Piecewise Linear Fits to Noisy Data
Use this package to perform efficient piecewise linear fits to noisy data.
Installation
Install the latest released version from pypi using:
pip install pwlfit
The required dependencies are numpy, scipy, yaml.
The changes with each version are documented here.
Quick Start
Fit some sample data included in this package using:
from pwlfit.util import read_sample_data
from pwlfit.grid import Grid
from pwlfit.driver import PWLinearFitter
x, y, ivar = read_sample_data('A')
grid = Grid(x, ngrid=100)
fitter = PWLinearFitter(grid)
fit = fitter(y, ivar)
plt.plot(x, y, '.')
plt.plot(fit.xknots, fit.yknots, 'o-');
to produce this plot:
For more details see the Quickstart notebook: readonly or live (via google colab).
1 maintainer
Metadata
1 maintainer
Release files for pwlfit 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| pwlfit-0.2.0.tar.gz | 84.5 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pwlfit-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 163.3 kB
Release files / pwlfit-0.2.0.tar.gz
| Download URL | pwlfit-0.2.0.tar.gz |
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| Size | 84.5 kB |
| Tags | Source |
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| Download URL | pwlfit-0.2.0-py3-none-any.whl |
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| Size | 78.8 kB |
| Tags | Python 3 |
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Signed by GitHub Actions, verified by PyPI on Apr 6, 2025.
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