Toolkit for generating fake datasets.
Project description
Fake Dataset
Toolkit for generating fake datasets.
- Free software: MIT license
- Documentation: https://matheusfsa.github.io/fake_dataset
How to Install
pip install fake-dataset
Usage
>>> 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
Credits
This package was created with Cookiecutter and the giswqs/pypackage project template.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fake_dataset-0.0.2.tar.gz
(4.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fake_dataset-0.0.2.tar.gz.
File metadata
- Download URL: fake_dataset-0.0.2.tar.gz
- Upload date:
- Size: 4.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7e229b4171e78cc91f96d781bfcac6b9fe902a95f30836e4203d854ed372387b
|
|
| MD5 |
44243bd32e9f5b650c478cc249a53c77
|
|
| BLAKE2b-256 |
2f3d1812e390d1ef2f6fe4118f82472612996851a5a00ed19542e238914884b3
|
File details
Details for the file fake_dataset-0.0.2-py2.py3-none-any.whl.
File metadata
- Download URL: fake_dataset-0.0.2-py2.py3-none-any.whl
- Upload date:
- Size: 4.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f055e5801312ccd2cd044fe891f8000d9af9b68dc85ebb18e7b569156fbe86a9
|
|
| MD5 |
1895afe15f9c68a3d357ba038b4e8f3f
|
|
| BLAKE2b-256 |
54264b195d3b85b3bac3a7c3c728dbe8eb1799b1707615548f6870418ac9310b
|