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piecewise-rational

library1.0.0pypypi✓ verified 80d ago

Shape-preserving piecewise rational cubic interpolation implementing the Delbourgo-Gregory algorithm. Version 1.0.0, requires Python 3.9+.

analytics

pip install piecewise-rational

github ↗homepage ↗

INSTALL

IMPORT

SIG · PIECEWISE-RATIONAL

piecewise-rational

analyticspythonv1.0.0

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

rational_cubic_interpolation

✓ from piecewise_rational import rational_cubic_interpolation

✗ from piecewise_rational import PiecewiseRational

rationalcubic

✓ from piecewise_rational import rationalcubic

✗ from piecewise_rational import PiecewiseRational

constants

✓ from piecewise_rational import constants

✗ from piecewise_rational import PiecewiseRational

Create a piecewise rational interpolant from x,y points and evaluate at a single point.

from piecewise_rational import PiecewiseRational import numpy as np x = np.array([0, 1, 2, 3, 4, 5]) y = np.array([0, 1, 0, 1, 0, 1]) interp = PiecewiseRational(x, y, monotonic=True) print(interp.evaluate(2.5))

Debug

Known issues

gotchaThe input arrays must be sorted by x. The function does not check for monotonicity of x; unsorted data will produce incorrect results.

fix

Sort your x,y arrays before passing to PiecewiseRational: x, y = zip(*sorted(zip(x, y)))

affects: all

breakingVersion 1.0.0 changed the default for the 'monotonic' parameter from False to True, which may alter interpolation results for non-monotonic data.

fix

Explicitly set monotonic=False if you need the old behavior.

affects: <1.0.0

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Version history

1.0.0latest on PyPI · released Jan 13, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

21 hits · last 30 days

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OpenAI (training)

Resources

githubhttps://github.com/vollib/piecewise-rational ↗

homepagehttps://github.com/vollib/piecewise-rational ↗