CreateData

When you need to come up with a test dataset quickly.

Python

pip install CreateData

and you need to install:

pip install pandas numpy python-dateutil

Fast and easy data generation N-row

import CreateData.create_data as cd

cd.EasyData().gnrt({'size':1000}, easy=True)

Output example:

id	date	bool	int	float	str
0	2023-07-17	False	6	5.776716	ITYELsf
1	2024-01-01	True	8	6.385161	kvGhRr
2	2023-04-01	False	3	3.418855	Ur
3	2023-11-06	True	8	5.984482	PZqwSJaO
4	2023-07-16	False	1	4.696562	yvye

Need more columns and their customizations?

params = cd.EasyData().get_params()

Output:

{'size': 100, 'date': {'col': 1, 'min_date': '2023-02-27', 'max_date': '2024-02-27'}, 'bool': {'col': 1}, 'int': {'col': 1, 'min_int': 1, 'max_int': 10}, 'float': {'col': 1, 'min_float': 1, 'max_float': 10}, 'str': {'col': 1, 'min_str': 1, 'max_str': 10, 'dgts': False, 'pctn': False}}

small clarification:
max_date <- now()
min_date <- max_date - 1 year

Edit the dictionary and pass it to the function

cd.EasyData().gnrt(params)