tblfaker
tblfaker is a Python library to generate fake tabular data.
pip install tblfaker
Install all the extra dependencies:
pip install tblfaker[all]
| Sample Code: | from tblfaker import TableFaker
faker = TableFaker()
print("[1]")
for row in faker.generate(["name", "address"], rows=4).as_tuple():
print(row)
print("\n[2]")
for row in faker.generate(["name", "address"], rows=4).as_tuple():
print(row) |
|---|---|
| Output: | [1]
Row(name='Jonathan Hendrix', address='368 Melanie Inlet Suite 890\nLake Stephanie, MT 17441')
Row(name='Kristina Simmons', address='3867 Perry Alley Suite 957\nLindafurt, FL 12507')
Row(name='Rebecca Velasquez', address='107 Karla Forges Apt. 925\nEast Jonathan, NC 85462')
Row(name='Jordan Morris', address='6341 Jessica Walks\nReynoldsshire, MD 05131')
[2]
Row(name='Caitlin Bush', address='87380 Barbara Haven Suite 042\nHutchinsonburgh, IA 39544')
Row(name='Jennifer King', address='39729 Gray Inlet Apt. 693\nPort Peter, AL 80733')
Row(name='Stephanie Smith', address='256 Emily Street\nCooperhaven, MS 70299')
Row(name='Nicholas Miller', address='59845 Daniel Ford Suite 729\nDamontown, UT 19811
|
Fake tabular data can reproduce by passing the same seed value to TableFaker constructor.
| Sample Code: | from tblfaker import TableFaker
seed = 1
print("[1]")
faker = TableFaker(seed=seed)
for row in faker.generate(["name", "address"], rows=4).as_tuple():
print(row)
print("\n[2]")
faker = TableFaker(seed=seed)
for row in faker.generate(["name", "address"], rows=4).as_tuple():
print(row) |
|---|---|
| Output: | [1]
Row(name='Ryan Gallagher', address='6317 Mary Light\nSmithview, HI 13900')
Row(name='Amanda Johnson', address='3608 Samuel Mews Apt. 337\nHousebury, WA 13608')
Row(name='Willie Heath', address='868 Santiago Grove\nNicolehaven, NJ 05026')
Row(name='Dr. Jared Ortega', address='517 Rodriguez Divide Suite 570\nWest Melinda, NH 85325')
[2]
Row(name='Ryan Gallagher', address='6317 Mary Light\nSmithview, HI 13900')
Row(name='Amanda Johnson', address='3608 Samuel Mews Apt. 337\nHousebury, WA 13608')
Row(name='Willie Heath', address='868 Santiago Grove\nNicolehaven, NJ 05026')
Row(name='Dr. Jared Ortega', address='517 Rodriguez Divide Suite 570\nWest Melinda, NH 85325')
|
| Sample Code: | from tblfaker import TableFaker
faker = TableFaker(locale="ja_JP")
for row in faker.generate(["name", "address"], rows=4).as_tuple():
print(row) |
|---|---|
| Output: | Row(name='工藤 健一', address='宮崎県武蔵村山市六番町19丁目15番11号')
Row(name='井上 聡太郎', address='愛媛県長生郡白子町豊町33丁目7番20号 戸島コート620')
Row(name='大垣 美加子', address='京都府山武郡芝山町三ノ輪34丁目15番8号 クレスト所野560')
Row(name='宇野 くみ子', address='宮城県八街市西浅草20丁目24番6号')
|
| Sample Code: | from tblfaker import TableFaker
import json
faker = TableFaker(seed=1)
print(json.dumps(faker.generate(["name", "address"], rows=2, table_name="dict").as_dict(), indent=4)) |
|---|---|
| Output: | {
"dict": [
{
"name": "Ryan Gallagher",
"address": "6317 Mary Light\nSmithview, HI 13900"
},
{
"name": "Amanda Johnson",
"address": "3608 Samuel Mews Apt. 337\nHousebury, WA 13608"
}
]
} |
| Sample Code: | from tblfaker import TableFaker
faker = TableFaker(seed=seed)
print(faker.generate(["name", "address"], rows=4).as_dataframe()) |
|---|---|
| Output: | name address
0 Ryan Gallagher 6317 Mary Light\nSmithview, HI 13900
1 Amanda Johnson 3608 Samuel Mews Apt. 337\nHousebury, WA 13608
2 Willie Heath 868 Santiago Grove\nNicolehaven, NJ 05026
3 Dr. Jared Ortega 517 Rodriguez Divide Suite 570\nWest Melinda, ...
|