{"id":26127,"date":"2021-12-14T08:46:00","date_gmt":"2021-12-14T03:16:00","guid":{"rendered":"https:\/\/python-programs.com\/?p=26127"},"modified":"2021-12-14T08:46:00","modified_gmt":"2021-12-14T03:16:00","slug":"python-faker-module-with-examples","status":"publish","type":"post","link":"https:\/\/python-programs.com\/python-faker-module-with-examples\/","title":{"rendered":"Python Faker Module with Examples"},"content":{"rendered":"
Faker Module:<\/strong><\/p>\n The Faker module is used to produce random data, including attributes such as name, age, and location.<\/p>\n The question now is, why would one require Fake data? We may require false or fake data to either fill in the blanks in the databases with artificial data or to just test an algorithm.<\/p>\n How to import the Faker module?<\/strong><\/p>\n To examine the various functions and methods of the faker library, we must first import it.<\/p>\n Installation<\/strong><\/p>\n Output:<\/strong><\/p>\n Importing<\/strong><\/p>\n How to Create Fake data?<\/strong><\/p>\n To generate some Fake data, we must first create a\u00a0\u00a0faker object of the\u00a0 Faker library and then apply various functions to the object to generate the false random data.<\/p>\n Use\u00a0the faker.name()\u00a0function to\u00a0generate\u00a0a random name.<\/p>\n Approach:<\/strong><\/p>\n Below is the implementation:<\/strong><\/p>\n Output:<\/strong><\/p>\n Program to generate 8 random names:<\/strong><\/p>\n Output:<\/strong><\/p>\n How to Create Fake data in different languages?<\/strong><\/p>\n By declaring it in the Faker object, we may easily generate fake data in multiple languages.<\/p>\n Approach:<\/strong><\/p>\n Below is the implementation:<\/strong><\/p>\n Output:<\/strong><\/p>\n Generation of Faker Text<\/strong><\/p>\n Use the text() function, to generate fake text and sentences with the same faker objects<\/p>\n Approach:<\/strong><\/p>\n Below is the implementation:<\/strong><\/p>\n Output:<\/strong><\/p>\n Generation of Fake Tabular data<\/strong><\/p>\n Let’s now try to generate a large number of data points in Python using the dataframes of pandas library. We use the profile() method of the faker object to collect various or multiple types of data.<\/p>\n Output:<\/strong><\/p>\n <\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Faker Module: The Faker module is used to produce random data, including attributes such as name, age, and location. The question now is, why would one require Fake data? We may require false or fake data to either fill in the blanks in the databases with artificial data or to just test an algorithm. How …<\/p>\npip install faker<\/pre>\n
Collecting faker Downloading Faker-10.0.0-py3-none-any.whl (1.2 MB) \r\n|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1.2 MB 2.1 MB\/s Requirement already \r\nsatisfied: python-dateutil>=2.4 in \/usr\/local\/lib\/python3.7\/dist-packages \r\n(from faker) (2.8.2) Requirement already satisfied: typing-extensions>=\r\n3.10.0.2 in \/usr\/local\/lib\/python3.7\/dist-packages (from faker) (3.10.0.2)\r\nRequirement already satisfied: text-unidecode==1.3 in \/usr\/local\/lib\/\r\npython3.7\/dist-packages (from faker) (1.3) Requirement already satisfied:\r\nsix>=1.5 in \/usr\/local\/lib\/python3.7\/dist-packages (from python-dateutil>=\r\n2.4->faker) (1.15.0)\r\nInstalling collected packages:\r\nfaker Successfully installed faker-10.0.0<\/pre>\n
from faker import Faker<\/pre>\n
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# Import faker from Faker module using the import keyword.\r\nfrom faker import Faker\r\n# Create an object for the Faker library and store it in a variable.\r\nfaker_obj = Faker()\r\n# Generate\u00a0a random name using faker_obj.name()\u00a0function and print it\r\nprint(faker_obj.name())\r\n<\/pre>\n
Tammy Clay<\/pre>\n
# Import faker from Faker module using the import keyword.\r\nfrom faker import Faker\r\n# Create an object for the Faker library and store it in a variable.\r\nfaker_obj = Faker()\r\n# Generate\u00a08 random names using faker_obj.name()\u00a0function, for loop and print it\r\nfor itr in range(8):\r\n print(faker_obj.name())\r\n<\/pre>\n
Bryan Hernandez \r\nChristopher Perez \r\nPhillip Freeman \r\nEdward Mills \r\nLarry Russell \r\nDenise Benjamin \r\nMary Reeves \r\nJesus Washington<\/pre>\n
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# Import faker from Faker module using the import keyword.\r\nfrom faker import Faker\r\n# Create an object for the Faker library by passing some random\r\n# language as an argument to it and store it in a variable.\r\nfaker_obj = Faker('hi_IN')\r\n# Generate\u00a08 random names using faker_obj.name()\u00a0function, for loop and print it.\r\nfor itr in range(8):\r\n print(faker_obj.name())\r\n<\/pre>\n
\u0938\u093f\u0902\u0939, \u0930\u0924\u0928\r\n\u0935\u093f\u0935\u0947\u0915 \u0938\u0947\u0928\u093e\u0927\u0940\u0936 \r\n\u092e\u094b\u0939\u093f\u0928\u0940 \u0928\u093e\u092e \r\n\u0936\u093e\u0928\u094d\u0924\u093e \u092c\u093e\u0932\u093e\u0938\u0941\u092c\u094d\u0930\u092e\u0923\u093f\u092f\u092e \r\n\u0905\u0926\u094d\u0935\u093f\u0915\u093e \u092e\u0926\u0928 \r\n\u0926\u0940\u092f\u093e \u0930\u093e\u092e\u0936\u0930\u094d\u092e\u093e \r\n\u0939\u0947\u0917\u0921\u0947, \u092e\u094b\u0939\u093f\u0928\u0940\r\n\u0936\u0928\u093e\u092f\u093e \u092e\u0902\u0921\u0932<\/pre>\n
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# Import faker from Faker module using the import keyword.\r\nfrom faker import Faker\r\n# Create an object for the Faker library and store it in a variable.\r\nfaker_obj = Faker()\r\n# Generate fake text using the text() function with the faker object and print it.\r\nprint(faker_obj.text())\r\n<\/pre>\n
Citizen spend wear reach customer science. Charge sell instead from certain. Increase work free teacher partner weight.<\/pre>\n
# Import pandas library as pd using the import keyword.\r\nimport pandas as pd\r\n# Import faker from Faker module using the import keyword.\r\nfrom faker import Faker\r\n# Create an object for the Faker library and store it in a variable.\r\nfaker_obj = Faker()\r\n# Use profile() method of the faker object to collect various or multiple\r\n# types of data.\r\n# Store it in another variable.\r\nrslt_data = [faker_obj.profile() for a in range(5)]\r\n# Generate some random tabular data using the DataFrame() function\r\n# of pandas library\r\n# Store it in another variable.\r\ntab_data = pd.DataFrame(rslt_data)\r\n# Print the tabular fake data\r\nprint(tab_data)\r\n<\/pre>\n
job ... birthdate\r\n0 Research scientist (medical) ... 1924-01-28\r\n1 Therapist, art ... 1908-02-22\r\n2 Tour manager ... 1932-08-31\r\n3 Careers information officer ... 1995-06-03\r\n4 Nutritional therapist ... 2015-02-20\r\n\r\n[5 rows x 13 columns]<\/pre>\n