Metadata-Version: 2.4
Name: akima
Version: 2026.8.8
Summary: Akima Interpolation
Home-page: https://www.cgohlke.com
Author: Christoph Gohlke
Author-email: cgohlke@cgohlke.com
License: BSD-3-Clause
Project-URL: Bug Tracker, https://github.com/cgohlke/akima/issues
Project-URL: Source Code, https://github.com/cgohlke/akima
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: C
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: 3.15
Requires-Python: >=3.12
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: numpy>=2.1
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Akima Interpolation
===================

Akima is a Python library that implements Akima's interpolation method
described in:

    A new method of interpolation and smooth curve fitting based on local
    procedures. Hiroshi Akima, J. ACM, October 1970, 17(4), 589-602.

A continuously differentiable sub-spline is built from piecewise cubic
polynomials. It passes through the given data points and will appear smooth
and natural.

This module is no longer being actively developed. Consider using
`scipy.interpolate.Akima1DInterpolator
<http://docs.scipy.org/doc/scipy/reference/interpolate.html>`_ instead.

:Author: `Christoph Gohlke <https://www.cgohlke.com>`_
:License: BSD-3-Clause
:Version: 2026.8.8

Quickstart
----------

Install the akima package and all dependencies from the
`Python Package Index <https://pypi.org/project/akima/>`_::

    python -m pip install -U akima

See `Examples`_ for using the programming interface.

Source code, examples, and support are available on
`GitHub <https://github.com/cgohlke/akima>`_.

Requirements
------------

This revision was tested with the following requirements and dependencies
(other versions may work):

- `CPython <https://www.python.org>`_ 3.12.10, 3.13.15, 3.14.7, 3.15.0rc 64-bit
- `Numpy <https://pypi.org/project/numpy>`_ 2.5.2

Revisions
---------

2026.8.8

- Make C extension ABI3 and free-threading compatible.
- Drop support for Python 3.11 and numpy 2.0 (SPEC0).
- Support Python 3.15.

2026.1.18

- Use multi-phase initialization.
- Improve code quality.

2025.8.1

- Drop support for Python 3.10, support Python 3.14.

2025.1.1

- Drop support for Python 3.9, support Python 3.13.

2024.5.24

- Fix docstring examples not correctly rendered on GitHub.
- Support NumPy 2.

2024.1.6

- Add type hints.
- Drop support for Python 3.8 and numpy 1.22 (NEP 29).

2022.9.12

- …

Refer to the CHANGES file for older revisions.

Examples
--------
>>> import numpy
>>> from matplotlib import pyplot
>>> from scipy.interpolate import Akima1DInterpolator
>>> def example():
...     '''Plot interpolated Gaussian noise.'''
...     x = numpy.sort(numpy.random.random(10) * 100)
...     y = numpy.random.normal(0.0, 0.1, size=len(x))
...     x2 = numpy.arange(x[0], x[-1], 0.05)
...     y2 = interpolate(x, y, x2)
...     y3 = Akima1DInterpolator(x, y)(x2)
...     pyplot.title('Akima interpolation of Gaussian noise')
...     pyplot.plot(x2, y2, 'r-', label='akima')
...     pyplot.plot(x2, y3, 'b:', label='scipy', linewidth=2.5)
...     pyplot.plot(x, y, 'go', label='data')
...     pyplot.legend()
...     pyplot.show()
...
>>> example()