, 5, 24)
date_this_decade(before_today: bool = True, after_today: bool = False) → datetime.date

Gets a Date object for the decade year.

Parameters:
  • before_today – include days in current decade before today
  • after_today – include days in current decade after today
Example:

Date(‘2012-04-04’)

Returns:

Date

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_decade()
...
datetime.date(2021, 8, 21)
datetime.date(2021, 10, 15)
datetime.date(2020, 3, 3)
datetime.date(2021, 2, 6)
datetime.date(2022, 3, 5)
date_this_month(before_today: bool = True, after_today: bool = False) → datetime.date

Gets a Date object for the current month.

Parameters:
  • before_today – include days in current month before today
  • after_today – include days in current month after today
Example:

dtdate(‘2012-04-04’)

Returns:

dtdate

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_month()
...
datetime.date(2022, 9, 19)
datetime.date(2022, 9, 21)
datetime.date(2022, 9, 2)
datetime.date(2022, 9, 13)
datetime.date(2022, 9, 25)
date_this_year(before_today: bool = True, after_today: bool = False) → datetime.date

Gets a Date object for the current year.

Parameters:
  • before_today – include days in current year before today
  • after_today – include days in current year after today
Example:

Date(‘2012-04-04’)

Returns:

Date

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_year()
...
datetime.date(2022, 5, 30)
datetime.date(2022, 6, 13)
datetime.date(2022, 1, 16)
datetime.date(2022, 4, 11)
datetime.date(2022, 7, 18)
date_time(tzinfo: Optional[datetime.tzinfo] = None, end_datetime: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None) → datetime.datetime

Get a datetime object for a date between January 1, 1970 and now :param tzinfo: timezone, instance of datetime.tzinfo subclass :example: datetime(‘2005-08-16 20:39:21’) :return: datetime

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time()
...
datetime.datetime(1996, 3, 20, 7, 46, 39)
datetime.datetime(2021, 7, 31, 1, 24, 38)
datetime.datetime(1998, 8, 15, 8, 43, 22)
datetime.datetime(1972, 10, 3, 5, 52, 26)
datetime.datetime(1987, 8, 15, 9, 51, 25)
date_time_ad(tzinfo: Optional[datetime.tzinfo] = None, end_datetime: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None, start_datetime: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None) → datetime.datetime

Get a datetime object for a date between January 1, 001 and now :param tzinfo: timezone, instance of datetime.tzinfo subclass :example: datetime(‘1265-03-22 21:15:52’) :return: datetime

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_ad()
...
datetime.datetime(932, 7, 17, 1, 20, 13)
datetime.datetime(2009, 8, 3, 21, 25)
datetime.datetime(58, 3, 29, 17, 26, 45)
datetime.datetime(1023, 4, 21, 11, 47, 46)
datetime.datetime(1961, 7, 18, 3, 50, 16)
date_time_between(start_date: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int] = '-30y', end_date: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int] = 'now', tzinfo: Optional[datetime.tzinfo] = None) → datetime.datetime

Get a datetime object based on a random date between two given dates. Accepts date strings that can be recognized by strtotime().

Parameters:
  • start_date – Defaults to 30 years ago
  • end_date – Defaults to “now”
  • tzinfo – timezone, instance of datetime.tzinfo subclass
Example:

datetime(‘1999-02-02 11:42:52’)

Returns:

datetime

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_between()
...
datetime.datetime(2021, 6, 20, 13, 35, 47)
datetime.datetime(2005, 11, 5, 2, 51, 27)
datetime.datetime(2018, 7, 11, 23, 40, 27)
datetime.datetime(2007, 1, 18, 3, 19, 49)
datetime.datetime(1994, 2, 11, 13, 54, 21)
date_time_between_dates(datetime_start: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None, datetime_end: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None, tzinfo: Optional[datetime.tzinfo] = None) → datetime.datetime

Takes two datetime objects and returns a random datetime between the two given datetimes. Accepts datetime objects.

Parameters:
  • datetime_start – datetime
  • datetime_end – datetime
  • tzinfo – timezone, instance of datetime.tzinfo subclass
Example:

datetime(‘1999-02-02 11:42:52’)

Returns:

datetime

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_between_dates()
...
datetime.datetime(2022, 9, 26, 15, 46, 8)
datetime.datetime(2022, 9, 26, 15, 46, 8)
datetime.datetime(2022, 9, 26, 15, 46, 8)
datetime.datetime(2022, 9, 26, 15, 46, 8)
datetime.datetime(2022, 9, 26, 15, 46, 8)
date_time_this_century(before_now: bool = True, after_now: bool = False, tzinfo: Optional[datetime.tzinfo] = None) → datetime.datetime

Gets a datetime object for the current century.

Parameters:
  • before_now – include days in current century before today
  • after_now – include days in current century after today
  • tzinfo – timezone, instance of datetime.tzinfo subclass
Example:

datetime(‘2012-04-04 11:02:02’)

Returns:

datetime

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_century()
...
datetime.datetime(2013, 2, 8, 15, 53, 19)
datetime.datetime(2014, 4, 23, 16, 21, 41)
datetime.datetime(2001, 5, 18, 2, 56, 13)
datetime.datetime(2008, 10, 22, 16, 55, 42)
datetime.datetime(2017, 5, 24, 21, 37, 28)
date_time_this_decade(before_now: bool = True, after_now: bool = False, tzinfo: Optional[datetime.tzinfo] = None) → datetime.datetime

Gets a datetime object for the decade year.

Parameters:
  • before_now – include days in current decade before today
  • after_now – include days in current decade after today
  • tzinfo – timezone, instance of datetime.tzinfo subclass
Example:

datetime(‘2012-04-04 11:02:02’)

Returns:

datetime

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_decade()
...
datetime.datetime(2021, 8, 21, 10, 59, 9)
datetime.datetime(2021, 10, 15, 8, 2, 42)
datetime.datetime(2020, 3, 3, 21, 22, 1)
datetime.datetime(2021, 2, 6, 5, 6, 57)
datetime.datetime(2022, 3, 5, 5, 42, 11)
date_time_this_month(before_now: bool = True, after_now: bool = False, tzinfo: Optional[datetime.tzinfo] = None) → datetime.datetime

Gets a datetime object for the current month.

Parameters:
  • before_now – include days in current month before today
  • after_now – include days in current month after today
  • tzinfo – timezone, instance of datetime.tzinfo subclass
Example:

datetime(‘2012-04-04 11:02:02’)

Returns:

datetime

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_month()
...
datetime.datetime(2022, 9, 19, 16, 50, 35)
datetime.datetime(2022, 9, 21, 10, 0, 5)
datetime.datetime(2022, 9, 2, 23, 10, 3)
datetime.datetime(2022, 9, 13, 13, 39, 35)
datetime.datetime(2022, 9, 25, 19, 40, 41)
date_time_this_year(before_now: bool = True, after_now: bool = False, tzinfo: Optional[datetime.tzinfo] = None) → datetime.datetime

Gets a datetime object for the current year.

Parameters:
  • before_now – include days in current year before today
  • after_now – include days in current year after today
  • tzinfo – timezone, instance of datetime.tzinfo subclass
Example:

datetime(‘2012-04-04 11:02:02’)

Returns:

datetime

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_year()
...
datetime.datetime(2022, 5, 30, 14, 44, 47)
datetime.datetime(2022, 6, 13, 8, 0, 40)
datetime.datetime(2022, 1, 16, 17, 20, 30)
datetime.datetime(2022, 4, 11, 13, 16, 44)
datetime.datetime(2022, 7, 18, 13, 25, 32)
day_of_month() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.day_of_month()
...
'20'
'31'
'15'
'03'
'15'
day_of_week() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.day_of_week()
...
'수요일'
'토요일'
'토요일'
'화요일'
'토요일'
future_date(end_date: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int] = '+30d', tzinfo: Optional[datetime.tzinfo] = None) → datetime.date

Get a Date object based on a random date between 1 day from now and a given date. Accepts date strings that can be recognized by strtotime().

Parameters:
  • end_date – Defaults to “+30d”
  • tzinfo – timezone, instance of datetime.tzinfo subclass
Example:

dtdate(‘2030-01-01’)

Returns:

dtdate

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.future_date()
...
datetime.date(2022, 10, 15)
datetime.date(2022, 10, 17)
datetime.date(2022, 9, 28)
datetime.date(2022, 10, 9)
datetime.date(2022, 10, 21)
future_datetime(end_date: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int] = '+30d', tzinfo: Optional[datetime.tzinfo] = None) → datetime.datetime

Get a datetime object based on a random date between 1 second form now and a given date. Accepts date strings that can be recognized by strtotime().

Parameters:
  • end_date – Defaults to “+30d”
  • tzinfo – timezone, instance of datetime.tzinfo subclass
Example:

datetime(‘1999-02-02 11:42:52’)

Returns:

datetime

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.future_datetime()
...
datetime.datetime(2022, 10, 15, 8, 36, 44)
datetime.datetime(2022, 10, 17, 1, 46, 14)
datetime.datetime(2022, 9, 28, 14, 56, 12)
datetime.datetime(2022, 10, 9, 5, 25, 44)
datetime.datetime(2022, 10, 21, 11, 26, 50)
iso8601(tzinfo: Optional[datetime.tzinfo] = None, end_datetime: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None, sep: str = 'T', timespec: str = 'auto') → str

Get a timestamp in ISO 8601 format (or one of its profiles). :param tzinfo: timezone, instance of datetime.tzinfo subclass :param sep: separator between date and time, defaults to ‘T’ :param timespec: format specifier for the time part, defaults to ‘auto’ - see datetime.isoformat() documentation :example: ‘2003-10-21T16:05:52+0000’

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.iso8601()
...
'1996-03-20T07:46:39'
'2021-07-31T01:24:38'
'1998-08-15T08:43:22'
'1972-10-03T05:52:26'
'1987-08-15T09:51:25'
month() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.month()
...
'03'
'07'
'08'
'10'
'08'
month_name() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.month_name()
...
'3월'
'7월'
'8월'
'10월'
'8월'
past_date(start_date: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int] = '-30d', tzinfo: Optional[datetime.tzinfo] = None) → datetime.date

Get a Date object based on a random date between a given date and 1 day ago. Accepts date strings that can be recognized by strtotime().

Parameters:
  • start_date – Defaults to “-30d”
  • tzinfo – timezone, instance of datetime.tzinfo subclass
Example:

dtdate(‘1999-02-02’)

Returns:

dtdate

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.past_date()
...
datetime.date(2022, 9, 14)
datetime.date(2022, 9, 16)
datetime.date(2022, 8, 28)
datetime.date(2022, 9, 8)
datetime.date(2022, 9, 20)
past_datetime(start_date: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int] = '-30d', tzinfo: Optional[datetime.tzinfo] = None) → datetime.datetime

Get a datetime object based on a random date between a given date and 1 second ago. Accepts date strings that can be recognized by strtotime().

Parameters:
  • start_date – Defaults to “-30d”
  • tzinfo – timezone, instance of datetime.tzinfo subclass
Example:

datetime(‘1999-02-02 11:42:52’)

Returns:

datetime

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.past_datetime()
...
datetime.datetime(2022, 9, 15, 8, 36, 43)
datetime.datetime(2022, 9, 17, 1, 46, 13)
datetime.datetime(2022, 8, 29, 14, 56, 11)
datetime.datetime(2022, 9, 9, 5, 25, 43)
datetime.datetime(2022, 9, 21, 11, 26, 49)
pytimezone(*args, **kwargs) → Optional[datetime.tzinfo]

Generate a random timezone (see faker.timezone for any args) and return as a python object usable as a tzinfo to datetime or other fakers.

Example:faker.pytimezone()
Returns:dateutil.tz.tz.tzfile
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.pytimezone()
...
tzfile('/usr/share/zoneinfo/Indian/Maldives')
tzfile('/usr/share/zoneinfo/America/Barbados')
tzfile('/usr/share/zoneinfo/Europe/Stockholm')
tzfile('/usr/share/zoneinfo/Africa/Windhoek')
tzfile('/usr/share/zoneinfo/Asia/Qatar')
time(pattern: str = '%H:%M:%S', end_datetime: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None) → str

Get a time string (24h format by default) :param pattern: format :example: ‘15:02:34’

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time()
...
'07:46:39'
'01:24:38'
'08:43:22'
'05:52:26'
'09:51:25'
time_delta(end_datetime: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None) → datetime.timedelta

Get a timedelta object

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time_delta()
...
datetime.timedelta(0)
datetime.timedelta(0)
datetime.timedelta(0)
datetime.timedelta(0)
datetime.timedelta(0)
time_object(end_datetime: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None) → datetime.time

Get a time object :example: datetime.time(15, 56, 56, 772876)

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time_object()
...
datetime.time(7, 46, 39)
datetime.time(1, 24, 38)
datetime.time(8, 43, 22)
datetime.time(5, 52, 26)
datetime.time(9, 51, 25)
time_series(start_date: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int] = '-30d', end_date: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int] = 'now', precision: Optional[float] = None, distrib: Optional[Callable[[datetime.datetime], float]] = None, tzinfo: Optional[datetime.tzinfo] = None) → Iterator[Tuple[datetime.datetime, Any]]

Returns a generator yielding tuples of (<datetime>, <value>).

The data points will start at start_date, and be at every time interval specified by precision. distrib is a callable that accepts <datetime> and returns <value>

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time_series()
...
<generator object Provider.time_series at 0x7f72b4f87850>
<generator object Provider.time_series at 0x7f72b4f87850>
<generator object Provider.time_series at 0x7f72b4f87850>
<generator object Provider.time_series at 0x7f72b4f87850>
<generator object Provider.time_series at 0x7f72b4f87850>
timezone() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.timezone()
...
'Indian/Maldives'
'America/Barbados'
'Europe/Stockholm'
'Africa/Windhoek'
'Asia/Qatar'
unix_time(end_datetime: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None, start_datetime: Union[datetime.date, datetime.datetime, datetime.timedelta, str, int, None] = None) → int

Get a timestamp between January 1, 1970 and now, unless passed explicit start_datetime or end_datetime values. :example: 1061306726

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.unix_time()
...
827307999
1627694678
903170602
86939546
556019485
year() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.year()
...
'1996'
'2021'
'1998'
'1972'
'1987'

faker.providers.internet

class faker.providers.internet.ko_KR.Provider(generator: Any)

Bases: faker.providers.internet.Provider

ascii_company_email() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_company_email()
...
'agweon@yu.org'
'hyeonjeong59@jusighoesa.org'
'gangyeongceol@yu.com'
'gyeongja15@iyungim.kr'
'hbag@gimheo.com'
ascii_email() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_email()
...
'ggim@dreamwiz.com'
'hyeonjeong59@hanmail.net'
'seongmin19@minbag.net'
'sangceol15@coeii.net'
'hbag@gimheo.com'
ascii_free_email() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_free_email()
...
'agweon@gmail.com'
'hyeonsug76@naver.com'
'ni@hotmail.com'
'seongmin19@naver.com'
'jeongnamseo@nate.com'
ascii_safe_email() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_safe_email()
...
'agweon@example.org'
'hyeonsug76@example.com'
'ni@example.net'
'ujingweon@example.net'
'hyeonji89@example.org'
company_email() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_email()
...
'agweon@yu.org'
'hyeonjeong59@jusighoesa.org'
'gangyeongceol@yu.com'
'gyeongja15@iyungim.kr'
'hbag@gimheo.com'
dga(year: Optional[int] = None, month: Optional[int] = None, day: Optional[int] = None, tld: Optional[str] = None, length: Optional[int] = None) → str

Generates a domain name by given date https://en.wikipedia.org/wiki/Domain_generation_algorithm

Return type:str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.dga()
...
'hxqvaffcmfsccynscisxeajjagjahtnfcmfsccynscisxeajjagjahtnfcmfscc.com'
'meydkrgdcvulautulqvjofrrnbjkfmvrewtpfttqcjafdhxckmyfamo.org'
'rsoitciyjatufbjfquyfvudjerivnsrsprechaalfphoqywwursulakiudm.kr'
'ujkyfemsyj.com'
'yastipdtwjouhjjorvdtvxkkhdirblaoisavobsvdnhimwbflybiwimdljso.com'
domain_name(levels: int = 1) → str

Produce an Internet domain name with the specified number of subdomain levels.

>>> domain_name()
nichols-phillips.com
>>> domain_name(2)
williamson-hopkins.jackson.com
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.domain_name()
...
'gweonigim.kr'
'iani.kr'
'coebaeg.kr'
'yu.com'
'minbag.net'
domain_word() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.domain_word()
...
'gweonigim'
'iani'
'isongim'
'yu'
'yu'
email(safe: bool = True, domain: Optional[str] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.email()
...
'agweon@example.org'
'hyeonsug76@example.com'
'ni@example.net'
'ujingweon@example.net'
'hyeonji89@example.org'
free_email() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.free_email()
...
'agweon@gmail.com'
'hyeonsug76@naver.com'
'ni@hotmail.com'
'seongmin19@naver.com'
'jeongnamseo@nate.com'
free_email_domain(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.free_email_domain()
...
'live.com'
'live.com'
'gmail.com'
'naver.com'
'dreamwiz.com'
hostname(levels: int = 1) → str

Produce a hostname with specified number of subdomain levels.

>>> hostname()
db-01.nichols-phillips.com
>>> hostname(0)
laptop-56
>>> hostname(2)
web-12.williamson-hopkins.jackson.com
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.hostname()
...
'web-66.yu.org'
'desktop-75.jusighoesa.org'
'db-94.yu.com'
'web-57.yu.kr'
'laptop-78.gimheo.com'
http_method(min_length: Optional[int] = None, max_length: Optional[int] = None) → str

Returns random HTTP method https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods

Return type:str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.http_method()
...
'OPTIONS'
'OPTIONS'
'GET'
'DELETE'
'PATCH'
iana_id() → str

Returns IANA Registrar ID https://www.iana.org/assignments/registrar-ids/registrar-ids.xhtml

Return type:str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.iana_id()
...
'6463344'
'7056021'
'679216'
'4343903'
'8577767'
image_url(width: Optional[int] = None, height: Optional[int] = None, placeholder_url: Optional[str] = None) → str

Returns URL to placeholder image Example: http://placehold.it/640x480

Parameters:
  • width – Optional image width
  • height – Optional image height
  • placeholder_url – Optional template string of image URLs from custom placeholder service. String must contain {width} and {height} placeholders, eg: https:/example.com/{width}/{height}.
Return type:

str

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.image_url()
...
'https://picsum.photos/788/861'
'https://placeimg.com/530/995/any'
'https://placekitten.com/621/976'
'https://placekitten.com/447/285'
'https://placekitten.com/286/194'
ipv4(network: bool = False, address_class: Optional[str] = None, private: Optional[str] = None) → str

Returns a random IPv4 address or network with a valid CIDR.

Parameters:
  • network – Network address
  • address_class – IPv4 address class (a, b, or c)
  • private – Public or private
Returns:

IPv4

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ipv4()
...
'171.174.170.81'
'95.25.112.121'
'51.105.121.194'
'195.110.164.126'
'141.250.247.54'
ipv4_network_class(min_length: Optional[int] = None, max_length: Optional[int] = None) → str

Returns a IPv4 network class ‘a’, ‘b’ or ‘c’.

Returns:IPv4 network class
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ipv4_network_class()
...
'b'
'b'
'a'
'b'
'c'
ipv4_private(network: bool = False, address_class: Optional[str] = None) → str

Returns a private IPv4.

Parameters:
  • network – Network address
  • address_class – IPv4 address class (a, b, or c)
Returns:

Private IPv4

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ipv4_private()
...
'172.29.117.82'
'10.248.203.131'
'172.25.180.188'
'172.22.253.123'
'192.168.71.140'
ipv4_public(network: bool = False, address_class: Optional[str] = None) → str

Returns a public IPv4 excluding private blocks.

Parameters:
  • network – Network address
  • address_class – IPv4 address class (a, b, or c)
Returns:

Public IPv4

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ipv4_public()
...
'166.186.169.69'
'111.198.92.30'
'168.155.75.206'
'141.250.247.54'
'212.120.204.37'
ipv6(network: bool = False) → str

Produce a random IPv6 address or network with a valid CIDR

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ipv6()
...
'e3e7:682:c209:4cac:629f:6fbf:d82c:7cd'
'f728:b4fa:4248:5e3a:a5d:2f35:6baa:9455'
'eb11:67b3:67a9:c378:7c65:c1e6:82e2:e662'
'f7c1:bd87:4da5:e709:d471:3d61:c8a7:639'
'e443:df78:9558:867f:5ba9:1fb0:7a02:4204'
mac_address() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.mac_address()
...
'c5:d7:14:84:f8:cf'
'9b:f4:b7:6f:47:90'
'47:30:80:4b:9e:32'
'25:a9:f1:33:b5:de'
'a1:68:f4:e2:85:1f'
nic_handle(suffix: str = 'FAKE') → str

Returns NIC Handle ID https://www.apnic.net/manage-ip/using-whois/guide/person/

Return type:str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.nic_handle()
...
'ZYT1598-FAKE'
'SIW493-FAKE'
'UE59352-FAKE'
'WBUN892-FAKE'
'CHQD98-FAKE'
nic_handles(count: int = 1, suffix: str = '????') → List[str]

Returns NIC Handle ID list

Return type:list[str]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.nic_handles()
...
['ZYT1598-EWLN']
['WGNZ53-QITZ']
['UERV52-EJGW']
['CHQ498-DZJA']
['UU1864-TEMK']
port_number(is_system: bool = False, is_user: bool = False, is_dynamic: bool = False) → int

Returns a network port number https://tools.ietf.org/html/rfc6335

Parameters:
  • is_system – System or well-known ports
  • is_user – User or registered ports
  • is_dynamic – Dynamic / private / ephemeral ports
Return type:

int

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.port_number()
...
50494
55125
5306
33936
63691
ripe_id() → str

Returns RIPE Organization ID https://www.ripe.net/manage-ips-and-asns/db/support/organisation-object-in-the-ripe-database

Return type:str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ripe_id()
...
'ORG-ZYT1598-RIPE'
'ORG-SIW493-RIPE'
'ORG-UE59352-RIPE'
'ORG-WBUN892-RIPE'
'ORG-CHQD98-RIPE'
safe_domain_name(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.safe_domain_name()
...
'example.com'
'example.com'
'example.org'
'example.com'
'example.net'
safe_email() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.safe_email()
...
'agweon@example.org'
'hyeonsug76@example.com'
'ni@example.net'
'ujingweon@example.net'
'hyeonji89@example.org'
slug(value: Optional[str] = None) → str

Django algorithm

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.slug()
...
'molestiae-nihil'
'facilis-quaerat'
'necessitatibus'
'perferendis-magnam'
'esse-quae-deserunt'
tld(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.tld()
...
'org'
'kr'
'org'
'kr'
'com'
uri() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.uri()
...
'https://www.cabag.org/explore/category/main/'
'http://ju.com/explore/posts/list/post.html'
'https://yu.kr/'
'https://ju.org/tags/tags/posts/homepage/'
'https://www.jusighoesa.com/privacy/'
uri_extension(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.uri_extension()
...
'.php'
'.php'
'.html'
'.htm'
'.asp'
uri_page(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.uri_page()
...
'author'
'category'
'privacy'
'category'
'index'
uri_path(deep: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.uri_path()
...
'posts/tag'
'explore/tag'
'explore/category'
'blog'
'category'
url(schemes: Optional[List[str]] = None) → str
Parameters:schemes – a list of strings to use as schemes, one will chosen randomly. If None, it will generate http and https urls. Passing an empty list will result in schemeless url generation like “://domain.com”.
Returns:a random url string.
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.url()
...
'https://yu.org/'
'https://coebaeg.kr/'
'http://ju.com/'
'http://ju.com/'
'https://gangbaeg.kr/'
user_name() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.user_name()
...
'agweon'
'gimmigyeong'
'theo'
'ni'
'ujingweon'

faker.providers.job

class faker.providers.job.ko_KR.Provider(generator: Any)

Bases: faker.providers.job.Provider

job(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.job()
...
'감사 사무원'
'상/하수도 처리장치 조작원'
'메이크업 아티스트 및 분장사'
'숙박/여행/오락 및 스포츠 관련 관리자'
'상품기획 전문가'

faker.providers.person

class faker.providers.person.ko_KR.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()
...
'정희'
'유진'
'지후'
'영호'
'미경'
first_name_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_as_list()
...
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
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()
...
'지현'
'지연'
'영자'
'선영'
'옥순'
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()
...
OrderedDict([('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
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()
...
'준혁'
'정훈'
'승현'
'상훈'
'영일'
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()
...
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1)])
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()
...
'정희'
'유진'
'지후'
'영호'
'미경'
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()
...
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
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()
...
'홍'
'권'
'이'
'김'
'박'
last_name_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_as_list()
...
OrderedDict([('김', 0.10689), ('이', 0.07307), ('박', 0.04192), ('정', 0.00243), ('최', 0.02151), ('조', 0.00398), ('강', 0.01055), ('윤', 0.0102), ('장', 0.00992), ('임', 0.00191), ('한', 0.00773), ('오', 0.00763), ('서', 0.00751), ('신', 0.00192), ('권', 0.00705), ('황', 0.00697), ('안', 0.00685), ('송', 0.00683), ('류', 0.00642), ('전', 0.00186), ('홍', 0.00558), ('고', 0.00471), ('문', 0.00464), ('양', 0.0046), ('손', 0.00457), ('배', 0.004), ('백', 0.00381), ('허', 0.00326), ('유', 0.00167), ('남', 0.00275), ('심', 0.00271), ('노', 0.00256), ('하', 0.0023), ('곽', 0.00203), ('성', 0.00199), ('차', 0.00194), ('주', 0.00194), ('우', 0.00194), ('구', 0.00193), ('나', 0.00186), ('민', 0.00171), ('진', 0.00159), ('지', 0.00153), ('엄', 0.00144)])
OrderedDict([('김', 0.10689), ('이', 0.07307), ('박', 0.04192), ('정', 0.00243), ('최', 0.02151), ('조', 0.00398), ('강', 0.01055), ('윤', 0.0102), ('장', 0.00992), ('임', 0.00191), ('한', 0.00773), ('오', 0.00763), ('서', 0.00751), ('신', 0.00192), ('권', 0.00705), ('황', 0.00697), ('안', 0.00685), ('송', 0.00683), ('류', 0.00642), ('전', 0.00186), ('홍', 0.00558), ('고', 0.00471), ('문', 0.00464), ('양', 0.0046), ('손', 0.00457), ('배', 0.004), ('백', 0.00381), ('허', 0.00326), ('유', 0.00167), ('남', 0.00275), ('심', 0.00271), ('노', 0.00256), ('하', 0.0023), ('곽', 0.00203), ('성', 0.00199), ('차', 0.00194), ('주', 0.00194), ('우', 0.00194), ('구', 0.00193), ('나', 0.00186), ('민', 0.00171), ('진', 0.00159), ('지', 0.00153), ('엄', 0.00144)])
OrderedDict([('김', 0.10689), ('이', 0.07307), ('박', 0.04192), ('정', 0.00243), ('최', 0.02151), ('조', 0.00398), ('강', 0.01055), ('윤', 0.0102), ('장', 0.00992), ('임', 0.00191), ('한', 0.00773), ('오', 0.00763), ('서', 0.00751), ('신', 0.00192), ('권', 0.00705), ('황', 0.00697), ('안', 0.00685), ('송', 0.00683), ('류', 0.00642), ('전', 0.00186), ('홍', 0.00558), ('고', 0.00471), ('문', 0.00464), ('양', 0.0046), ('손', 0.00457), ('배', 0.004), ('백', 0.00381), ('허', 0.00326), ('유', 0.00167), ('남', 0.00275), ('심', 0.00271), ('노', 0.00256), ('하', 0.0023), ('곽', 0.00203), ('성', 0.00199), ('차', 0.00194), ('주', 0.00194), ('우', 0.00194), ('구', 0.00193), ('나', 0.00186), ('민', 0.00171), ('진', 0.00159), ('지', 0.00153), ('엄', 0.00144)])
OrderedDict([('김', 0.10689), ('이', 0.07307), ('박', 0.04192), ('정', 0.00243), ('최', 0.02151), ('조', 0.00398), ('강', 0.01055), ('윤', 0.0102), ('장', 0.00992), ('임', 0.00191), ('한', 0.00773), ('오', 0.00763), ('서', 0.00751), ('신', 0.00192), ('권', 0.00705), ('황', 0.00697), ('안', 0.00685), ('송', 0.00683), ('류', 0.00642), ('전', 0.00186), ('홍', 0.00558), ('고', 0.00471), ('문', 0.00464), ('양', 0.0046), ('손', 0.00457), ('배', 0.004), ('백', 0.00381), ('허', 0.00326), ('유', 0.00167), ('남', 0.00275), ('심', 0.00271), ('노', 0.00256), ('하', 0.0023), ('곽', 0.00203), ('성', 0.00199), ('차', 0.00194), ('주', 0.00194), ('우', 0.00194), ('구', 0.00193), ('나', 0.00186), ('민', 0.00171), ('진', 0.00159), ('지', 0.00153), ('엄', 0.00144)])
OrderedDict([('김', 0.10689), ('이', 0.07307), ('박', 0.04192), ('정', 0.00243), ('최', 0.02151), ('조', 0.00398), ('강', 0.01055), ('윤', 0.0102), ('장', 0.00992), ('임', 0.00191), ('한', 0.00773), ('오', 0.00763), ('서', 0.00751), ('신', 0.00192), ('권', 0.00705), ('황', 0.00697), ('안', 0.00685), ('송', 0.00683), ('류', 0.00642), ('전', 0.00186), ('홍', 0.00558), ('고', 0.00471), ('문', 0.00464), ('양', 0.0046), ('손', 0.00457), ('배', 0.004), ('백', 0.00381), ('허', 0.00326), ('유', 0.00167), ('남', 0.00275), ('심', 0.00271), ('노', 0.00256), ('하', 0.0023), ('곽', 0.00203), ('성', 0.00199), ('차', 0.00194), ('주', 0.00194), ('우', 0.00194), ('구', 0.00193), ('나', 0.00186), ('민', 0.00171), ('진', 0.00159), ('지', 0.00153), ('엄', 0.00144)])
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()
...
'홍'
'권'
'이'
'김'
'박'
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()
...
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
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()
...
'홍'
'권'
'이'
'김'
'박'
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()
...
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
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()
...
'홍'
'권'
'이'
'김'
'박'
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()
...
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
OrderedDict([('건우', 1.0), ('경수', 1), ('광수', 1), ('도윤', 1), ('도현', 1), ('동현', 1), ('민석', 1), ('민수', 1), ('민재', 1), ('민준', 1), ('병철', 1), ('상철', 1), ('상현', 1), ('상호', 1), ('상훈', 1), ('서준', 1), ('성민', 1), ('성수', 1), ('성진', 1), ('성현', 1), ('성호', 1), ('성훈', 1), ('승민', 1), ('승현', 1), ('시우', 1), ('영길', 1), ('영수', 1), ('영식', 1), ('영일', 1), ('영진', 1), ('영철', 1), ('영호', 1), ('영환', 1), ('예준', 1), ('우진', 1), ('재현', 1), ('재호', 1), ('정남', 1), ('정수', 1), ('정식', 1), ('정웅', 1), ('정호', 1), ('정훈', 1), ('종수', 1), ('주원', 1), ('준서', 1), ('준영', 1), ('준혁', 1), ('준호', 1), ('중수', 1), ('지후', 1), ('지훈', 1), ('진우', 1), ('진호', 1), ('현우', 1), ('현준', 1), ('경숙', 1.0), ('경자', 1), ('경희', 1), ('명숙', 1), ('명자', 1), ('미경', 1), ('미숙', 1), ('미영', 1), ('미정', 1), ('민서', 1), ('민지', 1), ('보람', 1), ('서연', 1), ('서영', 1), ('서윤', 1), ('서현', 1), ('선영', 1), ('수민', 1), ('수빈', 1), ('수진', 1), ('숙자', 1), ('순옥', 1), ('순자', 1), ('아름', 1), ('영미', 1), ('영숙', 1), ('영순', 1), ('영자', 1), ('영희', 1), ('예원', 1), ('예은', 1), ('예지', 1), ('예진', 1), ('옥순', 1), ('옥자', 1), ('유진', 1), ('윤서', 1), ('은경', 1), ('은서', 1), ('은영', 1), ('은정', 1), ('은주', 1), ('은지', 1), ('정숙', 1), ('정순', 1), ('정자', 1), ('정희', 1), ('지민', 1), ('지아', 1), ('지연', 1), ('지영', 1), ('지우', 1), ('지원', 1), ('지은', 1), ('지현', 1), ('지혜', 1), ('채원', 1), ('춘자', 1), ('하윤', 1), ('하은', 1), ('현숙', 1), ('현정', 1), ('현주', 1), ('현지', 1), ('혜진', 1)])
name() → str

:example ‘John Doe’

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'권영자'
'박승민'
'이예은'
'백예진'
'권우진'
name_female() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'권영자'
'박영순'
'이예은'
'백예진'
'권은정'
name_male() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'권승현'
'박승민'
'이영수'
'백영일'
'권우진'
name_nonbinary() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'권영자'
'박승민'
'이예은'
'백예진'
'권우진'
prefix(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
''
''
''
''
''
prefix_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_as_list()
...
()
()
()
()
()
prefix_female(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
''
''
''
''
''
prefix_female_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female_as_list()
...
()
()
()
()
()
prefix_male(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
''
''
''
''
''
prefix_male_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male_as_list()
...
()
()
()
()
()
prefix_nonbinary(min_length: Optional[int] = None, max_length: Optional[int] = None) → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
''
''
''
''
''
prefix_nonbinary_as_list() → Union[Tuple[str, ...], Dict[str, float]]
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary_as_list()
...
()
()
()
()
()
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()
...
()
()
()
()
()

faker.providers.phone_number

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

Bases: faker.providers.phone_number.Provider

country_calling_code(min_length: Optional[int] = None, max_length: Optional[int] = None) → 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()
...
'055-604-8764'
'063-593-8242'
'033-948-9241'
'070-1578-1565'
'016-387-7840'

faker.providers.ssn

class faker.providers.ssn.ko_KR.Provider(generator: Any)

Bases: faker.providers.ssn.Provider

ssn() → str
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ssn()
...
'600408-2764759'
'820412-1194892'
'110527-1815659'
'380727-2840801'
'600927-2535139'