Locale it_IT

faker.providers.address

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

Bases: Provider

address() str
示例:

‘791 Crist Parks, Sashabury, IL 86039-9874’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.address()
...
"Contrada Tullio, 846 Appartamento 4\n40059, Sant'Antonio (BO)"
'Strada Borgia, 77\n86040, Monacilioni (CB)'
'Stretto Gullotta, 8 Piano 0\n51010, Avaglio (PT)'
'Borgo Antonella, 23 Appartamento 25\n63822, Porto San Giorgio (FM)'
'Vicolo Allegra, 67 Appartamento 4\n18038, San Bartolomeo (IM)'
administrative_unit() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.administrative_unit()
...
'Vicenza'
'Lodi'
'Trapani'
'Massa-Carrara'
'Ascoli Piceno'
building_number() str
示例:

‘791’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.building_number()
...
'96'
'846'
'4'
'28'
'95'
city() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.city()
...
'Coviolo'
'Odalengo Grande'
'Donzella'
'Beccacivetta'
'Rocchetta Cairo'
city_prefix() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.city_prefix()
...
'Quarto'
'Quarto'
'San'
'Sesto'
'Settimo'
city_suffix() str
示例:

‘town’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.city_suffix()
...
'veneto'
'veneto'
'a mare'
'salentino'
'umbro'
country() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.country()
...
'Tokelau'
'India'
'Sierra Leone'
'Regno Unito'
'Giappone'
country_code(representation: str = 'alpha-2') str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.country_code()
...
'MV'
'PS'
'NL'
'BB'
'IL'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.country_code(representation='alpha-2')
...
'MV'
'PS'
'NL'
'BB'
'IL'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.country_code(representation='alpha-3')
...
'MDV'
'PSE'
'NLD'
'BRB'
'ISR'
current_country() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.current_country()
...
'Italy'
'Italy'
'Italy'
'Italy'
'Italy'
current_country_code() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.current_country_code()
...
'IT'
'IT'
'IT'
'IT'
'IT'
postcode() str
示例:

86039-9874

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.postcode()
...
'70024'
'07031'
'88836'
'20044'
'38053'
postcode_city_province() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.postcode_city_province()
...
'70024, La Murgetta (BA)'
'88836, Cotronei (KR)'
'38053, Castello Tesino (TN)'
'74028, Sava (TA)'
'58042, Arcille (GR)'
secondary_address() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.secondary_address()
...
'Piano 6'
'Appartamento 74'
'Piano 7'
'Piano 9'
'Appartamento 8'
state() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.state()
...
'Vicenza'
'Lodi'
'Trapani'
'Massa-Carrara'
'Ascoli Piceno'
state_abbr() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.state_abbr()
...
'VI'
'LO'
'TP'
'MS'
'AP'
street_address() str
示例:

‘791 Crist Parks’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_address()
...
'Piazza Guidone, 846 Appartamento 4'
'Stretto Comencini, 81'
'Incrocio Mercadante, 818'
'Incrocio Jolanda, 69'
'Borgo Antonella, 23 Appartamento 25'
street_name() str
示例:

‘Crist Parks’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_name()
...
'Incrocio Bartoli'
'Stretto Speri'
'Contrada Sinisi'
'Vicolo Galeati'
'Contrada Elladio'
street_suffix() str
示例:

‘Avenue’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_suffix()
...
'Incrocio'
'Incrocio'
'Piazza'
'Contrada'
'Stretto'

faker.providers.automotive

class faker.providers.automotive.it_IT.Provider(generator: Any)

Bases: Provider

Implement automotive provider for it_IT locale.

来源

license_plate() str

生成一个车牌。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.license_plate()
...
'YN876BI'
'PL824SG'
'YD489TZ'
'JD578XC'
'LN387KT'
vin() str

生成车辆识别码。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.vin()
...
'RT3GZYSK4Z9J97593'
'7G0K75MX5LDXV8156'
'G416S1YM2EF0V3513'
'66LZY7KJ7DJV61858'
'RLFJBCB3669039471'

faker.providers.bank

class faker.providers.bank.it_IT.Provider(generator: Any)

Bases: Provider

Implement bank provider for it_IT locale.

aba() str

Generate an ABA routing transit number.

示例:

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

Generate a bank name.

bank_country() str

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

示例:

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

Generate a Basic Bank Account Number (BBAN).

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.bban()
...
'M6048764759382421948924'
'D1578156593877840801609'
'P5351393328711587148418'
'K8398947196593423209471'
'C2201868483396947751591'
iban() str

Generate an International Bank Account Number (IBAN).

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.iban()
...
'IT25M6048764759382421948924'
'IT62D1578156593877840801609'
'IT85P5351393328711587148418'
'IT70K8398947196593423209471'
'IT97C2201868483396947751591'
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.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift()
...
'YNBIIT65ZT4'
'SGQEITSIGQ8'
'JDXCITV4'
'LNKTITN9'
'OQIBIT9AFZA'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=8)
...
'MYNBITQ6'
'PMZJIT4W'
'SGQEITSI'
'YDTZITQ8'
'WZTEITTG'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=8, use_dataset=True)
...
'MYNBITQ6'
'PMZJIT4W'
'SGQEITSI'
'YDTZITQ8'
'WZTEITTG'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11)
...
'MYNBITQ65ZT'
'PLSGIT6ISIG'
'TZIRITJTGEV'
'PRDLIT1UN94'
'OQIBIT9AFZA'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11, primary=True)
...
'MYNBITQ6XXX'
'PMZJIT4WXXX'
'SGQEITSIXXX'
'YDTZITQ8XXX'
'WZTEITTGXXX'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11, use_dataset=True)
...
'MYNBITQ65ZT'
'PLSGIT6ISIG'
'TZIRITJTGEV'
'PRDLIT1UN94'
'OQIBIT9AFZA'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11, primary=True, use_dataset=True)
...
'MYNBITQ6XXX'
'PMZJIT4WXXX'
'SGQEITSIXXX'
'YDTZITQ8XXX'
'WZTEITTGXXX'
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.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift11()
...
'MYNBITQ65ZT'
'PLSGIT6ISIG'
'TZIRITJTGEV'
'PRDLIT1UN94'
'OQIBIT9AFZA'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift11(use_dataset=True)
...
'MYNBITQ65ZT'
'PLSGIT6ISIG'
'TZIRITJTGEV'
'PRDLIT1UN94'
'OQIBIT9AFZA'
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.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift8()
...
'MYNBITQ6'
'PMZJIT4W'
'SGQEITSI'
'YDTZITQ8'
'WZTEITTG'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift8(use_dataset=True)
...
'MYNBITQ6'
'PMZJIT4W'
'SGQEITSI'
'YDTZITQ8'
'WZTEITTG'

faker.providers.company

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

Bases: Provider

bs() str
示例:

‘integrate extensible convergence’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.bs()
...
'interfacce exploit front-end'
'comunità migliorate sinergiche'
'sistemi strategiche magnetiche'
'sistemi sinergizzate wireless'
'tecnologie target strategici'
catch_phrase() str
示例:

‘Robust full-range hub’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.catch_phrase()
...
'Conoscenza base switchabile ottima'
'Analizzatore espansa sistemica'
'Orchestrazione inversa locale'
'Sistema aperto innovativa globale'
'Parallelismo configurabile interattiva'
company() str
示例:

‘Acme Ltd’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company()
...
'Puglisi-Bartoli Group'
'Speri, Pirelli e Marconi s.r.l.'
'Galeati-Tiepolo e figli'
'Cilibrasi-Cadorna Group'
'Comencini, Mastroianni e Calarco SPA'
company_suffix() str
示例:

‘Ltd’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
's.r.l.'
's.r.l.'
'SPA'
'Group'
's.r.l.'
company_vat() str

Returns Italian VAT identification number (Partita IVA).

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_vat()
...
'IT66048761200'
'IT47593820377'
'IT21948920406'
'IT11578150564'
'IT59387780345'

faker.providers.currency

class faker.providers.currency.it_IT.Provider(generator: Any)

Bases: Provider

cryptocurrency() Tuple[str, str]
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.cryptocurrency()
...
('XRP', 'Ripple')
('STC', 'SwiftCoin')
('BC', 'BlackCoin')
('NXT', 'Nxt')
('IOTA', 'IOTA')
cryptocurrency_code() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.cryptocurrency_code()
...
'XRP'
'STC'
'BC'
'NXT'
'IOTA'
cryptocurrency_name() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.cryptocurrency_name()
...
'Ripple'
'SwiftCoin'
'BlackCoin'
'Nxt'
'IOTA'
currency() Tuple[str, str]
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.currency()
...
('MWK', 'Malawian kwacha')
('NZD', 'New Zealand dollar')
('BAM', 'Bosnia and Herzegovina convertible mark')
('IRR', 'Iranian rial')
('SPL', 'Seborga luigino')
currency_code() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.currency_code()
...
'MWK'
'NZD'
'BAM'
'IRR'
'SPL'
currency_name() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.currency_name()
...
'Malawian kwacha'
'New Zealand dollar'
'Bosnia and Herzegovina convertible mark'
'Iranian rial'
'Seborga luigino'
currency_symbol(code: str | None = None) str
示例:

$

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.currency_symbol()
...
'$'
'$'
'KM'
'kr'
'L'
pricetag()
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.pricetag()
...
'7.604,87\xa0€'
'975,93\xa0€'
'54,21\xa0€'
'89.241,15\xa0€'
'91.565,93\xa0€'

faker.providers.date_time

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

Bases: Provider

am_pm() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.am_pm()
...
'AM'
'AM'
'PM'
'PM'
'AM'
century() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.century()
...
'XIII'
'XIV'
'II'
'IX'
'XVII'
date(pattern: str = '%Y-%m-%d', end_datetime: date | datetime | timedelta | str | int | None = None) str

获取一个介于 1970 年 1 月 1 日和现在之间的日期字符串。

参数:
  • pattern – 日期格式(默认为年-月-日)

  • end_datetime – 一个 DateParseType。默认为当前日期和时间

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date()
...
'2017-04-02'
'2012-05-31'
'1993-07-14'
'1984-06-27'
'1998-08-11'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date(pattern='%m/%d/%Y')
...
'04/02/2017'
'05/31/2012'
'07/14/1993'
'06/27/1984'
'08/11/1998'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date(end_datetime='+1w')
...
'2017-04-08'
'2012-06-05'
'1993-07-17'
'1984-06-29'
'1998-08-15'
date_between(start_date: date | datetime | timedelta | str | int = '-30y', end_date: date | datetime | timedelta | str | int = 'today') date

获取一个基于两个给定日期之间随机日期的 Date 对象。接受可被 strtotime() 识别的日期字符串。

参数:
  • start_date – 一个 DateParseType。默认为 30 年前

  • end_date – 一个 DateParseType。默认为 "today"

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_between()
...
datetime.date(2021, 4, 16)
datetime.date(2018, 9, 11)
datetime.date(2008, 7, 28)
datetime.date(2003, 9, 22)
datetime.date(2011, 4, 18)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_between(start_date='-1w')
...
datetime.date(2025, 12, 14)
datetime.date(2025, 12, 14)
datetime.date(2025, 12, 11)
datetime.date(2025, 12, 10)
datetime.date(2025, 12, 12)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_between(start_date="-1y", end_date="+1w")
...
datetime.date(2025, 10, 25)
datetime.date(2025, 9, 23)
datetime.date(2025, 5, 20)
datetime.date(2025, 3, 21)
datetime.date(2025, 6, 23)
date_between_dates(date_start: date | datetime | timedelta | str | int | None = None, date_end: date | datetime | timedelta | str | int | None = None) date

获取两个给定日期之间的随机日期。

参数:
  • date_start – 一个 DateParseType。默认为 UNIX 纪元时间

  • date_end – 一个 DateParseType。默认为当前日期和时间

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_between_dates()
...
datetime.date(2025, 12, 16)
datetime.date(2025, 12, 16)
datetime.date(2025, 12, 16)
datetime.date(2025, 12, 16)
datetime.date(2025, 12, 16)
date_object(end_datetime: datetime | None = None) date

获取一个介于 1970 年 1 月 1 日和现在之间的 date 对象

参数:

end_datetime – 一个 DateParseType。默认为当前日期和时间

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_object()
...
datetime.date(2017, 4, 2)
datetime.date(2012, 5, 31)
datetime.date(1993, 7, 14)
datetime.date(1984, 6, 27)
datetime.date(1998, 8, 11)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_object(end_datetime='+1w')
...
datetime.date(2017, 4, 8)
datetime.date(2012, 6, 5)
datetime.date(1993, 7, 17)
datetime.date(1984, 6, 29)
datetime.date(1998, 8, 15)
date_of_birth(tzinfo: tzinfo | None = None, minimum_age: int = 0, maximum_age: int = 115) date

生成一个随机的出生日期,表示为一个 Date 对象,受可选的 minimum_age 和 maximum_age 参数限制。

参数:
  • tzinfo – 默认为 None。

  • minimum_age – 默认为 0

  • maximum_age – 默认为 115

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_of_birth()
...
datetime.date(2007, 11, 29)
datetime.date(1997, 11, 17)
datetime.date(1958, 9, 29)
datetime.date(1939, 12, 29)
datetime.date(1969, 4, 7)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_of_birth(minimum_age=30, maximum_age=50)
...
datetime.date(1992, 9, 8)
datetime.date(1990, 11, 15)
datetime.date(1983, 10, 15)
datetime.date(1980, 5, 23)
datetime.date(1985, 9, 10)
date_this_century(before_today: bool = True, after_today: bool = False) date

获取当前世纪的 Date 对象。

参数:
  • before_today – 包括今天之前的当前世纪日期。默认为 True

  • after_today – 包括今天之后的当前世纪日期。默认为 False

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_century()
...
datetime.date(2021, 12, 1)
datetime.date(2019, 9, 4)
datetime.date(2010, 12, 1)
datetime.date(2006, 9, 20)
datetime.date(2013, 4, 9)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_century(before_today=False, after_today=True)
...
datetime.date(2088, 6, 24)
datetime.date(2082, 1, 29)
datetime.date(2057, 2, 4)
datetime.date(2045, 2, 16)
datetime.date(2063, 10, 24)
date_this_decade(before_today: bool = True, after_today: bool = False) date

获取当前十年的 Date 对象。

参数:
  • before_today – 包括今天之前的当前十年日期。默认为 True

  • after_today – 包括今天之后的当前十年日期。默认为 False

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_decade()
...
datetime.date(2025, 1, 11)
datetime.date(2024, 7, 7)
datetime.date(2022, 7, 4)
datetime.date(2021, 7, 17)
datetime.date(2023, 1, 17)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_decade(before_today=False, after_today=True)
...
datetime.date(2029, 5, 16)
datetime.date(2029, 1, 8)
datetime.date(2027, 8, 29)
datetime.date(2027, 1, 2)
datetime.date(2028, 1, 10)
date_this_month(before_today: bool = True, after_today: bool = False) date

获取当前月份的 Date 对象。

参数:
  • before_today – 包括今天之前的当前月份日期。默认为 True

  • after_today – 包括今天之后的当前月份日期。默认为 False

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_month()
...
datetime.date(2025, 12, 13)
datetime.date(2025, 12, 12)
datetime.date(2025, 12, 7)
datetime.date(2025, 12, 4)
datetime.date(2025, 12, 8)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_month(before_today=False, after_today=True)
...
datetime.date(2025, 12, 29)
datetime.date(2025, 12, 28)
datetime.date(2025, 12, 22)
datetime.date(2025, 12, 20)
datetime.date(2025, 12, 24)
date_this_year(before_today: bool = True, after_today: bool = False) date

获取当前年份的 Date 对象。

参数:
  • before_today – 包括今天之前的当前年份日期。默认为 True

  • after_today – 包括今天之后的当前年份日期。默认为 False

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_year()
...
datetime.date(2025, 10, 22)
datetime.date(2025, 9, 22)
datetime.date(2025, 5, 27)
datetime.date(2025, 4, 1)
datetime.date(2025, 6, 28)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_this_year(before_today=False, after_today=True)
...
datetime.date(2025, 12, 29)
datetime.date(2025, 12, 28)
datetime.date(2025, 12, 22)
datetime.date(2025, 12, 20)
datetime.date(2025, 12, 24)
date_time(tzinfo: tzinfo | None = None, end_datetime: date | datetime | timedelta | str | int | None = None) datetime

获取一个介于 1970 年 1 月 1 日和指定 end_datetime 之间的 datetime 对象

参数:
  • tzinfo – 时区,datetime.tzinfo 子类的实例

  • end_datetime – 一个 DateParseType。默认为当前日期和时间

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time()
...
datetime.datetime(2017, 4, 2, 7, 9, 46, 391717)
datetime.datetime(2012, 5, 31, 1, 49, 49, 128489)
datetime.datetime(1993, 7, 14, 15, 27, 46, 315470)
datetime.datetime(1984, 6, 27, 17, 48, 26, 115300)
datetime.datetime(1998, 8, 11, 10, 27, 13, 427419)
date_time_ad(tzinfo: tzinfo | None = None, end_datetime: date | datetime | timedelta | str | int | None = None, start_datetime: date | datetime | timedelta | str | int | None = None) datetime

获取一个介于公元 0001 年 1 月 1 日和现在之间的 datetime 对象

参数:
  • tzinfo – 时区,datetime.tzinfo 子类的实例

  • end_datetime – 一个 DateParseType。默认为当前日期和时间

  • start_datetime – 一个 DateParseType。默认为 UNIX 时间戳 -62135596800

相当于 0001-01-01 00:00:00 UTC

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_ad()
...
datetime.datetime(1710, 12, 2, 9, 44, 41, 861572)
datetime.datetime(1535, 10, 30, 1, 56, 3, 11856)
datetime.datetime(852, 8, 21, 17, 50, 38, 359467)
datetime.datetime(525, 4, 18, 19, 55, 7, 85152)
datetime.datetime(1036, 4, 23, 18, 52, 54, 419624)
date_time_between(start_date: date | datetime | timedelta | str | int = '-30y', end_date: date | datetime | timedelta | str | int = 'now', tzinfo: tzinfo | None = None) datetime

获取一个基于两个给定日期之间随机日期的 datetime 对象。接受可被 strtotime() 识别的日期字符串。

参数:
  • start_date – 一个 DateParseType。默认为 30 年前

  • end_date – 一个 DateParseType。默认为 "now"

  • tzinfo – 时区,datetime.tzinfo 子类的实例

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_between()
...
datetime.datetime(2021, 4, 16, 7, 18, 39, 236214)
datetime.datetime(2018, 9, 11, 20, 43, 25, 808743)
datetime.datetime(2008, 7, 29, 2, 13, 6, 361449)
datetime.datetime(2003, 9, 22, 19, 23, 42, 49189)
datetime.datetime(2011, 4, 18, 22, 40, 38, 171082)
date_time_between_dates(datetime_start: date | datetime | timedelta | str | int | None = None, datetime_end: date | datetime | timedelta | str | int | None = None, tzinfo: tzinfo | None = None) datetime

获取两个给定 datetime 之间的随机 datetime。

参数:
  • datetime_start – 一个 DateParseType。默认为 UNIX 纪元时间

  • datetime_end – 一个 DateParseType。默认为当前日期和时间

  • tzinfo – 时区,datetime.tzinfo 子类的实例

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_between_dates()
...
datetime.datetime(2025, 12, 16, 0, 7, 56)
datetime.datetime(2025, 12, 16, 0, 7, 56)
datetime.datetime(2025, 12, 16, 0, 7, 56)
datetime.datetime(2025, 12, 16, 0, 7, 56)
datetime.datetime(2025, 12, 16, 0, 7, 56)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_between_dates(datetime_start='-30y', datetime_end='now')
...
datetime.datetime(2021, 4, 16, 7, 18, 39, 236214)
datetime.datetime(2018, 9, 11, 20, 43, 25, 808743)
datetime.datetime(2008, 7, 29, 2, 13, 6, 361449)
datetime.datetime(2003, 9, 22, 19, 23, 42, 49189)
datetime.datetime(2011, 4, 18, 22, 40, 38, 171082)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_between_dates(datetime_start='now', datetime_end='+1y')
...
datetime.datetime(2026, 10, 20, 10, 7, 53, 441207)
datetime.datetime(2026, 9, 18, 20, 10, 42, 993625)
datetime.datetime(2026, 5, 18, 14, 45, 42, 345382)
datetime.datetime(2026, 3, 20, 13, 44, 3, 534973)
datetime.datetime(2026, 6, 20, 17, 50, 37, 405703)
date_time_this_century(before_now: bool = True, after_now: bool = False, tzinfo: tzinfo | None = None) datetime

获取当前世纪的 datetime 对象。

参数:
  • before_now – 包括今天之前的当前世纪日期。默认为 True

  • after_now – 包括今天之后的当前世纪日期。默认为 False

  • tzinfo – 时区,datetime.tzinfo 子类的实例

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_century()
...
datetime.datetime(2021, 12, 1, 23, 14, 14, 765097)
datetime.datetime(2019, 9, 4, 4, 4, 36, 771829)
datetime.datetime(2010, 12, 1, 10, 35, 43, 430938)
datetime.datetime(2006, 9, 20, 18, 59, 14, 147557)
datetime.datetime(2013, 4, 9, 9, 33, 46, 83523)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_century(before_now=False, after_now=True)
...
datetime.datetime(2088, 6, 24, 13, 5, 23, 403588)
datetime.datetime(2082, 1, 29, 2, 53, 5, 851060)
datetime.datetime(2057, 2, 4, 22, 35, 4, 491809)
datetime.datetime(2045, 2, 16, 3, 34, 5, 756966)
datetime.datetime(2063, 10, 24, 21, 59, 24, 622678)
date_time_this_decade(before_now: bool = True, after_now: bool = False, tzinfo: tzinfo | None = None) datetime

获取当前十年的 datetime 对象。

参数:
  • before_now – 包括今天之前的当前十年日期。默认为 True

  • after_now – 包括今天之后的当前十年日期。默认为 False

  • tzinfo – 时区,datetime.tzinfo 子类的实例

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_decade()
...
datetime.datetime(2025, 1, 11, 11, 11, 54, 331360)
datetime.datetime(2024, 7, 7, 7, 30, 39, 447252)
datetime.datetime(2022, 7, 4, 3, 59, 9, 46389)
datetime.datetime(2021, 7, 17, 9, 42, 9, 366652)
datetime.datetime(2023, 1, 17, 12, 52, 43, 142282)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_decade(before_now=False, after_now=True)
...
datetime.datetime(2029, 5, 16, 5, 5, 10, 909494)
datetime.datetime(2029, 1, 8, 11, 59, 58, 845244)
datetime.datetime(2027, 8, 29, 4, 29, 52, 838178)
datetime.datetime(2027, 1, 2, 10, 10, 44, 227413)
datetime.datetime(2028, 1, 10, 3, 43, 51, 396301)
date_time_this_month(before_now: bool = True, after_now: bool = False, tzinfo: tzinfo | None = None) datetime

获取当前月份的 datetime 对象。

参数:
  • before_now – 包括今天之前的当前月份日期。默认为 True

  • after_now – 包括今天之后的当前月份日期。默认为 False

  • tzinfo – 时区,datetime.tzinfo 子类的实例

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_month()
...
datetime.datetime(2025, 12, 13, 16, 6, 12, 664378)
datetime.datetime(2025, 12, 12, 8, 57, 49, 692506)
datetime.datetime(2025, 12, 7, 7, 27, 40, 960829)
datetime.datetime(2025, 12, 4, 21, 14, 39, 352753)
datetime.datetime(2025, 12, 8, 16, 7, 35, 405661)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_month(before_now=False, after_now=True)
...
datetime.datetime(2025, 12, 29, 12, 16, 42, 822747)
datetime.datetime(2025, 12, 28, 3, 5, 11, 380329)
datetime.datetime(2025, 12, 22, 17, 34, 33, 961268)
datetime.datetime(2025, 12, 20, 3, 31, 19, 271232)
datetime.datetime(2025, 12, 24, 4, 23, 38, 808053)
date_time_this_year(before_now: bool = True, after_now: bool = False, tzinfo: tzinfo | None = None) datetime

获取当前年份的 datetime 对象。

参数:
  • before_now – 包括今天之前的当前年份日期。默认为 True

  • after_now – 包括今天之后的当前年份日期。默认为 False

  • tzinfo – 时区,datetime.tzinfo 子类的实例

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_year()
...
datetime.datetime(2025, 10, 22, 16, 59, 20, 686947)
datetime.datetime(2025, 9, 22, 12, 43, 34, 670796)
datetime.datetime(2025, 5, 27, 18, 45, 47, 411813)
datetime.datetime(2025, 4, 1, 8, 43, 15, 366007)
datetime.datetime(2025, 6, 28, 10, 30, 16, 805028)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.date_time_this_year(before_now=False, after_now=True)
...
datetime.datetime(2025, 12, 29, 12, 16, 42, 822747)
datetime.datetime(2025, 12, 28, 3, 5, 11, 380329)
datetime.datetime(2025, 12, 22, 17, 34, 33, 961268)
datetime.datetime(2025, 12, 20, 3, 31, 19, 271232)
datetime.datetime(2025, 12, 24, 4, 23, 38, 808053)
day_of_month() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.day_of_month()
...
'02'
'31'
'14'
'27'
'11'
day_of_week()
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.day_of_week()
...
'domenica'
'giovedì'
'mercoledì'
'mercoledì'
'martedì'
future_date(end_date: date | datetime | timedelta | str | int = '+30d') date

获取一个基于从现在开始 1 天到给定日期之间的随机日期的 Date 对象。

参数:
  • end_date – 一个 DateParseType。默认为 "+30d"

  • tzinfo – 时区,datetime.tzinfo 子类的实例

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.future_date()
...
datetime.date(2026, 1, 10)
datetime.date(2026, 1, 7)
datetime.date(2025, 12, 29)
datetime.date(2025, 12, 24)
datetime.date(2025, 12, 31)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.future_date(end_date='+1y')
...
datetime.date(2026, 10, 20)
datetime.date(2026, 9, 18)
datetime.date(2026, 5, 19)
datetime.date(2026, 3, 21)
datetime.date(2026, 6, 21)
future_datetime(end_date: date | datetime | timedelta | str | int = '+30d', tzinfo: tzinfo | None = None) datetime

获取一个基于从现在开始 1 秒到给定日期之间的随机日期的 datetime 对象。

参数:
  • end_date – 一个 DateParseType。默认为 "+30d"

  • tzinfo – 时区,datetime.tzinfo 子类的实例

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.future_datetime()
...
datetime.datetime(2026, 1, 10, 8, 6, 57, 594731)
datetime.datetime(2026, 1, 7, 17, 51, 34, 54467)
datetime.datetime(2025, 12, 28, 14, 56, 38, 116942)
datetime.datetime(2025, 12, 23, 18, 33, 8, 957843)
datetime.datetime(2025, 12, 31, 8, 15, 0, 566513)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.future_datetime(end_date='+1y')
...
datetime.datetime(2026, 10, 20, 10, 7, 53, 596785)
datetime.datetime(2026, 9, 18, 20, 10, 43, 235670)
datetime.datetime(2026, 5, 18, 14, 45, 42, 924810)
datetime.datetime(2026, 3, 20, 13, 44, 4, 276056)
datetime.datetime(2026, 6, 20, 17, 50, 37, 894428)
iso8601(tzinfo: tzinfo | None = None, end_datetime: date | datetime | timedelta | str | int | None = None, sep: str = 'T', timespec: str = 'auto') str

获取 UNIX 纪元时间到现在之间的 ISO 8601 字符串。

参数:
  • tzinfo – 时区,datetime.tzinfo 子类的实例

  • end_datetime – 一个 DateParseType。默认为当前日期和时间

  • sep – 日期和时间之间的分隔符,默认为 'T'

  • timespec – 时间部分的格式说明符,默认为 'auto' - 请参阅 datetime.isoformat() 文档

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.iso8601()
...
'2017-04-02T07:09:46.391717'
'2012-05-31T01:49:49.128489'
'1993-07-14T15:27:46.315470'
'1984-06-27T17:48:26.115300'
'1998-08-11T10:27:13.427419'
month() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.month()
...
'04'
'05'
'07'
'06'
'08'
month_name()
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.month_name()
...
'aprile'
'maggio'
'luglio'
'giugno'
'agosto'
past_date(start_date: date | datetime | timedelta | str | int = '-30d', tzinfo: tzinfo | None = None) date

获取一个基于给定日期和 1 天前之间的随机日期的 Date 对象。

参数:
  • start_date – 一个 DateParseType。默认为 "-30d"

  • tzinfo – 时区,datetime.tzinfo 子类的实例

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.past_date()
...
datetime.date(2025, 12, 10)
datetime.date(2025, 12, 7)
datetime.date(2025, 11, 28)
datetime.date(2025, 11, 23)
datetime.date(2025, 11, 30)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.past_date(start_date='-1y')
...
datetime.date(2025, 10, 19)
datetime.date(2025, 9, 17)
datetime.date(2025, 5, 17)
datetime.date(2025, 3, 19)
datetime.date(2025, 6, 19)
past_datetime(start_date: date | datetime | timedelta | str | int = '-30d', tzinfo: tzinfo | None = None) datetime

获取一个基于给定日期和 1 秒前之间的随机日期的 datetime 对象。

参数:
  • start_date – 一个 DateParseType。默认为 "-30d"

  • tzinfo – 时区,datetime.tzinfo 子类的实例

示例:

datetime(‘1999-02-02 11:42:52’)

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.past_datetime()
...
datetime.datetime(2025, 12, 11, 8, 6, 56, 594731)
datetime.datetime(2025, 12, 8, 17, 51, 33, 54467)
datetime.datetime(2025, 11, 28, 14, 56, 37, 116942)
datetime.datetime(2025, 11, 23, 18, 33, 7, 957843)
datetime.datetime(2025, 12, 1, 8, 14, 59, 566513)
pytimezone(*args: Any, **kwargs: Any) tzinfo | None

生成一个随机时区(有关任何参数,请参阅 faker.timezone),并返回一个可用作 datetime 或其他 faker 的 tzinfo 的 Python 对象。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.pytimezone()
...
zoneinfo.ZoneInfo(key='Indian/Maldives')
zoneinfo.ZoneInfo(key='America/Barbados')
zoneinfo.ZoneInfo(key='Europe/Stockholm')
zoneinfo.ZoneInfo(key='Africa/Windhoek')
zoneinfo.ZoneInfo(key='Asia/Qatar')
time(pattern: str = '%H:%M:%S', end_datetime: date | datetime | timedelta | str | int | None = None) str

获取一个时间字符串(默认为 24 小时格式)

参数:
  • pattern – 格式

  • end_datetime – 一个 DateParseType。默认为当前日期和时间

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time()
...
'07:09:46'
'01:49:49'
'15:27:46'
'17:48:26'
'10:27:13'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time(pattern='%I:%M %p')
...
'07:09 AM'
'01:49 AM'
'03:27 PM'
'05:48 PM'
'10:27 AM'
time_delta(end_datetime: date | datetime | timedelta | str | int | None = None) timedelta

获取一个随机的 timedelta 对象,其持续时间介于当前日期时间和 end_datetime 之间

参数:

end_datetime – 一个 DateParseType。默认为当前日期和时间

示例:

>>> 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)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time_delta(end_datetime='+30h')
...
datetime.timedelta(days=1, seconds=4797, microseconds=559965)
datetime.timedelta(seconds=81859, microseconds=75518)
datetime.timedelta(seconds=45421, microseconds=730730)
datetime.timedelta(seconds=27963, microseconds=9032)
datetime.timedelta(seconds=55217, microseconds=669908)
time_object(end_datetime: date | datetime | timedelta | str | int | None = None) time

获取一个 time 对象

参数:

end_datetime – 一个 DateParseType。默认为当前日期和时间

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time_object()
...
datetime.time(7, 9, 46, 391717)
datetime.time(1, 49, 49, 128489)
datetime.time(15, 27, 46, 315470)
datetime.time(17, 48, 26, 115300)
datetime.time(10, 27, 13, 427419)
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time_object(end_datetime='+1h')
...
datetime.time(8, 0, 26, 310383)
datetime.time(2, 35, 17, 764339)
datetime.time(15, 53, 0, 373161)
datetime.time(18, 3, 58, 215602)
datetime.time(10, 57, 54, 16416)
time_series(start_date: date | datetime | timedelta | str | int = '-30d', end_date: date | datetime | timedelta | str | int = 'now', precision: float | None = None, distrib: Callable[[datetime], float] | None = None, tzinfo: tzinfo | None = None) Iterator[Tuple[datetime, Any]]

返回一个生成器,生成 (<datetime>, <value>) 元组。

数据点将从 start_date 开始,并按照 precision 指定的时间间隔生成。

参数:
  • start_date – 一个 DateParseType。默认为 "-30d"

  • end_date – 一个 DateParseType。默认为 "now"

  • precision – 一个浮点数,表示数据点之间的时间间隔。

默认为时间间隔的 1/30。:param distrib: 一个可调用对象,接受一个 datetime 对象并返回一个值。默认为均匀分布。:param tzinfo: 时区,datetime.tzinfo 子类的实例

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time_series()
...
<generator object Provider.time_series at 0x7db94dbb21f0>
<generator object Provider.time_series at 0x7db94dbb21f0>
<generator object Provider.time_series at 0x7db94dbb21f0>
<generator object Provider.time_series at 0x7db94dbb21f0>
<generator object Provider.time_series at 0x7db94dbb21f0>
timezone() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.timezone()
...
'Indian/Maldives'
'America/Barbados'
'Europe/Stockholm'
'Africa/Windhoek'
'Asia/Qatar'
unix_time(end_datetime: date | datetime | timedelta | str | int | None = None, start_datetime: date | datetime | timedelta | str | int | None = None) float

获取一个介于 1970 年 1 月 1 日和现在之间的 Unix 时间戳,除非传递了明确的 start_datetimeend_datetime 值。

在 Windows 上,小数部分始终为 0。

参数:
  • end_datetime – 一个 DateParseType 类型。默认为 Unix 纪元。

  • start_datetime – 一个 DateParseType 类型。默认为当前日期和时间。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.unix_time()
...
1491116986.3917172
1338428989.128489
742663666.3154705
457206506.1153005
902831233.4274194
year() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.year()
...
'2017'
'2012'
'1993'
'1984'
'1998'

faker.providers.internet

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

Bases: Provider

ascii_company_email() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_company_email()
...
'cpuglisi@tornatore-speri.org'
'lodescalchi@tiepolo.org'
'margheritacadorna@gregori.com'
'montalcinisabatino@callegaro.it'
'amandasinisi@tremonti-gullotta.it'
ascii_email() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_email()
...
'qbartoli@hotmail.com'
'emarconi@gmail.com'
'ignaziocilibrasi@gregori.org'
'montalcinisabatino@callegaro.it'
'hrubbia@blasi-vespucci.com'
ascii_free_email() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_free_email()
...
'cpuglisi@fastwebnet.it'
'ypirelli@vodafone.it'
'lodescalchi@virgilio.it'
'ignaziocilibrasi@tim.it'
'vito92@vodafone.it'
ascii_safe_email() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_safe_email()
...
'cpuglisi@example.com'
'ypirelli@example.com'
'lodescalchi@example.org'
'ignaziocilibrasi@example.org'
'vito92@example.com'
company_email() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_email()
...
'cpuglisi@tornatore-speri.org'
'lodescalchi@tiepolo.org'
'margheritacadorna@gregori.com'
'montalcinisabatino@callegaro.it'
'amandasinisi@tremonti-gullotta.it'
dga(year: int | None = None, month: int | None = None, day: int | None = None, tld: str | None = None, length: int | None = None) str

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

Return type:

str

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.dga()
...
'hxqvaffcmfsccynscisxeajjagjahtnfcmfsccynscisxeajjagjahtnfcmfscc.org'
'meydkrgdcvulautulqvjofrrnbjkfmvrewtpfttqcjafdhxckmyfamohcpnldug.org'
'iiulfpgbvqcdaehnqkbxmaqgkykorlxnwy.net'
'cpyhexmtvewxpwiiaxtgdfajuhbsyaaykvgkgreki.com'
'uqniukqjckmjabijnuqholpsjayatffafysbsyaaytuquhbpmpviajxnaro.it'
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
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.domain_name()
...
'puglisi-bartoli.it'
'pirelli-marconi.eu'
'galeati.com'
'gregori.org'
'borgia.it'
domain_word() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.domain_word()
...
'puglisi-bartoli'
'speri'
'galeati-tiepolo'
'cilibrasi-cadorna'
'comencini'
email(safe: bool = True, domain: str | None = None) str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.email()
...
'cpuglisi@example.com'
'ypirelli@example.com'
'lodescalchi@example.org'
'ignaziocilibrasi@example.org'
'vito92@example.com'
free_email() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.free_email()
...
'cpuglisi@fastwebnet.it'
'ypirelli@vodafone.it'
'lodescalchi@virgilio.it'
'ignaziocilibrasi@tim.it'
'vito92@vodafone.it'
free_email_domain() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.free_email_domain()
...
'gmail.com'
'gmail.com'
'libero.it'
'fastwebnet.it'
'hotmail.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
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.hostname()
...
'web-66.guidone.it'
'web-47.galeati-tiepolo.org'
'srv-19.tutino-comencini.com'
'email-15.zacco-callegaro.it'
'desktop-93.sinisi.com'
http_method() str

Returns random HTTP method https://mdn.org.cn/en-US/docs/Web/HTTP/Methods

Return type:

str

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.http_method()
...
'OPTIONS'
'OPTIONS'
'GET'
'DELETE'
'PATCH'
http_status_code(include_unassigned: bool = True) int

Returns random HTTP status code https://www.rfc-editor.org/rfc/rfc9110#name-status-codes :param include_unassigned: Whether to include status codes which have

not yet been assigned or are unused

Returns:

a random three digit status code

Return type:

int

示例:

404

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.http_status_code()
...
532
297
488
555
315
iana_id() str

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

Return type:

str

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.iana_id()
...
'6463344'
'7056021'
'679216'
'4343903'
'8577767'
image_url(width: int | None = None, height: int | None = None, placeholder_url: str | None = None) str

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

参数:
  • 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

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.image_url()
...
'https://picsum.photos/788/861'
'https://dummyimage.com/530x995'
'https://dummyimage.com/621x976'
'https://dummyimage.com/447x285'
'https://placekitten.com/286/194'
ipv4(network: bool = False, address_class: str | None = None, private: str | None = None) str

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

参数:
  • network – Network address

  • address_class – IPv4 address class (a, b, or c)

  • private – Public or private

Returns:

IPv4

示例:

>>> 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() str

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

Returns:

IPv4 network class

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ipv4_network_class()
...
'b'
'b'
'a'
'b'
'c'
ipv4_private(network: bool = False, address_class: str | None = None) str

Returns a private IPv4.

参数:
  • network – Network address

  • address_class – IPv4 address class (a, b, or c)

Returns:

Private IPv4

示例:

>>> 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: str | None = None) str

Returns a public IPv4 excluding private blocks.

参数:
  • network – Network address

  • address_class – IPv4 address class (a, b, or c)

Returns:

Public IPv4

示例:

>>> 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

示例:

>>> 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(multicast: bool = False) str

Returns a random MAC address.

参数:

multicast – Multicast address

Returns:

MAC Address

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.mac_address()
...
'66:c5:d7:14:84:f8'
'48:9b:f4:b7:6f:47'
'18:47:30:80:4b:9e'
'6e:25:a9:f1:33:b5'
'0e:a1:68:f4:e2:85'
nic_handle(suffix: str = 'FAKE') str

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

Return type:

str

示例:

>>> 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]

示例:

>>> 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

参数:
  • is_system – System or well-known ports

  • is_user – User or registered ports

  • is_dynamic – Dynamic / private / ephemeral ports

Return type:

int

示例:

>>> 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

示例:

>>> 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() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.safe_domain_name()
...
'example.com'
'example.com'
'example.org'
'example.com'
'example.net'
safe_email() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.safe_email()
...
'cpuglisi@example.com'
'ypirelli@example.com'
'lodescalchi@example.org'
'ignaziocilibrasi@example.org'
'vito92@example.com'
slug(value: str | None = None) str

Django algorithm

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.slug()
...
'three-image-son'
'kitchen-amount'
'much-mention'
'why-step-themselves'
'me-help-past-wait'
tld() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.tld()
...
'it'
'it'
'com'
'org'
'it'
uri(schemes: List[str] | None = None, deep: int | None = None) str
参数:
  • schemes – a list of strings to use as schemes, one will chosen randomly. If None, it will generate http and https uris. Passing an empty list will result in schemeless uri generation like “://domain.com/index.html”.

  • deep – an integer specifying how many path components the URI should have..

Returns:

a random url string.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.uri()
...
'https://marconi-sinisi.it/categorylogin.jsp'
'http://www.comencini.eu/main/mainprivacy.htm'
'https://www.rubbia-tremonti.com/tag/tagsmain.asp'
'http://www.taccola.com/list/blog/postsabout.html'
'http://www.burcardo-botticelli.it/wp-contentprivacy.asp'
uri_extension() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.uri_extension()
...
'.php'
'.php'
'.html'
'.htm'
'.asp'
uri_page() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.uri_page()
...
'author'
'category'
'privacy'
'category'
'index'
uri_path(deep: int | None = None) str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.uri_path()
...
'posts/tag'
'explore/tag'
'explore/category'
'blog'
'category'
url(schemes: List[str] | None = None) str
参数:

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.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.url()
...
'https://guidone.it/'
'https://galeati-tiepolo.org/'
'http://www.gregori.com/'
'http://zacco-callegaro.it/'
'https://www.sinisi.com/'
user_name() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.user_name()
...
'cpuglisi'
'tullio76'
'sandro59'
'tonicilea'
'elladio19'

faker.providers.lorem

class faker.providers.lorem.it_IT.Provider(generator: Any)

Bases: Provider

实现 it_IT 区域设置的 lorem 提供程序。

Word list is based on the source(s) below, and some words have been removed to make the word list appropriate for public testing.

来源

get_words_list(part_of_speech: str | None = None, ext_word_list: Sequence[str] | None = None) List[str]

获取单词列表。

ext_word_list 参数允许用户提供一个单词列表来代替内置的单词列表。如果提供了 ext_word_list,则忽略 part_of_speech 的值。

part_of_speech 参数定义了返回的单词所属的词性。如果 ext_word_list 不是 None,则忽略 part_of_speech。如果 part_of_speech 的值与当前区域设置中存在的词性不对应,则会引发异常。

警告

根据区域提供者内置单词列表的长度或提供的 ext_word_list 的长度,如果 uniqueTrue,较大的 nb 可能会耗尽这些列表,从而引发异常。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.get_words_list(part_of_speech="abc", ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
['abc', 'def', 'ghi', 'jkl']
['abc', 'def', 'ghi', 'jkl']
['abc', 'def', 'ghi', 'jkl']
['abc', 'def', 'ghi', 'jkl']
['abc', 'def', 'ghi', 'jkl']
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.get_words_list(ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
['abc', 'def', 'ghi', 'jkl']
['abc', 'def', 'ghi', 'jkl']
['abc', 'def', 'ghi', 'jkl']
['abc', 'def', 'ghi', 'jkl']
['abc', 'def', 'ghi', 'jkl']
paragraph(nb_sentences: int = 3, variable_nb_sentences: bool = True, ext_word_list: Sequence[str] | None = None) str

生成一个段落。

The nb_sentences argument controls how many sentences the paragraph will contain, and setting variable_nb_sentences to False will generate the exact amount, while setting it to True (default) will generate a random amount (+/-40%, minimum of 1) using randomize_nb_elements().

Under the hood, sentences() is used to generate the sentences, so the argument ext_word_list works in the same way here as it would in that method.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.paragraph(nb_sentences=5)
...
'Anima vecchio magari temere serio venire. Oh svolgere medio duro ricevere passato. Voglia montagna pronto padre chilometro. Quello su presente lira. Forza faccia però corrente.'
'Inverno militare assistere temere teatro bastare signorina. Abbandonare maniera speciale difficile fenomeno speranza consiglio notte. Scherzare chiamare nascondere bambino voltare. Zio male esercito elevare capitare figlia tentare. Vasto padrone operaio isola organizzare. Facile difesa confronto seguito ammazzare visita.'
'Attesa preferire casa ci andare avanzare produrre. Presentare significare minuto minimo destino creare pregare. Oggetto lanciare politico vuoto tecnico saltare. Felice caldo operaio figurare.'
'Affatto domenica proporre gesto compagno. Sedere bianco chiesa processo anzi o. Padre attorno capitare consentire serio campo base. Anche albergo valere congresso.'
'Costa scegliere trasformare albero iniziare biondo distinguere. Atto esercito interessare assai libertà. Biondo voi contro freddo questo signora temere compagnia.'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.paragraph(nb_sentences=5, variable_nb_sentences=False)
...
'Ricordare indietro distanza merito gusto rivolgere. Venire freddo straniero cristiano certamente. Ricevere passato dire tacere. Sud estendere quello su presente lira bianco intenzione. Però corrente nemico inverno militare assistere temere teatro.'
'Qua grigio sentimento posare. Parlare sereno figlio. Promettere assoluto tecnico cultura scherzare chiamare. Italiano avanzare fantasia mente tra brutto necessità. Nazione secondo muro vasto.'
'Nazionale egli base sbagliare facile difesa confronto seguito. Parola poesia luce. Preferire casa ci andare. Stupido termine musica godere. Dottore scusare sognare strumento opporre uguale oggetto.'
'Mangiare pesare produzione viso fratello felice caldo. Perché situazione differenza questo camera cucina salutare figlia. Bianco chiesa processo anzi. Pericolo trasformare padre attorno capitare consentire serio. Godere genere vino anche.'
'Contenere verità puro. Costa scegliere trasformare albero iniziare biondo distinguere. Atto esercito interessare assai libertà. Biondo voi contro freddo questo signora temere compagnia. Vendere ascoltare pranzo situazione fiore.'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.paragraph(nb_sentences=5, ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
'Abc jkl def jkl jkl jkl. Ghi jkl ghi def jkl ghi. Jkl ghi ghi ghi abc. Ghi jkl ghi def. Def def ghi abc.'
'Def ghi abc jkl jkl abc jkl. Abc def jkl abc def jkl abc ghi. Jkl abc ghi abc jkl. Jkl def def def abc def jkl. Jkl ghi ghi def ghi. Def abc abc jkl abc jkl.'
'Abc ghi abc abc abc abc ghi. Ghi jkl ghi ghi abc abc ghi. Ghi def ghi jkl jkl jkl. Def abc ghi def.'
'Abc def ghi def abc. Jkl abc abc ghi abc ghi. Ghi abc abc abc jkl abc abc. Abc abc jkl abc.'
'Abc jkl jkl abc def abc def. Abc def def abc def. Abc jkl abc def ghi jkl jkl abc.'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.paragraph(nb_sentences=5, variable_nb_sentences=False, ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
'Jkl def def ghi def jkl. Jkl def jkl abc abc. Jkl ghi def jkl. Jkl def ghi jkl ghi def abc def. Ghi abc ghi def ghi abc jkl jkl.'
'Ghi def jkl ghi. Ghi jkl def. Ghi abc jkl abc jkl abc. Def abc def ghi jkl abc ghi. Ghi jkl ghi jkl.'
'Ghi def abc jkl def abc abc jkl. Ghi ghi def. Ghi abc abc abc. Jkl jkl ghi def. Def jkl jkl jkl ghi jkl ghi.'
'Def ghi ghi jkl def def abc. Ghi jkl abc ghi abc abc jkl def. Abc abc ghi abc. Ghi jkl ghi abc abc abc jkl. Def def jkl abc.'
'Abc jkl ghi. Abc jkl jkl abc def abc def. Abc def def abc def. Abc jkl abc def ghi jkl jkl abc. Jkl abc ghi jkl def.'
paragraphs(nb: int = 3, ext_word_list: Sequence[str] | None = None) List[str]

生成一个段落列表。

This method uses paragraph() under the hood to generate paragraphs, and the nb argument controls exactly how many sentences the list will contain. The ext_word_list argument works in exactly the same way as well.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.paragraphs(nb=5)
...
['Anima vecchio magari temere serio venire. Oh svolgere medio duro ricevere passato. Voglia montagna pronto padre chilometro.', 'Su presente lira bianco. Faccia però corrente nemico inverno militare.', 'Teatro bastare signorina prova rivoluzione pelle parlare. Difficile fenomeno speranza consiglio notte di.', 'Italiano avanzare fantasia mente tra brutto necessità. Nazione secondo muro vasto.', 'Operaio isola organizzare giudizio occhio elettrico conservare. Ammazzare visita distinguere attesa. Sposare terreno sinistro stupido. Presentare significare minuto minimo destino creare pregare.']
['Dottore mangiare pesare produzione viso fratello felice caldo. Perché situazione differenza questo camera cucina salutare figlia. Bianco chiesa processo anzi.', 'Padre attorno capitare consentire serio campo base. Anche albergo valere congresso. Lungo quanto assai pregare.', 'Passo sicurezza attimo atto esercito interessare. Medico angolo biondo voi. Distinguere superare linea sud nulla.', 'Rosso classe coloro molto. Origine inverno comprendere lira.', 'Spiegare tedesco piazza giusto poeta circa primo. Reale film apparire durare dietro unico forte. Potenza opporre straniero solo cattivo.']
['Rendere serie avanzare ordine prodotto collo. Persona giornata spingere nudo importare.', 'Incontrare ponte appartenere isola distanza ciò moderno. Svolgere paese a angolo ferire significare appunto. Consentire zona perfino avvertire qualsiasi voce.', 'Faccia costruire pure abbastanza semplice modo. Considerare papà contrario esistere. Bianco solo greco avere.', 'Scappare cambiare discutere piuttosto segno piano caldo. Dubbio aggiungere animale prendere.', 'Uccidere tratto tacere animo rendere professore. Provocare suo però gettare motivo cortile operaio. Cercare domenica finalmente.']
['Finché passo animale colpo. Elemento grave ne entrare luna dietro appena concetto. Quasi esperienza sicurezza escludere brutto non lì.', 'Capitare cambiare massa ancora figurare presto. Tempo pensare giocare vestito. Atteggiamento avvocato repubblica assai.', 'Grande migliore labbro malattia.', 'Infatti gatto voi distruggere ritornare. Contadino caldo sembrare solito altro mio. Campagna gridare corso animo ufficiale. Peccato bosco legge frutto sera.', 'Vista chiudere idea pregare stabilire mantenere tecnico favore. Zio pericoloso spiegare nascondere tono accordo proporre.']
['Ampio chiudere discutere rivolgere sinistro oh. Atteggiamento avvocato specie angolo dare animale affare. Fianco colore chiudere poesia vento medio successo.', 'O preferire scomparire. Volgere relazione superiore corsa morte ospedale sentire ma. Pane descrivere sotto aiutare stasera rappresentare.', 'Numero figlia maniera dito sentire rispondere giudicare. Assistere pesare caratteristico egli serio arrivare.', 'In mandare sostenere punto potenza cielo voce.', 'Parlare giungere appartenere. Ritorno aiutare ospedale cattivo fede produzione piazza. Giro ritenere mamma stampa parere.']
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.paragraphs(nb=5, ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
['Abc jkl def jkl jkl jkl. Ghi jkl ghi def jkl ghi. Jkl ghi ghi ghi abc.', 'Jkl ghi def abc. Def ghi abc ghi def ghi.', 'Jkl abc jkl ghi jkl ghi ghi. Abc def jkl abc ghi abc.', 'Def abc def ghi jkl abc ghi. Ghi jkl ghi jkl.', 'Ghi def ghi def ghi def abc. Abc jkl def abc. Jkl jkl jkl jkl. Ghi jkl ghi ghi abc abc ghi.']
['Def def ghi ghi jkl def def abc. Ghi jkl abc ghi abc abc jkl def. Abc abc ghi abc.', 'Ghi abc abc abc jkl abc abc. Abc abc jkl abc. Def ghi abc ghi.', 'Ghi jkl abc abc def def. Ghi abc abc jkl. Def jkl def jkl ghi.', 'Jkl abc abc ghi. Ghi def abc def.', 'Jkl jkl ghi def ghi abc ghi. Ghi def abc def abc jkl def. Ghi ghi jkl jkl abc.']
['Ghi jkl abc ghi ghi abc. Ghi def jkl ghi def.', 'Def ghi abc def def abc ghi. Jkl ghi abc abc def jkl abc. Abc jkl ghi abc ghi jkl.', 'Def abc ghi abc jkl ghi. Abc ghi abc def. Abc jkl def abc.', 'Jkl abc def ghi jkl ghi abc. Def abc abc ghi.', 'Jkl jkl jkl abc ghi ghi. Ghi jkl ghi def ghi abc ghi. Abc def def.']
['Def ghi abc abc. Def def ghi def def abc abc abc. Ghi def jkl def abc ghi def.', 'Abc abc def abc def ghi. Jkl ghi def jkl. Abc abc ghi abc.', 'Def ghi def def.', 'Def def jkl def jkl. Abc abc jkl jkl abc ghi. Abc def abc abc jkl. Ghi abc def def jkl.', 'Jkl abc def ghi jkl def jkl def. Jkl ghi jkl ghi jkl abc ghi.']
['Abc abc def jkl jkl ghi. Abc abc jkl abc abc abc abc. Def abc abc ghi jkl ghi jkl.', 'Ghi ghi jkl. Jkl ghi jkl abc ghi ghi jkl def. Ghi abc jkl abc jkl ghi.', 'Ghi def def def jkl jkl def. Abc ghi abc def jkl abc.', 'Def def jkl ghi ghi abc jkl.', 'Ghi def abc. Jkl abc ghi abc def ghi ghi. Def jkl def jkl ghi.']
sentence(nb_words: int = 6, variable_nb_words: bool = True, ext_word_list: Sequence[str] | None = None) str

生成一个句子。

The nb_words argument controls how many words the sentence will contain, and setting variable_nb_words to False will generate the exact amount, while setting it to True (default) will generate a random amount (+/-40%, minimum of 1) using randomize_nb_elements().

Under the hood, words() is used to generate the words, so the argument ext_word_list works in the same way here as it would in that method.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.sentence(nb_words=10)
...
'Ricordare indietro distanza merito gusto rivolgere esperienza luce oh svolgere.'
'Certamente certo battere scappare voglia montagna pronto padre chilometro bere attorno sogno.'
'Lira bianco intenzione parete tardi vendere lui sotto distruggere scomparire.'
'Teatro bastare signorina prova rivoluzione pelle parlare sereno figlio questione promettere assoluto tecnico.'
'Di venire scherzare italiano avanzare fantasia mente tra.'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.sentence(nb_words=10, variable_nb_words=False)
...
'Sistema ricordare indietro distanza merito gusto rivolgere esperienza luce oh.'
'Svolgere medio duro ricevere passato dire tacere vista scrivere sud.'
'Estendere quello su presente lira bianco intenzione parete tardi vendere.'
'Lui sotto distruggere scomparire ne adesso qua grigio sentimento posare.'
'Abbandonare maniera speciale difficile fenomeno speranza consiglio notte di venire.'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.sentence(nb_words=10, ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
'Jkl def def ghi def jkl def def ghi jkl.'
'Abc abc abc jkl jkl ghi ghi ghi abc abc abc jkl.'
'Def abc def ghi jkl jkl def jkl def jkl.'
'Jkl abc jkl ghi jkl ghi ghi jkl def ghi ghi abc jkl.'
'Abc jkl jkl def abc def ghi jkl.'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.sentence(nb_words=10, variable_nb_words=True, ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
'Jkl def def ghi def jkl def def ghi jkl.'
'Abc abc abc jkl jkl ghi ghi ghi abc abc abc jkl.'
'Def abc def ghi jkl jkl def jkl def jkl.'
'Jkl abc jkl ghi jkl ghi ghi jkl def ghi ghi abc jkl.'
'Abc jkl jkl def abc def ghi jkl.'
sentences(nb: int = 3, ext_word_list: Sequence[str] | None = None) List[str]

生成一个句子列表。

This method uses sentence() under the hood to generate sentences, and the nb argument controls exactly how many sentences the list will contain. The ext_word_list argument works in exactly the same way as well.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.sentences()
...
['Ricordare indietro distanza merito gusto rivolgere.', 'Venire freddo straniero cristiano certamente.', 'Ricevere passato dire tacere.']
['Sud estendere quello su presente lira bianco intenzione.', 'Però corrente nemico inverno militare assistere temere teatro.', 'Qua grigio sentimento posare.']
['Parlare sereno figlio.', 'Promettere assoluto tecnico cultura scherzare chiamare.', 'Italiano avanzare fantasia mente tra brutto necessità.']
['Nazione secondo muro vasto.', 'Nazionale egli base sbagliare facile difesa confronto seguito.', 'Parola poesia luce.']
['Preferire casa ci andare.', 'Stupido termine musica godere.', 'Dottore scusare sognare strumento opporre uguale oggetto.']
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.sentences(nb=5)
...
['Ricordare indietro distanza merito gusto rivolgere.', 'Venire freddo straniero cristiano certamente.', 'Ricevere passato dire tacere.', 'Sud estendere quello su presente lira bianco intenzione.', 'Però corrente nemico inverno militare assistere temere teatro.']
['Qua grigio sentimento posare.', 'Parlare sereno figlio.', 'Promettere assoluto tecnico cultura scherzare chiamare.', 'Italiano avanzare fantasia mente tra brutto necessità.', 'Nazione secondo muro vasto.']
['Nazionale egli base sbagliare facile difesa confronto seguito.', 'Parola poesia luce.', 'Preferire casa ci andare.', 'Stupido termine musica godere.', 'Dottore scusare sognare strumento opporre uguale oggetto.']
['Mangiare pesare produzione viso fratello felice caldo.', 'Perché situazione differenza questo camera cucina salutare figlia.', 'Bianco chiesa processo anzi.', 'Pericolo trasformare padre attorno capitare consentire serio.', 'Godere genere vino anche.']
['Contenere verità puro.', 'Costa scegliere trasformare albero iniziare biondo distinguere.', 'Atto esercito interessare assai libertà.', 'Biondo voi contro freddo questo signora temere compagnia.', 'Vendere ascoltare pranzo situazione fiore.']
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.sentences(nb=5, ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
['Jkl def def ghi def jkl.', 'Jkl def jkl abc abc.', 'Jkl ghi def jkl.', 'Jkl def ghi jkl ghi def abc def.', 'Ghi abc ghi def ghi abc jkl jkl.']
['Ghi def jkl ghi.', 'Ghi jkl def.', 'Ghi abc jkl abc jkl abc.', 'Def abc def ghi jkl abc ghi.', 'Ghi jkl ghi jkl.']
['Ghi def abc jkl def abc abc jkl.', 'Ghi ghi def.', 'Ghi abc abc abc.', 'Jkl jkl ghi def.', 'Def jkl jkl jkl ghi jkl ghi.']
['Def ghi ghi jkl def def abc.', 'Ghi jkl abc ghi abc abc jkl def.', 'Abc abc ghi abc.', 'Ghi jkl ghi abc abc abc jkl.', 'Def def jkl abc.']
['Abc jkl ghi.', 'Abc jkl jkl abc def abc def.', 'Abc def def abc def.', 'Abc jkl abc def ghi jkl jkl abc.', 'Jkl abc ghi jkl def.']
text(max_nb_chars: int = 200, ext_word_list: Sequence[str] | None = None) str

生成一个文本字符串。

max_nb_chars 参数控制生成的文本字符串的大致字符数,根据其值,此方法可能会使用 words()sentences()paragraphs() 进行文本生成。 ext_word_list 参数的工作方式与在这些方法中的任何一个中完全相同。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.text(max_nb_chars=20)
...
'Pregare realtà.'
'Legare suo.'
'Pubblico morte.'
'Perfetto giugno.'
'Dimenticare massa.'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.text(max_nb_chars=80)
...
'Ricordare indietro distanza merito gusto rivolgere.'
'Ricevere passato dire tacere.'
'Però corrente nemico inverno militare assistere temere teatro.'
'Parlare sereno figlio. Promettere assoluto tecnico cultura scherzare chiamare.'
'Nazione secondo muro vasto.'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.text(max_nb_chars=160)
...
'Anima vecchio magari temere serio venire. Oh svolgere medio duro ricevere passato. Voglia montagna pronto padre chilometro.'
'Teatro bastare signorina prova rivoluzione pelle parlare. Difficile fenomeno speranza consiglio notte di.'
'Dottore mangiare pesare produzione viso fratello felice caldo. Perché situazione differenza questo camera cucina salutare figlia. Bianco chiesa processo anzi.'
'Passo sicurezza attimo atto esercito interessare. Medico angolo biondo voi. Distinguere superare linea sud nulla.'
'Spiegare tedesco piazza giusto poeta circa primo. Reale film apparire durare dietro unico forte. Potenza opporre straniero solo cattivo.'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.text(ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
'Abc jkl def jkl jkl jkl. Ghi jkl ghi def jkl ghi. Jkl ghi ghi ghi abc.\nJkl ghi def abc. Def ghi abc ghi def ghi.\nJkl abc jkl ghi jkl ghi ghi. Abc def jkl abc ghi abc.'
'Ghi def ghi def ghi def abc. Abc jkl def abc. Jkl jkl jkl jkl. Ghi jkl ghi ghi abc abc ghi.\nDef def ghi ghi jkl def def abc. Ghi jkl abc ghi abc abc jkl def. Abc abc ghi abc.'
'Ghi jkl abc abc def def. Ghi abc abc jkl. Def jkl def jkl ghi.\nJkl abc abc ghi. Ghi def abc def.\nJkl jkl ghi def ghi abc ghi. Ghi def abc def abc jkl def. Ghi ghi jkl jkl abc.'
'Def ghi abc def def abc ghi. Jkl ghi abc abc def jkl abc. Abc jkl ghi abc ghi jkl.\nDef abc ghi abc jkl ghi. Abc ghi abc def. Abc jkl def abc.\nJkl abc def ghi jkl ghi abc. Def abc abc ghi.'
'Def ghi abc abc. Def def ghi def def abc abc abc. Ghi def jkl def abc ghi def.\nAbc abc def abc def ghi. Jkl ghi def jkl. Abc abc ghi abc.\nDef ghi def def.'
texts(nb_texts: int = 3, max_nb_chars: int = 200, ext_word_list: Sequence[str] | None = None) List[str]

生成一个文本字符串列表。

The nb_texts argument controls how many text strings the list will contain, and this method uses text() under the hood for text generation, so the two remaining arguments, max_nb_chars and ext_word_list will work in exactly the same way as well.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.texts(nb_texts=5)
...
['Anima vecchio magari temere serio venire. Oh svolgere medio duro ricevere passato. Voglia montagna pronto padre chilometro.\nSu presente lira bianco. Faccia però corrente nemico inverno militare.', 'Italiano avanzare fantasia mente tra brutto necessità. Nazione secondo muro vasto.', 'Dottore mangiare pesare produzione viso fratello felice caldo. Perché situazione differenza questo camera cucina salutare figlia. Bianco chiesa processo anzi.', 'Passo sicurezza attimo atto esercito interessare. Medico angolo biondo voi. Distinguere superare linea sud nulla.\nRosso classe coloro molto. Origine inverno comprendere lira.', 'Rendere serie avanzare ordine prodotto collo. Persona giornata spingere nudo importare.']
['Faccia costruire pure abbastanza semplice modo. Considerare papà contrario esistere. Bianco solo greco avere.', 'Uccidere tratto tacere animo rendere professore. Provocare suo però gettare motivo cortile operaio. Cercare domenica finalmente.', 'Capitare cambiare massa ancora figurare presto. Tempo pensare giocare vestito. Atteggiamento avvocato repubblica assai.\nGrande migliore labbro malattia.', 'Vista chiudere idea pregare stabilire mantenere tecnico favore. Zio pericoloso spiegare nascondere tono accordo proporre.', 'O preferire scomparire. Volgere relazione superiore corsa morte ospedale sentire ma. Pane descrivere sotto aiutare stasera rappresentare.']
['In mandare sostenere punto potenza cielo voce.\nParlare giungere appartenere. Ritorno aiutare ospedale cattivo fede produzione piazza. Giro ritenere mamma stampa parere.', 'Uomo sud anima discorso. Tuttavia portare nuovo. Dedicare ritenere stasera pensare mattino. Indietro esprimere caffè inizio notizia termine trascinare.', 'Attimo straordinario cortile corrente potenza tratto. Religioso entrare prezzo tra.\nConoscere cadere fiume uso. Altro cortile figurare valere.', 'Indicare apparire cattivo aiutare autore attore. Escludere improvviso testa oppure errore fra.\nPerfino permettere moglie gioco accogliere valle. Inutile gesto un bambino conoscenza bruciare.', 'Lettera cristiano calcio villa esercito parecchio inglese restare. Preciso ridere dentro riempire. Perfetto albergo domani posare a.']
['Coscienza braccio uno natura reale suonare dunque inverno. Per ciò procedere giovanotto oppure certamente posare. Perfetto realtà crisi male mattina mangiare.', 'Accendere animale patria zona spesso produrre. Che né consiglio intenzione punta.\nFianco pianura presto chissà. Minuto caro tagliare io. Innamorare mandare quello salvare intero corpo.', 'Errore azzurro specie restare risolvere stanza imporre armare. Porta piazza nazionale raccogliere insistere latte diritto.', 'Discorso minimo considerare avanti speranza folla. Diretto quasi esercito metà giudizio. Fissare provocare antico tranquillo atto lei qualità.\nVilla lei campagna avere bere riguardare.', 'Provare ritornare mestiere letto pericolo. Dente campagna rivelare bere quindi. Crisi stagione zia accendere morte.']
['Futuro pericoloso scusare sposare civile comunque. Celebrare corsa tavolo marito. Desiderio cattivo desiderare giudizio papà.', 'Paese programma sembrare roba. Tuo cosa fabbrica relazione dipendere sostenere.\nFiume colpa affermare o ascoltare. Cielo albergo pensiero allontanare anzi dare piuttosto attendere.', 'Strada morale scomparire vino pronto ricordo.\nImmagine giù abitare cercare. Signorina produrre avanti determinare sereno comunicazione uccidere. Realtà signora nord pure.', 'Rispondere numero divenire. Lavorare qualche guidare. Argomento donna vostro dirigere prendere programma titolo.', 'Smettere seguire ombra argomento civiltà fiume. Pelle favore rivelare ottenere voglia.\nNudo invece finire accompagnare.']
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.texts(nb_texts=5, max_nb_chars=50)
...
['Venire freddo straniero cristiano certamente.', 'Qua grigio sentimento posare.', 'Nazione secondo muro vasto.', 'Parola poesia luce. Preferire casa ci andare.', 'Bianco chiesa processo anzi.']
['Godere genere vino anche. Contenere verità puro.', 'Atto esercito interessare assai libertà.', 'Vendere ascoltare pranzo situazione fiore.', 'Spiegare tedesco piazza giusto poeta circa primo.', 'Potenza opporre straniero solo cattivo.']
['Collo cuore italiano provare potenza spiegare.', 'Cominciare assumere professore.', 'Voce guardia preferire faccia.', 'Campagna piccolo spettacolo durante villa.', 'Dubbio aggiungere animale prendere.']
['Cercare domenica finalmente.', 'Fronte volare carta caldo questione.', 'Guerra ferro impossibile bestia sì.', 'Atteggiamento avvocato repubblica assai.', 'Insomma freddo assumere sostenere.']
['Marito discutere pesare zia.', 'Voi vista chiudere idea.', 'Nascondere tono accordo proporre relazione.', 'Affare sino fianco colore chiudere.', 'Memoria diritto atteggiamento sorgere tu.']
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.texts(nb_texts=5, max_nb_chars=50, ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
['Jkl def def ghi def jkl. Jkl def jkl abc abc.', 'Jkl def ghi jkl ghi def abc def.', 'Ghi def jkl ghi. Ghi jkl def.', 'Def abc def ghi jkl abc ghi. Ghi jkl ghi jkl.', 'Ghi ghi def. Ghi abc abc abc. Jkl jkl ghi def.']
['Def ghi ghi jkl def def abc.', 'Abc abc ghi abc. Ghi jkl ghi abc abc abc jkl.', 'Abc jkl ghi. Abc jkl jkl abc def abc def.', 'Abc jkl abc def ghi jkl jkl abc.', 'Abc jkl ghi abc ghi. Jkl jkl ghi def ghi abc ghi.']
['Ghi ghi jkl jkl abc. Def def ghi abc abc.', 'Def ghi def. Abc abc ghi.', 'Abc jkl jkl def ghi jkl jkl. Jkl def ghi def.', 'Abc ghi jkl def jkl. Def jkl ghi abc.', 'Def abc abc ghi. Def def ghi jkl jkl jkl ghi.']
['Abc def def. Ghi def ghi abc abc jkl.', 'Def jkl ghi. Def def def abc jkl.', 'Ghi jkl jkl ghi def jkl. Abc abc ghi abc.', 'Jkl ghi abc abc abc jkl ghi. Def def abc jkl.', 'Def def ghi jkl. Ghi abc def def jkl.']
['Jkl def jkl def def def. Ghi jkl abc ghi ghi.', 'Def ghi def jkl ghi jkl abc abc.', 'Jkl ghi jkl ghi ghi ghi jkl.', 'Ghi abc jkl abc jkl ghi. Ghi def abc jkl jkl.', 'Def jkl abc abc def. Jkl ghi abc ghi jkl def abc.']
word(part_of_speech: str | None = None, ext_word_list: Sequence[str] | None = None) str

生成一个单词。

This method uses words() under the hood with the nb argument set to 1 to generate the result.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.word()
...
'pregare'
'realtà'
'attività'
'legare'
'suo'
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.word(ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
'jkl'
'jkl'
'abc'
'ghi'
'jkl'
words(nb: int = 3, ext_word_list: List[str] | None = None, part_of_speech: str | None = None, unique: bool = False) List[str]

生成一个单词元组。

nb 参数控制结果列表中的单词数量,如果提供了 ext_word_list,将使用该列表中的单词而不是区域提供者内置单词列表中的单词。

如果未提供 word_list,该方法将使用默认值 None,这将导致该方法调用 get_words_list 方法来获取单词列表。如果提供了 word_list,该方法将使用提供的列表。

如果 uniqueTrue,此方法将返回包含唯一单词的列表。在底层,将使用 random_sample() 进行无放回抽样。如果 uniqueFalse,则使用 random_choices(),返回的列表可能包含重复项。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.words()
...
['sistema', 'ricordare', 'indietro']
['distanza', 'merito', 'gusto']
['rivolgere', 'esperienza', 'luce']
['oh', 'svolgere', 'medio']
['duro', 'ricevere', 'passato']
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.words(nb=5)
...
['sistema', 'ricordare', 'indietro', 'distanza', 'merito']
['gusto', 'rivolgere', 'esperienza', 'luce', 'oh']
['svolgere', 'medio', 'duro', 'ricevere', 'passato']
['dire', 'tacere', 'vista', 'scrivere', 'sud']
['estendere', 'quello', 'su', 'presente', 'lira']
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.words(nb=5, ext_word_list=['abc', 'def', 'ghi', 'jkl'])
...
['jkl', 'jkl', 'def', 'def', 'ghi']
['def', 'jkl', 'def', 'def', 'ghi']
['jkl', 'ghi', 'def', 'jkl', 'ghi']
['def', 'jkl', 'jkl', 'jkl', 'jkl']
['def', 'ghi', 'jkl', 'ghi', 'def']
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.words(nb=4, ext_word_list=['abc', 'def', 'ghi', 'jkl'], unique=True)
...
['jkl', 'def', 'abc', 'ghi']
['jkl', 'def', 'ghi', 'abc']
['ghi', 'jkl', 'abc', 'def']
['ghi', 'abc', 'jkl', 'def']
['def', 'jkl', 'abc', 'ghi']

faker.providers.person

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

Bases: Provider

first_name() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Rosina'
'Orlando'
'Maria'
'Veronica'
'Pierpaolo'
first_name_female() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Lilla'
'Lucrezia'
'Angelina'
'Gabriella'
'Monica'
first_name_male() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Orlando'
'Pierpaolo'
'Annibale'
'Giuliano'
'Tullio'
first_name_nonbinary() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Rosina'
'Orlando'
'Maria'
'Veronica'
'Pierpaolo'
language_name() str

生成一个随机的 i18n 语言名称(例如 English)。

示例:

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

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name()
...
'Pavanello'
'Puglisi'
'Bartoli'
'Guidone'
'Tornatore'
last_name_female() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Pavanello'
'Puglisi'
'Bartoli'
'Guidone'
'Tornatore'
last_name_male() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Pavanello'
'Puglisi'
'Bartoli'
'Guidone'
'Tornatore'
last_name_nonbinary() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Pavanello'
'Puglisi'
'Bartoli'
'Guidone'
'Tornatore'
name() str
示例:

‘John Doe’

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Lucrezia Bartoli'
'Tullio Speri-Pirelli'
'Sandro Odescalchi-Galeati'
'Claudia Lombardo'
'Cesare Gregori'
name_female() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Lucrezia Bartoli'
'Monica Speri'
'Giuseppina Sinisi'
'Ramona Galeati'
'Claudia Lombardo-Cilibrasi'
name_male() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Pierpaolo Bartoli'
'Tullio Speri'
'Leopoldo Sinisi'
'Gian Tiepolo'
'Ignazio Cilibrasi'
name_nonbinary() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Lucrezia Bartoli'
'Tullio Speri-Pirelli'
'Sandro Odescalchi-Galeati'
'Claudia Lombardo'
'Cesare Gregori'
prefix() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
'Sig.'
'Sig.'
'Dott.'
'Sig.'
'Sig.ra'
prefix_female() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
'Sig.ra'
'Sig.ra'
'Dott.'
'Sig.ra'
'Sig.ra'
prefix_male() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
'Sig.'
'Sig.'
'Dott.'
'Sig.'
'Sig.'
prefix_nonbinary() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
'Sig.'
'Sig.'
'Dott.'
'Sig.'
'Sig.ra'
suffix() str
示例:

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

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

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

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

faker.providers.phone_number

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

基类: Provider

area_code() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.area_code()
...
'3534'
'0716'
'0163'
'0521'
'3779'
country_calling_code() str
示例:

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

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

示例:

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

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.phone_number()
...
'32060487679'
'+39 0865242198'
'03311578169'
'+39 377987784'
'+39 3416097531'

faker.providers.ssn

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

Bases: Provider

生成意大利财政代码。

static is_leap_year(year: int) bool

检查给定年份是否为闰年

ssn() str
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ssn()
...
'PGLNNL33P56E360E'
'SNSMCL74D57B499Z'
'CLBCSR79E70F725X'
'MSTBTN93B28H363U'
'SRLCRI45L51G543A'
vat_id() str

http://ec.europa.eu/taxation_customs/vies/faq.html#item_11 :return: 一个随机的意大利增值税 ID

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.vat_id()
...
'IT60487647593'
'IT42194892411'
'IT78156593877'
'IT08016097535'
'IT39332871158'