Locale ne_NP¶

`faker.providers.address`¶

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

Bases: faker.providers.address.Provider

address() → str¶

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

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.address()
...
'सिंह गल्ली घर 47 \nरौतहट\nसोलुखुम्बु 82421'
'गुरुङ आश्रम वडा 578 \nचन्दननाथ\nबारा 59387'
'मानन्धर रोड वडा 6 \nलमजुङ\nअछाम 53513'
'पाण्डे बाटो घर 1 \nनेपालगंज\nसंखुवासभा 14841'
'सिंह कुना घर 19 \nकैलाली\nबझाङ 42320'

administrative_unit() → str¶

Example:	सुदूरपश्चिम प्रदेश
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.administrative_unit()
...
'सुदूरपश्चिम प्रदेश'
'गण्डकी प्रदेश'
'सुदूरपश्चिम प्रदेश'
'गण्डकी प्रदेश'
'प्रदेश नं १'

building_number() → str¶

Example:	‘791’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.building_number()
...
'60'
'87'
'47'
'93'
'242'

building_prefix() → str¶

Example:	वडा
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.building_prefix()
...
'घर'
'घर'
'वडा'
'घर'
'घर'

city() → str¶

Example:	कावासोती
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.city()
...
'कैलाली'
'कावासोती'
'सुनवल'
'खैरहानी नगरपालिका'
'मलङ्वा'

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()
...
'मोल्डोभा'
'लिबिया'
'इजरायल'
'पिटकेर्न टापु'
'हाइटी'

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

current_country_code() → str¶

Examples:

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

district() → str¶

Example:	अछाम
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.district()
...
'मनाङ'
'मोरङ'
'कञ्चनपुर'
'नवलपरासी (बर्दघाट सुस्ता पश्चिम)'
'संखुवासभा'

postcode() → str¶

Example:	86039-9874
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.postcode()
...
'60487'
'47593'
'42194'
'41157'
'56593'

province() → str¶

Example:	सुदूरपश्चिम प्रदेश
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.province()
...
'सुदूरपश्चिम प्रदेश'
'गण्डकी प्रदेश'
'सुदूरपश्चिम प्रदेश'
'गण्डकी प्रदेश'
'प्रदेश नं १'

street_address() → str¶

Example:	‘791 Crist Parks’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_address()
...
'सिंह गल्ली'
'तिवारी गल्ली'
'कुइकेल पथ'
'महर्जन आश्रम'
'गुरुङ आश्रम'

street_name() → str¶

Example:	‘Crist Parks’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_name()
...
'दुगड हाईट'
'के.सी रोड'
'के.सी. गल्ली'
'शर्मा कुना'
'राजकर्णिकार बाटो'

street_suffix() → str¶

Example:	‘Avenue’
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_suffix()
...
'हाईट'
'हाईट'
'मार्ग'
'गल्ली'
'रोड'

`faker.providers.person`¶

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

Bases: faker.providers.person.Provider

first_name() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'विजया'
'वुष्\u200dकर'
'माधुरी'
'श्रृष्\u200dटि'
'सगुन'

first_name_female() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'शान्ती'
'समानता'
'इन्दु'
'मन'
'सुषमा'

first_name_male() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'सजेन्\u200dद्र'
'नरेन्द्र'
'विवेक'
'सुनिल'
'पारस'

first_name_nonbinary() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'विजया'
'वुष्\u200dकर'
'माधुरी'
'श्रृष्\u200dटि'
'सगुन'

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()
...
'श्रेष्\u200dठ'
'लोहनी'
'दुगड'
'मानन्धर'
'अमात्\u200dय'

last_name_female() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'श्रेष्\u200dठ'
'लोहनी'
'दुगड'
'मानन्धर'
'अमात्\u200dय'

last_name_male() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'श्रेष्\u200dठ'
'लोहनी'
'दुगड'
'मानन्धर'
'अमात्\u200dय'

last_name_nonbinary() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'श्रेष्\u200dठ'
'लोहनी'
'दुगड'
'मानन्धर'
'अमात्\u200dय'

name() → str¶

:example ‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'समानता सिंह'
'हेमराज मानन्धर'
'श्रीमती तिवारी'
'बद्री शर्मा'
'प्रतिभा राजकर्णिकार'

name_female() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'समानता सिंह'
'सुषमा के.सी.'
'सुमित्रा शर्मा'
'प्रतिभा राजकर्णिकार'
'मिना महर्जन'

name_male() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'विवेक मानन्धर'
'अमिन के.सी'
'बबि के.सी.'
'बद्री शर्मा'
'सुनिल तुलाधर'

name_nonbinary() → str¶

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'समानता सिंह'
'हेमराज मानन्धर'
'श्रीमती तिवारी'
'बद्री शर्मा'
'प्रतिभा राजकर्णिकार'

prefix() → str¶

Examples:

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

prefix_female() → str¶

Examples:

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

prefix_male() → str¶

Examples:

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

prefix_nonbinary() → str¶

Examples:

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

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.ne_NP.Provider(generator: Any)¶

Bases: faker.providers.phone_number.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()
...
'9856048764'
'9855938242'
'+977 9489241157'
'9801565938'
'9857840801'

Locale ne_NP¶

faker.providers.address¶

faker.providers.person¶

faker.providers.phone_number¶

`faker.providers.address`¶

`faker.providers.person`¶

`faker.providers.phone_number`¶