Locale en_IN¶

`faker.providers.address`¶

class faker.providers.address.en_IN.Provider(generator: Any)¶

Bases: Provider

address() → str¶

Example:: ‘791 Crist Parks, Sashabury, IL 86039-9874’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.address()
...
'H.No. 487\nMitter Marg, Secunderabad-824219'
'H.No. 11, Sodhi Path, Raichur 593877'
'01/60, Tak, Latur 139332'
'H.No. 587, Mitra Zila, Amravati-839894'
'65/93, Gour Road, Gaya-947112'

administrative_unit() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.administrative_unit()
...
'West Bengal'
'Madhya Pradesh'
'Tripura'
'Maharashtra'
'Arunachal Pradesh'

building_number() → str¶

Example:: ‘791’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.building_number()
...
'60'
'H.No. 87'
'47'
'H.No. 93'
'24/21'

city() → str¶

Example:: ‘Sashabury’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.city()
...
'Bidar'
'Rampur'
'Machilipatnam'
'Morena'
'Ballia'

city_name() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.city_name()
...
'Kharagpur'
'Bidar'
'Thane'
'Rampur'
'Sasaram'

city_suffix() → str¶

Example:: ‘town’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.city_suffix()
...
'Ville'
'Ville'
'Ville'
'Ville'
'Ville'

country() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.country()
...
'Maldives'
'Palestine'
'Kingdom of the Netherlands'
'Barbados'
'Israel'

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

current_country_code() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.current_country_code()
...
'IN'
'IN'
'IN'
'IN'
'IN'

pincode_in_army() → int¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.pincode_in_army()
...
999346
905306
967013
953075
962468

pincode_in_military() → int¶

Random PIN Code within Army Postal Service range

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.pincode_in_military()
...
999346
905306
967013
953075
962468

pincode_in_state(state_abbr: str | None = None, include_union_territories: bool = False) → int¶

Random PIN Code within provided state abbreviation

Parameters:

state_abbr – State Abbr, defaults to None
include_union_territories – Include Union Territories ?, defaults to False

Raises:

ValueError – If incorrect state abbr

Returns:

PIN Code

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.pincode_in_state()
...
741445
792094
794880
262468
678268

postcode() → str¶

Example:: 86039-9874
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.postcode()
...
'604876'
'759382'
'219489'
'411578'
'565938'

postcode_in_army() → int¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.postcode_in_army()
...
999346
905306
967013
953075
962468

postcode_in_military() → int¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.postcode_in_military()
...
999346
905306
967013
953075
962468

postcode_in_state(state_abbr: str | None = None, include_union_territories: bool = False) → int¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.postcode_in_state()
...
741445
792094
794880
262468
678268

state() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.state()
...
'West Bengal'
'Madhya Pradesh'
'Tripura'
'Maharashtra'
'Arunachal Pradesh'

street_address() → str¶

Example:: ‘791 Crist Parks’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_address()
...
'04\nSunder Circle'
'H.No. 75\nKamdar'
'H.No. 21, Krishna'
'H.No. 11, Sodhi Path'
'H.No. 65, Jayaraman'

street_name() → str¶

Example:: ‘Crist Parks’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_name()
...
'Salvi Marg'
'Lad Nagar'
'Sunder Circle'
'Mitter Marg'
'Parmar Chowk'

street_suffix() → str¶

Example:: ‘Avenue’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_suffix()
...
'Street'
'Street'
'Street'
'Street'
'Street'

union_territory() → str¶

Returns random union territory name

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.union_territory()
...
'Ladakh'
'Ladakh'
'Andaman and Nicobar Islands'
'Delhi, National Capital Territory of Delhi'
'Pondicherry'

zipcode_in_army() → int¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.zipcode_in_army()
...
999346
905306
967013
953075
962468

zipcode_in_military() → int¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.zipcode_in_military()
...
999346
905306
967013
953075
962468

zipcode_in_state(state_abbr: str | None = None, include_union_territories: bool = False) → int¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.zipcode_in_state()
...
741445
792094
794880
262468
678268

`faker.providers.bank`¶

class faker.providers.bank.en_IN.Provider(generator: Any)¶

Bases: Provider

Implement bank provider for en_IN locale. Source: https://en.wikipedia.org/wiki/List_of_banks_in_India

aba() → str¶

Generate an ABA routing transit number.

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.aba()
...
'076048766'
'057593829'
'052194896'
'034115783'
'025659384'

bank() → str¶

Generate a bank name.

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.bank()
...
'Jammu & Kashmir Bank'
'Karur Vysya Bank'
'Bank of Maharashtra'
'DCB Bank'
'Yes Bank'

bank_country() → str¶

Generate the bank provider’s ISO 3166-1 alpha-2 country code.

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.bank_country()
...
'GB'
'GB'
'GB'
'GB'
'GB'

bban() → str¶

Generate a Basic Bank Account Number (BBAN).

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.bban()
...
'MYNB4876475938242'
'YDTZ4892411578156'
'KTUG8778408016097'
'KHXK1393328711587'
'DJRJ1858398947196'

iban() → str¶

Generate an International Bank Account Number (IBAN).

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.iban()
...
'GB37MYNB4876475938242'
'GB05YDTZ4892411578156'
'GB04KTUG8778408016097'
'GB93KHXK1393328711587'
'GB55DJRJ1858398947196'

swift(length: int | None = None, primary: bool = False, use_dataset: bool = False) → str¶

Generate a SWIFT code.

SWIFT codes, reading from left to right, are composed of a 4 alphabet character bank code, a 2 alphabet character country code, a 2 alphanumeric location code, and an optional 3 alphanumeric branch code. This means SWIFT codes can only have 8 or 11 characters, so the value of length can only be None or the integers 8 or 11. If the value is None, then a value of 8 or 11 will randomly be assigned.

Because all 8-digit SWIFT codes already refer to the primary branch or office, the primary argument only has an effect if the value of length is 11. If primary is True and length is 11, the 11-digit SWIFT codes generated will always end in 'XXX' to denote that they belong to primary branches/offices.

For extra authenticity, localized providers may opt to include SWIFT bank codes, location codes, and branch codes used in their respective locales. If use_dataset is True, this method will generate SWIFT codes based on those locale-specific codes if included. If those codes were not included, then it will behave as if use_dataset were False, and in that mode, all those codes will just be randomly generated as per the specification.

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift()
...
'YNBIGB65ZT4'
'SGQEGBSIGQ8'
'JDXCGBV4'
'LNKTGBN9'
'OQIBGB9AFZA'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=8)
...
'MYNBGBQ6'
'PMZJGB4W'
'SGQEGBSI'
'YDTZGBQ8'
'WZTEGBTG'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=8, use_dataset=True)
...
'MYNBGBQ6'
'PMZJGB4W'
'SGQEGBSI'
'YDTZGBQ8'
'WZTEGBTG'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11)
...
'MYNBGBQ65ZT'
'PLSGGB6ISIG'
'TZIRGBJTGEV'
'PRDLGB1UN94'
'OQIBGB9AFZA'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11, primary=True)
...
'MYNBGBQ6XXX'
'PMZJGB4WXXX'
'SGQEGBSIXXX'
'YDTZGBQ8XXX'
'WZTEGBTGXXX'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11, use_dataset=True)
...
'MYNBGBQ65ZT'
'PLSGGB6ISIG'
'TZIRGBJTGEV'
'PRDLGB1UN94'
'OQIBGB9AFZA'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11, primary=True, use_dataset=True)
...
'MYNBGBQ6XXX'
'PMZJGB4WXXX'
'SGQEGBSIXXX'
'YDTZGBQ8XXX'
'WZTEGBTGXXX'

swift11(primary: bool = False, use_dataset: bool = False) → str¶

Generate an 11-digit SWIFT code.

This method uses swift() under the hood with the length argument set to 11. If primary is set to True, the SWIFT code will always end with 'XXX'. All 11-digit SWIFT codes use this convention to refer to the primary branch/office.

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift11()
...
'MYNBGBQ65ZT'
'PLSGGB6ISIG'
'TZIRGBJTGEV'
'PRDLGB1UN94'
'OQIBGB9AFZA'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift11(use_dataset=True)
...
'MYNBGBQ65ZT'
'PLSGGB6ISIG'
'TZIRGBJTGEV'
'PRDLGB1UN94'
'OQIBGB9AFZA'

swift8(use_dataset: bool = False) → str¶

Generate an 8-digit SWIFT code.

This method uses swift() under the hood with the length argument set to 8 and with the primary argument omitted. All 8-digit SWIFT codes already refer to the primary branch/office.

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift8()
...
'MYNBGBQ6'
'PMZJGB4W'
'SGQEGBSI'
'YDTZGBQ8'
'WZTEGBTG'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift8(use_dataset=True)
...
'MYNBGBQ6'
'PMZJGB4W'
'SGQEGBSI'
'YDTZGBQ8'
'WZTEGBTG'

`faker.providers.person`¶

class faker.providers.person.en_IN.Provider(generator: Any)¶

Bases: Provider

first_name() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Lekha'
'Osha'
'Banjeet'
'Aashi'
'Yasti'

first_name_female() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Sanya'
'Ucchal'
'Anusha'
'Leela'
'Yashodhara'

first_name_male() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Reyansh'
'Shivansh'
'Anmol'
'Kai'
'Xavier'

first_name_nonbinary() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Lekha'
'Osha'
'Banjeet'
'Aashi'
'Yasti'

language_name() → str¶

Generate a random i18n language name (e.g. English).

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.language_name()
...
'Luba-Katanga'
'Malay'
'Aymara'
'Interlingue'
'Quechua'

last_name() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name()
...
'Rajan'
'Salvi'
'Baria'
'Lad'
'Vaidya'

last_name_female() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Rajan'
'Salvi'
'Baria'
'Lad'
'Vaidya'

last_name_male() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Rajan'
'Salvi'
'Baria'
'Lad'
'Vaidya'

last_name_nonbinary() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Rajan'
'Salvi'
'Baria'
'Lad'
'Vaidya'

name() → str¶

Example:: ‘John Doe’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Osha Baria'
'Yasti Sunder'
'Chavvi Sood'
'Tejas Thaman'
'Baghyawati Dey'

name_female() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Ucchal Baria'
'Yashodhara Sunder'
'Nidra Sood'
'Janani Thaman'
'Megha Dey'

name_male() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Shivansh Baria'
'Xavier Ravel'
'William Parmar'
'Zayyan Dewan'
'Ekaraj Chandran'

name_nonbinary() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Osha Baria'
'Yasti Sunder'
'Chavvi Sood'
'Tejas Thaman'
'Baghyawati Dey'

prefix() → str¶

Examples:

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

prefix_female() → str¶

Examples:

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

prefix_male() → str¶

Examples:

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

prefix_nonbinary() → str¶

Examples:

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

suffix() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix()
...
''
''
''
''
''

suffix_female() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_female()
...
''
''
''
''
''

suffix_male() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_male()
...
''
''
''
''
''

suffix_nonbinary() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_nonbinary()
...
''
''
''
''
''

`faker.providers.phone_number`¶

class faker.providers.phone_number.en_IN.Provider(generator: Any)¶

Bases: Provider

country_calling_code() → str¶

Examples:

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

msisdn() → str¶

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

Examples:

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

phone_number() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.phone_number()
...
'06048764759'
'+918242194892'
'01157815659'
'3877840801'
'6097535139'

`faker.providers.ssn`¶

class faker.providers.ssn.en_IN.Provider(generator: Any)¶

Bases: Provider

Faker provider for Indian Identifiers

aadhaar_id() → str¶

Aadhaar is a 12 digit person identifier generated for residents of India. Details: https://en.wikipedia.org/wiki/Aadhaar Official Website: https://uidai.gov.in/my-aadhaar/about-your-aadhaar.html

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.aadhaar_id()
...
'460487647592'
'242194892418'
'878156593872'
'608016097537'
'939332871150'

ssn() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ssn()
...
'604-87-6475'
'824-21-9489'
'411-57-8156'
'938-77-8408'
'160-97-5351'

Locale en_IN¶

`faker.providers.address`¶

`faker.providers.bank`¶

`faker.providers.person`¶

`faker.providers.phone_number`¶

`faker.providers.ssn`¶

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Locale en_IN¶

faker.providers.address¶

faker.providers.bank¶

faker.providers.person¶

faker.providers.phone_number¶

faker.providers.ssn¶

`faker.providers.address`¶

`faker.providers.bank`¶

`faker.providers.person`¶

`faker.providers.phone_number`¶

`faker.providers.ssn`¶