faker.providers.bank

Subpackages

Package Contents

Classes

BaseProvider

Provider

Implement default bank provider for Faker.

Attributes

localized

default_locale

class faker.providers.bank.BaseProvider(generator: Any)
__provider__ = 'base'
__lang__: Optional[str]
__use_weighting__ = False
language_locale_codes
locale() str

Generate a random underscored i18n locale code (e.g. en_US).

language_code() str

Generate a random i18n language code (e.g. en).

random_int(min: int = 0, max: int = 9999, step: int = 1) int

Generate a random integer between two integers min and max inclusive while observing the provided step value.

This method is functionally equivalent to randomly sampling an integer from the sequence range(min, max + 1, step).

Sample

min=0, max=15

Sample

min=0, max=15, step=3

random_digit() int

Generate a random digit (0 to 9).

random_digit_not_null() int

Generate a random non-zero digit (1 to 9).

random_digit_above_two() int

Generate a random digit above value two (2 to 9).

random_digit_or_empty() Union[int, str]

Generate a random digit (0 to 9) or an empty string.

This method will return an empty string 50% of the time, and each digit has a 1/20 chance of being generated.

random_digit_not_null_or_empty() Union[int, str]

Generate a random non-zero digit (1 to 9) or an empty string.

This method will return an empty string 50% of the time, and each digit has a 1/18 chance of being generated.

random_number(digits: Optional[int] = None, fix_len: bool = False) int

Generate a random integer according to the following rules:

  • If digits is None (default), its value will be set to a random integer from 1 to 9.

  • If fix_len is False (default), all integers that do not exceed the number of digits can be generated.

  • If fix_len is True, only integers with the exact number of digits can be generated.

Sample

fix_len=False

Sample

fix_len=True

Sample

digits=3

Sample

digits=3, fix_len=False

Sample

digits=3, fix_len=True

random_letter() str

Generate a random ASCII letter (a-z and A-Z).

random_letters(length: int = 16) Sequence[str]

Generate a list of random ASCII letters (a-z and A-Z) of the specified length.

Sample

length=10

random_lowercase_letter() str

Generate a random lowercase ASCII letter (a-z).

random_uppercase_letter() str

Generate a random uppercase ASCII letter (A-Z).

random_elements(elements: ElementsType[T] = ('a', 'b', 'c'), length: Optional[int] = None, unique: bool = False, use_weighting: Optional[bool] = None) Sequence[T]

Generate a list of randomly sampled objects from elements.

Set unique to False for random sampling with replacement, and set unique to True for random sampling without replacement.

If length is set to None or is omitted, length will be set to a random integer from 1 to the size of elements.

The value of length cannot be greater than the number of objects in elements if unique is set to True.

The value of elements can be any sequence type (list, tuple, set, string, etc) or an OrderedDict type. If it is the latter, the keys will be used as the objects for sampling, and the values will be used as weighted probabilities if unique is set to False. For example:

# Random sampling with replacement
fake.random_elements(
    elements=OrderedDict([
        ("variable_1", 0.5),        # Generates "variable_1" 50% of the time
        ("variable_2", 0.2),        # Generates "variable_2" 20% of the time
        ("variable_3", 0.2),        # Generates "variable_3" 20% of the time
        ("variable_4": 0.1),        # Generates "variable_4" 10% of the time
    ]), unique=False
)

# Random sampling without replacement (defaults to uniform distribution)
fake.random_elements(
    elements=OrderedDict([
        ("variable_1", 0.5),
        ("variable_2", 0.2),
        ("variable_3", 0.2),
        ("variable_4": 0.1),
    ]), unique=True
)
Sample

elements=(‘a’, ‘b’, ‘c’, ‘d’), unique=False

Sample

elements=(‘a’, ‘b’, ‘c’, ‘d’), unique=True

Sample

elements=(‘a’, ‘b’, ‘c’, ‘d’), length=10, unique=False

Sample

elements=(‘a’, ‘b’, ‘c’, ‘d’), length=4, unique=True

Sample
elements=OrderedDict([

(“a”, 0.45), (“b”, 0.35),

(“c”, 0.15), (“d”, 0.05),

]), length=20, unique=False

Sample
elements=OrderedDict([

(“a”, 0.45), (“b”, 0.35), (“c”, 0.15), (“d”, 0.05),

]), unique=True

random_choices(elements: ElementsType[T] = ('a', 'b', 'c'), length: Optional[int] = None) Sequence[T]

Generate a list of objects randomly sampled from elements with replacement.

For information on the elements and length arguments, please refer to random_elements() which is used under the hood with the unique argument explicitly set to False.

Sample

elements=(‘a’, ‘b’, ‘c’, ‘d’)

Sample

elements=(‘a’, ‘b’, ‘c’, ‘d’), length=10

Sample
elements=OrderedDict([

(“a”, 0.45), (“b”, 0.35), (“c”, 0.15), (“d”, 0.05),

])

Sample
elements=OrderedDict([

(“a”, 0.45), (“b”, 0.35), (“c”, 0.15), (“d”, 0.05),

]), length=20

random_element(elements: ElementsType[T] = ('a', 'b', 'c')) T

Generate a randomly sampled object from elements.

For information on the elements argument, please refer to random_elements() which is used under the hood with the unique argument set to False and the length argument set to 1.

Sample

elements=(‘a’, ‘b’, ‘c’, ‘d’)

Sample size=10
elements=OrderedDict([

(“a”, 0.45), (“b”, 0.35), (“c”, 0.15), (“d”, 0.05),

])

random_sample(elements: ElementsType[T] = ('a', 'b', 'c'), length: Optional[int] = None) Sequence[T]

Generate a list of objects randomly sampled from elements without replacement.

For information on the elements and length arguments, please refer to random_elements() which is used under the hood with the unique argument explicitly set to True.

Sample

elements=(‘a’, ‘b’, ‘c’, ‘d’, ‘e’, ‘f’)

Sample

elements=(‘a’, ‘b’, ‘c’, ‘d’, ‘e’, ‘f’), length=3

randomize_nb_elements(number: int = 10, le: bool = False, ge: bool = False, min: Optional[int] = None, max: Optional[int] = None) int

Generate a random integer near number according to the following rules:

  • If le is False (default), allow generation up to 140% of number. If True, upper bound generation is capped at 100%.

  • If ge is False (default), allow generation down to 60% of number. If True, lower bound generation is capped at 100%.

  • If a numerical value for min is provided, generated values less than min will be clamped at min.

  • If a numerical value for max is provided, generated values greater than max will be clamped at max.

  • If both le and ge are True, the value of number will automatically be returned, regardless of the values supplied for min and max.

Sample

number=100

Sample

number=100, ge=True

Sample

number=100, ge=True, min=120

Sample

number=100, le=True

Sample

number=100, le=True, max=80

Sample

number=79, le=True, ge=True, min=80

numerify(text: str = '###') str

Generate a string with each placeholder in text replaced according to the following rules:

  • Number signs (‘#’) are replaced with a random digit (0 to 9).

  • Percent signs (‘%’) are replaced with a random non-zero digit (1 to 9).

  • Dollar signs (‘$’) are replaced with a random digit above two (2 to 9).

  • Exclamation marks (‘!’) are replaced with a random digit or an empty string.

  • At symbols (‘@’) are replaced with a random non-zero digit or an empty string.

Under the hood, this method uses random_digit(), random_digit_not_null(), random_digit_or_empty(), and random_digit_not_null_or_empty() to generate the random values.

Sample

text=’Intel Core i%-%%##K vs AMD Ryzen % %%##X’

Sample

text=’!!! !!@ !@! !@@ @!! @!@ @@! @@@’

lexify(text: str = '????', letters: str = string.ascii_letters) str

Generate a string with each question mark (‘?’) in text replaced with a random character from letters.

By default, letters contains all ASCII letters, uppercase and lowercase.

Sample

text=’Random Identifier: ??????????’

Sample

text=’Random Identifier: ??????????’, letters=’ABCDE’

bothify(text: str = '## ??', letters: str = string.ascii_letters) str

Generate a string with each placeholder in text replaced according to the following rules:

  • Number signs (‘#’) are replaced with a random digit (0 to 9).

  • Question marks (‘?’) are replaced with a random character from letters.

By default, letters contains all ASCII letters, uppercase and lowercase.

Under the hood, this method uses numerify() and and lexify() to generate random values for number signs and question marks respectively.

Sample

letters=’ABCDE’

Sample

text=’Product Number: ????-########’

Sample

text=’Product Number: ????-########’, letters=’ABCDE’

hexify(text: str = '^^^^', upper: bool = False) str

Generate a string with each circumflex (‘^’) in text replaced with a random hexadecimal character.

By default, upper is set to False. If set to True, output will be formatted using uppercase hexadecimal characters.

Sample

text=’MAC Address: ^^:^^:^^:^^:^^:^^’

Sample

text=’MAC Address: ^^:^^:^^:^^:^^:^^’, upper=True

faker.providers.bank.localized = True
faker.providers.bank.default_locale = 'en_GB'
class faker.providers.bank.Provider(generator: Any)

Bases: faker.providers.BaseProvider

Implement default bank provider for Faker.

Important

Bank codes, account numbers, and other ID’s generated by this provider are only valid in form, i.e. they conform to some standard/format, are of the expected lengths, and have valid checksums (where applicable). Results generated that turn out to be valid in real life are purely coincidental.

Sources:

ALPHA: Dict[str, str]
bban_format: str = '????#############'
country_code: str = 'GB'
aba() str

Generate an ABA routing transit number.

bank_country() str

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

bban() str

Generate a Basic Bank Account Number (BBAN).

iban() str

Generate an International Bank Account Number (IBAN).

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.

Sample

Sample

use_dataset=True

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.

Sample

Sample

use_dataset=True

swift(length: Optional[int] = 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.

Sample

Sample

length=8

Sample

length=8, use_dataset=True

Sample

length=11

Sample

length=11, primary=True

Sample

length=11, use_dataset=True

Sample

length=11, primary=True, use_dataset=True