@@ -55,37 +55,37 @@ product_reviews = client.fancy_random.generate_product_reviews(size=2, product='
5555| Address | ` client.address.get_random(size=5) ` | df of addresses |
5656| Appliances | ` client.appliance.get_random(size=5) ` | df of appliances |
5757| Apps | ` client.app.get_random(size=5) ` | df of apps |
58- | Banks | ` client.bank.get_random(size=5) ` | df of banks |
59- | Beers | ` client.beer.get_random(size=5) ` | df of beers |
58+ | Banks | ` client.bank.get_random(size=5) ` | df of banks : bank : |
59+ | Beers | ` client.beer.get_random(size=5) ` | df of beers : beers : |
6060| Blood | ` client.blood.get_random(size=5) ` | df of blood types |
61- | Credit Cards | ` client.business_credit_card.get_random(size=5) ` | df of credit card numbers|
61+ | Credit Cards | ` client.business_credit_card.get_random(size=5) ` | df of credit card numbers : credit_card : |
6262| Cannabis | ` client.cannabis.get_random(size=5) ` | df of cannabis data |
6363| Code | ` client.code.get_random(size=5) ` | df of code |
64- | Coffee | ` client.coffee.get_random(size=5) ` | df of coffee |
64+ | Coffee | ` client.coffee.get_random(size=5) ` | df of coffee : coffee : |
6565| Commerce | ` client.commerce.get_random(size=5) ` | df of products |
6666| Company | ` client.company.get_random(size=5) ` | df of company data |
6767| Computer | ` client.computer.get_random(size=5) ` | df of operating systems |
6868| Crypto | ` client.crypto.get_random(size=5) ` | df of Crypto hashes |
6969| Crypto Coin | ` client.crypto_coin.get_random(size=5) ` | df of crypto coins |
7070| Color | ` client.color.get_random(size=5) ` | df of colors |
7171| Dessert | ` client.dessert.get_random(size=5) ` | df of desserts |
72- | Devices | ` client.device.get_random(size=5) ` | df of phones |
72+ | Devices | ` client.device.get_random(size=5) ` | df of phones : iphone : |
7373| Food | ` client.food.get_random(size=5) ` | df of foods |
74- | Names | ` client.name.get_random(size=5) ` | df of full names |
74+ | Names | ` client.name.get_random(size=5) ` | df of full names : name_badge : |
7575| Hipster | ` client.hipster.get_random(size=5) ` | df of hipster text |
7676| Invoice | ` client.invoice.get_random(size=5) ` | df of invoice data |
7777| User | ` client.user.get_random(size=5) ` | df of user data |
7878| Stripe | ` client.stripe.get_random(size=5) ` | df of stripe financial data |
7979| Subscription | ` client.subscription.get_random(size=5) ` | df of subscriptions |
80- | Vehicle | ` client.vehicle.get_random(size=5) ` | df of vehicles |
80+ | Vehicle | ` client.vehicle.get_random(size=5) ` | df of vehicles : car : |
8181| Id_Number | ` client.id_number.get_random(size=5) ` | df of id numbers - Including SSN |
8282| Internet Stuff | ` client.internet_stuff.get_random(size=5) ` | df of logins and browser info |
8383| Lorem Ipsum | ` client.lorem_ipsum.get_random(size=5) ` | df of fake text for website |
8484| Lorem Pixel | ` client.lorem_pixel.get_random(size=5) ` | df of fake image data |
8585| Lorem Flickr | ` client.lorem_flickr.get_random(size=5) ` | df of fake image from flickr |
8686| Nation | ` client.nation.get_random(size=5) ` | df of nations |
8787| Number | ` client.number.get_random(size=5) ` | df of numbers |
88- | Phone Number | ` client.phone_number.get_random(size=5) ` | df of Phone Numbers |
88+ | Phone Number | ` client.phone_number.get_random(size=5) ` | df of Phone Numbers : telephone : |
8989| Place Hold It | ` client.placeholdit.get_random(size=5) ` | df of placeholder images |
9090| Restaurant | ` client.restaurant.get_random(size=5) ` | df of restaurants |
9191| Fancy Random | ` client.fancy_random.generate_business_name(size=5) ` | df of fake business Names |
0 commit comments