faker.providers.phone_number.en_PH

Package Contents

Classes

BaseProvider

Provider

Provider for Philippine mobile and landline telephone numbers

class faker.providers.phone_number.en_PH.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

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

Bases: faker.providers.BaseProvider

Provider for Philippine mobile and landline telephone numbers

This provider has methods that generate phone numbers specific to service providers whenever applicable, because the kinds of services, the quality of said services, and even the fees may vary depending on the service provider and the service location. This in turn, affects subscriber behavior, e.g. someone with a SIM from company X may be very unlikely to respond to calls and texts sent from a company Y SIM as the service charge might be more expensive. The provider methods are there to enable the creation of more “realistic” fake data for such cases.

Additional Notes:
  • The Philippine telecommunication industry is dominated by the Globe-PLDT duopoly. Globe offers landline services under the Globe brand and mobile services under the Globe and TM brands. PLDT offers landline services under the PLDT brand, and its subsidiaries offer mobile services under the Smart, TNT, and SUN brands. The rest of the industry is shared by smaller players, and Bayantel is one of the more well-known players that provide landline services.

  • Globe mobile prefixes include both Globe and TM brands, and the Smart mobile prefixes include both Smart and TNT brands but not the SUN brand. Available sources only split the prefixes this way.

  • In October 2019, Area 2 landline numbers were migrated to an 8 digit scheme, while the rest of the country still uses the original 7 digit scheme. Area 2 is comprised of the whole National Capital Region (aka Metro Manila) and parts of surrounding provinces, and within this area, the service provider’s identifier is included in every 8 digit landline number.

Sources:
globe_mobile_number_prefixes: Tuple[str, Ellipsis] = ('817', '904', '905', '906', '915', '916', '917', '926', '927', '935', '936', '937', '945',...
smart_mobile_number_prefixes: Tuple[str, Ellipsis] = ('813', '907', '908', '909', '910', '911', '912', '913', '914', '918', '919', '920', '921',...
sun_mobile_number_prefixes: Tuple[str, Ellipsis] = ('922', '923', '924', '925', '931', '932', '933', '934', '941', '942', '943', '944')
globe_mobile_number_formats: Tuple[str, Ellipsis] = ('0{{globe_mobile_number_prefix}}-###-####', '+63{{globe_mobile_number_prefix}}-###-####')
smart_mobile_number_formats: Tuple[str, Ellipsis] = ('0{{smart_mobile_number_prefix}}-###-####', '+63{{smart_mobile_number_prefix}}-###-####')
sun_mobile_number_formats: Tuple[str, Ellipsis] = ('0{{sun_mobile_number_prefix}}-###-####', '+63{{sun_mobile_number_prefix}}-###-####')
mobile_number_formats: Tuple[str, Ellipsis]
bayantel_landline_identifiers: Tuple[str, Ellipsis]
misc_landline_identifiers: Tuple[str, Ellipsis]
non_area2_landline_area_codes: Tuple[str, Ellipsis] = ('32', '33', '34', '35', '36', '38', '42', '43', '44', '45', '46', '47', '48', '49', '52', '53',...
globe_area2_landline_number_formats: Tuple[str, Ellipsis] = ('02-7###-####', '+632-7###-####')
pldt_area2_landline_number_formats: Tuple[str, Ellipsis] = ('02-8###-####', '+632-8###-####')
bayantel_area2_landline_number_formats: Tuple[str, Ellipsis] = ('02-{{bayantel_landline_identifier}}-####', '+632-{{bayantel_landline_identifier}}-####')
misc_area2_landline_number_formats: Tuple[str, Ellipsis] = ('02-{{misc_landline_identifier}}-####', '+632-{{misc_landline_identifier}}-####')
area2_landline_number_formats: Tuple[str, Ellipsis]
non_area2_landline_number_formats: Tuple[str, Ellipsis] = ('0{{non_area2_landline_area_code}}-###-####', '+63{{non_area2_landline_area_code}}-###-####')
landline_number_formats: Tuple[str, Ellipsis]
_create_phone_number(formats: Sequence[str]) str
globe_mobile_number_prefix() str
smart_mobile_number_prefix() str
sun_mobile_number_prefix() str
bayantel_landline_identifier() str
misc_landline_identifier() str
non_area2_landline_area_code() str
globe_mobile_number() str
smart_mobile_number() str
sun_mobile_number() str
mobile_number() str
globe_area2_landline_number() str
pldt_area2_landline_number() str
bayantel_area2_landline_number() str
misc_area2_landline_number() str
area2_landline_number() str
non_area2_landline_number() str
landline_number() str