Toolkit for generating fake datasets.
- Free software: MIT license
- Documentation: https://matheusfsa.github.io/fake_dataset
pip install fake-dataset>>> from fake_dataset import columns, generators
>>> data_gen = generators.DataGenerator(
... vehicle=columns.CategoricalRandomColumn(categories=["car", "bus", "bicycle"], missing_rate=(0.2, 0.5), na_value="NA"),
... year=columns.IntegerRandomColumn(values_range=(1950, 2010), missing_rate=(0.1, 0.2)),
... value=columns.FloatRandomColumn(values_range=(10e4, 10e5), missing_rate=(0.0, 0.0)),
... )
>>> data_gen.sample(3)
value vehicle year
0 823994.355388 car 2002
1 903007.903927 NA 1952
2 435372.320886 NA None
This package was created with Cookiecutter and the giswqs/pypackage project template.