DSFaker aims at providing data scientists with functions for generating and streaming arrays of data such as:
Time-series
Date/Datetime
Autoincrement & random autoincrement
Trigonometric (Sin, Sinh, Cos, Cosh, Tan, Tanh)
Random distributions
Pattern repetition
Noise application
Basic operators between generators and/or python int/float types (+, -, /, //, *, …) are also implemented.
To generate such data, you can specify the distribution you want amongst the ones provided by numpy.random. Or you can also implement your own distribution to generate data.
Installation
pip install dsfakerDocumentation
The documentation is available here: https://eds-aphp.github.io/dsfaker/.
Release files for dsfaker 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dsfaker-0.2.3.tar.gz | 9.8 kB | Without provenance | Details for dsfaker-0.2.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dsfaker-0.2.3-py3-none-any.whl | Python 3 | none | any | Details for dsfaker-0.2.3-py3-none-any.whl |
Total release size: 22.3 kB
Release files / dsfaker-0.2.3.tar.gz
| Download URL | dsfaker-0.2.3.tar.gz |
|---|---|
| Size | 9.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7f5000683081b0ae39f5173d3be2dda75801a56e8bed243bb08f1a544b0412c8
|
|
BLAKE2b-256 checksum How to use checksums |
14c866079c98e17ea18eafac2dd9b9464879dc537418f007d9a70d7c21c3d84e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.6
|
Release files / dsfaker-0.2.3-py3-none-any.whl
| Download URL | dsfaker-0.2.3-py3-none-any.whl |
|---|---|
| Size | 12.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7126504ef7d35dc867b4860c6ef16148a8b42f931b57a050878e10ae290fcd85
|
|
BLAKE2b-256 checksum How to use checksums |
0f13e7b82dec2eb68f2e820c6a456749ec4abdae322ad00ac61559cddc79016f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.5.6
|
Security for dsfaker 0.2.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
