Chatterjee's Xi, its Applications, and Offshoots
XicorPy is a Python package implementing Chatterjee's Xi, and its various offshoots. You can use the package with raw python objects, NumPy arrays, or Pandas DataFrames.
Please see the Documentation for an introductory tutorial and a full user guide.
Features
The package currently implements:
- Chatterjee's Xi from [1]
- Modified Xi from [2]
- Codependence Coefficient from [3]
- Feature Ordering by Conditional Independence (FOCI) for Feature Selection from [3]
Usage
The package is available on PyPI. You can install using pip: pip install xicorpy.
import xicorpy
x = [10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5]
y = [8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68]
xi = xicorpy.compute_xi_correlation(x, y)
xi, p_value = xicorpy.compute_xi_correlation(x, y, get_p_values=True)
Refer to the Docs for more details.
Contributing to XiCorPy
Any help with the package is greatly appreciated! Pull requests and bug reports are greatly welcome!
Citations:
1 maintainer
Metadata
1 maintainer
Release files for xicorpy 0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| xicorpy-0.6.tar.gz | 9.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xicorpy-0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.8 kB
Release files / xicorpy-0.6.tar.gz
| Download URL | xicorpy-0.6.tar.gz |
|---|---|
| Size | 9.2 kB |
| Tags | Source |
|
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Release files / xicorpy-0.6-py3-none-any.whl
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| Size | 10.6 kB |
| Tags | Python 3 |
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