pydatafaker.business.create_vendor_table¶
-
pydatafaker.business.create_vendor_table(n=100)[source]¶ Create a table of fake vendors.
- Parameters
n (int, optional) – The number of vendors to create, by default 100.
- Returns
A dataframe containing: vendor_id, vendor_name, and vendor_address.
- Return type
pandas.DataFrame
Examples
>>> from pydatafaker import business >>> business.create_vendor_table() vendor_id vendor_name ... phone email 0 vendor_00001 Cross PLC ... 140.020.8594x615 christopher58@example.org 1 vendor_00002 Reese, Alexander and Brown ... 3053622738 anthony47@example.net 2 vendor_00003 Collins LLC ... 001-762-921-2180x55306 josephanderson@example.org 3 vendor_00004 Newton-Salazar ... (316)484-7324x28092 wcastro@example.net 4 vendor_00005 Lee-Pratt ... +1-273-523-6439x95391 stephenbeck@example.org .. ... ... ... ... ... 95 vendor_00096 Jones Group ... +1-356-662-3508 zcline@example.org 96 vendor_00097 Gray, Allison and Gomez ... (410)086-2754 sandersrobert@example.net 97 vendor_00098 Moreno PLC ... (854)754-1215x6266 johnjones@example.org 98 vendor_00099 Ruiz-Evans ... 177-212-9248x3227 gregorybryant@example.org 99 vendor_00100 Taylor-Harmon ... 180.498.3960 maryrangel@example.com [100 rows x 6 columns]