Dumda
Python Library to get fast extensive Dummy Data for testing https://pypi.org/project/dumda/
Installation
pip install dumda
Usage:
Cities
from dumda import cities
# get a single random city, either from the
# entire pool or from a specific country
print(cities.get_random_city())
print(cities.get_random_city("United States"))
# get a list of random cities, this can also be
# called with a given country (cities.get_random_cities(5, "Zimbabwe")
print(cities.get_random_cities(10))
output
Somerset East
Paducah
['Watsa', 'Westerstede', 'Porto-Novo', 'Dushanbe',
'Hoeyang', 'Uozu', 'Riyadh', 'Lashio', 'Arendal',
'Tlapa de Comonfort']
Names
the meta is pretty much the same with names and cities, except a few additional operations
from dumda import names
# get a random name
print(names.get_random_name())
# instead of specific countries, you can pass specific sex
print(names.get_random_name("boy"))
print()
# like, cities get a random list
b = names.get_random_names(15, "boy")
g = names.get_random_names(15, "girl")
the_class = b + g
print("class list: {}".format(the_class))
print()
# additional query options
# generate a full name, for more accurate dummy data
print(names.get_full_name())
# there is also a multiple version of the function,
# and of course you can enter a sex
print(names.get_full_names(5))
print(names.get_full_name("boy"))
print(names.get_full_names(3, "girl"))
print()
# I added this just because, but you can also
# get a list of names based on letter
good_names = names.get_names_by_letter("o", 3)
print(good_names)
print(good_names[-1])
output
Armando
Andre
class list: ['Lupe', 'Wilbert', 'Torrence', 'Shad', 'Kyson',
'Keaton', 'Destin', 'Ridge', 'Jorden', 'Enzo', 'Reginal',
'Aarav', 'Deontae', 'Reggie', 'Kameron', 'Anya', 'Therese',
'Kaylee', 'Linette', 'Greta', 'Allie', 'Deanne', 'Coretta',
'Nila', 'Jazlyn', 'Lolita', 'Cherry', 'Clare', 'Breanne', 'Cheri']
Davian Yung
['Glynda Zavala', 'Unknown Booth', 'Leigh Flood', 'Ben Dupree',
'Adrien Zachary']
Kimberly Higgins
['Jocelyn Zelaya', 'Kalene Ross', 'Melba Tran']
['Oscar', 'Otis', 'Oliver']
Oliver
Phone Numbers
In cases that you are making something like a phonebook or directory, you can also generate phone numbers (that follow U.S. formatting). You can optionally pass an area code if you want to generate phones for people from a specific area.
from dumda.phones import generate_number
# generate a random phone number based on US standard
print(generate_number())
# generate based on a given area code
print(generate_number("202"))
output:
901-212-2734
202-741-8998
Emails
Using this package's name class you can also generate random emails
from dumda.names import get_full_name
from dumda.emails import generate_email
# Pass a full name to generate an email
y = get_full_name()
x = generate_email(y)
print(y)
print(x)
z = get_full_name()
print(z)
print(generate_email(z))
output:
Armando Charles
[email protected]
Virgie Innocent
[email protected]
Person Object
Now if you were thinking of combining these for some objects in your program and wanted to keep it simple, I've got it covered.
from dumda import Person
person_one = Person()
# optionally pass sex and country of person
person_two = Person(country="United Kingdom", sex="girl")
print(person_one.json())
print(person_two.json())
output:
{'full_name': 'Armando Charles', 'location': 'Fairhope', 'email': '[email protected]', 'phone': '763-859-7018'}
{'full_name': 'Kinsley Louis', 'location': 'Weybridge', 'email': '[email protected]', 'phone': '623-88-6788'}
83 Dec 14, 2022
1 Dec 19, 2021
35 Sep 19, 2022
5 Sep 23, 2022
1 Oct 24, 2022
3 Nov 7, 2021
1 Nov 18, 2021
1 Apr 12, 2022
211 Jan 1, 2023
3 Jan 03, 2022
1 Nov 17, 2021
[email protected]">
4 Dec 16, 2022
36 Dec 13, 2022
1 Jan 26, 2022
12 May 25, 2022
12 Aug 08, 2022
1 Nov 26, 2021
1 Feb 08, 2022
192 Jan 03, 2023
12 Oct 30, 2022
1 Nov 26, 2021
9 Dec 19, 2022
2 Feb 17, 2022
44 Nov 15, 2022
3 Mar 22, 2022
3 Sep 30, 2022
1.1k Jan 08, 2023
6 May 06, 2022
2 Nov 24, 2021