Locale es_ES¶

`faker.providers.address`¶

class faker.providers.address.es_ES.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()
...
'Callejón Ariadna Torre 84 Piso 9 \nMálaga, 10127'
'Callejón Virginia Collado 21\nLugo, 37687'
'Alameda de Emiliana Fuente 977 Piso 0 \nÁvila, 48166'
'Alameda de Jose Francisco Morell 4\nCiudad, 10338'
'Alameda Sara Verdejo 51\nTeruel, 09179'

administrative_unit() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.administrative_unit()
...
'Jaén'
'Valladolid'
'La Rioja'
'Alicante'
'Córdoba'

autonomous_community() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.autonomous_community()
...
'Comunidad de Madrid'
'Región de Murcia'
'Aragón'
'Cataluña'
'La Rioja'

building_number() → str¶

示例:: ‘791’
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.building_number()
...
'16'
'88'
'84'
'49'
'324'

city() → str¶

示例:: ‘Sashabury’
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.city()
...
'Valladolid'
'Alicante'
'Málaga'
'La Coruña'
'Lugo'

city_suffix() → str¶

示例:: ‘town’
示例:

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

country() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.country()
...
'Líbano'
'Maldivas'
'Australia'
'Georgia'
'Palau'

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()
...
'Spain'
'Spain'
'Spain'
'Spain'
'Spain'

current_country_code() → str¶

示例:

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

postcode() → str¶

示例:: 86039-9874
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.postcode()
...
'26247'
'50673'
'28562'
'03653'
'17968'

region() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.region()
...
'Comunidad de Madrid'
'Región de Murcia'
'Aragón'
'Cataluña'
'La Rioja'

secondary_address() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.secondary_address()
...
'Piso 6'
'Apt. 48'
'Piso 6'
'Piso 7'
'Piso 9'

state() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.state()
...
'Jaén'
'Valladolid'
'La Rioja'
'Alicante'
'Córdoba'

state_name() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.state_name()
...
'Jaén'
'Valladolid'
'La Rioja'
'Alicante'
'Córdoba'

street_address() → str¶

示例:: ‘791 Crist Parks’
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_address()
...
'Calle de Juan Antonio Vidal 56 Piso 5 '
'Cañada Enrique Bustamante 348'
'Avenida Trini Murillo 28 Piso 6 '
'Paseo Albina Salas 940 Apt. 16 '
'Alameda de Jose Francisco Morell 4'

street_name() → str¶

示例:: ‘Crist Parks’
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_name()
...
'Ronda de Apolinar Jove'
'C. de Zaida Mateos'
'Acceso de Dalila Gil'
'Cañada Enrique Bustamante'
'Paseo de Julieta Collado'

street_prefix() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.street_prefix()
...
'C.'
'Ronda'
'Calle'
'Callejón'
'Pasadizo'

street_suffix() → str¶

示例:: ‘Avenue’
示例:

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

`faker.providers.automotive`¶

class faker.providers.automotive.es_ES.Provider(generator: Any)¶

Bases: Provider

Implement automotive provider for es_ES locale.

来源

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

license_plate() → str¶

生成一个车牌。

This method randomly chooses (50/50) between license_plate_unified() or license_plate_by_province() to generate the result.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.license_plate()
...
'8764 SCL'
'8242 PYJ'
'PO 9241 IT'
'ZA 7815 XK'
'8778 NZJ'

license_plate_by_province(province_prefix: str | None = None) → str¶

Generate a provincial license plate.

If a value for province_prefix is provided, the value will be used as the prefix regardless of validity. If None, then a valid prefix will be selected at random.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.license_plate_by_province()
...
'ZA 0487 MN'
'J 5938 JP'
'C 1948 JE'
'SS 4115 VE'
'M 5659 TD'

license_plate_unified() → str¶

Generate a unified license plate.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.license_plate_unified()
...
'4876 RSC'
'9382 MVP'
'9489 MGF'
'1578 GMF'
'5938 FPS'

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.es_ES.Provider(generator: Any)¶

Bases: Provider

Implement bank provider for es_ES 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()
...
'ES'
'ES'
'ES'
'ES'
'ES'

bban() → str¶

Generate a Basic Bank Account Number (BBAN).

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.bban()
...
'66048764759382421948'
'92411578156593877840'
'80160975351393328711'
'58714841858398947196'
'59342320947112201868'

iban() → str¶

Generate an International Bank Account Number (IBAN).

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.iban()
...
'ES1266048764759382421948'
'ES0392411578156593877840'
'ES9680160975351393328711'
'ES2658714841858398947196'
'ES6659342320947112201868'

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()
...
'YNBIES65ZT4'
'SGQEESSIGQ8'
'JDXCESV4'
'LNKTESN9'
'OQIBES9AFZA'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=8)
...
'MYNBESQ6'
'PMZJES4W'
'SGQEESSI'
'YDTZESQ8'
'WZTEESTG'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=8, use_dataset=True)
...
'MYNBESQ6'
'PMZJES4W'
'SGQEESSI'
'YDTZESQ8'
'WZTEESTG'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11)
...
'MYNBESQ65ZT'
'PLSGES6ISIG'
'TZIRESJTGEV'
'PRDLES1UN94'
'OQIBES9AFZA'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11, primary=True)
...
'MYNBESQ6XXX'
'PMZJES4WXXX'
'SGQEESSIXXX'
'YDTZESQ8XXX'
'WZTEESTGXXX'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11, use_dataset=True)
...
'MYNBESQ65ZT'
'PLSGES6ISIG'
'TZIRESJTGEV'
'PRDLES1UN94'
'OQIBES9AFZA'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift(length=11, primary=True, use_dataset=True)
...
'MYNBESQ6XXX'
'PMZJES4WXXX'
'SGQEESSIXXX'
'YDTZESQ8XXX'
'WZTEESTGXXX'

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()
...
'MYNBESQ65ZT'
'PLSGES6ISIG'
'TZIRESJTGEV'
'PRDLES1UN94'
'OQIBES9AFZA'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift11(use_dataset=True)
...
'MYNBESQ65ZT'
'PLSGES6ISIG'
'TZIRESJTGEV'
'PRDLES1UN94'
'OQIBES9AFZA'

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()
...
'MYNBESQ6'
'PMZJES4W'
'SGQEESSI'
'YDTZESQ8'
'WZTEESTG'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.swift8(use_dataset=True)
...
'MYNBESQ6'
'PMZJES4W'
'SGQEESSI'
'YDTZESQ8'
'WZTEESTG'

`faker.providers.barcode`¶

class faker.providers.barcode.es_ES.Provider(generator: Any)¶

Bases: Provider

Implement barcode provider for es_ES locale.

来源

https://gs1.org/standards/id-keys/company-prefix

ean(length: int = 13, prefixes: Tuple[int | str | Tuple[int | str, ...], ...] = ()) → str¶

生成指定 length 长度的 EAN 条形码。

length 的值只能是 8 或 13（默认值），分别创建 EAN-8 或 EAN-13 条形码。

如果指定了 prefixes 的值，则结果将以 prefixes 中的某个序列开头。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ean(length=13)
...
'6604876475937'
'8242194892418'
'1578156593879'
'7840801609759'
'3513933287112'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ean(length=8)
...
'66048763'
'47593824'
'42194897'
'24115780'
'15659385'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ean(prefixes=('00', ))
...
'0004876475931'
'0019489241156'
'0056593877840'
'0016097535134'
'0087115871480'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ean(prefixes=('45', '49'))
...
'4504876475932'
'4919489241155'
'4556593877841'
'4516097535135'
'4987115871489'

ean13(prefixes: Tuple[int | str | Tuple[int | str, ...], ...] = ()) → str¶

生成 EAN-13 条形码。

This method uses ean() under the hood with the length argument explicitly set to 13.

如果指定了 prefixes 的值，则结果将以 prefixes 中的某个序列开头。

注意

Codes starting with a leading zero are treated specially in some barcode readers. For more information on compatibility with UPC-A codes, see EnUsBarcodeProvider.ean13().

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ean13()
...
'6604876475937'
'8242194892418'
'1578156593879'
'7840801609759'
'3513933287112'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ean13(prefixes=('00', ))
...
'0004876475931'
'0019489241156'
'0056593877840'
'0016097535134'
'0087115871480'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ean13(prefixes=('45', '49'))
...
'4504876475932'
'4919489241155'
'4556593877841'
'4516097535135'
'4987115871489'

ean8(prefixes: Tuple[int | str | Tuple[int | str, ...], ...] = ()) → str¶

生成 EAN-8 条形码。

This method uses ean() under the hood with the length argument explicitly set to 8.

如果指定了 prefixes 的值，则结果将以 prefixes 中的某个序列开头。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ean8()
...
'66048763'
'47593824'
'42194897'
'24115780'
'15659385'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ean8(prefixes=('00', ))
...
'00048767'
'00938242'
'00489249'
'00781565'
'00877848'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ean8(prefixes=('45', '49'))
...
'49048766'
'45938245'
'45489242'
'49781564'
'45877841'

localized_ean(length: int = 13) → str¶

生成指定 length 长度的本地化 EAN 条形码。

length 的值只能是 8 或 13（默认值），分别创建 EAN-8 或 EAN-13 条形码。

This method uses the standard barcode provider’s ean() under the hood with the prefixes argument explicitly set to local_prefixes of a localized barcode provider implementation.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.localized_ean()
...
'8404876475931'
'8419489241156'
'8456593877840'
'8416097535134'
'8487115871480'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.localized_ean(length=13)
...
'8404876475931'
'8419489241156'
'8456593877840'
'8416097535134'
'8487115871480'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.localized_ean(length=8)
...
'84048769'
'84938244'
'84489241'
'84781567'
'84877840'

localized_ean13() → str¶

生成本地化 EAN-13 条形码。

This method uses localized_ean() under the hood with the length argument explicitly set to 13.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.localized_ean13()
...
'8404876475931'
'8419489241156'
'8456593877840'
'8416097535134'
'8487115871480'

localized_ean8() → str¶

生成本地化 EAN-8 条形码。

This method uses localized_ean() under the hood with the length argument explicitly set to 8.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.localized_ean8()
...
'84048769'
'84938244'
'84489241'
'84781567'
'84877840'

`faker.providers.color`¶

class faker.providers.color.es_ES.Provider(generator: Any)¶

Bases: Provider

以人性化的方式生成颜色。

在底层，此方法首先创建一个以 HSV 颜色模型表示的颜色，然后将其转换为所需的 color_format。参数 hue 根据以下规则控制 H 值：

如果值是介于 0 到 360 之间的数字，它将用作生成颜色的 H 值。
如果值是介于 0 到 360 之间的两个数字的元组/列表，则颜色的 H 值将从该范围中随机选择。
如果值是有效的字符串，则颜色的 H 值将从与所提供字符串对应的 H 范围中随机选择。有效值包括 'monochrome'、'red'、'orange'、'yellow'、'green'、'blue'、'purple' 和 'pink'。

参数 luminosity 影响 S 和 V 值，并且部分受 hue 的影响。这种关系的具体细节有些复杂，如果您想深入了解，请参考源代码。为了保持接口简单，此参数可以省略，也可以接受以下字符串值：'bright'、'dark'、'light' 或 'random'。

参数 color_format 控制颜色以哪种颜色模型表示。有效值包括 'hsv'、'hsl'、'rgb' 或 'hex'（默认值）。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color(hue='red')
...
'#af2f33'
'#e02141'
'#ef6466'
'#a80a14'
'#ed9e95'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color(luminosity='light')
...
'#79c3e0'
'#89ffa1'
'#96cbf7'
'#aafaff'
'#e3f495'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color(hue=(100, 200), color_format='rgb')
...
'rgb(26, 155, 88)'
'rgb(9, 193, 49)'
'rgb(73, 229, 154)'
'rgb(107, 249, 166)'
'rgb(76, 204, 69)'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color(hue='orange', luminosity='bright')
...
'#efc332'
'#edae65'
'#d1861d'
'#ffcc42'
'#e09533'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color(hue=135, luminosity='dark', color_format='hsv')
...
'hsv(135, 96, 45)'
'hsv(135, 98, 57)'
'hsv(135, 94, 61)'
'hsv(135, 99, 47)'
'hsv(135, 94, 50)'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color(hue=(300, 20), luminosity='random', color_format='hsl')
...
'hsl(217, 94, 27)'
'hsl(40, 23, 54)'
'hsl(268, 100, 74)'
'hsl(175, 43, 31)'
'hsl(131, 47, 11)'

生成一个 HSL 颜色元组。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_hsl()
...
(197, 57, 32)
(132, 90, 39)
(207, 76, 65)
(183, 88, 33)
(258, 62, 73)

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_hsl(hue='red', luminosity='dark')
...
(358, 92, 27)
(350, 96, 33)
(359, 88, 36)
(356, 98, 28)
(6, 85, 34)

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_hsl(hue=(100, 200), luminosity='random')
...
(149, 94, 27)
(105, 23, 54)
(162, 100, 74)
(138, 43, 31)
(174, 19, 55)

生成一个 HSV 颜色元组。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_hsv()
...
(197, 73, 51)
(132, 95, 76)
(207, 58, 92)
(183, 94, 64)
(258, 37, 90)

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_hsv(hue='red', luminosity='dark')
...
(358, 96, 53)
(350, 98, 66)
(359, 94, 68)
(356, 99, 56)
(6, 92, 63)

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_hsv(hue=(100, 200), luminosity='random')
...
(149, 97, 53)
(105, 33, 65)
(162, 51, 100)
(138, 61, 45)
(174, 27, 64)

color_name() → str¶

生成一个颜色名称。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_name()
...
'Rojo'
'Rosa brumoso'
'Amarillo verde'
'Gris gainsboro (Estaño)'
'Verde prado'

生成一个整数 RGB 颜色元组。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_rgb()
...
(35, 103, 130)
(9, 193, 46)
(98, 173, 234)
(9, 155, 163)
(170, 144, 229)

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_rgb(hue='red', luminosity='dark')
...
(135, 5, 9)
(168, 3, 30)
(173, 10, 13)
(142, 1, 10)
(160, 27, 12)

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_rgb(hue=(100, 200), luminosity='random')
...
(4, 135, 67)
(124, 165, 111)
(124, 255, 215)
(44, 114, 65)
(119, 163, 158)

生成一个浮点数 RGB 颜色元组。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_rgb_float()
...
(0.13770000000000002, 0.4045149999999999, 0.51)
(0.038000000000000034, 0.76, 0.18239999999999984)
(0.3864000000000001, 0.6798800000000002, 0.92)
(0.03840000000000004, 0.6099200000000001, 0.64)
(0.6668999999999999, 0.5670000000000001, 0.9)

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_rgb_float(hue='red', luminosity='dark')
...
(0.53, 0.02120000000000002, 0.03815999999999998)
(0.66, 0.013200000000000012, 0.12100000000000023)
(0.68, 0.04080000000000004, 0.05145333333333333)
(0.56, 0.005600000000000005, 0.042559999999999855)
(0.63, 0.10835999999999996, 0.05039999999999997)

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.color_rgb_float(hue=(100, 200), luminosity='random')
...
(0.015900000000000015, 0.53, 0.2643816666666667)
(0.489125, 0.65, 0.43549999999999994)
(0.49, 1.0, 0.8470000000000001)
(0.17550000000000002, 0.45, 0.2578500000000001)
(0.4672, 0.64, 0.62272)

hex_color() → str¶

生成一个十六进制三元组格式的颜色。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.hex_color()
...
'#d82c08'
'#629f70'
'#c2094d'
'#e3e707'
'#6baa95'

rgb_color() → str¶

生成一个逗号分隔的 RGB 值格式的颜色。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.rgb_color()
...
'197,215,20'
'132,248,207'
'155,244,183'
'111,71,144'
'71,48,128'

rgb_css_color() → str¶

生成一个 CSS rgb() 函数格式的颜色。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.rgb_css_color()
...
'rgb(197,215,20)'
'rgb(132,248,207)'
'rgb(155,244,183)'
'rgb(111,71,144)'
'rgb(71,48,128)'

safe_color_name() → str¶

生成一个网络安全颜色名称。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.safe_color_name()
...
'azul'
'blanco'
'azul'
'negro'
'violeta'

safe_hex_color() → str¶

生成一个十六进制三元组格式的网络安全颜色。

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.safe_hex_color()
...
'#ccdd11'
'#88ffcc'
'#99ffbb'
'#664499'
'#443388'

`faker.providers.company`¶

class faker.providers.company.es_ES.Provider(generator: Any)¶

Bases: Provider

Provider for company names for es_ES locale

Company naming scheme and probabilities are inspired by and/or based on existing companies in Spain.

Sources: - https://en.wikipedia.org/wiki/List_of_legal_entity_types_by_country - https://ranking-empresas.eleconomista.es/ranking_empresas_nacional.html

bs() → str¶

示例:: ‘integrate extensible convergence’
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.bs()
...
'iterate integrated e-markets'
'integrate back-end mindshare'
'synthesize wireless content'
'syndicate synergistic applications'
'productize killer mindshare'

catch_phrase() → str¶

示例:: ‘Robust full-range hub’
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.catch_phrase()
...
'Networked well-modulated instruction set'
'Balanced empowering migration'
'Pre-emptive impactful toolset'
'Innovative mission-critical help-desk'
'Reduced didactic middleware'

company() → str¶

示例:: ‘Acme Ltd’
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company()
...
'Rivero y Arjona S.C.P'
'Sandalio Mateos Tapia S.Com.'
'Desarrollo Inteligentes S.A.'
'Infraestructuras ZQUQ S.L.'
'Suarez & Asociados S.Com.'

company_prefix() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_prefix()
...
'Hnos'
'Hnos'
'Familia'
'Hermanos'
'Hnos'

company_suffix() → str¶

示例:: ‘Ltd’
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'S.L.L.'
'S.L.'
'S.Com.'
'S.C.P'
'S.Coop.'

company_type() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_type()
...
'Restauración'
'Soluciones'
'Banco'
'Infraestructuras'
'Transportes'

random_company_acronym() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.random_company_acronym()
...
'NVN'
'ZVRY'
'EVA'
'HEP'
'ZQUQ'

random_company_adjective() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.random_company_adjective()
...
'del Mediterráneo'
'del Noroeste'
'Castellana'
'Integrales'
'del Sur'

random_name_complements() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.random_name_complements()
...
'y asociados'
'y asociados'
'& Asociados'
'y asociados'
'y asociados'

`faker.providers.currency`¶

class faker.providers.currency.es_ES.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', 'Kwacha malauí')
('NZD', 'Dólar neozelandés')
('BAM', 'Marco bosnioherzegovino')
('IRR', 'Rial iraní')
('SPL', '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()
...
'Kwacha malauí'
'Dólar neozelandés'
'Marco bosnioherzegovino'
'Rial iraní'
'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() → str¶

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.es_ES.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'

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'

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)

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)

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, 33, 725389)
datetime.datetime(2012, 5, 31, 1, 49, 37, 759173)
datetime.datetime(1993, 7, 14, 15, 27, 40, 6897)
datetime.datetime(1984, 6, 27, 17, 48, 22, 231549)
datetime.datetime(1998, 8, 11, 10, 27, 5, 758299)

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, 29, 195244)
datetime.datetime(1535, 10, 30, 1, 55, 51, 642540)
datetime.datetime(852, 8, 21, 17, 50, 32, 50888)
datetime.datetime(525, 4, 18, 19, 55, 3, 201401)
datetime.datetime(1036, 4, 23, 18, 52, 46, 750504)

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, 24, 236214)
datetime.datetime(2018, 9, 11, 20, 43, 10, 808743)
datetime.datetime(2008, 7, 29, 2, 12, 51, 361449)
datetime.datetime(2003, 9, 22, 19, 23, 27, 49189)
datetime.datetime(2011, 4, 18, 22, 40, 23, 171082)

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, 41)
datetime.datetime(2025, 12, 16, 0, 7, 41)
datetime.datetime(2025, 12, 16, 0, 7, 41)
datetime.datetime(2025, 12, 16, 0, 7, 41)
datetime.datetime(2025, 12, 16, 0, 7, 41)

>>> 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, 24, 236214)
datetime.datetime(2018, 9, 11, 20, 43, 10, 808743)
datetime.datetime(2008, 7, 29, 2, 12, 51, 361449)
datetime.datetime(2003, 9, 22, 19, 23, 27, 49189)
datetime.datetime(2011, 4, 18, 22, 40, 23, 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, 38, 441207)
datetime.datetime(2026, 9, 18, 20, 10, 27, 993625)
datetime.datetime(2026, 5, 18, 14, 45, 27, 345382)
datetime.datetime(2026, 3, 20, 13, 43, 48, 534973)
datetime.datetime(2026, 6, 20, 17, 50, 22, 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, 2, 98770)
datetime.datetime(2019, 9, 4, 4, 4, 25, 402513)
datetime.datetime(2010, 12, 1, 10, 35, 37, 122365)
datetime.datetime(2006, 9, 20, 18, 59, 10, 263805)
datetime.datetime(2013, 4, 9, 9, 33, 38, 414402)

>>> 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, 21, 69916)
datetime.datetime(2082, 1, 29, 2, 53, 2, 220376)
datetime.datetime(2057, 2, 4, 22, 34, 55, 800383)
datetime.datetime(2045, 2, 16, 3, 33, 54, 640717)
datetime.datetime(2063, 10, 24, 21, 59, 17, 291799)

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, 41, 665032)
datetime.datetime(2024, 7, 7, 7, 30, 28, 77935)
datetime.datetime(2022, 7, 4, 3, 59, 2, 737815)
datetime.datetime(2021, 7, 17, 9, 42, 5, 482901)
datetime.datetime(2023, 1, 17, 12, 52, 35, 473162)

>>> 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, 8, 575822)
datetime.datetime(2029, 1, 8, 11, 59, 55, 214561)
datetime.datetime(2027, 8, 29, 4, 29, 44, 146752)
datetime.datetime(2027, 1, 2, 10, 10, 33, 111164)
datetime.datetime(2028, 1, 10, 3, 43, 44, 65421)

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, 5, 59, 998050)
datetime.datetime(2025, 12, 12, 8, 57, 38, 323190)
datetime.datetime(2025, 12, 7, 7, 27, 34, 652256)
datetime.datetime(2025, 12, 4, 21, 14, 35, 469002)
datetime.datetime(2025, 12, 8, 16, 7, 27, 736540)

>>> 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, 40, 489075)
datetime.datetime(2025, 12, 28, 3, 5, 7, 749645)
datetime.datetime(2025, 12, 22, 17, 34, 25, 269842)
datetime.datetime(2025, 12, 20, 3, 31, 8, 154983)
datetime.datetime(2025, 12, 24, 4, 23, 31, 477173)

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, 8, 20619)
datetime.datetime(2025, 9, 22, 12, 43, 23, 301481)
datetime.datetime(2025, 5, 27, 18, 45, 41, 103240)
datetime.datetime(2025, 4, 1, 8, 43, 11, 482256)
datetime.datetime(2025, 6, 28, 10, 30, 9, 135907)

>>> 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, 40, 489075)
datetime.datetime(2025, 12, 28, 3, 5, 7, 749645)
datetime.datetime(2025, 12, 22, 17, 34, 25, 269842)
datetime.datetime(2025, 12, 20, 3, 31, 8, 154983)
datetime.datetime(2025, 12, 24, 4, 23, 31, 477173)

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()
...
'domingo'
'jueves'
'miércoles'
'miércoles'
'martes'

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)

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, 42, 594731)
datetime.datetime(2026, 1, 7, 17, 51, 19, 54467)
datetime.datetime(2025, 12, 28, 14, 56, 23, 116942)
datetime.datetime(2025, 12, 23, 18, 32, 53, 957843)
datetime.datetime(2025, 12, 31, 8, 14, 45, 566513)

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.future_datetime(end_date='+1y')
...
datetime.datetime(2026, 10, 20, 10, 7, 38, 596785)
datetime.datetime(2026, 9, 18, 20, 10, 28, 235670)
datetime.datetime(2026, 5, 18, 14, 45, 27, 924810)
datetime.datetime(2026, 3, 20, 13, 43, 49, 276056)
datetime.datetime(2026, 6, 20, 17, 50, 22, 894428)

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()
...
'2017-04-02T07:09:33.725389'
'2012-05-31T01:49:37.759173'
'1993-07-14T15:27:40.006897'
'1984-06-27T17:48:22.231549'
'1998-08-11T10:27:05.758299'

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()
...
'abril'
'mayo'
'julio'
'junio'
'agosto'

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)

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, 41, 594731)
datetime.datetime(2025, 12, 8, 17, 51, 18, 54467)
datetime.datetime(2025, 11, 28, 14, 56, 22, 116942)
datetime.datetime(2025, 11, 23, 18, 32, 52, 957843)
datetime.datetime(2025, 12, 1, 8, 14, 44, 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')

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()
...
'07:09:33'
'01:49:37'
'15:27:40'
'17:48:22'
'10:27:05'

>>> 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'

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)

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, 33, 725389)
datetime.time(1, 49, 37, 759173)
datetime.time(15, 27, 40, 6897)
datetime.time(17, 48, 22, 231549)
datetime.time(10, 27, 5, 758299)

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.time_object(end_datetime='+1h')
...
datetime.time(8, 0, 13, 644055)
datetime.time(2, 35, 6, 395024)
datetime.time(15, 52, 54, 64588)
datetime.time(18, 3, 54, 331850)
datetime.time(10, 57, 46, 347296)

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 0x7db954b8a3b0>
<generator object Provider.time_series at 0x7db954b8a3b0>
<generator object Provider.time_series at 0x7db954b8a3b0>
<generator object Provider.time_series at 0x7db954b8a3b0>
<generator object Provider.time_series at 0x7db954b8a3b0>

timezone() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.timezone()
...
'Indian/Maldives'
'America/Barbados'
'Europe/Stockholm'
'Africa/Windhoek'
'Asia/Qatar'

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_datetime 或 end_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()
...
1491116973.7253895
1338428977.759173
742663660.0068967
457206502.2315492
902831225.7582986

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.es_ES.Provider(generator: Any)¶

Bases: Provider

ascii_company_email() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_company_email()
...
'crivero@transportes.es'
'annachaparro@desarrollo.com'
'conrado15@charo.net'
'hsalas@comercial.es'
'uriartepastora@hervas.com'

ascii_email() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_email()
...
'qarjona@hotmail.com'
'emateos@yahoo.com'
'lopechaves@infraestructuras.es'
'oterotono@yahoo.com'
'hsalas@comercial.es'

ascii_free_email() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_free_email()
...
'crivero@yahoo.com'
'yquiros@yahoo.com'
'lpalma@gmail.com'
'lopechaves@gmail.com'
'virginia89@gmail.com'

ascii_safe_email() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ascii_safe_email()
...
'crivero@example.com'
'yquiros@example.com'
'lpalma@example.org'
'lopechaves@example.org'
'virginia89@example.org'

company_email() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_email()
...
'crivero@transportes.es'
'annachaparro@desarrollo.com'
'conrado15@charo.net'
'hsalas@comercial.es'
'uriartepastora@hervas.com'

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'
'uqniukqjckmjabijnuqho.com'

domain_name(levels: int = 1) → str¶

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

>>> domain_name()
nichols-phillips.com
>>> domain_name(2)
williamson-hopkins.jackson.com

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.domain_name()
...
'rivero.es'
'mateos.net'
'instalaciones.org'
'inversiones.es'
'charo.net'

domain_word() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.domain_word()
...
'rivero'
'sandalio'
'desarrollo'
'infraestructuras'
'suarez'

email(safe: bool = True, domain: str | None = None) → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.email()
...
'crivero@example.com'
'yquiros@example.com'
'lpalma@example.org'
'lopechaves@example.org'
'virginia89@example.org'

free_email() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.free_email()
...
'crivero@yahoo.com'
'yquiros@yahoo.com'
'lpalma@gmail.com'
'lopechaves@gmail.com'
'virginia89@gmail.com'

free_email_domain() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.free_email_domain()
...
'yahoo.com'
'yahoo.com'
'gmail.com'
'yahoo.com'
'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.hermanos.org'
'laptop-59.desarrollo.com'
'lt-48.inversiones.es'
'laptop-81.rovira.net'
'lt-77.comercial.es'

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()
...
'crivero@example.com'
'yquiros@example.com'
'lpalma@example.org'
'lopechaves@example.org'
'virginia89@example.org'

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()
...
'es'
'es'
'com'
'org'
'es'

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://mateos.net/categorylogin.jsp'
'http://inversiones.es/mainfaq.htm'
'https://www.venceslas.com/tag/tagsmain.asp'
'http://logistica.net/posts/blog/appregister.php'
'http://www.inversiones.org/tag/app/searchlogin.jsp'

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://hermanos.org/'
'https://desarrollo.com/'
'https://www.construccion.com/'
'https://fuente.org/'
'http://www.servicios.net/'

user_name() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.user_name()
...
'crivero'
'ariadna76'
'albina59'
'annachaparro'
'enrique19'

`faker.providers.isbn`¶

class faker.providers.isbn.es_ES.Provider(generator: Any)¶

Bases: Provider

isbn10(separator: str = '-') → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.isbn10()
...
'13--0487647-0'
'84-8242-194-8'
'13--1157815-3'
'13--9387784-2'
'84-16097-53-4'

isbn13(separator: str = '-') → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.isbn13()
...
'978-13--0487647-8'
'978-84-8242-194-0'
'978-13--1157815-0'
'978-13--9387784-4'
'978-84-16097-53-1'

`faker.providers.job`¶

class faker.providers.job.es_ES.Provider(generator: Any)¶

Bases: Provider

job() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.job()
...
'Técnico en asistencia al usuario de tecnología de la información y las comunicaciones'
'Geólogo'
'Recolector de basura y material reciclable'
'Trabajador comunitario de la salud'
'Ingeniero de minas'

job_female() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.job_female()
...
'Técnico en asistencia al usuario de tecnología de la información y las comunicaciones'
'Geólogo'
'Recolector de basura y material reciclable'
'Trabajador comunitario de la salud'
'Ingeniero de minas'

job_male() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.job_male()
...
'Técnico en asistencia al usuario de tecnología de la información y las comunicaciones'
'Geólogo'
'Recolector de basura y material reciclable'
'Trabajador comunitario de la salud'
'Ingeniero de minas'

`faker.providers.lorem`¶

class faker.providers.lorem.es_ES.Provider(generator: Any)¶

Bases: Provider

Implement lorem provider for es_ES locale.

来源

https://corpus.rae.es/frec/1000_formas.TXT

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 unique 为 True，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)
...
'Dos peor capacidad grado s arriba. B pequeña prensa da estuvo secretario. Rafael época ejército clase algunos. Marcha pp tiempos mes. Libro mal pensar noche.'
'Paz políticos ni grado profesional sí prueba. La central santiago unas voz comercio tener sol. Precio otras ministerio ella niveles. Somos valor manos cabeza hecho luz material. Pablo productos energía imagen especialmente. Trata número tras informe este máximo.'
'Tiempo permite momento días ser aunque ambiente. Hechos aumento crisis duda cambio ejemplo permite. Cine interés línea n asimismo cuadro. Voz mayor respuesta iba.'
'Su meses ejército amor partido. Cámara mundo algunos ve muy partidos. Clase cada hecho social s algo ella. Todo como rosa cosas.'
'Fuera felipe pone más ir año carlos. Ese casos cultura así niño. Mundo vuelve nuestro ellas régimen aumento grado embargo.'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.paragraph(nb_sentences=5, variable_nb_sentences=False)
...
'Acerca europa cinco diez producción programas. Arriba últimos socialista estados madrid. Estuvo secretario obra armas. Rodríguez propio marcha pp tiempos mes mundo principio. Pensar noche seguir paz políticos ni grado profesional.'
'Escuela última tales existencia. P técnica luz. Enfermedad ni asimismo países precio otras. Datos aunque respecto universidad hermano nada causa. Queda cuba televisión pablo.'
'Queda podría ella tenían trata número tras informe. Decía lucha nuestros. Permite momento días ser. Pp carne encuentra niños. Muchas local parís cama función martín cine.'
'Figura república i noviembre últimos voz mayor. Origen solución sociedad régimen unos nadie producto luz. Mundo algunos ve muy. Económico obstante clase cada hecho social s. Niños único conseguir todo.'
'Muchos blanca formación. Fuera felipe pone más ir año carlos. Ese casos cultura así niño. Mundo vuelve nuestro ellas régimen aumento grado embargo. Piel vez poner solución aquella.'

>>> 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)
...
['Dos peor capacidad grado s arriba. B pequeña prensa da estuvo secretario. Rafael época ejército clase algunos.', 'Pp tiempos mes mundo. Mal pensar noche seguir paz políticos.', 'Profesional sí prueba seguro memoria hubo p. Unas voz comercio tener sol eran.', 'Datos aunque respecto universidad hermano nada causa. Queda cuba televisión pablo.', 'Energía imagen especialmente buen fuentes cabeza manera. Este máximo carlos tiempo. Junio carne pese pp. Hechos aumento crisis duda cambio ejemplo permite.']
['Hora figura república i noviembre últimos voz mayor. Origen solución sociedad régimen unos nadie producto luz. Mundo algunos ve muy.', 'Clase cada hecho social s algo ella. Todo como rosa cosas. Posibilidad principales nos permite.', 'Quizá encontrar tiempo ese casos cultura. Estamos son mundo vuelve. Carlos lópez futuro rodríguez habría.', 'Expresión primer estas varias. Rey arte pueden mes.', 'Temas asimismo suelo razón lucha casi amigo. Construcción éste muy don estar jamás propia. Plaza función área adelante esto.']
['Actitud título aunque podemos derecha medio. Oficial interior militares jóvenes idea.', 'Base pocos años imagen cinco pasado decisión. Pequeña españoles de ser paso democracia está. He premio lleva hace baja diversas.', 'Mal nuestra región que unidad decisión. Tener evitar dentro nivel. Mundo salida servicio esa.', 'Felipe mayor modo resulta vuelta siquiera presidente. Dar es dos argentina.', 'Sistemas diversos armas también deja habrá. Momentos rodríguez pensar policía pasar parece respuesta. Lugar mañana orden.']
['Orden quizá también tenía. Junto comisión hacen cuanto estaban estar desde fueron. Fernando nivel g dicho nada importancia cerca.', 'Hecho mayor organización esta iba puedo. Has formas zona animales. Él otra dejó nos.', 'Dinero juego consejo valor.', 'Relaciones fuerza vuelve hombres fácil. Sistema presidente unidad adelante ha próximo. Les hijo parece fue siguientes. Natural contra edad tengo llamado.', 'J todas camino análisis marco comunidad asimismo real. Términos opinión temas ministerio reforma del ejército.']
['Cuando todas modo programas pese b. Uno otra zonas son tarde dos una. Mercado va todas siete generales prensa abril.', 'Partidos viene puerto. Torno sean victoria aún presente favor tales resultados. Importantes mí entrar lo considera construcción.', 'Habría luz central información tales psoe campo. Ni república mientras unidos s yo.', 'Base siguiente oposición región plaza política diversas.', 'P saber años. Diferencia lo domingo esto sé i suelo. Campo riesgo aire razones actividades.']

>>> 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)
...
'Acerca europa cinco diez producción programas podía nuestros b pequeña.'
'Madrid madrid dijo atrás rafael época ejército clase algunos según cada capaz.'
'Mes mundo principio mesa humana piel nuestros señora hombres puerto.'
'Profesional sí prueba seguro memoria hubo p técnica luz marcha enfermedad ni asimismo.'
'Eran arriba precio datos aunque respecto universidad hermano.'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.sentence(nb_words=10, variable_nb_words=False)
...
'Exterior acerca europa cinco diez producción programas podía nuestros b.'
'Pequeña prensa da estuvo secretario obra armas noviembre supuesto rodríguez.'
'Propio marcha pp tiempos mes mundo principio mesa humana piel.'
'Nuestros señora hombres puerto pasa no escuela última tales existencia.'
'La central santiago unas voz comercio tener sol eran arriba.'

>>> 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()
...
['Acerca europa cinco diez producción programas.', 'Arriba últimos socialista estados madrid.', 'Estuvo secretario obra armas.']
['Rodríguez propio marcha pp tiempos mes mundo principio.', 'Pensar noche seguir paz políticos ni grado profesional.', 'Escuela última tales existencia.']
['P técnica luz.', 'Enfermedad ni asimismo países precio otras.', 'Datos aunque respecto universidad hermano nada causa.']
['Queda cuba televisión pablo.', 'Queda podría ella tenían trata número tras informe.', 'Decía lucha nuestros.']
['Permite momento días ser.', 'Pp carne encuentra niños.', 'Muchas local parís cama función martín cine.']

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.sentences(nb=5)
...
['Acerca europa cinco diez producción programas.', 'Arriba últimos socialista estados madrid.', 'Estuvo secretario obra armas.', 'Rodríguez propio marcha pp tiempos mes mundo principio.', 'Pensar noche seguir paz políticos ni grado profesional.']
['Escuela última tales existencia.', 'P técnica luz.', 'Enfermedad ni asimismo países precio otras.', 'Datos aunque respecto universidad hermano nada causa.', 'Queda cuba televisión pablo.']
['Queda podría ella tenían trata número tras informe.', 'Decía lucha nuestros.', 'Permite momento días ser.', 'Pp carne encuentra niños.', 'Muchas local parís cama función martín cine.']
['Figura república i noviembre últimos voz mayor.', 'Origen solución sociedad régimen unos nadie producto luz.', 'Mundo algunos ve muy.', 'Económico obstante clase cada hecho social s.', 'Niños único conseguir todo.']
['Muchos blanca formación.', 'Fuera felipe pone más ir año carlos.', 'Ese casos cultura así niño.', 'Mundo vuelve nuestro ellas régimen aumento grado embargo.', 'Piel vez poner solución aquella.']

>>> 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。

The max_nb_chars argument controls the approximate number of characters the text string will have, and depending on its value, this method may use either words(), sentences(), or paragraphs() for text generation. The ext_word_list argument works in exactly the same way it would in any of those methods.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.text(max_nb_chars=20)
...
'Señora comisión.'
'Esfuerzo salud.'
'Algunas destino.'
'Organización.'
'Pacientes precio.'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.text(max_nb_chars=80)
...
'Acerca europa cinco diez producción programas.'
'Estuvo secretario obra armas.'
'Pensar noche seguir paz políticos ni grado profesional.'
'P técnica luz. Enfermedad ni asimismo países precio otras.'
'Queda cuba televisión pablo.'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.text(max_nb_chars=160)
...
'Dos peor capacidad grado s arriba. B pequeña prensa da estuvo secretario. Rafael época ejército clase algunos.'
'Profesional sí prueba seguro memoria hubo p. Unas voz comercio tener sol eran.'
'Energía imagen especialmente buen fuentes cabeza manera. Este máximo carlos tiempo. Junio carne pese pp. Hechos aumento crisis duda cambio ejemplo permite.'
'Clase cada hecho social s algo ella. Todo como rosa cosas. Posibilidad principales nos permite.'
'Expresión primer estas varias. Rey arte pueden mes.'

>>> 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)
...
['Dos peor capacidad grado s arriba. B pequeña prensa da estuvo secretario. Rafael época ejército clase algunos.\nPp tiempos mes mundo. Mal pensar noche seguir paz políticos.', 'Datos aunque respecto universidad hermano nada causa. Queda cuba televisión pablo.', 'Hora figura república i noviembre últimos voz mayor. Origen solución sociedad régimen unos nadie producto luz. Mundo algunos ve muy.', 'Quizá encontrar tiempo ese casos cultura. Estamos son mundo vuelve. Carlos lópez futuro rodríguez habría.\nExpresión primer estas varias. Rey arte pueden mes.', 'Actitud título aunque podemos derecha medio. Oficial interior militares jóvenes idea.']
['Mal nuestra región que unidad decisión. Tener evitar dentro nivel. Mundo salida servicio esa.\nFelipe mayor modo resulta vuelta siquiera presidente. Dar es dos argentina.', 'Orden quizá también tenía. Junto comisión hacen cuanto estaban estar desde fueron. Fernando nivel g dicho nada importancia cerca.', 'Dinero juego consejo valor.\nRelaciones fuerza vuelve hombres fácil. Sistema presidente unidad adelante ha próximo. Les hijo parece fue siguientes. Natural contra edad tengo llamado.', 'Cuando todas modo programas pese b. Uno otra zonas son tarde dos una. Mercado va todas siete generales prensa abril.', 'Habría luz central información tales psoe campo. Ni república mientras unidos s yo.\nBase siguiente oposición región plaza política diversas.']
['Mismos orden hecho acto parecía expresión mucho ii. Profesional tribunal argentina supuesto juego. Ser presencia amor tener persona.', 'Menos juez corazón sin. Salud dado serie entrar voz través m. Ellas si segunda del.\nMismo aparece parece noche pie diversos. Actitud luis francia hermano.', 'Ayuda tras flores antes salir luego presenta. Película mal sociedad mitad.\nAmbos años esto lo después cada. Cierto dado jorge principal director igual.', 'Conocer casi precisamente propuesta fin libertad pueden. Quiere recursos político blanco tan mitad tierra.', 'Recuerdo seguro imagen humanos libro operación boca. Unión cuando volver largo buena. Intereses recuerdo fecha bien podrá tú hombre.']
['Cierto entrada qué posición sus mes. U imágenes puedo.\nA también posición premio instituciones ambiente. Nacional pedro sistema principio vivir.', 'Ya lleva operación c miedo existen.\nDirector tan dolor d sola juicio demás sólo. Partes haciendo queda corazón salud ninguna madre.', 'Mis duda manera aunque comercio van. Incluso metros manos mundial buen. Palabras momentos era comenzó ahora visto éxito.\nImágenes visto les esa según ideas.', 'Espera fácil ésta llegó económico. Sentido les nuestras según conocimiento. Usted hacerlo somos a presente.', 'México opinión habla junio tal misma. Están agua centros serie. Cambio millones mí buen evitar.']
['Españoles enfermedad informe memoria. Tipos haber hemos sean cuerpo oposición.\nPalabras sea su partidos puede. Política como única pero era ley tomar uno.', 'Socialista banco película conseguir ejército peso.\nFondo ex el lugar. Prueba ambiente otros mano técnica misma sistemas. Miedo aumento importancia formación.', 'Lejos habría ojos. Existe valores minutos. Porque esos explicó último análisis enfermedad muerto.\nJusticia hubiera período obra mayor máximo película. Plan cuarto argentina libro profesional.', 'Apoyo arte aquella del.\nSean he pasa espacio martín. Popular parte buenos cine. Mismos ministerio buen siendo cosa con diferencia.\nPasar voy torno manera mayo. Exterior dejó tal sur.', 'Pedro allí quería oposición. Curso nunca carne propuesta. Concepto través razones lejos actividades tanto.\nLas obra fecha saber características objetivo razón.\nBueno s mucho seguro mil pero soy duda.']

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.texts(nb_texts=5, max_nb_chars=50)
...
['Acerca europa cinco diez producción programas.', 'Estuvo secretario obra armas.', 'Escuela última tales existencia. P técnica luz.', 'Queda cuba televisión pablo.', 'Decía lucha nuestros. Permite momento días ser.']
['Muchas local parís cama función martín cine.', 'Mundo algunos ve muy.', 'Niños único conseguir todo.', 'Fuera felipe pone más ir año carlos.', 'Piel vez poner solución aquella.']
['Temas asimismo suelo razón lucha casi amigo.', 'Plaza función área adelante esto.', 'Medio horas datos seguro pie temas.', 'Poder parte habrá.', 'Diversas hablar viene mal.']
['Les suelo instituciones problema imágenes.', 'Dar es dos argentina.', 'Lugar mañana orden.', 'Creo destino quien presidente marcha.', 'Dio quienes especial menos pequeña.']
['Campaña vio has formas zona animales.', 'País cuya junto.', 'Salud ellas parte oposición.', 'Serie modo república somos.', 'Vuelve j todas camino.']

>>> 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()
...
'señora'
'comisión'
'fácil'
'esfuerzo'
'salud'

>>> 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。

If unique is True, this method will return a list containing unique words. Under the hood, random_sample() will be used for sampling without replacement. If unique is False, random_choices() is used instead, and the list returned may contain duplicates.

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.words()
...
['exterior', 'acerca', 'europa']
['cinco', 'diez', 'producción']
['programas', 'podía', 'nuestros']
['b', 'pequeña', 'prensa']
['da', 'estuvo', 'secretario']

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.words(nb=5)
...
['exterior', 'acerca', 'europa', 'cinco', 'diez']
['producción', 'programas', 'podía', 'nuestros', 'b']
['pequeña', 'prensa', 'da', 'estuvo', 'secretario']
['obra', 'armas', 'noviembre', 'supuesto', 'rodríguez']
['propio', 'marcha', 'pp', 'tiempos', 'mes']

>>> 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.es_ES.Provider(generator: Any)¶

Bases: Provider

first_name() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Rafaela'
'Rogelio'
'Marta'
'Tania'
'Sosimo'

first_name_female() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Sonia'
'Gabriela'
'Purificación'
'Vilma'
'Ignacia'

first_name_male() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Telmo'
'Guadalupe'
'Reynaldo'
'Victor'
'Humberto'

first_name_nonbinary() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Rafaela'
'Rogelio'
'Marta'
'Tania'
'Sosimo'

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()
...
'Letón'
'Maltés'
'Aimara'
'Igbo'
'Romanche'

last_name() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name()
...
'Plaza'
'Rivero'
'Arjona'
'Jove'
'Vidal'

last_name_female() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Plaza'
'Rivero'
'Arjona'
'Jove'
'Vidal'

last_name_male() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Plaza'
'Rivero'
'Arjona'
'Jove'
'Vidal'

last_name_nonbinary() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Plaza'
'Rivero'
'Arjona'
'Jove'
'Vidal'

name() → str¶

示例:: ‘John Doe’
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Purificación Rivero Arjona'
'José Mari Torre-Quirós'
'Jorge Gastón Gil Vargas'
'Epifanio Chaves Bustamante'
'Rosalía Dionisia Collado Menéndez'

name_female() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Purificación Rivero'
'Dora Vidal Torre'
'Ágata Mateos'
'Felisa de Vargas'
'Elisabet Chaves Bustamante'

name_male() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Reynaldo Rivero'
'Efraín Vidal Torre'
'Ángel Mateos'
'Gastón de Vargas'
'Epifanio Chaves Bustamante'

name_nonbinary() → str¶

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Purificación Rivero Arjona'
'José Mari Torre-Quirós'
'Jorge Gastón Gil Vargas'
'Epifanio Chaves Bustamante'
'Rosalía Dionisia Collado Menéndez'

prefix() → str¶

示例:

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

prefix_female() → str¶

示例:

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

prefix_male() → str¶

示例:

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

prefix_nonbinary() → str¶

示例:

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

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.es_ES.Provider(generator: Any)¶

基类: Provider

According to official specs: https://avancedigital.mineco.gob.es/es-ES/Servicios/Numeracion/Documents/Guia_Numeracion.pdf

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()
...
'+34942604876'
'+34901759382'
'+34 887 219 489'
'+34 845 411 578'
'+34 826565938'

`faker.providers.ssn`¶

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

Bases: Provider

A Faker provider for the Spanish VAT IDs and DOIs

cif() → str¶

https://es.wikipedia.org/wiki/C%C3%B3digo_de_identificaci%C3%B3n_fiscal :return: a random Spanish CIF

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.cif()
...
'F2721733J'
'G68148949'
'R5407399D'
'R6065206B'
'V5113887C'

nie() → str¶

https://es.wikipedia.org/wiki/N%C3%BAmero_de_identidad_de_extranjero :return: a random Spanish NIE

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.nie()
...
'Z4009645Z'
'Z3820421B'
'Y3671231P'
'X1691730B'
'X3261538T'

nif() → str¶

https://es.wikipedia.org/wiki/N%C3%BAmero_de_identificaci%C3%B3n_fiscal :return: NIF

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.nif()
...
'60586610X'
'06255568M'
'02959753K'
'11120719N'
'74580323V'

nuss(company: bool = False) → str¶

参数:: company – flag to indicate if we should generate a company NUSS
Returns:: a random Spanish Social Security Number (Número de la Seguridad Social)
示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.nuss()
...
'262647919005'
'455519701291'
'352026709029'
'042689926837'
'498481393739'

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.nuss(company=True)
...
'37048882137'
'46418453758'
'03306318657'
'27044050745'
'41348975595'

ssn() → str¶

示例:

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

vat_id() → str¶

http://ec.europa.eu/taxation_customs/vies/faq.html#item_11 :return: a random Spanish VAT ID

示例:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.vat_id()
...
'ES60487647w'
'ESZ3824219q'
'ESJ9241157g'
'ES65938778q'
'ESp80160975'

Locale es_ES¶

`faker.providers.address`¶

`faker.providers.automotive`¶

`faker.providers.bank`¶

`faker.providers.barcode`¶

`faker.providers.color`¶

`faker.providers.company`¶

`faker.providers.currency`¶

`faker.providers.date_time`¶

`faker.providers.internet`¶

`faker.providers.isbn`¶

`faker.providers.job`¶

`faker.providers.lorem`¶

`faker.providers.person`¶

`faker.providers.phone_number`¶

`faker.providers.ssn`¶

目录

上一主题

下一主题

本页

Locale es_ES¶

faker.providers.address¶

faker.providers.automotive¶

faker.providers.bank¶

faker.providers.barcode¶

faker.providers.color¶

faker.providers.company¶

faker.providers.currency¶

faker.providers.date_time¶

faker.providers.internet¶

faker.providers.isbn¶

faker.providers.job¶

faker.providers.lorem¶

faker.providers.person¶

faker.providers.phone_number¶

faker.providers.ssn¶

`faker.providers.address`¶

`faker.providers.automotive`¶

`faker.providers.bank`¶

`faker.providers.barcode`¶

`faker.providers.color`¶

`faker.providers.company`¶

`faker.providers.currency`¶

`faker.providers.date_time`¶

`faker.providers.internet`¶

`faker.providers.isbn`¶

`faker.providers.job`¶

`faker.providers.lorem`¶

`faker.providers.person`¶

`faker.providers.phone_number`¶

`faker.providers.ssn`¶