lightkde
A lightning fast, lightweight, and reliable kernel density estimation.
- Easy to use, e.g.
density_vec, x_vec = kde_1d(sample_vec=sample). - Works with 1d and 2d samples.
- Works with weighted samples as well.
- Based on the MATLAB implementations of Botev: kde, kde2d.
Install
pip install lightkde
Usage
import numpy as np
from lightkde import kde_1d
sample = np.random.randn(1000)
density_vec, x_vec = kde_1d(sample_vec=sample)
For further examples see the documentation.
Other kde packages
Other python packages for kernel density estimation:
1 maintainer
Release files for lightkde 1.0.5
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lightkde-1.0.5.tar.gz | 178.8 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lightkde-1.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 188.2 kB
Release files / lightkde-1.0.5.tar.gz
| Download URL | lightkde-1.0.5.tar.gz |
|---|---|
| Size | 178.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Size | 9.4 kB |
| Tags | Python 3 |
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