Association-Metrics
Association-Metrics is a Python module for measure the degree of association between variables built on top of SciPy and Numpy, and is distributed under the MIT license.
The project started due to the lack of reliable source code to calculate Cramers'v, and from that, we decided to package-up our development.
Installation
Association-Metrics requires:
- Python (>= 3.6)
- NumPy (>= 1.13.3)
- SciPy (>= 0.19.1)
- Pandas (>= 1.2.1)
User installation
If you already have a working installation of numpy, scipy and pandas, the easiest way to install Association-Metrics is using pip
pip install association-metrics
Development
We welcome new contributors of all experience levels.
Source code
git clone https://github.com/HeberTU/association_metrics
Help and Support
In case of any doubt, you can always reach us via email at:
We will be more than happy to help you out.
1 maintainer
Metadata
1 maintainer
Release files for association-metrics 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| association-metrics-0.0.1.tar.gz | 3.2 kB | Details |
Release files / association-metrics-0.0.1.tar.gz
| Download URL | association-metrics-0.0.1.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
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twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5
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